DynProg.cpp

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00001 /*
00002  * This program is free software; you can redistribute it and/or modify
00003  * it under the terms of the GNU General Public License as published by
00004  * the Free Software Foundation; either version 2 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Written (W) 1999-2007 Soeren Sonnenburg
00008  * Written (W) 1999-2007 Gunnar Raetsch
00009  * Written (W) 2008-2009 Jonas Behr
00010  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
00011  */
00012 
00013 #include <shogun/structure/DynProg.h>
00014 #include <shogun/mathematics/Math.h>
00015 #include <shogun/io/SGIO.h>
00016 #include <shogun/lib/config.h>
00017 #include <shogun/features/StringFeatures.h>
00018 #include <shogun/features/Alphabet.h>
00019 #include <shogun/structure/Plif.h>
00020 #include <shogun/structure/IntronList.h>
00021 #include <shogun/lib/Array.h>
00022 #include <shogun/lib/Array2.h>
00023 #include <shogun/lib/Array3.h>
00024 
00025 #include <stdlib.h>
00026 #include <stdio.h>
00027 #include <time.h>
00028 #include <ctype.h>
00029 
00030 using namespace shogun;
00031 
00032 //#define USE_TMP_ARRAYCLASS
00033 //#define DYNPROG_DEBUG
00034 
00035 int32_t CDynProg::word_degree_default[4]={3,4,5,6} ;
00036 int32_t CDynProg::cum_num_words_default[5]={0,64,320,1344,5440} ;
00037 int32_t CDynProg::frame_plifs[3]={4,5,6};
00038 int32_t CDynProg::num_words_default[4]=   {64,256,1024,4096} ;
00039 int32_t CDynProg::mod_words_default[32] = {1,1,1,1,1,1,1,1,
00040                                     1,1,1,1,1,1,1,1,
00041                                     0,0,0,0,0,0,0,0,
00042                                     0,0,0,0,0,0,0,0} ;  
00043 bool CDynProg::sign_words_default[16] = {true,true,true,true,true,true,true,true,
00044                                       false,false,false,false,false,false,false,false} ; // whether to use counts or signum of counts
00045 int32_t CDynProg::string_words_default[16] = {0,0,0,0,0,0,0,0,
00046                                        1,1,1,1,1,1,1,1} ; // which string should be used
00047 
00048 CDynProg::CDynProg(int32_t num_svms /*= 8 */)
00049 : CSGObject(), m_transition_matrix_a_id(1,1), m_transition_matrix_a(1,1),
00050     m_transition_matrix_a_deriv(1,1), m_initial_state_distribution_p(1),
00051     m_initial_state_distribution_p_deriv(1), m_end_state_distribution_q(1),
00052     m_end_state_distribution_q_deriv(1),
00053 
00054       // multi svm
00055       m_num_degrees(4), 
00056       m_num_svms(num_svms), 
00057       m_word_degree(word_degree_default, m_num_degrees, true, true),
00058       m_cum_num_words(cum_num_words_default, m_num_degrees+1, true, true),
00059       m_cum_num_words_array(m_cum_num_words.get_array()),
00060       m_num_words(num_words_default, m_num_degrees, true, true),
00061       m_num_words_array(m_num_words.get_array()),
00062       m_mod_words(mod_words_default, m_num_svms, 2, true, true),
00063       m_mod_words_array(m_mod_words.get_array()),
00064       m_sign_words(sign_words_default, m_num_svms, true, true),
00065       m_sign_words_array(m_sign_words.get_array()),
00066       m_string_words(string_words_default, m_num_svms, true, true),
00067       m_string_words_array(m_string_words.get_array()),
00068       //m_svm_pos_start(m_num_degrees),
00069       m_num_unique_words(m_num_degrees),
00070       m_svm_arrays_clean(true),
00071 
00072       m_max_a_id(0), m_observation_matrix(1,1,1), 
00073       m_pos(1), 
00074       m_seq_len(0),
00075       m_orf_info(1,2), 
00076       m_plif_list(1), 
00077       m_PEN(1,1),
00078       m_genestr(1), m_wordstr(NULL), m_dict_weights(1,1), m_segment_loss(1,1,2), 
00079       m_segment_ids(1),
00080       m_segment_mask(1),
00081       m_my_state_seq(1),
00082       m_my_pos_seq(1),
00083       m_my_scores(1),
00084       m_my_losses(1),
00085       m_scores(1),
00086       m_states(1,1),
00087       m_positions(1,1),
00088 
00089       m_seq_sparse1(NULL),
00090       m_seq_sparse2(NULL),
00091       m_plif_matrices(NULL),
00092       
00093       m_genestr_stop(1),
00094       m_intron_list(NULL),
00095       m_num_intron_plifs(0),
00096       m_lin_feat(1,1), //by Jonas
00097       m_raw_intensities(NULL),
00098       m_probe_pos(NULL),
00099       m_num_probes_cum(NULL),
00100       m_num_lin_feat_plifs_cum(NULL),
00101       m_num_raw_data(0),
00102       
00103       m_long_transitions(true),
00104       m_long_transition_threshold(1000)
00105 {
00106     trans_list_forward = NULL ;
00107     trans_list_forward_cnt = NULL ;
00108     trans_list_forward_val = NULL ;
00109     trans_list_forward_id = NULL ;
00110     trans_list_len = 0 ;
00111 
00112     mem_initialized = true ;
00113 
00114     m_N=1;
00115 
00116     m_raw_intensities = NULL;
00117     m_probe_pos = NULL;
00118     m_num_probes_cum = SG_MALLOC(int32_t, 100);
00119     m_num_probes_cum[0] = 0;
00120     //m_use_tiling=false;
00121     m_num_lin_feat_plifs_cum = SG_MALLOC(int32_t, 100);
00122     m_num_lin_feat_plifs_cum[0] = m_num_svms;
00123     m_num_raw_data = 0;
00124 #ifdef ARRAY_STATISTICS
00125     m_word_degree.set_array_name("word_degree");
00126 #endif
00127 
00128     m_transition_matrix_a_id.set_array_name("transition_matrix_a_id");
00129     m_transition_matrix_a.set_array_name("transition_matrix_a");
00130     m_transition_matrix_a_deriv.set_array_name("transition_matrix_a_deriv");
00131     m_mod_words.set_array_name("mod_words");
00132     m_orf_info.set_array_name("orf_info");
00133     m_segment_sum_weights.set_array_name("segment_sum_weights");
00134     m_PEN.set_array_name("PEN");
00135     m_PEN_state_signals.set_array_name("PEN_state_signals");
00136     m_dict_weights.set_array_name("dict_weights");
00137     m_states.set_array_name("states");
00138     m_positions.set_array_name("positions");
00139     m_lin_feat.set_array_name("lin_feat");
00140 
00141 
00142     m_observation_matrix.set_array_name("m_observation_matrix");
00143     m_segment_loss.set_array_name("m_segment_loss");
00144     m_seg_loss_obj = new CSegmentLoss();
00145 }
00146 
00147 CDynProg::~CDynProg()
00148 {
00149     if (trans_list_forward_cnt)
00150         SG_FREE(trans_list_forward_cnt);
00151     if (trans_list_forward)
00152     {
00153         for (int32_t i=0; i<trans_list_len; i++)
00154         {
00155             if (trans_list_forward[i])
00156                 SG_FREE(trans_list_forward[i]);
00157         }
00158         SG_FREE(trans_list_forward);
00159     }
00160     if (trans_list_forward_val)
00161     {
00162         for (int32_t i=0; i<trans_list_len; i++)
00163         {
00164             if (trans_list_forward_val[i])
00165                 SG_FREE(trans_list_forward_val[i]);
00166         }
00167         SG_FREE(trans_list_forward_val);
00168     }
00169     if (trans_list_forward_id)
00170     {
00171         for (int32_t i=0; i<trans_list_len; i++)
00172         {
00173             if (trans_list_forward_id[i])
00174                 SG_FREE(trans_list_forward_id[i]);
00175         }
00176         SG_FREE(trans_list_forward_id);
00177     }
00178     if (m_raw_intensities)
00179         SG_FREE(m_raw_intensities);
00180     if (m_probe_pos)
00181         SG_FREE(m_probe_pos);
00182     if (m_num_probes_cum)
00183       SG_FREE(m_num_probes_cum);
00184     if (m_num_lin_feat_plifs_cum)
00185       SG_FREE(m_num_lin_feat_plifs_cum);
00186 
00187     delete m_intron_list;
00188 
00189     SG_UNREF(m_seq_sparse1);
00190     SG_UNREF(m_seq_sparse2);
00191     SG_UNREF(m_plif_matrices);
00192 }
00193 
00195 int32_t CDynProg::get_num_svms()
00196 {
00197     return m_num_svms;
00198 }
00199 
00200 void CDynProg::precompute_stop_codons()
00201 {
00202     int32_t length=m_genestr.get_dim1();
00203 
00204     m_genestr_stop.resize_array(length) ;
00205     m_genestr_stop.zero() ;
00206     m_genestr_stop.set_array_name("genestr_stop") ;
00207     {
00208         for (int32_t i=0; i<length-2; i++)
00209             if ((m_genestr[i]=='t' || m_genestr[i]=='T') && 
00210                     (((m_genestr[i+1]=='a' || m_genestr[i+1]=='A') && 
00211                       (m_genestr[i+2]=='a' || m_genestr[i+2]=='g' || m_genestr[i+2]=='A' || m_genestr[i+2]=='G')) ||
00212                      ((m_genestr[i+1]=='g'||m_genestr[i+1]=='G') && (m_genestr[i+2]=='a' || m_genestr[i+2]=='A') )))
00213             {
00214                 m_genestr_stop.element(i)=true ;
00215             }
00216             else
00217                 m_genestr_stop.element(i)=false ;
00218         m_genestr_stop.element(length-2)=false ;
00219         m_genestr_stop.element(length-1)=false ;
00220     }
00221 }
00222 
00223 void CDynProg::set_num_states(int32_t p_N)
00224 {
00225     m_N=p_N ;
00226 
00227     m_transition_matrix_a_id.resize_array(m_N,m_N) ;
00228     m_transition_matrix_a.resize_array(m_N,m_N) ;
00229     m_transition_matrix_a_deriv.resize_array(m_N,m_N) ;
00230     m_initial_state_distribution_p.resize_array(m_N) ;
00231     m_initial_state_distribution_p_deriv.resize_array(m_N) ;
00232     m_end_state_distribution_q.resize_array(m_N);
00233     m_end_state_distribution_q_deriv.resize_array(m_N) ;
00234 
00235     m_orf_info.resize_array(m_N,2) ;
00236     m_PEN.resize_array(m_N,m_N) ;
00237 }
00238 
00239 int32_t CDynProg::get_num_states()
00240 {
00241     return m_N;
00242 }
00243 
00244 void CDynProg::init_tiling_data(
00245     int32_t* probe_pos, float64_t* intensities, const int32_t num_probes)
00246 {
00247     m_num_raw_data++;
00248     m_num_probes_cum[m_num_raw_data] = m_num_probes_cum[m_num_raw_data-1]+num_probes;
00249 
00250     int32_t* tmp_probe_pos = SG_MALLOC(int32_t, m_num_probes_cum[m_num_raw_data]);
00251     float64_t* tmp_raw_intensities = SG_MALLOC(float64_t, m_num_probes_cum[m_num_raw_data]);
00252 
00253 
00254     if (m_num_raw_data==1){
00255         memcpy(tmp_probe_pos, probe_pos, num_probes*sizeof(int32_t));
00256         memcpy(tmp_raw_intensities, intensities, num_probes*sizeof(float64_t));
00257         //SG_PRINT("raw_intens:%f \n",*tmp_raw_intensities+2);  
00258     }else{
00259         memcpy(tmp_probe_pos, m_probe_pos, m_num_probes_cum[m_num_raw_data-1]*sizeof(int32_t)); 
00260         memcpy(tmp_raw_intensities, m_raw_intensities, m_num_probes_cum[m_num_raw_data-1]*sizeof(float64_t));   
00261         memcpy(tmp_probe_pos+m_num_probes_cum[m_num_raw_data-1], probe_pos, num_probes*sizeof(int32_t));    
00262         memcpy(tmp_raw_intensities+m_num_probes_cum[m_num_raw_data-1], intensities, num_probes*sizeof(float64_t));  
00263     }
00264     SG_FREE(m_probe_pos);
00265     SG_FREE(m_raw_intensities);
00266     m_probe_pos = tmp_probe_pos; //SG_MALLOC(int32_t, num_probes);
00267     m_raw_intensities = tmp_raw_intensities;//SG_MALLOC(float64_t, num_probes);
00268 
00269     //memcpy(m_probe_pos, probe_pos, num_probes*sizeof(int32_t));
00270     //memcpy(m_raw_intensities, intensities, num_probes*sizeof(float64_t));
00271 
00272 }
00273 
00274 void CDynProg::init_content_svm_value_array(const int32_t p_num_svms)
00275 {
00276     m_lin_feat.resize_array(p_num_svms, m_seq_len);
00277 
00278     // initialize array
00279     for (int s=0; s<p_num_svms; s++)
00280       for (int p=0; p<m_seq_len; p++)
00281         m_lin_feat.set_element(0.0, s, p) ;
00282 }
00283 
00284 void CDynProg::resize_lin_feat(const int32_t num_new_feat)
00285 {
00286     int32_t dim1, dim2;
00287     m_lin_feat.get_array_size(dim1, dim2);
00288     ASSERT(dim1==m_num_lin_feat_plifs_cum[m_num_raw_data-1]);
00289     ASSERT(dim2==m_seq_len); // == number of candidate positions
00290 
00291 
00292 
00293     float64_t* arr = m_lin_feat.get_array();
00294     float64_t* tmp = SG_MALLOC(float64_t, (dim1+num_new_feat)*dim2);    
00295     memset(tmp, 0, (dim1+num_new_feat)*dim2*sizeof(float64_t)) ;
00296     for(int32_t j=0;j<m_seq_len;j++)
00297                 for(int32_t k=0;k<m_num_lin_feat_plifs_cum[m_num_raw_data-1];k++)
00298             tmp[j*(dim1+num_new_feat)+k] = arr[j*dim1+k];
00299 
00300     m_lin_feat.set_array(tmp, dim1+num_new_feat,dim2, true, true);// copy array and free it later 
00301     SG_FREE(tmp);
00302 
00303     /*for(int32_t j=0;j<5;j++)
00304     {
00305         for(int32_t k=0;k<m_num_lin_feat_plifs_cum[m_num_raw_data];k++)
00306         {
00307             SG_PRINT("(%i,%i)%f ",k,j,m_lin_feat.get_element(k,j));
00308         }
00309         SG_PRINT("\n");
00310     }
00311     m_lin_feat.get_array_size(dim1,dim2);
00312     SG_PRINT("resize_lin_feat: dim1:%i, dim2:%i\n",dim1,dim2);*/
00313 
00314     //SG_PRINT("resize_lin_feat: done\n");
00315 }
00316 
00317 void CDynProg::precompute_tiling_plifs(
00318     CPlif** PEN, const int32_t* tiling_plif_ids, const int32_t num_tiling_plifs)
00319 {
00320     m_num_lin_feat_plifs_cum[m_num_raw_data] = m_num_lin_feat_plifs_cum[m_num_raw_data-1]+ num_tiling_plifs;
00321     float64_t* tiling_plif = SG_MALLOC(float64_t, num_tiling_plifs);
00322     float64_t* svm_value = SG_MALLOC(float64_t, m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs);
00323     for (int32_t i=0; i<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; i++)
00324         svm_value[i]=0.0;
00325     int32_t* tiling_rows = SG_MALLOC(int32_t, num_tiling_plifs);
00326     for (int32_t i=0; i<num_tiling_plifs; i++)
00327     {
00328         tiling_plif[i]=0.0;
00329         CPlif * plif = PEN[tiling_plif_ids[i]];
00330         tiling_rows[i] = plif->get_use_svm();
00331 
00332         ASSERT(tiling_rows[i]-1==m_num_lin_feat_plifs_cum[m_num_raw_data-1]+i)
00333     }
00334     resize_lin_feat(num_tiling_plifs);
00335 
00336 
00337     int32_t* p_tiling_pos  = &m_probe_pos[m_num_probes_cum[m_num_raw_data-1]];
00338     float64_t* p_tiling_data = &m_raw_intensities[m_num_probes_cum[m_num_raw_data-1]];
00339     int32_t num=m_num_probes_cum[m_num_raw_data-1];
00340 
00341     for (int32_t pos_idx=0;pos_idx<m_seq_len;pos_idx++)
00342     {
00343         while (num<m_num_probes_cum[m_num_raw_data]&&*p_tiling_pos<m_pos[pos_idx])
00344         {
00345             for (int32_t i=0; i<num_tiling_plifs; i++)
00346             {
00347                 svm_value[m_num_lin_feat_plifs_cum[m_num_raw_data-1]+i]=*p_tiling_data;
00348                 CPlif * plif = PEN[tiling_plif_ids[i]];
00349                 ASSERT(m_num_lin_feat_plifs_cum[m_num_raw_data-1]+i==plif->get_use_svm()-1);
00350                 plif->set_do_calc(true);
00351                 tiling_plif[i]+=plif->lookup_penalty(0,svm_value);
00352                 plif->set_do_calc(false);
00353             }
00354             p_tiling_data++;
00355             p_tiling_pos++;
00356             num++;
00357         }
00358         for (int32_t i=0; i<num_tiling_plifs; i++)
00359             m_lin_feat.set_element(tiling_plif[i],tiling_rows[i]-1,pos_idx);
00360     }
00361     SG_FREE(svm_value);
00362     SG_FREE(tiling_plif);
00363     SG_FREE(tiling_rows);
00364 }
00365 
00366 void CDynProg::create_word_string()
00367 {
00368     SG_FREE(m_wordstr);
00369     m_wordstr=SG_MALLOC(uint16_t**, 5440);
00370     int32_t k=0;
00371     int32_t genestr_len=m_genestr.get_dim1();
00372 
00373     m_wordstr[k]=SG_MALLOC(uint16_t*, m_num_degrees);
00374     for (int32_t j=0; j<m_num_degrees; j++)
00375     {
00376         m_wordstr[k][j]=NULL ;
00377         {
00378             m_wordstr[k][j]=SG_MALLOC(uint16_t, genestr_len);
00379             for (int32_t i=0; i<genestr_len; i++)
00380                 switch (m_genestr[i])
00381                 {
00382                     case 'A':
00383                     case 'a': m_wordstr[k][j][i]=0 ; break ;
00384                     case 'C':
00385                     case 'c': m_wordstr[k][j][i]=1 ; break ;
00386                     case 'G':
00387                     case 'g': m_wordstr[k][j][i]=2 ; break ;
00388                     case 'T':
00389                     case 't': m_wordstr[k][j][i]=3 ; break ;
00390                     default: ASSERT(0) ;
00391                 }
00392             CAlphabet::translate_from_single_order(m_wordstr[k][j], genestr_len, m_word_degree[j]-1, m_word_degree[j], 2) ;
00393         }
00394     }
00395 }
00396 
00397 void CDynProg::precompute_content_values()
00398 {
00399     for (int32_t s=0; s<m_num_svms; s++)
00400       m_lin_feat.set_element(0.0, s, 0);
00401 
00402     for (int32_t p=0 ; p<m_seq_len-1 ; p++)
00403     {
00404         int32_t from_pos = m_pos[p];
00405         int32_t to_pos = m_pos[p+1];
00406         float64_t* my_svm_values_unnormalized = SG_MALLOC(float64_t, m_num_svms);
00407         //SG_PRINT("%i(%i->%i) ",p,from_pos, to_pos);
00408         
00409         ASSERT(from_pos<=m_genestr.get_dim1());
00410         ASSERT(to_pos<=m_genestr.get_dim1());
00411         
00412         for (int32_t s=0; s<m_num_svms; s++)
00413             my_svm_values_unnormalized[s]=0.0;//precomputed_svm_values.element(s,p);
00414 
00415         for (int32_t i=from_pos; i<to_pos; i++)
00416         {
00417             for (int32_t j=0; j<m_num_degrees; j++)
00418             {
00419                 uint16_t word = m_wordstr[0][j][i] ;
00420                 for (int32_t s=0; s<m_num_svms; s++)
00421                 {
00422                     // check if this k-mer should be considered for this SVM
00423                     if (m_mod_words.get_element(s,0)==3 && i%3!=m_mod_words.get_element(s,1))
00424                         continue;
00425                     my_svm_values_unnormalized[s] += m_dict_weights[(word+m_cum_num_words_array[j])+s*m_cum_num_words_array[m_num_degrees]] ;
00426                 }
00427             }
00428         }
00429         for (int32_t s=0; s<m_num_svms; s++)
00430         {
00431             float64_t prev = m_lin_feat.get_element(s, p);
00432             //SG_PRINT("elem (%i, %i, %f)\n", s, p, prev) ;
00433             if (prev<-1e20 || prev>1e20)
00434             {
00435                 SG_ERROR("initialization missing (%i, %i, %f)\n", s, p, prev) ;
00436                 prev=0 ;
00437             }
00438             m_lin_feat.set_element(prev + my_svm_values_unnormalized[s], s, p+1);
00439         }
00440         SG_FREE(my_svm_values_unnormalized);
00441     }
00442     //for (int32_t j=0; j<m_num_degrees; j++)
00443     //  SG_FREE(m_wordstr[0][j]);
00444     //SG_FREE(m_wordstr[0]);
00445 }
00446 
00447 void CDynProg::set_p_vector(SGVector<float64_t> p)
00448 {
00449     if (!(p.vlen==m_N))
00450         SG_ERROR("length of start prob vector p (%i) is not equal to the number of states (%i), N: %i\n",p.vlen, m_N);
00451 
00452     m_initial_state_distribution_p.set_array(p.vector, p.vlen, true, true);
00453 }
00454 
00455 void CDynProg::set_q_vector(SGVector<float64_t> q)
00456 {
00457     if (!(q.vlen==m_N))
00458         SG_ERROR("length of end prob vector q (%i) is not equal to the number of states (%i), N: %i\n",q.vlen, m_N);
00459     m_end_state_distribution_q.set_array(q.vector, q.vlen, true, true);
00460 }
00461 
00462 void CDynProg::set_a(SGMatrix<float64_t> a)
00463 {
00464     ASSERT(a.num_cols==m_N);
00465     ASSERT(a.num_rows==m_N);
00466     m_transition_matrix_a.set_array(a.matrix, m_N, m_N, true, true);
00467     m_transition_matrix_a_deriv.resize_array(m_N, m_N);
00468 }
00469 
00470 void CDynProg::set_a_id(SGMatrix<int32_t> a)
00471 {
00472     ASSERT(a.num_cols==m_N);
00473     ASSERT(a.num_rows==m_N);
00474     m_transition_matrix_a_id.set_array(a.matrix, m_N, m_N, true, true);
00475     m_max_a_id = 0;
00476     for (int32_t i=0; i<m_N; i++)
00477     {
00478         for (int32_t j=0; j<m_N; j++)
00479             m_max_a_id=CMath::max(m_max_a_id, m_transition_matrix_a_id.element(i,j));
00480     }
00481 }
00482 
00483 void CDynProg::set_a_trans_matrix(SGMatrix<float64_t> a_trans)
00484 {
00485     int32_t num_trans=a_trans.num_rows;
00486     int32_t num_cols=a_trans.num_cols;
00487 
00488     //CMath::display_matrix(a_trans.matrix,num_trans, num_cols,"a_trans");
00489 
00490     if (!((num_cols==3) || (num_cols==4)))
00491         SG_ERROR("!((num_cols==3) || (num_cols==4)), num_cols: %i\n",num_cols);
00492 
00493     SG_FREE(trans_list_forward);
00494     SG_FREE(trans_list_forward_cnt);
00495     SG_FREE(trans_list_forward_val);
00496     SG_FREE(trans_list_forward_id);
00497 
00498     trans_list_forward = NULL ;
00499     trans_list_forward_cnt = NULL ;
00500     trans_list_forward_val = NULL ;
00501     trans_list_len = 0 ;
00502 
00503     m_transition_matrix_a.zero() ;
00504     m_transition_matrix_a_id.zero() ;
00505 
00506     mem_initialized = true ;
00507 
00508     trans_list_forward_cnt=NULL ;
00509     trans_list_len = m_N ;
00510     trans_list_forward = SG_MALLOC(T_STATES*, m_N);
00511     trans_list_forward_cnt = SG_MALLOC(T_STATES, m_N);
00512     trans_list_forward_val = SG_MALLOC(float64_t*, m_N);
00513     trans_list_forward_id = SG_MALLOC(int32_t*, m_N);
00514     
00515     int32_t start_idx=0;
00516     for (int32_t j=0; j<m_N; j++)
00517     {
00518         int32_t old_start_idx=start_idx;
00519 
00520         while (start_idx<num_trans && a_trans.matrix[start_idx+num_trans]==j)
00521         {
00522             start_idx++;
00523             
00524             if (start_idx>1 && start_idx<num_trans)
00525                 ASSERT(a_trans.matrix[start_idx+num_trans-1] <= a_trans.matrix[start_idx+num_trans]);
00526         }
00527         
00528         if (start_idx>1 && start_idx<num_trans)
00529             ASSERT(a_trans.matrix[start_idx+num_trans-1] <= a_trans.matrix[start_idx+num_trans]);
00530         
00531         int32_t len=start_idx-old_start_idx;
00532         ASSERT(len>=0);
00533         
00534         trans_list_forward_cnt[j] = 0 ;
00535         
00536         if (len>0)
00537         {
00538             trans_list_forward[j]     = SG_MALLOC(T_STATES, len);
00539             trans_list_forward_val[j] = SG_MALLOC(float64_t, len);
00540             trans_list_forward_id[j] = SG_MALLOC(int32_t, len);
00541         }
00542         else
00543         {
00544             trans_list_forward[j]     = NULL;
00545             trans_list_forward_val[j] = NULL;
00546             trans_list_forward_id[j]  = NULL;
00547         }
00548     }
00549     
00550     for (int32_t i=0; i<num_trans; i++)
00551     {
00552         int32_t from_state   = (int32_t)a_trans.matrix[i] ;
00553         int32_t to_state = (int32_t)a_trans.matrix[i+num_trans] ;
00554         float64_t val = a_trans.matrix[i+num_trans*2] ;
00555         int32_t id = 0 ;
00556         if (num_cols==4)
00557             id = (int32_t)a_trans.matrix[i+num_trans*3] ;
00558         //SG_DEBUG( "id=%i\n", id) ;
00559             
00560         ASSERT(to_state>=0 && to_state<m_N);
00561         ASSERT(from_state>=0 && from_state<m_N);
00562         
00563         trans_list_forward[to_state][trans_list_forward_cnt[to_state]]=from_state ;
00564         trans_list_forward_val[to_state][trans_list_forward_cnt[to_state]]=val ;
00565         trans_list_forward_id[to_state][trans_list_forward_cnt[to_state]]=id ;
00566         trans_list_forward_cnt[to_state]++ ;
00567         m_transition_matrix_a.element(from_state, to_state) = val ;
00568         m_transition_matrix_a_id.element(from_state, to_state) = id ;
00569         //SG_PRINT("from_state:%i to_state:%i trans_matrix_a_id:%i \n",from_state, to_state,m_transition_matrix_a_id.element(from_state, to_state));
00570     } ;
00571 
00572     m_max_a_id = 0 ;
00573     for (int32_t i=0; i<m_N; i++)
00574         for (int32_t j=0; j<m_N; j++)
00575         {
00576             //if (m_transition_matrix_a_id.element(i,j))
00577             //SG_DEBUG( "(%i,%i)=%i\n", i,j, m_transition_matrix_a_id.element(i,j)) ;
00578             m_max_a_id = CMath::max(m_max_a_id, m_transition_matrix_a_id.element(i,j)) ;
00579         }
00580     //SG_DEBUG( "m_max_a_id=%i\n", m_max_a_id) ;
00581 }
00582 
00583 
00584 void CDynProg::init_mod_words_array(SGMatrix<int32_t> mod_words_input)
00585 {
00586     //for (int32_t i=0; i<mod_words_input.num_cols; i++)
00587     //{
00588     //  for (int32_t j=0; j<mod_words_input.num_rows; j++)
00589     //      SG_PRINT("%i ",mod_words_input[i*mod_words_input.num_rows+j]);
00590     //  SG_PRINT("\n");
00591     //}
00592     m_svm_arrays_clean=false ;
00593 
00594     ASSERT(m_num_svms==mod_words_input.num_rows);
00595     ASSERT(mod_words_input.num_cols==2);
00596 
00597     m_mod_words.set_array(mod_words_input.matrix, mod_words_input.num_rows, 2, true, true) ;
00598     m_mod_words_array = m_mod_words.get_array() ;
00599     
00600     /*SG_DEBUG( "m_mod_words=[") ;
00601     for (int32_t i=0; i<mod_words_input.num_rows; i++)
00602         SG_DEBUG( "%i, ", p_mod_words_array[i]) ;
00603         SG_DEBUG( "]\n") ;*/
00604 } 
00605 
00606 bool CDynProg::check_svm_arrays()
00607 {
00608     //SG_DEBUG( "wd_dim1=%d, m_cum_num_words=%d, m_num_words=%d, m_svm_pos_start=%d, num_uniq_w=%d, mod_words_dims=(%d,%d), sign_w=%d,string_w=%d\n m_num_degrees=%d, m_num_svms=%d, m_num_strings=%d", m_word_degree.get_dim1(), m_cum_num_words.get_dim1(), m_num_words.get_dim1(), m_svm_pos_start.get_dim1(), m_num_unique_words.get_dim1(), m_mod_words.get_dim1(), m_mod_words.get_dim2(), m_sign_words.get_dim1(), m_string_words.get_dim1(), m_num_degrees, m_num_svms, m_num_strings);
00609     if ((m_word_degree.get_dim1()==m_num_degrees) &&
00610             (m_cum_num_words.get_dim1()==m_num_degrees+1) &&
00611             (m_num_words.get_dim1()==m_num_degrees) &&
00612             //(word_used.get_dim1()==m_num_degrees) &&
00613             //(word_used.get_dim2()==m_num_words[m_num_degrees-1]) &&
00614             //(word_used.get_dim3()==m_num_strings) &&
00615             //      (svm_values_unnormalized.get_dim1()==m_num_degrees) &&
00616             //      (svm_values_unnormalized.get_dim2()==m_num_svms) &&
00617             //(m_svm_pos_start.get_dim1()==m_num_degrees) &&
00618             (m_num_unique_words.get_dim1()==m_num_degrees) &&
00619             (m_mod_words.get_dim1()==m_num_svms) &&
00620             (m_mod_words.get_dim2()==2) && 
00621             (m_sign_words.get_dim1()==m_num_svms) &&
00622             (m_string_words.get_dim1()==m_num_svms))
00623     {
00624         m_svm_arrays_clean=true ;
00625         return true ;
00626     }
00627     else
00628     {
00629         if ((m_num_unique_words.get_dim1()==m_num_degrees) &&
00630             (m_mod_words.get_dim1()==m_num_svms) &&
00631             (m_mod_words.get_dim2()==2) &&
00632             (m_sign_words.get_dim1()==m_num_svms) &&
00633             (m_string_words.get_dim1()==m_num_svms))
00634             SG_PRINT("OK\n") ;
00635         else
00636             SG_PRINT("not OK\n") ;
00637 
00638         if (!(m_word_degree.get_dim1()==m_num_degrees))
00639             SG_WARNING("SVM array: word_degree.get_dim1()!=m_num_degrees") ;
00640         if (!(m_cum_num_words.get_dim1()==m_num_degrees+1))
00641             SG_WARNING("SVM array: m_cum_num_words.get_dim1()!=m_num_degrees+1") ;
00642         if (!(m_num_words.get_dim1()==m_num_degrees))
00643             SG_WARNING("SVM array: m_num_words.get_dim1()==m_num_degrees") ;
00644         //if (!(m_svm_pos_start.get_dim1()==m_num_degrees))
00645         //  SG_WARNING("SVM array: m_svm_pos_start.get_dim1()!=m_num_degrees") ;
00646         if (!(m_num_unique_words.get_dim1()==m_num_degrees))
00647             SG_WARNING("SVM array: m_num_unique_words.get_dim1()!=m_num_degrees") ;
00648         if (!(m_mod_words.get_dim1()==m_num_svms))
00649             SG_WARNING("SVM array: m_mod_words.get_dim1()!=num_svms") ;
00650         if (!(m_mod_words.get_dim2()==2))
00651             SG_WARNING("SVM array: m_mod_words.get_dim2()!=2") ;
00652         if (!(m_sign_words.get_dim1()==m_num_svms))
00653             SG_WARNING("SVM array: m_sign_words.get_dim1()!=num_svms") ;
00654         if (!(m_string_words.get_dim1()==m_num_svms))
00655             SG_WARNING("SVM array: m_string_words.get_dim1()!=num_svms") ;
00656 
00657         m_svm_arrays_clean=false ;
00658         return false ;  
00659     }
00660 }
00661 
00662 void CDynProg::set_observation_matrix(SGNDArray<float64_t> seq)
00663 {
00664     if (seq.num_dims!=3)
00665         SG_ERROR("Expected 3-dimensional Matrix\n");
00666 
00667     int32_t N=seq.dims[0];
00668     int32_t cand_pos=seq.dims[1];
00669     int32_t max_num_features=seq.dims[2];
00670 
00671     if (!m_svm_arrays_clean)
00672     {
00673         SG_ERROR( "SVM arrays not clean") ;
00674         return ;
00675     } ;
00676 
00677     ASSERT(N==m_N);
00678     ASSERT(cand_pos==m_seq_len);
00679     ASSERT(m_initial_state_distribution_p.get_dim1()==N);
00680     ASSERT(m_end_state_distribution_q.get_dim1()==N);
00681     
00682     m_observation_matrix.set_array(seq.array, N, m_seq_len, max_num_features, true, true) ;
00683 }
00684 int32_t CDynProg::get_num_positions()
00685 {
00686     return m_seq_len;
00687 }
00688 
00689 void CDynProg::set_content_type_array(SGMatrix<float64_t> seg_path)
00690 {
00691     ASSERT(seg_path.num_rows==2);
00692     ASSERT(seg_path.num_cols==m_seq_len);
00693 
00694     if (seg_path.matrix!=NULL)
00695     {
00696         int32_t *segment_ids = SG_MALLOC(int32_t, m_seq_len);
00697         float64_t *segment_mask = SG_MALLOC(float64_t, m_seq_len);
00698         for (int32_t i=0; i<m_seq_len; i++)
00699         {
00700                 segment_ids[i] = (int32_t)seg_path.matrix[2*i] ;
00701                 segment_mask[i] = seg_path.matrix[2*i+1] ;
00702         }
00703         best_path_set_segment_ids_mask(segment_ids, segment_mask, m_seq_len) ;
00704         SG_FREE(segment_ids);
00705         SG_FREE(segment_mask);
00706     }
00707     else
00708     {
00709         int32_t *izeros = SG_MALLOC(int32_t, m_seq_len);
00710         float64_t *dzeros = SG_MALLOC(float64_t, m_seq_len);
00711         for (int32_t i=0; i<m_seq_len; i++)
00712         {
00713             izeros[i]=0 ;
00714             dzeros[i]=0.0 ;
00715         }
00716         best_path_set_segment_ids_mask(izeros, dzeros, m_seq_len) ;
00717         SG_FREE(izeros);
00718         SG_FREE(dzeros);
00719     }
00720 }
00721 
00722 void CDynProg::set_pos(SGVector<int32_t> pos)
00723 {
00724     m_pos.set_array(pos.vector, pos.vlen, true, true) ;
00725     m_seq_len = pos.vlen;
00726 }
00727 
00728 void CDynProg::set_orf_info(SGMatrix<int32_t> orf_info)
00729 {
00730     if (orf_info.num_cols!=2)
00731         SG_ERROR( "orf_info size incorrect %i!=2\n", orf_info.num_cols) ;
00732 
00733     m_orf_info.set_array(orf_info.matrix, orf_info.num_rows, orf_info.num_cols, true, true) ;
00734     m_orf_info.set_array_name("orf_info") ;
00735 }
00736 
00737 void CDynProg::set_sparse_features(CSparseFeatures<float64_t>* seq_sparse1, CSparseFeatures<float64_t>* seq_sparse2)
00738 {
00739     if ((!seq_sparse1 && seq_sparse2) || (seq_sparse1 && !seq_sparse2))
00740         SG_ERROR("Sparse features must either both be NULL or both NON-NULL\n");
00741 
00742     SG_UNREF(m_seq_sparse1);
00743     SG_UNREF(m_seq_sparse2);
00744 
00745     m_seq_sparse1=seq_sparse1;
00746     m_seq_sparse2=seq_sparse2;
00747     SG_REF(m_seq_sparse1);
00748     SG_REF(m_seq_sparse2);
00749 }
00750 
00751 void CDynProg::set_plif_matrices(CPlifMatrix* pm)
00752 {
00753     SG_UNREF(m_plif_matrices);
00754 
00755     m_plif_matrices=pm;
00756 
00757     SG_REF(m_plif_matrices);
00758 }
00759 
00760 void CDynProg::set_gene_string(SGVector<char> genestr)
00761 {
00762     ASSERT(genestr.vector);
00763     ASSERT(genestr.vlen>0);
00764 
00765     m_genestr.set_array(genestr.vector, genestr.vlen, true, true) ;
00766 }
00767 
00768 void CDynProg::set_my_state_seq(int32_t* my_state_seq)
00769 {
00770     ASSERT(my_state_seq && m_seq_len>0);
00771     m_my_state_seq.resize_array(m_seq_len);
00772     for (int32_t i=0; i<m_seq_len; i++)
00773         m_my_state_seq[i]=my_state_seq[i];
00774 }
00775 
00776 void CDynProg::set_my_pos_seq(int32_t* my_pos_seq)
00777 {
00778     ASSERT(my_pos_seq && m_seq_len>0);
00779     m_my_pos_seq.resize_array(m_seq_len);
00780     for (int32_t i=0; i<m_seq_len; i++)
00781         m_my_pos_seq[i]=my_pos_seq[i];
00782 }
00783 
00784 void CDynProg::set_dict_weights(SGMatrix<float64_t> dictionary_weights)
00785 {
00786     if (m_num_svms!=dictionary_weights.num_cols)
00787     {
00788         SG_ERROR( "m_dict_weights array does not match num_svms=%i!=%i\n",
00789                 m_num_svms, dictionary_weights.num_cols) ;
00790     }
00791 
00792     m_dict_weights.set_array(dictionary_weights.matrix, dictionary_weights.num_rows, m_num_svms, true, true) ;
00793 
00794     // initialize, so it does not bother when not used
00795     m_segment_loss.resize_array(m_max_a_id+1, m_max_a_id+1, 2) ;
00796     m_segment_loss.zero() ;
00797     m_segment_ids.resize_array(m_observation_matrix.get_dim2()) ;
00798     m_segment_mask.resize_array(m_observation_matrix.get_dim2()) ;
00799     m_segment_ids.zero() ;
00800     m_segment_mask.zero() ;
00801 }
00802 
00803 void CDynProg::best_path_set_segment_loss(SGMatrix<float64_t> segment_loss)
00804 {
00805     int32_t m=segment_loss.num_rows;
00806     int32_t n=segment_loss.num_cols;
00807     // here we need two matrices. Store it in one: 2N x N
00808     if (2*m!=n)
00809         SG_ERROR( "segment_loss should be 2 x quadratic matrix: %i!=%i\n", 2*m, n) ;
00810 
00811     if (m!=m_max_a_id+1)
00812         SG_ERROR( "segment_loss size should match m_max_a_id: %i!=%i\n", m, m_max_a_id+1) ;
00813 
00814     m_segment_loss.set_array(segment_loss.matrix, m, n/2, 2, true, true) ;
00815     /*for (int32_t i=0; i<n; i++)
00816         for (int32_t j=0; j<n; j++)
00817         SG_DEBUG( "loss(%i,%i)=%f\n", i,j, m_segment_loss.element(0,i,j)) ;*/
00818 }
00819 
00820 void CDynProg::best_path_set_segment_ids_mask(
00821     int32_t* segment_ids, float64_t* segment_mask, int32_t m)
00822 {
00823 
00824     if (m!=m_observation_matrix.get_dim2())
00825         SG_ERROR("size of segment_ids or segment_mask (%i)  does not match the size of the feature matrix (%i)", m, m_observation_matrix.get_dim2());
00826     int32_t max_id = 0;
00827     for (int32_t i=1;i<m;i++)
00828         max_id = CMath::max(max_id,segment_ids[i]);
00829     //SG_PRINT("max_id: %i, m:%i\n",max_id, m);     
00830     m_segment_ids.set_array(segment_ids, m, true, true) ;
00831     m_segment_ids.set_array_name("m_segment_ids");
00832     m_segment_mask.set_array(segment_mask, m, true, true) ;
00833     m_segment_mask.set_array_name("m_segment_mask");
00834     
00835     m_seg_loss_obj->set_segment_mask(&m_segment_mask);
00836     m_seg_loss_obj->set_segment_ids(&m_segment_ids);
00837     m_seg_loss_obj->compute_loss(m_pos.get_array(), m_seq_len);
00838 }
00839 
00840 SGVector<float64_t> CDynProg::get_scores()
00841 {
00842     SGVector<float64_t> scores(m_scores.get_dim1());
00843     memcpy(scores.vector,m_scores.get_array(), sizeof(float64_t)*(m_scores.get_dim1()));
00844 
00845     return scores;
00846 }
00847 
00848 SGMatrix<int32_t> CDynProg::get_states()
00849 {
00850     SGMatrix<int32_t> states(m_states.get_dim1(), m_states.get_dim2());
00851 
00852     int32_t sz = sizeof(int32_t)*( m_states.get_dim1() * m_states.get_dim2() );
00853     memcpy(states.matrix ,m_states.get_array(),sz);
00854 
00855     return states;
00856 }
00857 
00858 SGMatrix<int32_t> CDynProg::get_positions()
00859 {
00860    SGMatrix<int32_t> positions(m_positions.get_dim1(), m_positions.get_dim2());
00861 
00862    int32_t sz = sizeof(int32_t)*(m_positions.get_dim1()*m_positions.get_dim2());
00863    memcpy(positions.matrix, m_positions.get_array(),sz);
00864 
00865    return positions;
00866 }
00867 
00868 void CDynProg::get_path_scores(float64_t** scores, int32_t* seq_len)
00869 {
00870    ASSERT(scores && seq_len);
00871 
00872    *seq_len=m_my_scores.get_dim1();
00873 
00874    int32_t sz = sizeof(float64_t)*(*seq_len);
00875 
00876    *scores = SG_MALLOC(float64_t, *seq_len);
00877    ASSERT(*scores);
00878 
00879    memcpy(*scores,m_my_scores.get_array(),sz);
00880 }
00881 
00882 void CDynProg::get_path_losses(float64_t** losses, int32_t* seq_len)
00883 {
00884     ASSERT(losses && seq_len);
00885 
00886     *seq_len=m_my_losses.get_dim1();
00887 
00888    int32_t sz = sizeof(float64_t)*(*seq_len);
00889 
00890    *losses = SG_MALLOC(float64_t, *seq_len);
00891    ASSERT(*losses);
00892 
00893    memcpy(*losses,m_my_losses.get_array(),sz);
00894 }
00895 
00897 
00898 bool CDynProg::extend_orf(
00899     int32_t orf_from, int32_t orf_to, int32_t start, int32_t &last_pos,
00900     int32_t to)
00901 {
00902 #ifdef DYNPROG_TIMING_DETAIL
00903     MyTime.start() ;
00904 #endif
00905     
00906     if (start<0) 
00907         start=0 ;
00908     if (to<0)
00909         to=0 ;
00910     
00911     int32_t orf_target = orf_to-orf_from ;
00912     if (orf_target<0) orf_target+=3 ;
00913     
00914     int32_t pos ;
00915     if (last_pos==to)
00916         pos = to-orf_to-3 ;
00917     else
00918         pos=last_pos ;
00919 
00920     if (pos<0)
00921     {
00922 #ifdef DYNPROG_TIMING_DETAIL
00923         MyTime.stop() ;
00924         orf_time += MyTime.time_diff_sec() ;
00925 #endif
00926         return true ;
00927     }
00928     
00929     for (; pos>=start; pos-=3)
00930         if (m_genestr_stop[pos])
00931         {
00932 #ifdef DYNPROG_TIMING_DETAIL
00933             MyTime.stop() ;
00934             orf_time += MyTime.time_diff_sec() ;
00935 #endif
00936             return false ;
00937         }
00938     
00939     
00940     last_pos = CMath::min(pos+3,to-orf_to-3) ;
00941 
00942 #ifdef DYNPROG_TIMING_DETAIL
00943     MyTime.stop() ;
00944     orf_time += MyTime.time_diff_sec() ;
00945 #endif
00946     return true ;
00947 }
00948 
00949 void CDynProg::compute_nbest_paths(int32_t max_num_signals, bool use_orf,
00950         int16_t nbest, bool with_loss, bool with_multiple_sequences)
00951     {
00952 
00953     //FIXME we need checks here if all the fields are of right size
00954     //SG_PRINT("m_seq_len: %i\n", m_seq_len);
00955     //SG_PRINT("m_pos[0]: %i\n", m_pos[0]);
00956     //SG_PRINT("\n");
00957 
00958     //FIXME these variables can go away when compute_nbest_paths uses them
00959     //instead of the local pointers below
00960     const float64_t* seq_array = m_observation_matrix.get_array();
00961     m_scores.resize_array(nbest) ;
00962     m_states.resize_array(nbest, m_observation_matrix.get_dim2()) ;
00963     m_positions.resize_array(nbest, m_observation_matrix.get_dim2()) ;
00964 
00965     for (int32_t i=0; i<nbest; i++)
00966     {
00967         m_scores[i]=-1;
00968         for (int32_t j=0; j<m_observation_matrix.get_dim2(); j++)
00969         {
00970             m_states.element(i,j)=-1;
00971             m_positions.element(i,j)=-1;
00972         }
00973     }
00974     float64_t* prob_nbest=m_scores.get_array();
00975     int32_t* my_state_seq=m_states.get_array();
00976     int32_t* my_pos_seq=m_positions.get_array();
00977 
00978     CPlifBase** Plif_matrix=m_plif_matrices->get_plif_matrix();
00979     CPlifBase** Plif_state_signals=m_plif_matrices->get_state_signals();
00980     //END FIXME
00981 
00982 
00983 #ifdef DYNPROG_TIMING
00984         segment_init_time = 0.0 ;
00985         segment_pos_time = 0.0 ;
00986         segment_extend_time = 0.0 ;
00987         segment_clean_time = 0.0 ;
00988         orf_time = 0.0 ;
00989         svm_init_time = 0.0 ;
00990         svm_pos_time = 0.0 ;
00991         svm_clean_time = 0.0 ;
00992         inner_loop_time = 0.0 ;
00993         content_svm_values_time = 0.0 ;
00994         content_plifs_time = 0.0 ;
00995         inner_loop_max_time = 0.0 ;
00996         long_transition_time = 0.0 ;
00997 
00998         MyTime2.start() ;
00999 #endif
01000 
01001         if (!m_svm_arrays_clean)
01002         {
01003             SG_ERROR( "SVM arrays not clean") ;
01004             return ;
01005         }
01006 
01007 #ifdef DYNPROG_DEBUG
01008         m_transition_matrix_a.set_array_name("transition_matrix");
01009         m_transition_matrix_a.display_array();
01010         m_mod_words.display_array() ;
01011         m_sign_words.display_array() ;
01012         m_string_words.display_array() ;
01013         //SG_PRINT("use_orf = %i\n", use_orf) ;
01014 #endif
01015 
01016         int32_t max_look_back = 1000 ;
01017         bool use_svm = false ;
01018 
01019         SG_DEBUG("m_N:%i, m_seq_len:%i, max_num_signals:%i\n",m_N, m_seq_len, max_num_signals) ;
01020 
01021         //for (int32_t i=0;i<m_N*m_seq_len*max_num_signals;i++)
01022       //   SG_PRINT("(%i)%0.2f ",i,seq_array[i]);
01023 
01024         CArray2<CPlifBase*> PEN(Plif_matrix, m_N, m_N, false, false) ;
01025         PEN.set_array_name("PEN");
01026         CArray2<CPlifBase*> PEN_state_signals(Plif_state_signals, m_N, max_num_signals, false, false) ;
01027         PEN_state_signals.set_array_name("state_signals");
01028 
01029         CArray2<float64_t> seq(m_N, m_seq_len) ;
01030         seq.set_array_name("seq") ;
01031         seq.zero() ;
01032 
01033 #ifdef DYNPROG_DEBUG
01034         SG_PRINT("m_num_raw_data: %i\n",m_num_raw_data);
01035         SG_PRINT("m_num_intron_plifs: %i\n", m_num_intron_plifs);
01036         SG_PRINT("m_num_svms: %i\n", m_num_svms);
01037         SG_PRINT("m_num_lin_feat_plifs_cum: ");
01038         for (int i=0; i<=m_num_raw_data; i++)
01039             SG_PRINT(" %i  ",m_num_lin_feat_plifs_cum[i]);
01040         SG_PRINT("\n");
01041 #endif
01042 
01043         float64_t* svm_value = SG_MALLOC(float64_t , m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs);
01044         { // initialize svm_svalue
01045             for (int32_t s=0; s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; s++)
01046                 svm_value[s]=0 ;
01047         }
01048 
01049         { // convert seq_input to seq
01050             // this is independent of the svm values 
01051 
01052             //CArray3<float64_t> seq_input(seq_array, m_N, m_seq_len, max_num_signals) ;
01053             CArray3<float64_t> *seq_input=NULL ;
01054             if (seq_array!=NULL)
01055             {
01056                 //SG_PRINT("using dense seq_array\n") ;
01057 
01058                 seq_input=new CArray3<float64_t>(seq_array, m_N, m_seq_len, max_num_signals) ;
01059                 seq_input->set_array_name("seq_input") ;
01060                 //seq_input.display_array() ;
01061 
01062                 ASSERT(m_seq_sparse1==NULL) ;
01063                 ASSERT(m_seq_sparse2==NULL) ;
01064             } else
01065             {
01066                 SG_PRINT("using sparse seq_array\n") ;
01067 
01068                 ASSERT(m_seq_sparse1!=NULL) ;
01069                 ASSERT(m_seq_sparse2!=NULL) ;
01070                 ASSERT(max_num_signals==2) ;
01071             }
01072 
01073             for (int32_t i=0; i<m_N; i++)
01074                 for (int32_t j=0; j<m_seq_len; j++)
01075                     seq.element(i,j) = 0 ;
01076 
01077             for (int32_t i=0; i<m_N; i++)
01078                 for (int32_t j=0; j<m_seq_len; j++)
01079                     for (int32_t k=0; k<max_num_signals; k++)
01080                     {
01081                         if ((PEN_state_signals.element(i,k)==NULL) && (k==0))
01082                         {
01083                             // no plif
01084                             if (seq_input!=NULL)
01085                                 seq.element(i,j) = seq_input->element(i,j,k) ;
01086                             else
01087                             {
01088                                 if (k==0)
01089                                     seq.element(i,j) = m_seq_sparse1->get_feature(i,j) ;
01090                                 if (k==1)
01091                                     seq.element(i,j) = m_seq_sparse2->get_feature(i,j) ;
01092                             }
01093                             break ;
01094                         }
01095                         if (PEN_state_signals.element(i,k)!=NULL)
01096                         {
01097                             if (seq_input!=NULL)
01098                             {
01099                                 // just one plif
01100                                 if (CMath::is_finite(seq_input->element(i,j,k)))
01101                                     seq.element(i,j) += PEN_state_signals.element(i,k)->lookup_penalty(seq_input->element(i,j,k), svm_value) ;
01102                                 else
01103                                     // keep infinity values
01104                                     seq.element(i,j) = seq_input->element(i, j, k) ;
01105                             }
01106                             else
01107                             {
01108                                 if (k==0)
01109                                 {
01110                                     // just one plif
01111                                     if (CMath::is_finite(m_seq_sparse1->get_feature(i,j)))
01112                                         seq.element(i,j) += PEN_state_signals.element(i,k)->lookup_penalty(m_seq_sparse1->get_feature(i,j), svm_value) ;
01113                                     else
01114                                         // keep infinity values
01115                                         seq.element(i,j) = m_seq_sparse1->get_feature(i, j) ;
01116                                 }
01117                                 if (k==1)
01118                                 {
01119                                     // just one plif
01120                                     if (CMath::is_finite(m_seq_sparse2->get_feature(i,j)))
01121                                         seq.element(i,j) += PEN_state_signals.element(i,k)->lookup_penalty(m_seq_sparse2->get_feature(i,j), svm_value) ;
01122                                     else
01123                                         // keep infinity values
01124                                         seq.element(i,j) = m_seq_sparse2->get_feature(i, j) ;
01125                                 }
01126                             }
01127                         } 
01128                         else
01129                             break ;
01130                     }
01131             delete seq_input;
01132             SG_FREE(svm_value);
01133         }
01134 
01135         // allow longer transitions than look_back
01136         bool long_transitions = m_long_transitions ;
01137         CArray2<int32_t> long_transition_content_start_position(m_N,m_N) ;
01138         long_transition_content_start_position.set_array_name("long_transition_content_start_position");
01139 #ifdef DYNPROG_DEBUG
01140         CArray2<int32_t> long_transition_content_end_position(m_N,m_N) ;
01141         long_transition_content_end_position.set_array_name("long_transition_content_end_position");
01142 #endif
01143         CArray2<int32_t> long_transition_content_start(m_N,m_N) ;
01144         long_transition_content_start.set_array_name("long_transition_content_start");
01145         CArray2<float64_t> long_transition_content_scores(m_N,m_N) ;
01146         long_transition_content_scores.set_array_name("long_transition_content_scores");
01147 #ifdef DYNPROG_DEBUG
01148         CArray2<float64_t> long_transition_content_scores_pen(m_N,m_N) ;
01149         long_transition_content_scores_pen.set_array_name("long_transition_content_scores_pen");
01150         CArray2<float64_t> long_transition_content_scores_prev(m_N,m_N) ;
01151         long_transition_content_scores_prev.set_array_name("long_transition_content_scores_prev");
01152         CArray2<float64_t> long_transition_content_scores_elem(m_N,m_N) ;
01153         long_transition_content_scores_elem.set_array_name("long_transition_content_scores_elem");
01154 #endif      
01155         CArray2<float64_t> long_transition_content_scores_loss(m_N,m_N) ;
01156         long_transition_content_scores_loss.set_array_name("long_transition_content_scores_loss");
01157 
01158         if (nbest!=1)
01159         {
01160             SG_ERROR("Long transitions are not supported for nbest!=1") ;
01161             long_transitions = false ;
01162         }
01163         long_transition_content_scores.set_const(-CMath::INFTY);
01164 #ifdef DYNPROG_DEBUG
01165         long_transition_content_scores_pen.set_const(0) ;
01166         long_transition_content_scores_elem.set_const(0) ;
01167         long_transition_content_scores_prev.set_const(0) ;
01168 #endif
01169         if (with_loss)
01170             long_transition_content_scores_loss.set_const(0) ;
01171         long_transition_content_start.zero() ;
01172         long_transition_content_start_position.zero() ;
01173 #ifdef DYNPROG_DEBUG
01174         long_transition_content_end_position.zero() ;
01175 #endif
01176 
01177         svm_value = SG_MALLOC(float64_t , m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs);
01178         { // initialize svm_svalue
01179             for (int32_t s=0; s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; s++)
01180                 svm_value[s]=0 ;
01181         }
01182 
01183         CArray2<int32_t> look_back(m_N,m_N) ;
01184         look_back.set_array_name("look_back");
01185         //CArray2<int32_t> look_back_orig(m_N,m_N) ;
01186         //look_back.set_array_name("look_back_orig");
01187 
01188 
01189         { // determine maximal length of look-back
01190             for (int32_t i=0; i<m_N; i++)
01191                 for (int32_t j=0; j<m_N; j++)
01192                 {
01193                     look_back.set_element(INT_MAX, i, j) ;
01194                     //look_back_orig.set_element(INT_MAX, i, j) ;
01195                 }
01196 
01197             for (int32_t j=0; j<m_N; j++)
01198             {
01199                 // only consider transitions that are actually allowed
01200                 const T_STATES num_elem   = trans_list_forward_cnt[j] ;
01201                 const T_STATES *elem_list = trans_list_forward[j] ;
01202 
01203                 for (int32_t i=0; i<num_elem; i++)
01204                 {
01205                     T_STATES ii = elem_list[i] ;
01206 
01207                     CPlifBase *penij=PEN.element(j, ii) ;
01208                     if (penij==NULL)
01209                     {
01210                         if (long_transitions)
01211                         {
01212                             look_back.set_element(m_long_transition_threshold, j, ii) ;
01213                             //look_back_orig.set_element(m_long_transition_max, j, ii) ;
01214                         }
01215                         continue ;
01216                     }
01217 
01218                     /* if the transition is an ORF or we do computation with loss, we have to disable long transitions */
01219                     if ((m_orf_info.element(ii,0)!=-1) || (m_orf_info.element(j,1)!=-1) || (!long_transitions))
01220                     {
01221                         look_back.set_element(CMath::ceil(penij->get_max_value()), j, ii) ;
01222                         //look_back_orig.set_element(CMath::ceil(penij->get_max_value()), j, ii) ;
01223                         if (CMath::ceil(penij->get_max_value()) > max_look_back)
01224                         {
01225                             SG_DEBUG( "%d %d -> value: %f\n", ii,j,penij->get_max_value());
01226                             max_look_back = (int32_t) (CMath::ceil(penij->get_max_value()));
01227                         }
01228                     }
01229                     else
01230                     {
01231                         look_back.set_element(CMath::min( (int32_t)CMath::ceil(penij->get_max_value()), m_long_transition_threshold ), j, ii) ;
01232                         //look_back_orig.set_element( (int32_t)CMath::ceil(penij->get_max_value()), j, ii) ;
01233                     }
01234                     
01235                     if (penij->uses_svm_values())
01236                         use_svm=true ;
01237                 }
01238             }
01239             /* make sure max_look_back is at least as long as a long transition */
01240             if (long_transitions)
01241                 max_look_back = CMath::max(m_long_transition_threshold, max_look_back) ;
01242 
01243             /* make sure max_look_back is not longer than the whole string */
01244             max_look_back = CMath::min(m_genestr.get_dim1(), max_look_back) ;
01245 
01246             int32_t num_long_transitions = 0 ;
01247             for (int32_t i=0; i<m_N; i++)
01248                 for (int32_t j=0; j<m_N; j++)
01249                 {
01250                     if (look_back.get_element(i,j)==m_long_transition_threshold)
01251                         num_long_transitions++ ;
01252                     if (look_back.get_element(i,j)==INT_MAX)
01253                     {
01254                         if (long_transitions)
01255                         {
01256                             look_back.set_element(m_long_transition_threshold, i, j) ;
01257                             //look_back_orig.set_element(m_long_transition_max, i, j) ;
01258                         }
01259                         else
01260                         {
01261                             look_back.set_element(max_look_back, i, j) ;
01262                             //look_back_orig.set_element(m_long_transition_max, i, j) ;
01263                         }
01264                     }
01265                 }
01266             SG_DEBUG("Using %i long transitions\n", num_long_transitions) ;
01267         }
01268         //SG_PRINT("max_look_back: %i \n", max_look_back) ;
01269 
01270         //SG_PRINT("use_svm=%i, genestr_len: \n", use_svm, m_genestr.get_dim1()) ;
01271         SG_DEBUG("use_svm=%i\n", use_svm) ;
01272 
01273         SG_DEBUG("maxlook: %d m_N: %d nbest: %d \n", max_look_back, m_N, nbest);
01274         const int32_t look_back_buflen = (max_look_back*m_N+1)*nbest ;
01275         SG_DEBUG("look_back_buflen=%i\n", look_back_buflen) ;
01276         /*const float64_t mem_use = (float64_t)(m_seq_len*m_N*nbest*(sizeof(T_STATES)+sizeof(int16_t)+sizeof(int32_t))+
01277           look_back_buflen*(2*sizeof(float64_t)+sizeof(int32_t))+
01278           m_seq_len*(sizeof(T_STATES)+sizeof(int32_t))+
01279           m_genestr.get_dim1()*sizeof(bool))/(1024*1024);*/
01280 
01281         //bool is_big = (mem_use>200) || (m_seq_len>5000) ;
01282 
01283         /*if (is_big)
01284           {
01285           SG_DEBUG("calling compute_nbest_paths: m_seq_len=%i, m_N=%i, lookback=%i nbest=%i\n", 
01286           m_seq_len, m_N, max_look_back, nbest) ;
01287           SG_DEBUG("allocating %1.2fMB of memory\n", 
01288           mem_use) ;
01289           }*/
01290         ASSERT(nbest<32000) ;
01291 
01292 
01293 
01294         CArray3<float64_t> delta(m_seq_len, m_N, nbest) ;
01295         delta.set_array_name("delta");
01296         float64_t* delta_array = delta.get_array() ;
01297         //delta.zero() ;
01298 
01299         CArray3<T_STATES> psi(m_seq_len, m_N, nbest) ;
01300         psi.set_array_name("psi");
01301         //psi.zero() ;
01302 
01303         CArray3<int16_t> ktable(m_seq_len, m_N, nbest) ;
01304         ktable.set_array_name("ktable");
01305         //ktable.zero() ;
01306 
01307         CArray3<int32_t> ptable(m_seq_len, m_N, nbest) ;    
01308         ptable.set_array_name("ptable");
01309         //ptable.zero() ;
01310 
01311         CArray<float64_t> delta_end(nbest) ;
01312         delta_end.set_array_name("delta_end");
01313         //delta_end.zero() ;
01314 
01315         CArray<T_STATES> path_ends(nbest) ;
01316         path_ends.set_array_name("path_ends");
01317         //path_ends.zero() ;
01318 
01319         CArray<int16_t> ktable_end(nbest) ;
01320         ktable_end.set_array_name("ktable_end");
01321         //ktable_end.zero() ;
01322 
01323         float64_t * fixedtempvv=SG_MALLOC(float64_t, look_back_buflen);
01324         memset(fixedtempvv, 0, look_back_buflen*sizeof(float64_t)) ;
01325         int32_t * fixedtempii=SG_MALLOC(int32_t, look_back_buflen);
01326         memset(fixedtempii, 0, look_back_buflen*sizeof(int32_t)) ;
01327 
01328         CArray<float64_t> oldtempvv(look_back_buflen) ;
01329         oldtempvv.set_array_name("oldtempvv");
01330         CArray<float64_t> oldtempvv2(look_back_buflen) ;
01331         oldtempvv2.set_array_name("oldtempvv2");
01332         //oldtempvv.zero() ;
01333         //oldtempvv.display_size() ;
01334 
01335         CArray<int32_t> oldtempii(look_back_buflen) ;
01336         oldtempii.set_array_name("oldtempii");
01337         CArray<int32_t> oldtempii2(look_back_buflen) ;
01338         oldtempii2.set_array_name("oldtempii2");
01339         //oldtempii.zero() ;
01340 
01341         CArray<T_STATES> state_seq(m_seq_len) ;
01342         state_seq.set_array_name("state_seq");
01343         //state_seq.zero() ;
01344 
01345         CArray<int32_t> pos_seq(m_seq_len) ;
01346         pos_seq.set_array_name("pos_seq");
01347         //pos_seq.zero() ;
01348 
01349 
01350         m_dict_weights.set_array_name("dict_weights") ;
01351         m_word_degree.set_array_name("word_degree") ;
01352         m_cum_num_words.set_array_name("cum_num_words") ;
01353         m_num_words.set_array_name("num_words") ;
01354         //word_used.set_array_name("word_used") ;
01355         //svm_values_unnormalized.set_array_name("svm_values_unnormalized") ;
01356         //m_svm_pos_start.set_array_name("svm_pos_start") ;
01357         m_num_unique_words.set_array_name("num_unique_words") ;
01358 
01359         PEN.set_array_name("PEN") ;
01360         seq.set_array_name("seq") ;
01361 
01362         delta.set_array_name("delta") ;
01363         psi.set_array_name("psi") ;
01364         ktable.set_array_name("ktable") ;
01365         ptable.set_array_name("ptable") ;
01366         delta_end.set_array_name("delta_end") ;
01367         path_ends.set_array_name("path_ends") ;
01368         ktable_end.set_array_name("ktable_end") ;
01369 
01370 #ifdef USE_TMP_ARRAYCLASS
01371         fixedtempvv.set_array_name("fixedtempvv") ;
01372         fixedtempii.set_array_name("fixedtempvv") ;
01373 #endif
01374 
01375         oldtempvv.set_array_name("oldtempvv") ;
01376         oldtempvv2.set_array_name("oldtempvv2") ;
01377         oldtempii.set_array_name("oldtempii") ;
01378         oldtempii2.set_array_name("oldtempii2") ;
01379 
01380 
01382 
01383 #ifdef DYNPROG_DEBUG
01384         state_seq.display_size() ;
01385         pos_seq.display_size() ;
01386 
01387         m_dict_weights.display_size() ;
01388         m_word_degree.display_array() ;
01389         m_cum_num_words.display_array() ;
01390         m_num_words.display_array() ;
01391         //word_used.display_size() ;
01392         //svm_values_unnormalized.display_size() ;
01393         //m_svm_pos_start.display_array() ;
01394         m_num_unique_words.display_array() ;
01395 
01396         PEN.display_size() ;
01397         PEN_state_signals.display_size() ;
01398         seq.display_size() ;
01399         m_orf_info.display_size() ;
01400 
01401         //m_genestr_stop.display_size() ;
01402         delta.display_size() ;
01403         psi.display_size() ;
01404         ktable.display_size() ;
01405         ptable.display_size() ;
01406         delta_end.display_size() ;
01407         path_ends.display_size() ;
01408         ktable_end.display_size() ;
01409 
01410 #ifdef USE_TMP_ARRAYCLASS
01411         fixedtempvv.display_size() ;
01412         fixedtempii.display_size() ;
01413 #endif
01414 
01415         //oldtempvv.display_size() ;
01416         //oldtempii.display_size() ;
01417 
01418         state_seq.display_size() ;
01419         pos_seq.display_size() ;
01420 
01421         //seq.zero() ;
01422 
01423 #endif //DYNPROG_DEBUG
01424 
01426 
01427 
01428 
01429         {
01430             for (int32_t s=0; s<m_num_svms; s++)
01431                 ASSERT(m_string_words_array[s]<1)  ;
01432         }
01433 
01434 
01435         //CArray2<int32_t*> trans_matrix_svms(m_N,m_N);
01436         //CArray2<int32_t> trans_matrix_num_svms(m_N,m_N);
01437 
01438         { // initialization
01439 
01440             for (T_STATES i=0; i<m_N; i++)
01441             {
01442                 //delta.element(0, i, 0) = get_p(i) + seq.element(i,0) ;        // get_p defined in HMM.h to be equiv to initial_state_distribution
01443                 delta.element(delta_array, 0, i, 0, m_seq_len, m_N) = get_p(i) + seq.element(i,0) ;        // get_p defined in HMM.h to be equiv to initial_state_distribution
01444                 psi.element(0,i,0)   = 0 ;
01445                 if (nbest>1)
01446                     ktable.element(0,i,0)  = 0 ;
01447                 ptable.element(0,i,0)  = 0 ;
01448                 for (int16_t k=1; k<nbest; k++)
01449                 {
01450                     int32_t dim1, dim2, dim3 ;
01451                     delta.get_array_size(dim1, dim2, dim3) ;
01452                     //SG_DEBUG("i=%i, k=%i -- %i, %i, %i\n", i, k, dim1, dim2, dim3) ;
01453                     //delta.element(0, i, k)    = -CMath::INFTY ;
01454                     delta.element(delta_array, 0, i, k, m_seq_len, m_N)    = -CMath::INFTY ;
01455                     psi.element(0,i,0)      = 0 ;                  // <--- what's this for?
01456                     if (nbest>1)
01457                         ktable.element(0,i,k)     = 0 ;
01458                     ptable.element(0,i,k)     = 0 ;
01459                 }
01460                 /*
01461                    for (T_STATES j=0; j<m_N; j++)
01462                    {
01463                    CPlifBase * penalty = PEN.element(i,j) ;
01464                    int32_t num_current_svms=0;
01465                    int32_t svm_ids[] = {-8, -7, -6, -5, -4, -3, -2, -1};
01466                    if (penalty)
01467                    {
01468                    SG_PRINT("trans %i -> %i \n",i,j);
01469                    penalty->get_used_svms(&num_current_svms, svm_ids);
01470                    trans_matrix_svms.set_element(svm_ids,i,j);
01471                    for (int32_t l=0;l<num_current_svms;l++)
01472                    SG_PRINT("svm_ids[%i]: %i \n",l,svm_ids[l]);
01473                    trans_matrix_num_svms.set_element(num_current_svms,i,j);
01474                    }
01475                    }
01476                    */
01477 
01478             }
01479         }
01480 
01481         SG_DEBUG("START_RECURSION \n\n");
01482 
01483         // recursion
01484         for (int32_t t=1; t<m_seq_len; t++)
01485         {
01486             //if (is_big && t%(1+(m_seq_len/1000))==1)
01487             //  SG_PROGRESS(t, 0, m_seq_len);
01488             //SG_PRINT("%i\n", t) ;
01489 
01490             for (T_STATES j=0; j<m_N; j++)
01491             {
01492                 if (seq.element(j,t)<=-1e20)
01493                 { // if we cannot observe the symbol here, then we can omit the rest
01494                     for (int16_t k=0; k<nbest; k++)
01495                     {
01496                         delta.element(delta_array, t, j, k, m_seq_len, m_N)    = seq.element(j,t) ;
01497                         psi.element(t,j,k)         = 0 ;
01498                         if (nbest>1)
01499                             ktable.element(t,j,k)  = 0 ;
01500                         ptable.element(t,j,k)      = 0 ;
01501                     }
01502                 }
01503                 else
01504                 {
01505                     const T_STATES num_elem   = trans_list_forward_cnt[j] ;
01506                     const T_STATES *elem_list = trans_list_forward[j] ;
01507                     const float64_t *elem_val      = trans_list_forward_val[j] ;
01508                     const int32_t *elem_id      = trans_list_forward_id[j] ;
01509 
01510                     int32_t fixed_list_len = 0 ;
01511                     float64_t fixedtempvv_ = CMath::INFTY ;
01512                     int32_t fixedtempii_ = 0 ;
01513                     bool fixedtemplong = false ;
01514 
01515                     for (int32_t i=0; i<num_elem; i++)
01516                     {
01517                         T_STATES ii = elem_list[i] ;
01518 
01519                         const CPlifBase * penalty = PEN.element(j,ii) ;
01520 
01521                         /*int32_t look_back = max_look_back ;
01522                           if (0)
01523                           { // find lookback length
01524                           CPlifBase *pen = (CPlifBase*) penalty ;
01525                           if (pen!=NULL)
01526                           look_back=(int32_t) (CMath::ceil(pen->get_max_value()));
01527                           if (look_back>=1e6)
01528                           SG_PRINT("%i,%i -> %d from %ld\n", j, ii, look_back, (long)pen) ;
01529                           ASSERT(look_back<1e6);
01530                           } */
01531 
01532                         int32_t look_back_ = look_back.element(j, ii) ;
01533 
01534                         int32_t orf_from = m_orf_info.element(ii,0) ;
01535                         int32_t orf_to   = m_orf_info.element(j,1) ;
01536                         if((orf_from!=-1)!=(orf_to!=-1))
01537                             SG_DEBUG("j=%i  ii=%i  orf_from=%i orf_to=%i p=%1.2f\n", j, ii, orf_from, orf_to, elem_val[i]) ;
01538                         ASSERT((orf_from!=-1)==(orf_to!=-1)) ;
01539 
01540                         int32_t orf_target = -1 ;
01541                         if (orf_from!=-1)
01542                         {
01543                             orf_target=orf_to-orf_from ;
01544                             if (orf_target<0) 
01545                                 orf_target+=3 ;
01546                             ASSERT(orf_target>=0 && orf_target<3) ;
01547                         }
01548 
01549                         int32_t orf_last_pos = m_pos[t] ;
01550 #ifdef DYNPROG_TIMING
01551                         MyTime3.start() ;
01552 #endif              
01553                         int32_t num_ok_pos = 0 ;
01554 
01555                         for (int32_t ts=t-1; ts>=0 && m_pos[t]-m_pos[ts]<=look_back_; ts--)
01556                         {
01557                             bool ok ;
01558                             //int32_t plen=t-ts;
01559 
01560                             /*for (int32_t s=0; s<m_num_svms; s++)
01561                               if ((fabs(svs.svm_values[s*svs.seqlen+plen]-svs2.svm_values[s*svs.seqlen+plen])>1e-6) ||
01562                               (fabs(svs.svm_values[s*svs.seqlen+plen]-svs3.svm_values[s*svs.seqlen+plen])>1e-6))
01563                               {
01564                               SG_DEBUG( "s=%i, t=%i, ts=%i, %1.5e, %1.5e, %1.5e\n", s, t, ts, svs.svm_values[s*svs.seqlen+plen], svs2.svm_values[s*svs.seqlen+plen], svs3.svm_values[s*svs.seqlen+plen]);
01565                               }*/
01566 
01567                             if (orf_target==-1)
01568                                 ok=true ;
01569                             else if (m_pos[ts]!=-1 && (m_pos[t]-m_pos[ts])%3==orf_target)
01570                                 ok=(!use_orf) || extend_orf(orf_from, orf_to, m_pos[ts], orf_last_pos, m_pos[t]) ;
01571                             else
01572                                 ok=false ;
01573 
01574                             if (ok)
01575                             {
01576 
01577                                 float64_t segment_loss = 0.0 ;
01578                                 if (with_loss)
01579                                 {
01580                                     segment_loss = m_seg_loss_obj->get_segment_loss(ts, t, elem_id[i]);
01581                                     //if (segment_loss!=segment_loss2)
01582                                         //SG_PRINT("segment_loss:%f segment_loss2:%f\n", segment_loss, segment_loss2);
01583                                 }
01585                                 // BEST_PATH_TRANS
01587 
01588                                 int32_t frame = orf_from;//m_orf_info.element(ii,0);
01589                                 lookup_content_svm_values(ts, t, m_pos[ts], m_pos[t], svm_value, frame);
01590 
01591                                 float64_t pen_val = 0.0 ;
01592                                 if (penalty)
01593                                 {
01594 #ifdef DYNPROG_TIMING_DETAIL
01595                                     MyTime.start() ;
01596 #endif                              
01597                                     pen_val = penalty->lookup_penalty(m_pos[t]-m_pos[ts], svm_value) ;
01598 
01599 #ifdef DYNPROG_TIMING_DETAIL
01600                                     MyTime.stop() ;
01601                                     content_plifs_time += MyTime.time_diff_sec() ;
01602 #endif
01603                                 }
01604 
01605 #ifdef DYNPROG_TIMING_DETAIL
01606                                 MyTime.start() ;
01607 #endif                              
01608                                 num_ok_pos++ ;
01609 
01610                                 if (nbest==1)
01611                                 {
01612                                     float64_t  val        = elem_val[i] + pen_val ;
01613                                     if (with_loss)
01614                                         val              += segment_loss ;
01615 
01616                                     float64_t mval = -(val + delta.element(delta_array, ts, ii, 0, m_seq_len, m_N)) ;
01617 
01618                                     if (mval<fixedtempvv_)
01619                                     {
01620                                         fixedtempvv_ = mval ;
01621                                         fixedtempii_ = ii + ts*m_N;
01622                                         fixed_list_len = 1 ;
01623                                         fixedtemplong = false ;
01624                                     }
01625                                 }
01626                                 else
01627                                 {
01628                                     for (int16_t diff=0; diff<nbest; diff++)
01629                                     {
01630                                         float64_t  val        = elem_val[i]  ;
01631                                         val                  += pen_val ;
01632                                         if (with_loss)
01633                                             val              += segment_loss ;
01634 
01635                                         float64_t mval = -(val + delta.element(delta_array, ts, ii, diff, m_seq_len, m_N)) ;
01636 
01637                                         /* only place -val in fixedtempvv if it is one of the nbest lowest values in there */
01638                                         /* fixedtempvv[i], i=0:nbest-1, is sorted so that fixedtempvv[0] <= fixedtempvv[1] <= ...*/
01639                                         /* fixed_list_len has the number of elements in fixedtempvv */
01640 
01641                                         if ((fixed_list_len < nbest) || ((0==fixed_list_len) || (mval < fixedtempvv[fixed_list_len-1])))
01642                                         {
01643                                             if ( (fixed_list_len<nbest) && ((0==fixed_list_len) || (mval>fixedtempvv[fixed_list_len-1])) )
01644                                             {
01645                                                 fixedtempvv[fixed_list_len] = mval ;
01646                                                 fixedtempii[fixed_list_len] = ii + diff*m_N + ts*m_N*nbest;
01647                                                 fixed_list_len++ ;
01648                                             }
01649                                             else  // must have mval < fixedtempvv[fixed_list_len-1]
01650                                             {
01651                                                 int32_t addhere = fixed_list_len;
01652                                                 while ((addhere > 0) && (mval < fixedtempvv[addhere-1]))
01653                                                     addhere--;
01654 
01655                                                 // move everything from addhere+1 one forward 
01656                                                 for (int32_t jj=fixed_list_len-1; jj>addhere; jj--)
01657                                                 {
01658                                                     fixedtempvv[jj] = fixedtempvv[jj-1];
01659                                                     fixedtempii[jj] = fixedtempii[jj-1];
01660                                                 }
01661 
01662                                                 fixedtempvv[addhere] = mval;
01663                                                 fixedtempii[addhere] = ii + diff*m_N + ts*m_N*nbest;
01664 
01665                                                 if (fixed_list_len < nbest)
01666                                                     fixed_list_len++;
01667                                             }
01668                                         }
01669                                     }
01670                                 }
01671 #ifdef DYNPROG_TIMING_DETAIL
01672                                 MyTime.stop() ;
01673                                 inner_loop_max_time += MyTime.time_diff_sec() ;
01674 #endif
01675                             }
01676                         }
01677 #ifdef DYNPROG_TIMING
01678                         MyTime3.stop() ;
01679                         inner_loop_time += MyTime3.time_diff_sec() ;
01680 #endif
01681                     }
01682                     for (int32_t i=0; i<num_elem; i++)
01683                     {
01684                         T_STATES ii = elem_list[i] ;
01685 
01686                         const CPlifBase * penalty = PEN.element(j,ii) ;
01687 
01688                         /*int32_t look_back = max_look_back ;
01689                           if (0)
01690                           { // find lookback length
01691                           CPlifBase *pen = (CPlifBase*) penalty ;
01692                           if (pen!=NULL)
01693                           look_back=(int32_t) (CMath::ceil(pen->get_max_value()));
01694                           if (look_back>=1e6)
01695                           SG_PRINT("%i,%i -> %d from %ld\n", j, ii, look_back, (long)pen) ;
01696                           ASSERT(look_back<1e6);
01697                           } */
01698 
01699                         int32_t look_back_ = look_back.element(j, ii) ;
01700                         //int32_t look_back_orig_ = look_back_orig.element(j, ii) ;
01701 
01702                         int32_t orf_from = m_orf_info.element(ii,0) ;
01703                         int32_t orf_to   = m_orf_info.element(j,1) ;
01704                         if((orf_from!=-1)!=(orf_to!=-1))
01705                             SG_DEBUG("j=%i  ii=%i  orf_from=%i orf_to=%i p=%1.2f\n", j, ii, orf_from, orf_to, elem_val[i]) ;
01706                         ASSERT((orf_from!=-1)==(orf_to!=-1)) ;
01707 
01708                         int32_t orf_target = -1 ;
01709                         if (orf_from!=-1)
01710                         {
01711                             orf_target=orf_to-orf_from ;
01712                             if (orf_target<0) 
01713                                 orf_target+=3 ;
01714                             ASSERT(orf_target>=0 && orf_target<3) ;
01715                         }
01716 
01717                         //int32_t loss_last_pos = t ;
01718                         //float64_t last_loss = 0.0 ;
01719 
01720 #ifdef DYNPROG_TIMING
01721                         MyTime3.start() ;
01722 #endif              
01723 
01724                         /* long transition stuff */
01725                         /* only do this, if 
01726                          * this feature is enabled
01727                          * this is not a transition with ORF restrictions
01728                          * the loss is switched off
01729                          * nbest=1
01730                          */ 
01731 #ifdef DYNPROG_TIMING
01732                         MyTime3.start() ;
01733 #endif
01734                         // long transitions, only when not considering ORFs
01735                         if ( long_transitions && orf_target==-1 && look_back_ == m_long_transition_threshold )
01736                         {
01737 
01738                             // update table for 5' part  of the long segment
01739 
01740                             int32_t start = long_transition_content_start.get_element(ii, j) ;
01741                             int32_t end_5p_part = start ;
01742                             for (int32_t start_5p_part=start; m_pos[t]-m_pos[start_5p_part] > m_long_transition_threshold ; start_5p_part++)
01743                             {
01744                                 // find end_5p_part, which is greater than start_5p_part and at least m_long_transition_threshold away
01745                                 while (end_5p_part<=t && m_pos[end_5p_part+1]-m_pos[start_5p_part]<=m_long_transition_threshold)
01746                                     end_5p_part++ ;
01747 
01748                                 ASSERT(m_pos[end_5p_part+1]-m_pos[start_5p_part] > m_long_transition_threshold || end_5p_part==t) ;
01749                                 ASSERT(m_pos[end_5p_part]-m_pos[start_5p_part] <= m_long_transition_threshold) ;
01750 
01751                                 float64_t pen_val = 0.0;
01752                                 /* recompute penalty, if necessary */
01753                                 if (penalty)
01754                                 {
01755                                     int32_t frame = m_orf_info.element(ii,0);
01756                                     lookup_content_svm_values(start_5p_part, end_5p_part, m_pos[start_5p_part], m_pos[end_5p_part], svm_value, frame); // * t -> end_5p_part 
01757                                     pen_val = penalty->lookup_penalty(m_pos[end_5p_part]-m_pos[start_5p_part], svm_value) ;
01758                                 }
01759 
01760                                 /*if (m_pos[start_5p_part]==1003)
01761                                   {
01762                                   SG_PRINT("Part1: %i - %i   vs  %i - %i\n", m_pos[t], m_pos[ts], m_pos[end_5p_part], m_pos[start_5p_part]) ;
01763                                   SG_PRINT("Part1: ts=%i  t=%i  start_5p_part=%i  m_seq_len=%i\n", m_pos[ts], m_pos[t], m_pos[start_5p_part], m_seq_len) ;
01764                                   }*/
01765 
01766                                 float64_t mval_trans = -( elem_val[i] + pen_val*0.5 + delta.element(delta_array, start_5p_part, ii, 0, m_seq_len, m_N) ) ;
01767                                 //float64_t mval_trans = -( elem_val[i] + delta.element(delta_array, ts, ii, 0, m_seq_len, m_N) ) ; // enable this for the incomplete extra check
01768 
01769                                 float64_t segment_loss_part1=0.0 ;
01770                                 if (with_loss)
01771                                 {  // this is the loss from the start of the long segment (5' part + middle section)
01772 
01773                                     segment_loss_part1 = m_seg_loss_obj->get_segment_loss(start_5p_part /*long_transition_content_start_position.get_element(ii,j)*/, end_5p_part, elem_id[i]); // * unsure
01774 
01775                                     mval_trans -= segment_loss_part1 ;
01776                                 }
01777 
01778                                 
01779                                 if (0)//m_pos[end_5p_part] - m_pos[long_transition_content_start_position.get_element(ii, j)] > look_back_orig_/*m_long_transition_max*/)
01780                                 {
01781                                     // this restricts the maximal length of segments, 
01782                                     // but the current implementation is not valid since the 
01783                                     // long transition is discarded without loocking if there 
01784                                     // is a second best long transition in between
01785                                     long_transition_content_scores.set_element(-CMath::INFTY, ii, j) ;
01786                                     long_transition_content_start_position.set_element(0, ii, j) ;
01787                                     if (with_loss)
01788                                         long_transition_content_scores_loss.set_element(0.0, ii, j) ;
01789 #ifdef DYNPROG_DEBUG
01790                                     long_transition_content_scores_pen.set_element(0.0, ii, j) ;
01791                                     long_transition_content_scores_elem.set_element(0.0, ii, j) ;
01792                                     long_transition_content_scores_prev.set_element(0.0, ii, j) ;
01793                                     long_transition_content_end_position.set_element(0, ii, j) ;
01794 #endif
01795                                 }
01796                                 if (with_loss)
01797                                 {
01798                                     float64_t old_loss = long_transition_content_scores_loss.get_element(ii, j) ;
01799                                     float64_t new_loss = m_seg_loss_obj->get_segment_loss(long_transition_content_start_position.get_element(ii,j), end_5p_part, elem_id[i]);
01800                                     float64_t score = long_transition_content_scores.get_element(ii, j) - old_loss + new_loss ;
01801                                     long_transition_content_scores.set_element(score, ii, j) ;
01802                                     long_transition_content_scores_loss.set_element(new_loss, ii, j) ;
01803 #ifdef DYNPROG_DEBUG
01804                                     long_transition_content_end_position.set_element(end_5p_part, ii, j) ;
01805 #endif
01806 
01807                                 }
01808                                 if (-long_transition_content_scores.get_element(ii, j) > mval_trans )
01809                                 {
01810                                     /* then the old long transition is either too far away or worse than the current one */
01811                                     long_transition_content_scores.set_element(-mval_trans, ii, j) ;
01812                                     long_transition_content_start_position.set_element(start_5p_part, ii, j) ;
01813                                     if (with_loss)
01814                                         long_transition_content_scores_loss.set_element(segment_loss_part1, ii, j) ;
01815 #ifdef DYNPROG_DEBUG
01816                                     long_transition_content_scores_pen.set_element(pen_val*0.5, ii, j) ;
01817                                     long_transition_content_scores_elem.set_element(elem_val[i], ii, j) ;
01818                                     long_transition_content_scores_prev.set_element(delta.element(delta_array, start_5p_part, ii, 0, m_seq_len, m_N), ii, j) ;
01819                                     /*ASSERT(fabs(long_transition_content_scores.get_element(ii, j)-(long_transition_content_scores_pen.get_element(ii, j) +
01820                                       long_transition_content_scores_elem.get_element(ii, j) + 
01821                                       long_transition_content_scores_prev.get_element(ii, j)))<1e-6) ;*/
01822                                     long_transition_content_end_position.set_element(end_5p_part, ii, j) ;
01823 #endif
01824                                 }
01825                                 //
01826                                 // this sets the position where the search for better 5'parts is started the next time
01827                                 // whithout this the prediction takes ages
01828                                 //
01829                                 long_transition_content_start.set_element(start_5p_part, ii, j) ; 
01830                             }
01831 
01832                             // consider the 3' part at the end of the long segment:
01833                             // * with length = m_long_transition_threshold
01834                             // * content prediction and loss only for this part
01835 
01836                             // find ts > 0 with distance from m_pos[t] greater m_long_transition_threshold 
01837                             // precompute: only depends on t
01838                             int ts = t;
01839                             while (ts>0 && m_pos[t]-m_pos[ts-1] <= m_long_transition_threshold)
01840                                 ts-- ;
01841 
01842                             if (ts>0)
01843                             {
01844                                 ASSERT((m_pos[t]-m_pos[ts-1] > m_long_transition_threshold) && (m_pos[t]-m_pos[ts] <= m_long_transition_threshold)) ;
01845 
01846 
01847                                 /* only consider this transition, if the right position was found */
01848                                 float pen_val_3p = 0.0 ;
01849                                 if (penalty)
01850                                 {
01851                                     int32_t frame = orf_from ; //m_orf_info.element(ii, 0);
01852                                     lookup_content_svm_values(ts, t, m_pos[ts], m_pos[t], svm_value, frame); 
01853                                     pen_val_3p = penalty->lookup_penalty(m_pos[t]-m_pos[ts], svm_value) ;
01854                                 }
01855 
01856                                 float64_t mval = -(long_transition_content_scores.get_element(ii, j) + pen_val_3p*0.5) ;
01857                                 
01858                                 {
01859 #ifdef DYNPROG_DEBUG
01860                                     float64_t segment_loss_part2=0.0 ;
01861                                     float64_t segment_loss_part1=0.0 ;
01862 #endif
01863                                     float64_t segment_loss_total=0.0 ;
01864                                     
01865                                     if (with_loss)
01866                                     {   // this is the loss for the 3' end fragment of the segment
01867                                         // (the 5' end and the middle section loss is already contained in mval)
01868                                         
01869 #ifdef DYNPROG_DEBUG
01870                                         // this is an alternative, which should be identical, if the loss is additive
01871                                         segment_loss_part2 = m_seg_loss_obj->get_segment_loss_extend(long_transition_content_end_position.get_element(ii,j), t, elem_id[i]);
01872                                         //mval -= segment_loss_part2 ;
01873                                         segment_loss_part1 = m_seg_loss_obj->get_segment_loss(long_transition_content_start_position.get_element(ii,j), long_transition_content_end_position.get_element(ii,j), elem_id[i]);
01874 #endif
01875                                         segment_loss_total = m_seg_loss_obj->get_segment_loss(long_transition_content_start_position.get_element(ii,j), t, elem_id[i]);
01876                                         mval -= (segment_loss_total-long_transition_content_scores_loss.get_element(ii, j)) ;
01877                                     }
01878                                     
01879 #ifdef DYNPROG_DEBUG
01880                                     if (m_pos[t]==10108 ||m_pos[t]==12802 ||m_pos[t]== 12561)
01881                                     {
01882                                         SG_PRINT("Part2: %i,%i,%i: val=%1.6f  pen_val_3p*0.5=%1.6f (t=%i, ts=%i, ts-1=%i, ts+1=%i); scores=%1.6f (pen=%1.6f,prev=%1.6f,elem=%1.6f,loss=%1.1f), positions=%i,%i,%i,  loss=%1.1f/%1.1f (%i,%i)\n", 
01883                                                  m_pos[t], j, ii, -mval, 0.5*pen_val_3p, m_pos[t], m_pos[ts], m_pos[ts-1], m_pos[ts+1], 
01884                                                  long_transition_content_scores.get_element(ii, j), 
01885                                                  long_transition_content_scores_pen.get_element(ii, j), 
01886                                                  long_transition_content_scores_prev.get_element(ii, j), 
01887                                                  long_transition_content_scores_elem.get_element(ii, j), 
01888                                                  long_transition_content_scores_loss.get_element(ii, j), 
01889                                                  m_pos[long_transition_content_start_position.get_element(ii,j)], 
01890                                                  m_pos[long_transition_content_end_position.get_element(ii,j)], 
01891                                                  m_pos[long_transition_content_start.get_element(ii,j)], segment_loss_part2, segment_loss_total, long_transition_content_start_position.get_element(ii,j), t) ;
01892                                         SG_PRINT("fixedtempvv_: %1.6f, from_state:%i from_pos:%i\n ",-fixedtempvv_, (fixedtempii_%m_N), m_pos[(fixedtempii_-(fixedtempii_%(m_N*nbest)))/(m_N*nbest)] );
01893                                     }
01894                                     
01895                                     if (fabs(segment_loss_part2+long_transition_content_scores_loss.get_element(ii, j) - segment_loss_total)>1e-3)
01896                                     {
01897                                         SG_ERROR("LOSS: total=%1.1f (%i-%i)  part1=%1.1f/%1.1f (%i-%i)  part2=%1.1f (%i-%i)  sum=%1.1f  diff=%1.1f\n", 
01898                                                  segment_loss_total, m_pos[long_transition_content_start_position.get_element(ii,j)], m_pos[t], 
01899                                                  long_transition_content_scores_loss.get_element(ii, j), segment_loss_part1, m_pos[long_transition_content_start_position.get_element(ii,j)], m_pos[long_transition_content_end_position.get_element(ii,j)],
01900                                                  segment_loss_part2, m_pos[long_transition_content_end_position.get_element(ii,j)], m_pos[t], 
01901                                                  segment_loss_part2+long_transition_content_scores_loss.get_element(ii, j), 
01902                                                  segment_loss_part2+long_transition_content_scores_loss.get_element(ii, j) - segment_loss_total) ;
01903                                     }
01904 #endif
01905                                 }
01906 
01907                                 // prefer simpler version to guarantee optimality
01908                                 // 
01909                                 // original:
01910                                 /* if ((mval < fixedtempvv_) &&
01911                                     (m_pos[t] - m_pos[long_transition_content_start_position.get_element(ii, j)])<=look_back_orig_) */
01912                                 if (mval < fixedtempvv_)
01913                                 {
01914                                     /* then the long transition is better than the short one => replace it */ 
01915                                     int32_t fromtjk =  fixedtempii_ ;
01916                                     /*SG_PRINT("%i,%i: Long transition (%1.5f=-(%1.5f+%1.5f+%1.5f+%1.5f), %i) to m_pos %i better than short transition (%1.5f,%i) to m_pos %i \n", 
01917                                       m_pos[t], j, 
01918                                       mval, pen_val_3p*0.5, long_transition_content_scores_pen.get_element(ii, j), long_transition_content_scores_elem.get_element(ii, j), long_transition_content_scores_prev.get_element(ii, j), ii, 
01919                                       m_pos[long_transition_content_position.get_element(ii, j)], 
01920                                       fixedtempvv_, (fromtjk%m_N), m_pos[(fromtjk-(fromtjk%(m_N*nbest)))/(m_N*nbest)]) ;*/
01921                                     ASSERT((fromtjk-(fromtjk%(m_N*nbest)))/(m_N*nbest)==0 || m_pos[(fromtjk-(fromtjk%(m_N*nbest)))/(m_N*nbest)]>=m_pos[long_transition_content_start_position.get_element(ii, j)] || fixedtemplong) ;
01922 
01923                                     fixedtempvv_ = mval ;
01924                                     fixedtempii_ = ii + m_N*long_transition_content_start_position.get_element(ii, j) ;
01925                                     fixed_list_len = 1 ;
01926                                     fixedtemplong = true ;
01927                                 }
01928                             }
01929                         }
01930                     }
01931 #ifdef DYNPROG_TIMING
01932                     MyTime3.stop() ;
01933                     long_transition_time += MyTime3.time_diff_sec() ;
01934 #endif
01935 
01936 
01937                     int32_t numEnt = fixed_list_len;
01938 
01939                     float64_t minusscore;
01940                     int64_t fromtjk;
01941 
01942                     for (int16_t k=0; k<nbest; k++)
01943                     {
01944                         if (k<numEnt)
01945                         {
01946                             if (nbest==1)
01947                             {
01948                                 minusscore = fixedtempvv_ ;
01949                                 fromtjk = fixedtempii_ ;
01950                             }
01951                             else
01952                             {
01953                                 minusscore = fixedtempvv[k];
01954                                 fromtjk = fixedtempii[k];
01955                             }
01956 
01957                             delta.element(delta_array, t, j, k, m_seq_len, m_N)    = -minusscore + seq.element(j,t);
01958                             psi.element(t,j,k)      = (fromtjk%m_N) ;
01959                             if (nbest>1)
01960                                 ktable.element(t,j,k)   = (fromtjk%(m_N*nbest)-psi.element(t,j,k))/m_N ;
01961                             ptable.element(t,j,k)   = (fromtjk-(fromtjk%(m_N*nbest)))/(m_N*nbest) ;
01962                         }
01963                         else
01964                         {
01965                             delta.element(delta_array, t, j, k, m_seq_len, m_N)    = -CMath::INFTY ;
01966                             psi.element(t,j,k)      = 0 ;
01967                             if (nbest>1)
01968                                 ktable.element(t,j,k)     = 0 ;
01969                             ptable.element(t,j,k)     = 0 ;
01970                         }
01971                     }
01972                 }
01973             }
01974         }
01975         { //termination
01976             int32_t list_len = 0 ;
01977             for (int16_t diff=0; diff<nbest; diff++)
01978             {
01979                 for (T_STATES i=0; i<m_N; i++)
01980                 {
01981                     oldtempvv[list_len] = -(delta.element(delta_array, (m_seq_len-1), i, diff, m_seq_len, m_N)+get_q(i)) ;
01982                     oldtempii[list_len] = i + diff*m_N ;
01983                     list_len++ ;
01984                 }
01985             }
01986 
01987             CMath::nmin(oldtempvv.get_array(), oldtempii.get_array(), list_len, nbest) ;
01988 
01989             for (int16_t k=0; k<nbest; k++)
01990             {
01991                 delta_end.element(k) = -oldtempvv[k] ;
01992                 path_ends.element(k) = (oldtempii[k]%m_N) ;
01993                 if (nbest>1)
01994                     ktable_end.element(k) = (oldtempii[k]-path_ends.element(k))/m_N ;
01995             }
01996 
01997 
01998         }
01999 
02000         { //state sequence backtracking     
02001             for (int16_t k=0; k<nbest; k++)
02002             {
02003                 prob_nbest[k]= delta_end.element(k) ;
02004 
02005                 int32_t i         = 0 ;
02006                 state_seq[i]  = path_ends.element(k) ;
02007                 int16_t q   = 0 ;
02008                 if (nbest>1)
02009                     q=ktable_end.element(k) ;
02010                 pos_seq[i]    = m_seq_len-1 ;
02011 
02012                 while (pos_seq[i]>0)
02013                 {
02014                     ASSERT(i+1<m_seq_len);
02015                     //SG_DEBUG("s=%i p=%i q=%i\n", state_seq[i], pos_seq[i], q) ;
02016                     state_seq[i+1] = psi.element(pos_seq[i], state_seq[i], q);
02017                     pos_seq[i+1]   = ptable.element(pos_seq[i], state_seq[i], q) ;
02018                     if (nbest>1)
02019                         q              = ktable.element(pos_seq[i], state_seq[i], q) ;
02020                     i++ ;
02021                 }
02022                 //SG_DEBUG("s=%i p=%i q=%i\n", state_seq[i], pos_seq[i], q) ;
02023                 int32_t num_states = i+1 ;
02024                 for (i=0; i<num_states;i++)
02025                 {
02026                     my_state_seq[i+k*m_seq_len] = state_seq[num_states-i-1] ;
02027                     my_pos_seq[i+k*m_seq_len]   = pos_seq[num_states-i-1] ;
02028                 }
02029                 if (num_states<m_seq_len)
02030                 {
02031                     my_state_seq[num_states+k*m_seq_len]=-1 ;
02032                     my_pos_seq[num_states+k*m_seq_len]=-1 ;
02033                 }
02034             }
02035         }
02036 
02037         //if (is_big)
02038         //  SG_PRINT( "DONE.     \n") ;
02039 
02040 
02041 #ifdef DYNPROG_TIMING
02042         MyTime2.stop() ;
02043 
02044         //if (is_big)
02045         SG_PRINT("Timing:  orf=%1.2f s \n Segment_init=%1.2f s Segment_pos=%1.2f s  Segment_extend=%1.2f s Segment_clean=%1.2f s\nsvm_init=%1.2f s  svm_pos=%1.2f  svm_clean=%1.2f\n  content_svm_values_time=%1.2f  content_plifs_time=%1.2f\ninner_loop_max_time=%1.2f inner_loop=%1.2f long_transition_time=%1.2f\n total=%1.2f\n", orf_time, segment_init_time, segment_pos_time, segment_extend_time, segment_clean_time, svm_init_time, svm_pos_time, svm_clean_time, content_svm_values_time, content_plifs_time, inner_loop_max_time, inner_loop_time, long_transition_time, MyTime2.time_diff_sec()) ;
02046 #endif
02047 
02048         SG_FREE(fixedtempvv);
02049         SG_FREE(fixedtempii);
02050     }
02051 
02052 
02053 void CDynProg::best_path_trans_deriv(
02054     int32_t *my_state_seq, int32_t *my_pos_seq,
02055     int32_t my_seq_len, const float64_t *seq_array, int32_t max_num_signals)
02056 {   
02057     m_initial_state_distribution_p_deriv.resize_array(m_N) ;
02058     m_end_state_distribution_q_deriv.resize_array(m_N) ;
02059     m_transition_matrix_a_deriv.resize_array(m_N,m_N) ;
02060     //m_my_scores.resize_array(m_my_state_seq.get_array_size()) ;
02061     //m_my_losses.resize_array(m_my_state_seq.get_array_size()) ;
02062     m_my_scores.resize_array(my_seq_len);
02063     m_my_losses.resize_array(my_seq_len);
02064     float64_t* my_scores=m_my_scores.get_array();
02065     float64_t* my_losses=m_my_losses.get_array();
02066     CPlifBase** Plif_matrix=m_plif_matrices->get_plif_matrix();
02067     CPlifBase** Plif_state_signals=m_plif_matrices->get_state_signals();
02068 
02069     if (!m_svm_arrays_clean)
02070     {
02071         SG_ERROR( "SVM arrays not clean") ;
02072         return ;
02073     } ;
02074     //SG_PRINT( "genestr_len=%i, genestr_num=%i\n", genestr_len, genestr_num) ;
02075     //m_mod_words.display() ;
02076     //m_sign_words.display() ;
02077     //m_string_words.display() ;
02078 
02079     bool use_svm = false ;
02080 
02081     CArray2<CPlifBase*> PEN(Plif_matrix, m_N, m_N, false, false) ;
02082    PEN.set_array_name("PEN");
02083     CArray2<CPlifBase*> PEN_state_signals(Plif_state_signals, m_N, max_num_signals, false, false) ;
02084    PEN_state_signals.set_array_name("PEN_state_signals");
02085     CArray3<float64_t> seq_input(seq_array, m_N, m_seq_len, max_num_signals) ;
02086    seq_input.set_array_name("seq_input");
02087 
02088     { // determine whether to use svm outputs and clear derivatives
02089         for (int32_t i=0; i<m_N; i++)
02090             for (int32_t j=0; j<m_N; j++)
02091             {
02092                 CPlifBase *penij=PEN.element(i,j) ;
02093                 if (penij==NULL)
02094                     continue ;
02095 
02096                 if (penij->uses_svm_values())
02097                     use_svm=true ;
02098                 penij->penalty_clear_derivative() ;
02099             }
02100         for (int32_t i=0; i<m_N; i++)
02101             for (int32_t j=0; j<max_num_signals; j++)
02102             {
02103                 CPlifBase *penij=PEN_state_signals.element(i,j) ;
02104                 if (penij==NULL)
02105                     continue ;
02106                 if (penij->uses_svm_values())
02107                     use_svm=true ;
02108                 penij->penalty_clear_derivative() ;
02109             }
02110     }
02111 
02112     { // set derivatives of p, q and a to zero
02113 
02114         for (int32_t i=0; i<m_N; i++)
02115         {
02116             m_initial_state_distribution_p_deriv.element(i)=0 ;
02117             m_end_state_distribution_q_deriv.element(i)=0 ;
02118             for (int32_t j=0; j<m_N; j++)
02119                 m_transition_matrix_a_deriv.element(i,j)=0 ;
02120         }
02121     }
02122 
02123     { // clear score vector
02124         for (int32_t i=0; i<my_seq_len; i++)
02125         {
02126             my_scores[i]=0.0 ;
02127             my_losses[i]=0.0 ;
02128         }
02129     }
02130 
02131     //int32_t total_len = 0 ;
02132 
02133     //m_transition_matrix_a.display_array() ;
02134     //m_transition_matrix_a_id.display_array() ;
02135 
02136     // compute derivatives for given path
02137     float64_t* svm_value = SG_MALLOC(float64_t, m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs);
02138     float64_t* svm_value_part1 = SG_MALLOC(float64_t, m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs);
02139     float64_t* svm_value_part2 = SG_MALLOC(float64_t, m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs);
02140     for (int32_t s=0; s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; s++)
02141     {
02142         svm_value[s]=0 ;
02143         svm_value_part1[s]=0 ;
02144         svm_value_part2[s]=0 ;
02145     }
02146 
02147     //#ifdef DYNPROG_DEBUG
02148     float64_t total_score = 0.0 ;
02149     float64_t total_loss = 0.0 ;
02150     //#endif        
02151 
02152     ASSERT(my_state_seq[0]>=0) ;
02153     m_initial_state_distribution_p_deriv.element(my_state_seq[0])++ ;
02154     my_scores[0] += m_initial_state_distribution_p.element(my_state_seq[0]) ;
02155 
02156     ASSERT(my_state_seq[my_seq_len-1]>=0) ;
02157     m_end_state_distribution_q_deriv.element(my_state_seq[my_seq_len-1])++ ;
02158     my_scores[my_seq_len-1] += m_end_state_distribution_q.element(my_state_seq[my_seq_len-1]);
02159 
02160     //#ifdef DYNPROG_DEBUG
02161     total_score += my_scores[0] + my_scores[my_seq_len-1] ;
02162     //#endif        
02163 
02164     SG_DEBUG( "m_seq_len=%i\n", my_seq_len) ;
02165     for (int32_t i=0; i<my_seq_len-1; i++)
02166     {
02167         if (my_state_seq[i+1]==-1)
02168             break ;
02169         int32_t from_state = my_state_seq[i] ;
02170         int32_t to_state   = my_state_seq[i+1] ;
02171         int32_t from_pos   = my_pos_seq[i] ;
02172         int32_t to_pos     = my_pos_seq[i+1] ;
02173 
02174         int32_t elem_id = m_transition_matrix_a_id.element(from_state, to_state) ;
02175         my_losses[i] = m_seg_loss_obj->get_segment_loss(from_pos, to_pos, elem_id);
02176 
02177 #ifdef DYNPROG_DEBUG
02178 
02179 
02180         if (i>0)// test if segment loss is additive
02181         {
02182             float32_t loss1 = m_seg_loss_obj->get_segment_loss(my_pos_seq[i-1], my_pos_seq[i], elem_id);
02183             float32_t loss2 = m_seg_loss_obj->get_segment_loss(my_pos_seq[i], my_pos_seq[i+1], elem_id);
02184             float32_t loss3 = m_seg_loss_obj->get_segment_loss(my_pos_seq[i-1], my_pos_seq[i+1], elem_id);
02185             SG_PRINT("loss1:%f loss2:%f loss3:%f, diff:%f\n", loss1, loss2, loss3, loss1+loss2-loss3);
02186             if (CMath::abs(loss1+loss2-loss3)>0)
02187             {
02188                 SG_PRINT( "%i. segment loss %f (id=%i): from=%i(%i), to=%i(%i)\n", i, my_losses[i], elem_id, from_pos, from_state, to_pos, to_state) ;
02189             }
02190         }
02191         io->set_loglevel(M_DEBUG) ;
02192         SG_DEBUG( "%i. segment loss %f (id=%i): from=%i(%i), to=%i(%i)\n", i, my_losses[i], elem_id, from_pos, from_state, to_pos, to_state) ;
02193 #endif
02194         // increase usage of this transition
02195         m_transition_matrix_a_deriv.element(from_state, to_state)++ ;
02196         my_scores[i] += m_transition_matrix_a.element(from_state, to_state) ;
02197         //SG_PRINT("m_transition_matrix_a.element(%i, %i),%f \n",from_state, to_state, m_transition_matrix_a.element(from_state, to_state));
02198 #ifdef DYNPROG_DEBUG
02199         SG_DEBUG( "%i. scores[i]=%f\n", i, my_scores[i]) ;
02200 #endif
02201 
02202         /*int32_t last_svm_pos[m_num_degrees] ;
02203           for (int32_t qq=0; qq<m_num_degrees; qq++)
02204           last_svm_pos[qq]=-1 ;*/
02205 
02206         bool is_long_transition = false ;
02207         if (m_long_transitions)
02208         {
02209             if (m_pos[to_pos]-m_pos[from_pos]>m_long_transition_threshold)
02210                 is_long_transition = true ;
02211             if (m_orf_info.element(from_state,0)!=-1)
02212                 is_long_transition = false ;
02213         }
02214         
02215         int32_t from_pos_thresh = from_pos ;
02216         int32_t to_pos_thresh = to_pos ;
02217 
02218         if (use_svm)
02219         {
02220             if (is_long_transition)
02221             {
02222                 
02223                 while (from_pos_thresh<to_pos && m_pos[from_pos_thresh+1] - m_pos[from_pos] <= m_long_transition_threshold) // *
02224                     from_pos_thresh++ ;
02225                 ASSERT(from_pos_thresh<to_pos) ;
02226                 ASSERT(m_pos[from_pos_thresh] - m_pos[from_pos] <= m_long_transition_threshold); // *
02227                 ASSERT(m_pos[from_pos_thresh+1] - m_pos[from_pos] > m_long_transition_threshold);// *
02228 
02229                 int32_t frame = m_orf_info.element(from_state,0);
02230                 lookup_content_svm_values(from_pos, from_pos_thresh, m_pos[from_pos], m_pos[from_pos_thresh], svm_value_part1, frame);
02231 
02232 #ifdef DYNPROG_DEBUG
02233                 SG_PRINT("part1: pos1: %i  pos2: %i   pos3: %i  \nsvm_value_part1: ", m_pos[from_pos], m_pos[from_pos_thresh], m_pos[from_pos_thresh+1]) ;
02234                 for (int32_t s=0; s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; s++)
02235                     SG_PRINT("%1.4f  ", svm_value_part1[s]);
02236                 SG_PRINT("\n");
02237 #endif
02238 
02239                 while (to_pos_thresh>0 && m_pos[to_pos] - m_pos[to_pos_thresh-1] <= m_long_transition_threshold) // *
02240                     to_pos_thresh-- ;
02241                 ASSERT(to_pos_thresh>0) ;
02242                 ASSERT(m_pos[to_pos] - m_pos[to_pos_thresh] <= m_long_transition_threshold) ; // *
02243                 ASSERT(m_pos[to_pos] - m_pos[to_pos_thresh-1] > m_long_transition_threshold) ; // *
02244 
02245                 lookup_content_svm_values(to_pos_thresh, to_pos, m_pos[to_pos_thresh], m_pos[to_pos], svm_value_part2, frame);
02246 
02247 #ifdef DYNPROG_DEBUG
02248                 SG_PRINT("part2: pos1: %i  pos2: %i   pos3: %i  \nsvm_value_part2: ", m_pos[to_pos], m_pos[to_pos_thresh], m_pos[to_pos_thresh+1]) ;
02249                 for (int32_t s=0; s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; s++)
02250                     SG_PRINT("%1.4f  ", svm_value_part2[s]);
02251                 SG_PRINT("\n");
02252 #endif
02253             }
02254             else
02255             {
02256                 /* normal case */
02257 
02258                 //SG_PRINT("from_pos: %i; to_pos: %i; m_pos[to_pos]-m_pos[from_pos]: %i \n",from_pos, to_pos, m_pos[to_pos]-m_pos[from_pos]); 
02259                 int32_t frame = m_orf_info.element(from_state,0);
02260                 if (false)//(frame>=0)
02261                 {
02262                     int32_t num_current_svms=0;
02263                     int32_t svm_ids[] = {-8, -7, -6, -5, -4, -3, -2, -1};
02264                     SG_PRINT("penalties(%i, %i), frame:%i  ", from_state, to_state, frame);
02265                     PEN.element(to_state, from_state)->get_used_svms(&num_current_svms, svm_ids);
02266                     SG_PRINT("\n");
02267                 }
02268 
02269                 lookup_content_svm_values(from_pos, to_pos, m_pos[from_pos],m_pos[to_pos], svm_value, frame);
02270 #ifdef DYNPROG_DEBUG
02271                 SG_PRINT("part2: pos1: %i  pos2: %i   \nsvm_values: ", m_pos[from_pos], m_pos[to_pos]) ;
02272                 for (int32_t s=0; s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; s++)
02273                     SG_PRINT("%1.4f  ", svm_value[s]);
02274                 SG_PRINT("\n");
02275 #endif
02276             }
02277         }
02278 
02279         if (PEN.element(to_state, from_state)!=NULL)
02280         {
02281             float64_t nscore = 0 ;
02282             if (is_long_transition)
02283             {
02284                 float64_t pen_value_part1 = PEN.element(to_state, from_state)->lookup_penalty(m_pos[from_pos_thresh]-m_pos[from_pos], svm_value_part1) ;
02285                 float64_t pen_value_part2 = PEN.element(to_state, from_state)->lookup_penalty(m_pos[to_pos]-m_pos[to_pos_thresh], svm_value_part2) ;
02286                 nscore= 0.5*pen_value_part1 + 0.5*pen_value_part2 ;
02287             }
02288             else
02289                 nscore = PEN.element(to_state, from_state)->lookup_penalty(m_pos[to_pos]-m_pos[from_pos], svm_value) ;
02290             
02291             if (false)//(nscore<-1e9)
02292                     SG_PRINT("is_long_transition=%i  (from_pos=%i (%i), to_pos=%i (%i)=> %1.5f\n", 
02293                         is_long_transition, m_pos[from_pos], from_state, m_pos[to_pos], to_state, nscore) ;
02294     
02295             my_scores[i] += nscore ;
02296 
02297             for (int32_t s=m_num_svms;s<m_num_lin_feat_plifs_cum[m_num_raw_data]; s++)/*set tiling plif values to neutral values (that do not influence derivative calculation)*/
02298             {
02299                 svm_value[s]=-CMath::INFTY;
02300                 svm_value_part1[s]=-CMath::INFTY;
02301                 svm_value_part2[s]=-CMath::INFTY;
02302             }
02303 
02304 #ifdef DYNPROG_DEBUG
02305             //SG_DEBUG( "%i. transition penalty: from_state=%i to_state=%i from_pos=%i [%i] to_pos=%i [%i] value=%i\n", i, from_state, to_state, from_pos, m_pos[from_pos], to_pos, m_pos[to_pos], m_pos[to_pos]-m_pos[from_pos]) ;
02306 #endif
02307             if (is_long_transition)
02308             {
02309 #ifdef DYNPROG_DEBUG
02310                 float64_t sum_score = 0.0 ;
02311 
02312                 for (int kk=0; kk<i; kk++)
02313                     sum_score += my_scores[i] ;
02314 
02315                 SG_PRINT("is_long_transition=%i  (from_pos=%i (%i), to_pos=%i (%i)=> %1.5f, %1.5f --- 1: %1.6f (%i-%i)  2: %1.6f (%i-%i) \n", 
02316                         is_long_transition, m_pos[from_pos], from_state, m_pos[to_pos], to_state, 
02317                         nscore, sum_score, 
02318                         PEN.element(to_state, from_state)->lookup_penalty(m_pos[from_pos_thresh]-m_pos[from_pos], svm_value_part1)*0.5, m_pos[from_pos], m_pos[from_pos_thresh], 
02319                         PEN.element(to_state, from_state)->lookup_penalty(m_pos[to_pos]-m_pos[to_pos_thresh], svm_value_part2)*0.5, m_pos[to_pos_thresh], m_pos[to_pos]) ;
02320 #endif
02321             }
02322 
02323             if (is_long_transition)
02324             {
02325                 PEN.element(to_state, from_state)->penalty_add_derivative(m_pos[from_pos_thresh]-m_pos[from_pos], svm_value_part1, 0.5) ;
02326                 PEN.element(to_state, from_state)->penalty_add_derivative(m_pos[to_pos]-m_pos[to_pos_thresh], svm_value_part2, 0.5) ;
02327             }
02328             else
02329                 PEN.element(to_state, from_state)->penalty_add_derivative(m_pos[to_pos]-m_pos[from_pos], svm_value, 1) ;
02330 
02331             //SG_PRINT("m_num_raw_data = %i \n", m_num_raw_data) ;
02332 
02333             // for tiling array and rna-seq data every single measurement must be added to the derivative 
02334             // in contrast to the content svm predictions where we have a single value per transition;
02335             // content svm predictions have already been added to the derivative, thus we start with d=1 
02336             // instead of d=0
02337             if (is_long_transition)
02338             {
02339                 for (int32_t d=1; d<=m_num_raw_data; d++) 
02340                 {
02341                     for (int32_t s=0;s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs;s++)
02342                         svm_value[s]=-CMath::INFTY;
02343                     float64_t* intensities = SG_MALLOC(float64_t, m_num_probes_cum[d]);
02344                     int32_t num_intensities = raw_intensities_interval_query(m_pos[from_pos], m_pos[from_pos_thresh],intensities, d);
02345                     for (int32_t k=0;k<num_intensities;k++)
02346                     {
02347                         for (int32_t j=m_num_lin_feat_plifs_cum[d-1];j<m_num_lin_feat_plifs_cum[d];j++)
02348                             svm_value[j]=intensities[k];
02349 
02350                         PEN.element(to_state, from_state)->penalty_add_derivative(-CMath::INFTY, svm_value, 0.5) ;  
02351 
02352                     }
02353                     num_intensities = raw_intensities_interval_query(m_pos[to_pos_thresh], m_pos[to_pos],intensities, d);
02354                     for (int32_t k=0;k<num_intensities;k++)
02355                     {
02356                         for (int32_t j=m_num_lin_feat_plifs_cum[d-1];j<m_num_lin_feat_plifs_cum[d];j++)
02357                             svm_value[j]=intensities[k];
02358 
02359                         PEN.element(to_state, from_state)->penalty_add_derivative(-CMath::INFTY, svm_value, 0.5) ;  
02360 
02361                     }
02362                     SG_FREE(intensities);
02363 
02364                 }
02365             }
02366             else
02367             {
02368                 for (int32_t d=1; d<=m_num_raw_data; d++) 
02369                 {
02370                     for (int32_t s=0;s<m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs;s++)
02371                         svm_value[s]=-CMath::INFTY;
02372                     float64_t* intensities = SG_MALLOC(float64_t, m_num_probes_cum[d]);
02373                     int32_t num_intensities = raw_intensities_interval_query(m_pos[from_pos], m_pos[to_pos],intensities, d);
02374                     //SG_PRINT("m_pos[from_pos]:%i, m_pos[to_pos]:%i, num_intensities:%i\n",m_pos[from_pos],m_pos[to_pos], num_intensities);
02375                     for (int32_t k=0;k<num_intensities;k++)
02376                     {
02377                         for (int32_t j=m_num_lin_feat_plifs_cum[d-1];j<m_num_lin_feat_plifs_cum[d];j++)
02378                             svm_value[j]=intensities[k];
02379 
02380                         PEN.element(to_state, from_state)->penalty_add_derivative(-CMath::INFTY, svm_value, 1) ;    
02381 
02382                     }
02383                     SG_FREE(intensities);
02384                 }
02385             }
02386 
02387         }
02388 #ifdef DYNPROG_DEBUG
02389         SG_DEBUG( "%i. scores[i]=%f\n", i, my_scores[i]) ;
02390 #endif
02391 
02392         //SG_DEBUG( "emmission penalty skipped: to_state=%i to_pos=%i value=%1.2f score=%1.2f\n", to_state, to_pos, seq_input.element(to_state, to_pos), 0.0) ;
02393         for (int32_t k=0; k<max_num_signals; k++)
02394         {
02395             if ((PEN_state_signals.element(to_state,k)==NULL)&&(k==0))
02396             {
02397 #ifdef DYNPROG_DEBUG
02398                 SG_DEBUG( "%i. emmission penalty: to_state=%i to_pos=%i score=%1.2f (no signal plif)\n", i, to_state, to_pos, seq_input.element(to_state, to_pos, k)) ;
02399 #endif
02400                 my_scores[i] += seq_input.element(to_state, to_pos, k) ;
02401                 //if (seq_input.element(to_state, to_pos, k) !=0)
02402                 //  SG_PRINT("features(%i,%i): %f\n",to_state,to_pos,seq_input.element(to_state, to_pos, k));
02403                 break ;
02404             }
02405             if (PEN_state_signals.element(to_state, k)!=NULL)
02406             {
02407                 float64_t nscore = PEN_state_signals.element(to_state,k)->lookup_penalty(seq_input.element(to_state, to_pos, k), svm_value) ; // this should be ok for long_transitions (svm_value does not matter)
02408                 my_scores[i] += nscore ;
02409 #ifdef DYNPROG_DEBUG
02410                 if (false)//(nscore<-1e9)
02411                 {
02412                     SG_PRINT("is_long_transition=%i  (from_pos=%i (%i), from_state=%i, to_pos=%i (%i) to_state=%i=> %1.5f, dim3:%i, seq_input.element(to_state, to_pos, k): %1.4f\n", 
02413                         is_long_transition, m_pos[from_pos], from_pos, from_state, m_pos[to_pos], to_pos, to_state, nscore, k, seq_input.element(to_state, to_pos, k)) ;
02414                     for (int x=0; x<23; x++)
02415                     {
02416                         for (int i=-10; i<10; i++)
02417                             SG_PRINT("%1.4f\t", seq_input.element(x, to_pos+i, k));
02418                         SG_PRINT("\n");
02419                     }
02420                     
02421                 }
02422 #endif
02423                 //break ;
02424                 //int32_t num_current_svms=0;
02425                 //int32_t svm_ids[] = {-8, -7, -6, -5, -4, -3, -2, -1};
02426                 //SG_PRINT("PEN_state_signals->id: ");
02427                 //PEN_state_signals.element(to_state, k)->get_used_svms(&num_current_svms, svm_ids);
02428                 //SG_PRINT("\n");
02429                 //if (nscore != 0)
02430                 //SG_PRINT( "%i. emmission penalty: to_state=%i to_pos=%i value=%1.2f score=%1.2f k=%i\n", i, to_state, to_pos, seq_input.element(to_state, to_pos, k), nscore, k) ;
02431 #ifdef DYNPROG_DEBUG
02432                 SG_DEBUG( "%i. emmission penalty: to_state=%i to_pos=%i value=%1.2f score=%1.2f k=%i\n", i, to_state, to_pos, seq_input.element(to_state, to_pos, k), nscore, k) ;
02433 #endif
02434                 PEN_state_signals.element(to_state,k)->penalty_add_derivative(seq_input.element(to_state, to_pos, k), svm_value, 1) ; // this should be ok for long_transitions (svm_value does not matter)
02435             } else
02436                 break ;
02437         }
02438 
02439         //#ifdef DYNPROG_DEBUG
02440         //SG_PRINT( "scores[%i]=%f (final) \n", i, my_scores[i]) ;
02441         //SG_PRINT( "losses[%i]=%f (final) , total_loss: %f \n", i, my_losses[i], total_loss) ;
02442         total_score += my_scores[i] ;
02443         total_loss += my_losses[i] ;
02444         //#endif
02445     }
02446     //#ifdef DYNPROG_DEBUG
02447     //SG_PRINT( "total score = %f \n", total_score) ;
02448     //SG_PRINT( "total loss = %f \n", total_loss) ;
02449     //#endif
02450     SG_FREE(svm_value);
02451     SG_FREE(svm_value_part1);
02452     SG_FREE(svm_value_part2);
02453 }
02454 
02455 int32_t CDynProg::raw_intensities_interval_query(const int32_t from_pos, const int32_t to_pos, float64_t* intensities, int32_t type)
02456 {
02457     ASSERT(from_pos<to_pos);
02458     int32_t num_intensities = 0;
02459     int32_t* p_tiling_pos  = &m_probe_pos[m_num_probes_cum[type-1]];
02460     float64_t* p_tiling_data = &m_raw_intensities[m_num_probes_cum[type-1]];
02461     int32_t last_pos;
02462     int32_t num = m_num_probes_cum[type-1];
02463     while (*p_tiling_pos<to_pos)
02464     {
02465         if (*p_tiling_pos>=from_pos)
02466         {
02467             intensities[num_intensities] = *p_tiling_data;
02468             num_intensities++;
02469         }
02470         num++;
02471         if (num>=m_num_probes_cum[type])
02472             break;
02473         last_pos = *p_tiling_pos;
02474         p_tiling_pos++;
02475         p_tiling_data++;
02476         ASSERT(last_pos<*p_tiling_pos);
02477     }
02478     return num_intensities;
02479 }
02480 
02481 void CDynProg::lookup_content_svm_values(const int32_t from_state, const int32_t to_state, const int32_t from_pos, const int32_t to_pos, float64_t* svm_values, int32_t frame)
02482 {
02483 #ifdef DYNPROG_TIMING_DETAIL
02484     MyTime.start() ;
02485 #endif
02486 //  ASSERT(from_state<to_state);
02487 //  if (!(from_pos<to_pos))
02488 //      SG_ERROR("from_pos!<to_pos, from_pos: %i to_pos: %i \n",from_pos,to_pos);
02489     for (int32_t i=0;i<m_num_svms;i++)
02490     {
02491         float64_t to_val   = m_lin_feat.get_element(i, to_state);
02492         float64_t from_val = m_lin_feat.get_element(i, from_state);
02493         svm_values[i] = (to_val-from_val)/(to_pos-from_pos);
02494     }
02495     for (int32_t i=m_num_svms;i<m_num_lin_feat_plifs_cum[m_num_raw_data];i++)
02496     {
02497         float64_t to_val   = m_lin_feat.get_element(i, to_state);
02498         float64_t from_val = m_lin_feat.get_element(i, from_state);
02499         svm_values[i] = to_val-from_val ;
02500     }
02501     if (m_intron_list)
02502     {
02503         int32_t* support = SG_MALLOC(int32_t, m_num_intron_plifs);
02504         m_intron_list->get_intron_support(support, from_state, to_state);
02505         int32_t intron_list_start = m_num_lin_feat_plifs_cum[m_num_raw_data];
02506         int32_t intron_list_end = m_num_lin_feat_plifs_cum[m_num_raw_data]+m_num_intron_plifs; 
02507         int32_t cnt = 0;
02508         for (int32_t i=intron_list_start; i<intron_list_end;i++)
02509         {
02510             svm_values[i] = (float64_t) (support[cnt]);
02511             cnt++;
02512         }
02513         //if (to_pos>3990 && to_pos<4010)
02514         //  SG_PRINT("from_state:%i to_state:%i support[0]:%i support[1]:%i\n",from_state, to_state, support[0], support[1]);
02515         SG_FREE(support);
02516     }
02517     // find the correct row with precomputed frame predictions
02518     if (frame!=-1)
02519     {
02520         svm_values[frame_plifs[0]] = 1e10;
02521         svm_values[frame_plifs[1]] = 1e10;
02522         svm_values[frame_plifs[2]] = 1e10;
02523         int32_t global_frame = from_pos%3;
02524         int32_t row = ((global_frame+frame)%3)+4;
02525         float64_t to_val   = m_lin_feat.get_element(row, to_state);
02526         float64_t from_val = m_lin_feat.get_element(row, from_state);
02527         svm_values[frame+frame_plifs[0]] = (to_val-from_val)/(to_pos-from_pos);
02528     }
02529 #ifdef DYNPROG_TIMING_DETAIL
02530     MyTime.stop() ;
02531     content_svm_values_time += MyTime.time_diff_sec() ;
02532 #endif
02533 }
02534 void CDynProg::set_intron_list(CIntronList* intron_list, int32_t num_plifs)
02535 {
02536     m_intron_list = intron_list;
02537     m_num_intron_plifs = num_plifs;
02538 }
02539 
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SHOGUN Machine Learning Toolbox - Documentation