コード例 #1
0
ファイル: pp.c プロジェクト: probar/kppd
int write_pa_v2(int hue, int sat, int val, int cont)
{
	struct msmfb_mdp_pp pp;

	memset(&pp, 0, sizeof(struct msmfb_mdp_pp));

	pp.op = mdp_op_pa_v2_cfg;
	pp.data.pa_v2_cfg_data.block = MDP_LOGICAL_BLOCK_DISP_0;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags =
		MDP_PP_OPS_WRITE | MDP_PP_OPS_ENABLE;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_HUE_ENABLE;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_HUE_MASK;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_SAT_ENABLE;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_SAT_MASK;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_VAL_ENABLE;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_VAL_MASK;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_CONT_ENABLE;
	pp.data.pa_v2_cfg_data.pa_v2_data.flags |= MDP_PP_PA_CONT_MASK;
	pp.data.pa_v2_cfg_data.pa_v2_data.global_hue_adj = hue;
	pp.data.pa_v2_cfg_data.pa_v2_data.global_sat_adj = sat;
	pp.data.pa_v2_cfg_data.pa_v2_data.global_val_adj = val;
	pp.data.pa_v2_cfg_data.pa_v2_data.global_cont_adj = cont;

	write_pp(&pp);

	return 0;
}
コード例 #2
0
ファイル: pp.c プロジェクト: probar/kppd
int write_pcc(int red, int green, int blue, int invert)
{
	struct msmfb_mdp_pp pp;

	memset(&pp, 0, sizeof(struct msmfb_mdp_pp));

	pp.op = mdp_op_pcc_cfg;
	pp.data.pcc_cfg_data.block = MDP_LOGICAL_BLOCK_DISP_0;
	pp.data.pcc_cfg_data.ops = MDP_PP_OPS_WRITE | MDP_PP_OPS_ENABLE;
	pp.data.pcc_cfg_data.r.r = red * 128;
	pp.data.pcc_cfg_data.g.g = green * 128;
	pp.data.pcc_cfg_data.b.b = blue * 128;

	if (invert) {
		pp.data.pcc_cfg_data.r.c = pp.data.pcc_cfg_data.g.c =
			pp.data.pcc_cfg_data.b.c = 0x7ff8;
		pp.data.pcc_cfg_data.r.r |= (0xffff << 16);
		pp.data.pcc_cfg_data.g.g |= (0xffff << 16);
		pp.data.pcc_cfg_data.b.b |= (0xffff << 16);
	}

	write_pp(&pp);

	return 0;
}
コード例 #3
0
ファイル: pp.c プロジェクト: probar/kppd
int write_pa(int hue, int sat, int val, int cont)
{
	struct msmfb_mdp_pp pp;

	memset(&pp, 0, sizeof(struct msmfb_mdp_pp));

	pp.op = mdp_op_pa_cfg;
	pp.data.pa_cfg_data.block = MDP_LOGICAL_BLOCK_DISP_0;
	pp.data.pa_cfg_data.pa_data.flags = MDP_PP_OPS_WRITE | MDP_PP_OPS_ENABLE;
	pp.data.pa_cfg_data.pa_data.hue_adj = hue;
	pp.data.pa_cfg_data.pa_data.sat_adj = sat;
	pp.data.pa_cfg_data.pa_data.val_adj = val;
	pp.data.pa_cfg_data.pa_data.cont_adj = cont;

	write_pp(&pp);

	return 0;
}
コード例 #4
0
ファイル: grav.cpp プロジェクト: cjbayesian/grav_mod
int main(int argc,char *argv[])
{
 	// decode arguments
	args(argc,argv);
   inits();
   if(run_type==6)
      to_year=2010;

    // Read in Data // 
    cout<< "Reading Data\n";
    read_data();

    // Set initial Params //
    cout<< "Initiallizing...\n";
    init_state();
    init_t(); 
    calc_state();

   if(fixed_d != 0) //run traf_mat once and only once (for faster prototyping)
   {
      calc_traf();
       /* _vbc_vec<float> Uj(1,n_lakes);
        for(int j=1;j<=n_lakes;j++)
        {
            Uj(j) = 0;
            for(int i=1;i<=n_sources;i++)
            {
                Uj(j) += sources(i).Gij(j) * sources(i).Oi;
            }
            cout << Uj(j) << "\t" <<  1-exp(- pow(0.001 * Uj(j), 1 ) ) << "\n";
        }

      */
      calc_traf_mat();
      calc_pp();
   }

   ofstream ll_("output/ll_test.dat");
   if(FALSE)
   {
      calc_traf();
      calc_traf_mat();
      calc_pp(); //!!
      int tmp_t;
       for(int lake=1;lake<=n_lakes;lake++)
       {
           if(lakes(lake).invaded == 0 && lakes(lake).last_abs == 0 )
           {
               for(int t=from_year;t<=to_year+2;t++)
               {
                   // sample_t();
                   tmp_t=t_vec(lake);
                   t_vec(lake)=t;
                   calc_state();
                   calc_pp();
                   cout << lake << "\t" << t <<endl;
                   ll_ << lake << "\t" << t <<"\t"<<l_hood()<<endl;
               }
               t_vec(lake)=tmp_t;
           }
       }
   }

   if(FALSE) // likelihood profile of d and e //if init_t is random, MLE d=e=0 (no effect of distance or size: CHECK)
   {
       d_par=-1;
       e_par=0;
       for(int i=0;i<=60;i++)
       {
           d_par=d_par+0.1;
           e_par=0;
           for(int j=0;j<=10;j++)
           {
           e_par=e_par + 0.1;
           calc_traf();
           calc_traf_mat();
           calc_pp();
           ll_ << d_par << "\t" << e_par << "\t" << l_hood()<< endl;
           cout <<  d_par <<"\t"<< e_par << "\t" << l_hood()<< endl;
           }
       }
   }
   if(FALSE) //likelihood profile of alpha
   { 
      chem_pars(1)=0;
       for(int i=0;i<=1000;i++)
       {
           chem_pars(1)+=0.0001;
           ll_ << chem_pars(1) << "\t" << l_hood()<< endl;
       }
   }

   //Just sim under the true alpha to see the t_vec distribution
   // to compare with sim_dat.R
   if(FALSE)
   {
       for(int lake_index=1;lake_index<=n_lakes;lake_index++)
       {
           lakes(lake_index).discovered=0;
           lakes(lake_index).last_abs=0;
       }
       for(int i=1;i<=1000;i++)
       {
           sim_spread();
           write_t();
       }
   }



   /// SEEDS ///
//i       d        e           c     B_o       NAUT        KKUT      MGUT
//8394 1.06513 0.531416 0.000125572 -13.713 0.00405104 -0.00475339 0.0038181
//      CAUT     PPUT1  SIO3UR      DOC       COLTR     ALKTI         ALKT
//0.00403173 0.0571088 1.28896 -0.31447 -0.00654376 0.0621327 -0.000480646
//        PH     COND25 SECCHI.DEPTH       NA
//0.00852002 0.00335544    0.0995729 -380.192

//0.407766	1.44137	0.417034	-10.8476	0.708086 -0.0150081	-0.404532	-0.512538	0.689779	0.43177-0.584563	-0.224491	0.786624	1.0269	0.868935	-0.0982729	0.37267

   chem_pars(1)=-10;
   chem_pars(2)=0.7;
   chem_pars(3)=-0.01; //-2:1 MLE ~0
   chem_pars(4)=-0.38; //-1.5:1.5 MLE ~0
   chem_pars(5)=-0.5; //-0.4:0.2 MLE ~0
   chem_pars(6)=0.68; //0:0.1 MLE 0.05    ***
   chem_pars(7)=0.43; //-0.4:0.2 MLE ~1.3  **** 
   chem_pars(8)=-0.58; //-0.7:0.1 MLE ~-0.31 ****
   chem_pars(9)=-0.22; //-0.4:0.2 MLE ~-0.01 **
   chem_pars(10)=0.78; //-0.1:0.1 MLE ~0.06 *
   chem_pars(11)=1.02; //-0.16:0.1 MLE ~0
   chem_pars(12)=0.85; //-0.2:0.2 MLE ~0
   chem_pars(13)=-0.09; //-0.04:0.01 MLE ~0
   chem_pars(14)=0.37; //-0.3:0.3 MLE ~0.1

   int test_ch=14;
   d_par=1.54;
   //float bb = l_hood();

   if(ll)
   {
       float tmplhood;
       for(int i=1;i<=20;i++)
       {
          cerr << i << "\n";
           //chem_pars(test_ch)=chem_pars(test_ch)+0.0013;
           d_par=d_par+0.05;
           calc_traf();
          cerr << "A" << "\n";
           calc_traf_mat();
          cerr << "B" << "\n";

           sim_spread();
          cerr << "C" << "\n";
           //write_t();
           tmplhood = l_hood();
          cerr << "D" << "\n";
           ll_ << chem_pars(test_ch) << "\t" << tmplhood << "\n";
           cout << d_par << "\t" << tmplhood << "\n";

       }
   }

   ll_.close();

cout << "# sampled\t" << n_sampled << "\n";

if(run_type==1)
{
   // FIT ON TRAF_PARS & SPREAD PARS ONLY (NO ENV) //
   // need a likelihood function wrapper to call l_hood() multiple times and average the result
   // to smooth out stochastic surface.
   // BOOTSTRAP RESAMPLING OF DATA (SAMPLED LAKES) TO GENERATE CI //

   float garbage=l_hood();
   int n_reps = 1000;
   ofstream par_file;

   int n_pars; //13 env + intercept + d,c,gamma
   _vbc_vec<float> params1;
   _vbc_vec<float> dat1;
   _vbc_vec<float> MLE_params;
   if(!env)
   {
      if(sim)
        par_file.open("sims/gb_output/pred_pars.tab");
      else
        par_file.open("output/pred_pars.tab");    
      n_pars=4;  // d,c,gamma,alpha
      params1.redim(1,n_pars);
      dat1.redim(1,n_pars);
      MLE_params.redim(1,n_pars);
      params1(1)=1.27;
      params1(2)=1.48;
      params1(3)=0.0000489;
      params1(4)=0.00105;  
   }else{
      if(sim)        
          par_file.open("sims/gb_output/pred_parsENV.tab");
      else
          par_file.open("output/pred_parsENV.tab");
      n_pars=18; //13 env + intercept + d,e,c,gamma
      params1.redim(1,n_pars);
      dat1.redim(1,n_pars);
      MLE_params.redim(1,n_pars);
      params1(1)=1.79;
      params1(2)=2;
      params1(3)=0.69;
      params1(4)=0.0000489;   

      /// SEEDS ///
      params1(5)=-6.2;
      params1(6)=0.014;
      params1(7)=-0.08; //-2:1 MLE ~0
      params1(8)=0.15; //-1.5:1.5 MLE ~0
      params1(9)=0.21; //-0.4:0.2 MLE ~0
      params1(10)=0.03; //0:0.1 MLE 0.05    ***
      params1(11)=-0.13; //-0.4:0.2 MLE ~1.3  **** 
      params1(12)=-0.43; //-0.7:0.1 MLE ~-0.31 ****
      params1(13)=-0.007; //-0.4:0.2 MLE ~-0.01 **
      params1(14)=0.056; //-0.1:0.1 MLE ~0.06 *
      params1(15)=0.0087; //-0.16:0.1 MLE ~0
      params1(16)=0.081; //-0.2:0.2 MLE ~0
      params1(17)=-0.015; //-0.04:0.01 MLE ~0
      params1(18)=0.013; //-0.3:0.3 MLE ~0.1
   }

   _vbc_vec<int> tmp_index_sampled;
   tmp_index_sampled = sampled_index;


   if(boot)
   {
      ofstream boot_file;
      if(sim)
          boot_file.open("sims/gb_output/boot_lakes.tab");
      else
          boot_file.open("output/boot_lakes.tab");    
      for(int i=1;i<=n_reps;i++)
      {
         //Bootstrap resample //
         sampled_index = sample_w_replace(tmp_index_sampled);
         for(int j=1;j<=n_sampled;j++)
            boot_file << sampled_index(j) << "\t";
         boot_file << "\n";
         boot_file.flush();
         // --- //

         simplex::clsSimplex<float> gertzen_rep;
         //gertzen_rep.set_param_small(1e-3);
         gertzen_rep.start(&dat1,&params1, &MLE_l_hood,n_pars, 1e-2);
         gertzen_rep.getParams(&MLE_params);

         cout << "\n\nMLE "<< i << " of " << n_reps << "\n\n";
         for(int p=1;p<=n_pars;p++)
            par_file << MLE_params(p) <<"\t";
         par_file << "\n";
         par_file.flush();
      }
      boot_file.close();
   }else{
      simplex::clsSimplex<float> gertzen_rep;
      //gertzen_rep.set_param_small(1e-3);
      gertzen_rep.start(&dat1,&params1, &MLE_l_hood,n_pars, 1e-2);
      gertzen_rep.getParams(&MLE_params);

      cout << "\n\nMLE\n";
      for(int p=1;p<=n_pars;p++)
         par_file << MLE_params(p) <<"\t";
      par_file << "\n";
      par_file.flush();

      // Print out distribution of alpha values at MLE
      ofstream alphas_file;
      alphas_file.open("output/alphas.tab",std::fstream::app);
      for(int i=1;i<=n_lakes;i++)
      {
        alphas_file << calc_alpha(i) << "\n";
      }
      alphas_file.close();
   }
   par_file.close();

}



if(run_type==2)
{
   //MCMC lib
	string mcmc_file("output/lib.mcmc");
   if(env)
   {
      _vbc_vec<float> params(1,4+n_chem_var);
      _vbc_vec<float> prop_width(1,4+n_chem_var,1,4+n_chem_var);
      prop_width(1)=0.05;
      prop_width(2)=0.05;
      prop_width(3)=0.05;

      params(1)=0.4;
      params(2)=1.4;
      params(3)=0.42;   
      for(int i=1;i<=n_chem_var+1;i++)
      {
         prop_width(i+3)=0.0001;
         params(i+3)=chem_pars(i);
      }
      prop_width(4)=0.1;

      _vbc_vec<float> prop_sigma;
      prop_sigma = diag(prop_width);

      // Print out prop_sigma
      for(int i=1;i<=n_chem_var+4;i++)
      {
         for(int j=1;j<=n_chem_var+4;j++)   
            cout << prop_sigma(i,j) << " | ";
         cout << "\n";
      }
     
      mcmcMD::run_mcmc(params, 
         prop_sigma, 
         &likelihood_wrapperMCMC_MD,
         &prior_MD, 
         &restrict_MCMC_MD, 
         50000, 
         50, 
         1, 
         mcmc_file.c_str(),
         true,
         true,
         true,
         500,
         4);
   }else
   {
   /// No env.
      _vbc_vec<float> params(1,4);
      _vbc_vec<float> prop_width(1,4,1,4);
      prop_width(1)=0.05;
      prop_width(2)=0.05;
      prop_width(3)=0.000001;
      prop_width(4)=0.00001;


      params(1)=1.27;
      params(2)=1.48;
      params(3)=0.0000489;
      params(4)=0.00105;      

      _vbc_vec<float> prop_sigma;
      prop_sigma = diag(prop_width);

      // Print out prop_sigma
      for(int i=1;i<=4;i++)
      {
         for(int j=1;j<=4;j++)   
            cout << prop_sigma(i,j) << " | ";
         cout << "\n";
      }
     
      mcmcMD::run_mcmc(params, 
         prop_sigma, 
         &likelihood_wrapperMCMC_MD,
         &prior_MD, 
         &restrict_MCMC_MD, 
         500000, 
         1, 
         1, 
         mcmc_file.c_str(),
         true,
         true,
         true,
         500,
         5);
   }


/*	mcmcMD::run_mcmc(pms, 
      props, 
      &like, 
      &prior, 
      &restrictions, 
      500000, 
      1, 
      100, 
      file_name.c_str(),
      TRUE,
      TRUE,
      1000);
*/
}


/// Sim from posterior ///
if(run_type==3)
   sim_spread_posterior();

/// Traf tests ////
if(run_type==4)
{
   ofstream traf_ll_file("output/traf_ll.dat");

   d_par=1.54;
   e_par=2;
   c_par=0.8;
   calc_traf();
   calc_traf_mat();
   calc_pp();
   sim_spread();
   cout << l_hood() <<"\n";
   
    /*
    for(int i=1;i<=70;i++)
    {
        e_par=e_par+0.05;
        cout << e_par << "\t";
        calc_traf();
        calc_traf_mat();
        calc_pp();
        sim_spread();
        traf_ll_file << e_par  << "\t" << l_hood()  << "\n"; 
        cout << l_hood() <<"\t";
        sim_spread();
        traf_ll_file << e_par  << "\t" << l_hood()  << "\n"; 
        cout << l_hood() <<"\t";
        sim_spread();
        traf_ll_file << e_par  << "\t" << l_hood()  << "\n"; 
        cout << l_hood() <<"\n";
        traf_ll_file << e_par  << "\t" << l_hood()  << "\n"; 
    }


   for(int i=1;i<=10;i++)
   {
      e_par=e_par+0.2;
      c_par=0.8;
         calc_traf();
         calc_traf_mat();
         calc_pp();
      for(int j = 1;j<=10;j++)
      {
         c_par=c_par+0.2;
         glb_alpha=0; //from MLE
         for(int k=1;k<=500;k++)
         {
            glb_alpha=glb_alpha+0.00001;
            sim_spread();
            sim_spread();
            sim_spread();
            cout << e_par << "\t" << c_par << "\t" << glb_alpha << "\t" << l_hood()  << "\n"; 
            traf_ll_file << e_par << "\t" << c_par << "\t" << glb_alpha << "\t" << l_hood()  << "\n"; 
         }
      }
   } 
    */
   traf_ll_file.close();
   calc_pp();
   write_pp(); 
   write_inv_stat();
}

/// Holdout sets for internal AUC ////
if(run_type==5)
{  
   int n_pars=4;
   _vbc_vec<float>params1(1,n_pars); 

   // Read parameters values from file //
   ifstream pred_pars;
   if(sim)
       pred_pars.open("sims/gb_output/pred_pars.tab");
   else
       pred_pars.open("output/pred_pars.tab");
   for(int j=1;j<=n_pars;j++)
      pred_pars >> params1(j);

   pred_pars.close();
   // -- //

   d_par=params1(1);
   e_par = 1;
   c_par=params1(2);
   gamma_par=params1(3);
   glb_alpha=params1(4);

   calc_traf();
   calc_traf_mat();
   //write_traf_mat();

   //Sub-sample a holdout set from sampled lakes (pre-2010)
   int n_sub_sampled = 100,choose_from=0;
   _vbc_vec<int> index_2006_big(1,n_lakes);
   for(int i = 1; i<=n_lakes;i++)
   {
      if( (lakes(i).last_abs==2006 || lakes(i).discovered == 2006) )
      {
         choose_from += 1;
         index_2006_big(choose_from)=i;
      }
   }
   _vbc_vec<int> index_2006(1,choose_from);
   for(int i = 1; i<=choose_from;i++)
      index_2006(i)=index_2006_big(i);

   
   ofstream prop_holdout_file;
   prop_holdout_file.open("output/holdout_sim_props.csv");
   ofstream holdout_inv_file("output/holdout2006_data_status.csv");

   _vbc_vec<int> holdout_inv_status(1,n_sub_sampled);
   _vbc_vec<int> indicies_holdout(1,n_sub_sampled);
   _vbc_vec<int> tmp_discovered(1,n_sub_sampled);
   _vbc_vec<int> tmp_last_abs(1,n_sub_sampled);

   cout << "Total 2006 lakes to choose from " << choose_from << "\n";
   for(int rep=1;rep<=50;rep++)
   {
      indicies_holdout = sample_wo_replace(index_2006,n_sub_sampled);

      //Record the year_discovered of holdoutset
      for(int i = 1; i<=n_sub_sampled;i++)
      {
         if(lakes(indicies_holdout(i)).discovered == 2006)
            holdout_inv_status(i) = 1;
         else
            holdout_inv_status(i) = 0;

         //write year discovered 
         if(i == n_sub_sampled)
            holdout_inv_file << holdout_inv_status(i) << "\n";
         else
            holdout_inv_file << holdout_inv_status(i) << ",";


         //save last_abs and discoved
         tmp_discovered(i) = lakes(indicies_holdout(i)).discovered;
         tmp_last_abs(i) = lakes(indicies_holdout(i)).last_abs;

         //remove year discovered
         lakes(indicies_holdout(i)).discovered = 0;
         lakes(indicies_holdout(i)).last_abs = 0;
      }   
      
      //SIM SPREAD
      _vbc_vec<float> prop_holdout_invaded(1,n_sub_sampled);
      for(int i=1;i<=n_sub_sampled;i++)
         prop_holdout_invaded(i) = 0;
      int n_sims=1000;
      for(int s=1; s<= n_sims; s++)
      {
         sim_spread();
         for(int i=1;i<=n_sub_sampled;i++)
         {
            if(t_vec(indicies_holdout(i)) <= 2006)
               prop_holdout_invaded(i) += 1;
         }
      }
      //write prop inv
      for(int i=1;i<=n_sub_sampled;i++)
      {
         prop_holdout_invaded(i) = prop_holdout_invaded(i)/n_sims;
         if(i < n_sub_sampled)
            prop_holdout_file << prop_holdout_invaded(i) << ",";
         else
            prop_holdout_file << prop_holdout_invaded(i) << "\n";

         //reset last_abs and discoved
         lakes(indicies_holdout(i)).discovered = tmp_discovered(i);
         lakes(indicies_holdout(i)).last_abs = tmp_last_abs(i);
      }
   }
   holdout_inv_file.close();
   prop_holdout_file.close();
}