/******************************************************************************
 * multitry_kway_fm.cpp 
 *
 * Source of KaHIP -- Karlsruhe High Quality Partitioning.
 *****************************************************************************/

#include <algorithm>
#include <unordered_map>

#include "kway_graph_refinement_core.h"
#include "kway_stop_rule.h"
#include "multitry_kway_fm.h"
#include "quality_metrics.h"
#include "random_functions.h"
#include "uncoarsening/refinement/quotient_graph_refinement/2way_fm_refinement/vertex_moved_hashtable.h"

multitry_kway_fm::multitry_kway_fm() {
}

multitry_kway_fm::~multitry_kway_fm() {

}

int multitry_kway_fm::perform_refinement(PartitionConfig & config, graph_access & G, 
                                         complete_boundary & boundary, unsigned rounds, 
                                         bool init_neighbors, unsigned alpha) {
        
        commons = kway_graph_refinement_commons::getInstance(config);
        
        unsigned tmp_alpha                = config.kway_adaptive_limits_alpha;
        KWayStopRule tmp_stop             = config.kway_stop_rule;
        config.kway_adaptive_limits_alpha = alpha;
        config.kway_stop_rule             = KWAY_ADAPTIVE_STOP_RULE;

        int overall_improvement = 0;
        for( unsigned i = 0; i < rounds; i++) {
                boundary_starting_nodes start_nodes;
                boundary.setup_start_nodes_all(G, start_nodes);
                if(start_nodes.size() == 0) {  
                        return 0; 
                }// nothing to refine

                //now we do something with the start nodes
                //convert it into a list
                std::vector<NodeID> todolist;
                for(unsigned i = 0; i < start_nodes.size(); i++) {
                        todolist.push_back(start_nodes[i]);
                }

                std::unordered_map<PartitionID, PartitionID> touched_blocks;
                EdgeWeight improvement = start_more_locallized_search(config, G,  boundary, 
                                                                      init_neighbors, false, touched_blocks, 
                                                                      todolist);
                if( improvement == 0 ) break;
                overall_improvement += improvement;

        }

        ASSERT_TRUE(overall_improvement >= 0);

        config.kway_adaptive_limits_alpha = tmp_alpha;
        config.kway_stop_rule             = tmp_stop;

        return (int) overall_improvement;
        
}

int multitry_kway_fm::perform_refinement_around_parts(PartitionConfig & config, graph_access & G, 
                                                      complete_boundary & boundary, bool init_neighbors, 
                                                      unsigned alpha, 
                                                      PartitionID & lhs, PartitionID & rhs, 
                                                      std::unordered_map<PartitionID, PartitionID> & touched_blocks) {
        commons = kway_graph_refinement_commons::getInstance(config);

        unsigned tmp_alpha                = config.kway_adaptive_limits_alpha;
        KWayStopRule tmp_stop             = config.kway_stop_rule;
        config.kway_adaptive_limits_alpha = alpha;
        config.kway_stop_rule             = KWAY_ADAPTIVE_STOP_RULE;
        int overall_improvement           = 0;

        for( unsigned i = 0; i < config.local_multitry_rounds; i++) {
                boundary_starting_nodes start_nodes;
                boundary.setup_start_nodes_around_blocks(G, lhs, rhs, start_nodes);
                
                if(start_nodes.size() == 0) {  return 0; }// nothing to refine

                //now we do something with the start nodes
                std::vector<NodeID> todolist;
                for(unsigned i = 0; i < start_nodes.size(); i++) {
                        todolist.push_back(start_nodes[i]);
                }

                EdgeWeight improvement = start_more_locallized_search(config, G,  boundary, 
                                                                      init_neighbors, true, 
                                                                      touched_blocks, todolist);
                if( improvement == 0 ) break;
                
                overall_improvement += improvement;
        }

        config.kway_adaptive_limits_alpha = tmp_alpha;
        config.kway_stop_rule             = tmp_stop;
        ASSERT_TRUE(overall_improvement >= 0);
        return (int) overall_improvement;
}

int multitry_kway_fm::start_more_locallized_search(PartitionConfig & config, graph_access & G, 
                                                   complete_boundary & boundary, bool init_neighbors, 
                                                   bool compute_touched_blocks, 
                                                   std::unordered_map<PartitionID, PartitionID> & touched_blocks, 
                                                   std::vector<NodeID> & todolist) {

        random_functions::permutate_vector_good(todolist, false);
        commons = kway_graph_refinement_commons::getInstance(config);
        
        kway_graph_refinement_core refinement_core;
        int local_step_limit = 0;

        vertex_moved_hashtable moved_idx;
        unsigned idx            = todolist.size()-1;
        int overall_improvement = 0;
        
        while(!todolist.empty()) {
                int random_idx = random_functions::nextInt(0, idx);
                NodeID node = todolist[random_idx]; 

                PartitionID maxgainer;
                EdgeWeight extdeg = 0;
                commons->compute_gain(G, node, maxgainer, extdeg);

                if(moved_idx.find(node) == moved_idx.end() && extdeg > 0) { 
                        boundary_starting_nodes real_start_nodes;
                        real_start_nodes.push_back(node);

                        if(init_neighbors) {
                                forall_out_edges(G, e, node) {
                                        NodeID target = G.getEdgeTarget(e);
                                        if(moved_idx.find(target) == moved_idx.end()) {
                                                extdeg = 0;                                        
                                                commons->compute_gain(G, target, maxgainer, extdeg);
                                                if(extdeg > 0) {
                                                        real_start_nodes.push_back(target);
                                                }
                                        }
                                } endfor
                        }        
                        int improvement = 0;
                        if(compute_touched_blocks) {
                                improvement = refinement_core.single_kway_refinement_round(config, G, 
                                                                                           boundary, real_start_nodes, 
                                                                                           local_step_limit, moved_idx, 
                                                                                           touched_blocks);
                                if(improvement < 0) {
                                        std::cout <<  "buf error improvement < 0"  << std::endl;
                                }
                        } else {
                                improvement = refinement_core.single_kway_refinement_round(config, G, 
                                                                                           boundary, real_start_nodes, 
                                                                                           local_step_limit, moved_idx);
                                if(improvement < 0) {
                                        std::cout <<  "buf error improvement < 0"  << std::endl;
                                }
                        }

                        overall_improvement += improvement;

                }

                if(moved_idx.size() > 0.05*G.number_of_nodes()) break;
                std::swap(todolist[random_idx], todolist[idx--]); todolist.pop_back();
        }

        return overall_improvement;
}

