20466750017

Committed 23 Dec 2025 04:59PM UTC coverage: 70.389% (+0.06%) from 70.326%

Build # 20466750017

Build Type

Pull #99

github

Committed by

web-flow

Commit Message

Merge 14922f4cb into e829d16b1

Pull Request Pull Request #99: Fix/enhance hunt mark poison barrier

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85.04

/algorithms.cpp

#include <iostream>
#include <vector>

#include "algorithms_util.h"

using namespace tuo;

inline bool try_improve_deck(Deck* d1, unsigned from_slot, unsigned to_slot, const Card* card_candidate,
                const Card*& best_commander, const Card*& best_alpha_dominion, std::vector<const Card*>& best_cards,
                FinalResults<long double>& best_score, unsigned& best_gap, std::string& best_deck,
                std::unordered_map<std::string, EvaluatedResults>& evaluated_decks, EvaluatedResults& zero_results,
                unsigned long& skipped_simulations, Process& proc, bool print
#ifndef NQUEST
                , Quest & quest
#endif
        )
{
        unsigned deck_cost(0);
        std::vector<std::pair<signed, const Card *>> cards_out, cards_in;
        std::mt19937& re = proc.threads_data[0]->re;

        // setup best deck
        d1->commander = best_commander;
        d1->alpha_dominion = best_alpha_dominion;
        d1->cards = best_cards;

        // try to adjust the deck
        if (!adjust_deck(d1, from_slot, to_slot, card_candidate, fund, re, deck_cost, cards_out, cards_in))
        { return false; }

        // check gap
        unsigned new_gap = check_requirement(d1, requirement
#ifndef NQUEST
                        , quest
#endif
                        );
        if ((new_gap > 0) && (new_gap >= best_gap))
        { return false; }

        // check previous simulations
        auto && cur_deck = d1->hash();
        auto && emplace_rv = evaluated_decks.insert({cur_deck, zero_results});
        auto & prev_results = emplace_rv.first->second;
        if (!emplace_rv.second)
        {
                skipped_simulations += prev_results.second;
        }

        // Evaluate new deck
        auto compare_results = proc.compare(best_score.n_sims, prev_results, best_score);
        auto current_score = compute_score(compare_results, proc.factors);

        // Is it better ?
        if (new_gap < best_gap || current_score.points > best_score.points + min_increment_of_score)
        {
                // Then update best score/slot, print stuff
                if(print)std::cout << "Deck improved: " << d1->hash() << ": " << card_slot_id_names(cards_out) << " -> " << card_slot_id_names(cards_in) << ": ";
                best_gap = new_gap;
                best_score = current_score;
                best_deck = cur_deck;
                best_commander = d1->commander;
                best_alpha_dominion = d1->alpha_dominion;
                best_cards = d1->cards;
                if(print)print_score_info(compare_results, proc.factors);
                if(print)print_deck_inline(deck_cost, best_score, d1);
                return true;
        }

        return false;
}
//------------------------------------------------------------------------------
/*
 * Calc value of current set deck in d1 (proc.your_decks[0])
 */
inline FinalResults<long double> fitness(Deck* d1,
                FinalResults<long double>& best_score,
                std::unordered_map<std::string, EvaluatedResults>& evaluated_decks, EvaluatedResults& zero_results,
                unsigned long& skipped_simulations, Process& proc, bool compare = false)
{

        // check previous simulations
        auto && cur_deck = d1->hash();
        //std::cout << "Deck hash: " << d1->hash() << " with ";
        auto && emplace_rv = evaluated_decks.insert({cur_deck, zero_results});
        auto & prev_results = emplace_rv.first->second;
        if (!emplace_rv.second)
        {
                skipped_simulations += prev_results.second;
        }

        // Evaluate new deck
        if (compare) {
                auto compare_results= proc.compare(best_score.n_sims, prev_results,best_score);
                auto current_score = compute_score(compare_results, proc.factors);
                return current_score;
        }
        else
        {
                auto compare_results= proc.evaluate(best_score.n_sims, prev_results);
                auto current_score = compute_score(compare_results, proc.factors);

                //best_score = current_score;
                //auto best_deck = d1->clone();
                //print_score_info(compare_results, proc.factors);
                //print_deck_inline(get_deck_cost(best_deck), best_score, best_deck);
                return current_score;
        }
}
//------------------------------------------------------------------------------
Deck* filter_best_deck(std::vector<Deck*> your_decks, Deck* d1,
                FinalResults<long double>& best_score,
                std::unordered_map<std::string, EvaluatedResults>& evaluated_decks, EvaluatedResults& zero_results,
                unsigned long& skipped_simulations, Process& proc) {
        Deck * cur_return = your_decks[0];
        FinalResults<long double> cur_score;
        for(unsigned i=1;i < your_decks.size();++i) //start with 1 since first always is simmed already
        {
                copy_deck(your_decks[i],d1);
                cur_score = fitness(d1, best_score, evaluated_decks, zero_results, skipped_simulations, proc,true);
                if(cur_score.points > best_score.points)
                {
                        cur_return = your_decks[i];
                        best_score = cur_score;

                        std::cout << "Deck improved: " << d1->hash() <<":";
                        print_deck_inline(get_deck_cost(d1), best_score,d1);
                }
        }
        return cur_return;
}

//------------------------------------------------------------------------------
DeckResults hill_climbing(unsigned num_min_iterations, unsigned num_iterations, std::vector<Deck*> your_decks , Process& proc, Requirement & requirement
#ifndef NQUEST
                , Quest & quest
#endif
                )
{
        Deck * d1 = proc.your_decks[0];
        EvaluatedResults zero_results = { EvaluatedResults::first_type(proc.enemy_decks.size()), 0 };
        std::string best_deck = d1->hash();
        std::unordered_map<std::string, EvaluatedResults> evaluated_decks{{best_deck, zero_results}};
        EvaluatedResults& results = proc.evaluate(num_min_iterations, evaluated_decks.begin()->second);
        print_score_info(results, proc.factors);
        FinalResults<long double> best_score = compute_score(results, proc.factors);
        unsigned long skipped_simulations = 0;

        // use the best deck from all passed decks
        copy_deck(filter_best_deck(your_decks, d1, best_score, evaluated_decks, zero_results, skipped_simulations, proc),d1);

        // update freezed_cards
        freezed_cards = std::min<unsigned>(opt_freezed_cards, d1->cards.size());
        const Card* best_commander = d1->commander;
        const Card* best_alpha_dominion = d1->alpha_dominion;
        std::vector<const Card*> best_cards = d1->cards;
        unsigned deck_cost = get_deck_cost(d1);
        fund = std::max(fund, deck_cost);
        print_deck_inline(deck_cost, best_score, d1,true);
        std::mt19937& re = proc.threads_data[0]->re;
        unsigned best_gap = check_requirement(d1, requirement
#ifndef NQUEST
                        , quest
#endif
                        );
        bool is_random = (d1->strategy == DeckStrategy::random) || (d1->strategy == DeckStrategy::flexible);
        bool deck_has_been_improved = true;
        std::vector<const Card*> commander_candidates;
        std::vector<const Card*> alpha_dominion_candidates;
        std::vector<const Card*> card_candidates;

        auto mixed_candidates = get_candidate_lists(proc);
        commander_candidates = mixed_candidates.at(0);
        alpha_dominion_candidates = mixed_candidates.at(1);
        card_candidates = mixed_candidates.at(2);
        // add current alpha dominion to candidates if necessary
        // or setup first candidate into the deck if no alpha dominion defined
        if (use_owned_dominions)
        {
                if (best_alpha_dominion)
                {
                        if (!std::count(alpha_dominion_candidates.begin(), alpha_dominion_candidates.end(), best_alpha_dominion))
                        {
                                alpha_dominion_candidates.emplace_back(best_alpha_dominion);
                        }
                }
                else if (!alpha_dominion_candidates.empty())
                {
                        best_alpha_dominion = d1->alpha_dominion = alpha_dominion_candidates[0];
                }
                if (debug_print > 0)
                {
                        for (const Card* dom_card : alpha_dominion_candidates)
                        {
                                std::cout << " ** next Alpha Dominion candidate: " << dom_card->m_name
                                        << " ($: " << alpha_dominion_cost(dom_card) << ")" << std::endl;
                        }
                }
                if (!best_alpha_dominion && owned_alpha_dominion)
                {
                        best_alpha_dominion = owned_alpha_dominion;
                        std::cout << "Setting up owned Alpha Dominion into a deck: " << best_alpha_dominion->m_name << std::endl;
                }
        }
        //std::reverse(card_candidates.begin(), card_candidates.end());



        // << main climbing loop >>
        for (unsigned from_slot(freezed_cards), dead_slot(freezed_cards); ;
                        from_slot = std::max(freezed_cards, (from_slot + 1) % std::min<unsigned>(max_deck_len, best_cards.size() + 1)))
        {
                if(is_timeout_reached()){ break;}
                if (deck_has_been_improved)
                {
                        dead_slot = from_slot;
                        deck_has_been_improved = false;
                }
                else if (from_slot == dead_slot || best_score.points - target_score > -1e-9)
                {
                        if (best_score.n_sims >= num_iterations || best_gap > 0)
                        { break; } // exit main climbing loop
                        auto & prev_results = evaluated_decks[best_deck];
                        skipped_simulations += prev_results.second;
                        // Re-evaluate the best deck
                        d1->commander = best_commander;
                        d1->alpha_dominion = best_alpha_dominion;
                        d1->cards = best_cards;
                        auto evaluate_result = proc.evaluate(std::min(prev_results.second * iterations_multiplier, num_iterations), prev_results);
                        best_score = compute_score(evaluate_result, proc.factors);
                        print_score_info(evaluate_result, proc.factors);
                        dead_slot = from_slot;
                }
                if (best_score.points - target_score > -1e-9)
                { continue; }

                // commander
                if (requirement.num_cards.count(best_commander) == 0)
                {
                        // << commander candidate loop >>
                        for (const Card* commander_candidate: commander_candidates)
                        {
                                if (best_score.points - target_score > -1e-9)
                                { break; }
                                if (commander_candidate == best_commander)
                                { continue; }
                                deck_has_been_improved |= try_improve_deck(d1, -1, -1, commander_candidate,
                                                best_commander, best_alpha_dominion, best_cards, best_score, best_gap, best_deck,
                                                evaluated_decks, zero_results, skipped_simulations, proc,true
#ifndef NQUEST
                        , quest
#endif
                        );
                        }
                        // Now that all commanders are evaluated, take the best one
                        d1->commander = best_commander;
                        d1->alpha_dominion = best_alpha_dominion;
                        d1->cards = best_cards;
                }

                // alpha dominion
                if (use_owned_dominions && !alpha_dominion_candidates.empty())
                {
                        // << alpha dominion candidate loop >>
                        for (const Card* alpha_dominion_candidate: alpha_dominion_candidates)
                        {
                                if (best_score.points - target_score > -1e-9)
                                { break; }
                                if (alpha_dominion_candidate == best_alpha_dominion)
                                { continue; }
                                deck_has_been_improved |= try_improve_deck(d1, -1, -1, alpha_dominion_candidate,
                                                best_commander, best_alpha_dominion, best_cards, best_score, best_gap, best_deck,
                                                evaluated_decks, zero_results, skipped_simulations, proc,true
#ifndef NQUEST
                        , quest
#endif
                        );
                        }
                        // Now that all alpha dominions are evaluated, take the best one
                        d1->commander = best_commander;
                        d1->alpha_dominion = best_alpha_dominion;
                        d1->cards = best_cards;
                }

                // shuffle candidates
                std::shuffle(card_candidates.begin(), card_candidates.end(), re);

                // << card candidate loop >>
                //for (const Card* card_candidate: card_candidates)
                for (auto it = card_candidates.begin(); it != card_candidates.end();++it)
                {
                        const Card* card_candidate = *it;
                        for (unsigned to_slot(is_random ? from_slot : card_candidate ? freezed_cards : (best_cards.size() - 1));
                                        to_slot < (is_random ? (from_slot + 1) : (best_cards.size() + (from_slot < best_cards.size() ? 0 : 1)));
                                        ++ to_slot)
                        {
                                if (card_candidate ?
                                                (from_slot < best_cards.size() && (from_slot == to_slot && card_candidate == best_cards[to_slot])) // 2 Omega -> 2 Omega
                                                :
                                                (from_slot == best_cards.size())) // void -> void
                                { continue; }
                                deck_has_been_improved |= try_improve_deck(d1, from_slot, to_slot, card_candidate,
                                                best_commander, best_alpha_dominion, best_cards, best_score, best_gap, best_deck,
                                                evaluated_decks, zero_results, skipped_simulations, proc,true
#ifndef NQUEST
                        , quest
#endif
                        );
                        }
                        if (best_score.points - target_score > -1e-9)
                        { break; }

                }
        }
        d1->commander = best_commander;
        d1->alpha_dominion = best_alpha_dominion;
        d1->cards = best_cards;
        unsigned simulations = 0;
        for (auto evaluation: evaluated_decks)
        { simulations += evaluation.second.second; }
        std::cout << "Evaluated " << evaluated_decks.size() << " decks (" << simulations << " + " << skipped_simulations << " simulations)." << std::endl;
        print_sim_card_values(d1,proc,num_iterations);
        std::cout << "Optimized Deck: ";
        print_deck_inline(get_deck_cost(d1), best_score, d1,true);
        print_upgraded_cards(d1);
        return std::make_pair(d1->clone(),best_score);
}




inline long double acceptanceProbability(long double old_score, long double new_score, long double temperature)
{
        if(new_score > old_score)
        {
                return 1;
        }
        //100/max_score normalizes the acceptance probability with the used mode/score-range
        //1000 is factor to set the temperature lower (can be changed indirect by setting begin-temperature and its decrease)
        return exp(((new_score-old_score)/temperature*1000*100)/max_possible_score[(size_t)optimization_mode]);
}

DeckResults simulated_annealing(unsigned num_min_iterations, unsigned num_iterations, std::vector<Deck*> your_decks, Process& proc, Requirement & requirement
#ifndef NQUEST
                , Quest & quest
#endif
                )
{
        Deck* cur_deck = proc.your_decks[0];
        EvaluatedResults zero_results = { EvaluatedResults::first_type(proc.enemy_decks.size()), 0 };
        //std::string best_deck = d1->hash();
        std::unordered_map<std::string, EvaluatedResults> evaluated_decks{{cur_deck->hash(), zero_results}};
        EvaluatedResults& results = proc.evaluate(num_min_iterations, evaluated_decks.begin()->second);
        print_score_info(results, proc.factors);
        FinalResults<long double> best_score = compute_score(results, proc.factors);
        //const Card* best_commander = d1->commander;
        //const Card* best_alpha_dominion = cur_deck->alpha_dominion;
        //std::vector<const Card*> best_cards = cur_deck->cards;
        unsigned long skipped_simulations = 0;


        // use the best deck from all passed decks
        copy_deck(filter_best_deck(your_decks, cur_deck, best_score, evaluated_decks, zero_results, skipped_simulations, proc),cur_deck);

        // update freezed_cards
        freezed_cards = std::min<unsigned>(opt_freezed_cards, cur_deck->cards.size());

        unsigned deck_cost = get_deck_cost(cur_deck);
        fund = std::max(fund, deck_cost);
        print_deck_inline(deck_cost, best_score, cur_deck,true);
        std::mt19937& re = proc.threads_data[0]->re;
        unsigned cur_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                        , quest
#endif
                        );

        bool is_random = (cur_deck->strategy == DeckStrategy::random) || (cur_deck->strategy == DeckStrategy::flexible);
        std::vector<const Card*> all_candidates;

        auto mixed_candidates = get_candidate_lists(proc);
        all_candidates.reserve(mixed_candidates.at(0).size()+mixed_candidates.at(1).size()+mixed_candidates.at(2).size());
        all_candidates.insert(all_candidates.end(), std::make_move_iterator(mixed_candidates.at(0).begin()),std::make_move_iterator(mixed_candidates.at(0).end()));
        all_candidates.insert(all_candidates.end(), std::make_move_iterator(mixed_candidates.at(1).begin()),std::make_move_iterator(mixed_candidates.at(1).end()));
        all_candidates.insert(all_candidates.end(), std::make_move_iterator(mixed_candidates.at(2).begin()),std::make_move_iterator(mixed_candidates.at(2).end()));
        //clear
        mixed_candidates.at(0).clear(); mixed_candidates.at(0).shrink_to_fit();
        mixed_candidates.at(1).clear(); mixed_candidates.at(1).shrink_to_fit();
        mixed_candidates.at(2).clear(); mixed_candidates.at(2).shrink_to_fit();
        mixed_candidates.clear();mixed_candidates.shrink_to_fit();

        // add current alpha dominion to candidates if necessary
        // or setup first candidate into the deck if no alpha dominion defined
        if (use_owned_dominions)
        {
                if (cur_deck->alpha_dominion)
                {
                        if (!std::count(all_candidates.begin(), all_candidates.end(), cur_deck->alpha_dominion))
                        {
                                all_candidates.emplace_back(cur_deck->alpha_dominion);
                        }
                }
                if (!cur_deck->alpha_dominion && owned_alpha_dominion)
                {
                        cur_deck->alpha_dominion = owned_alpha_dominion;
                        std::cout << "Setting up owned Alpha Dominion into a deck: " << cur_deck->alpha_dominion->m_name << std::endl;
                }
        }

        Deck* prev_deck = cur_deck->clone();
        Deck* best_deck = cur_deck->clone();

        FinalResults<long double> prev_score = best_score;
        FinalResults<long double> cur_score = best_score;

        unsigned best_gap = cur_gap;

        deck_cost = 0;

        unsigned from_slot(freezed_cards);
        unsigned from_slot_tmp(freezed_cards);
        unsigned to_slot(1);

        if(debug_print >0)std::cout << "Starting Anneal" << std::endl;
        while(temperature > 1 && !(best_score.points - target_score > -1e-9 || is_timeout_reached()))
        {
                cur_deck->commander = prev_deck->commander;
                cur_deck->alpha_dominion = prev_deck->alpha_dominion;
                cur_deck->cards = prev_deck->cards;
                from_slot = std::max(freezed_cards, (from_slot+1) % std::min<unsigned>(max_deck_len, cur_deck->cards.size() +1));
                const Card* candidate = all_candidates.at(std::uniform_int_distribution<unsigned>(0,all_candidates.size()-1)(re));


                if((!candidate || (candidate->m_category == CardCategory::normal && candidate->m_type != CardType::commander && candidate->m_category != CardCategory::dominion_alpha)))
                {

                        to_slot = std::uniform_int_distribution<unsigned>(is_random ? from_slot : candidate ? freezed_cards : (cur_deck->cards.size() -1),(is_random ? (from_slot+1) : (cur_deck->cards.size() + ( from_slot < cur_deck->cards.size() ? 0 : 1)))-1)(re);
                        if(candidate ?
                                        (from_slot < cur_deck->cards.size() && (from_slot == to_slot && candidate == cur_deck->cards[to_slot]))
                                        :
                                        (from_slot == cur_deck->cards.size()))
                        {
                                continue;
                        }
                        from_slot_tmp = from_slot;
                }
                else if(candidate->m_type == CardType::commander && requirement.num_cards.count(cur_deck->commander) == 0)
                {
                        cur_deck->commander = candidate;
                        from_slot_tmp = -1;
                        to_slot = -1;
                }
                else if(candidate->m_category == CardCategory::dominion_alpha && use_owned_dominions)
                {
                        cur_deck->alpha_dominion = candidate;
                        from_slot_tmp = -1;
                        to_slot = -1;
                }
                else{
                        continue;
                }

                std::vector<std::pair<signed, const Card * >> cards_out, cards_in;
                if (!adjust_deck(cur_deck, from_slot_tmp, to_slot, candidate, fund, re, deck_cost, cards_out, cards_in))
                { continue;}
                cur_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                                , quest
#endif
                                );
                if ((cur_gap > 0) && (cur_gap >= best_gap))
                { continue; }

                //same deck skip
                if(cur_deck->hash().compare(prev_deck->hash())==0)continue;



                cur_score = fitness(cur_deck, best_score, evaluated_decks, zero_results, skipped_simulations, proc);

                if(acceptanceProbability(prev_score.points, cur_score.points , temperature) > std::uniform_real_distribution<double>(0,1)(re))
                {
                        if(cur_score.points > best_score.points)
                        {
                                best_score = cur_score;
                                best_deck = cur_deck->clone();
                                best_gap = cur_gap;
                                std::cout << "Deck improved: " << best_deck->hash() << ": (temp=" << temperature << ") :";
                                print_deck_inline(get_deck_cost(best_deck), best_score, best_deck);
                        }
                        if(debug_print>0)std::cout << "UPDATED DECK: " << cur_deck->hash() << ": (temp=" << temperature << ") :";
                        if(debug_print>0)print_deck_inline(get_deck_cost(cur_deck), cur_score, cur_deck);
                        prev_score = cur_score;
                        prev_deck = cur_deck->clone();
                }
                temperature *=1-coolingRate;
        }
        unsigned simulations = 0;
        for (auto evaluation: evaluated_decks)
        { simulations += evaluation.second.second; }
        std::cout << "Evaluated " << evaluated_decks.size() << " decks (" << simulations << " + " << skipped_simulations << " simulations)." << std::endl;
        print_sim_card_values(best_deck,proc,num_iterations);
        std::cout << "Optimized Deck: ";
        print_deck_inline(get_deck_cost(best_deck), best_score, best_deck,true);
        print_upgraded_cards(best_deck);
        return std::make_pair(best_deck->clone(),best_score);
}




void crossover(Deck* src1,Deck* src2, Deck* cur_deck, std::mt19937& re,unsigned best_gap,std::unordered_map<std::string, EvaluatedResults>& evaluated_decks
#ifndef NQUEST
                , Quest & quest
#endif
)
{
        cur_deck->commander = std::uniform_int_distribution<unsigned>(0, 1)(re)?src1->commander:src2->commander;
        cur_deck->alpha_dominion = std::uniform_int_distribution<unsigned>(0, 1)(re)?src1->alpha_dominion:src2->alpha_dominion;
        bool finished = false;
        unsigned itr = 0;
        while(!finished && itr < 100) //todo opt
        {
                itr++;
                cur_deck->cards.clear();
                for(unsigned it =0; it < std::max(src1->cards.size(),src2->cards.size());it++)
                {
                        if(src1->cards.size() <=it)
                        {cur_deck->cards.push_back(src2->cards[it]);}
                        else if(src2->cards.size() <=it)
                        {cur_deck->cards.push_back(src1->cards[it]);}
                        else
                        {
                                cur_deck->cards.push_back(std::uniform_int_distribution<unsigned>(0, 1)(re)?src1->cards[it]:src2->cards[it]);
                        }
                }
                if(!valid_deck(cur_deck)) {continue;} //repeat

                if(evaluated_decks.count(cur_deck->hash())){continue;} // deck already simmed
                unsigned cur_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                                , quest
#endif
                                );
                if ((cur_gap > 0) && (cur_gap >= best_gap))
                { continue; }
                finished = true; // exit while
        }
        if(!finished) copy_deck(std::uniform_int_distribution<unsigned>(0, 1)(re)?src1:src2,cur_deck);
}

void mutate(Deck* src, Deck* cur_deck, std::vector<const Card*> all_candidates, std::mt19937& re,unsigned best_gap,std::unordered_map<std::string, EvaluatedResults>& evaluated_decks
#ifndef NQUEST
                , Quest & quest
#endif
)
{
        copy_deck(src,cur_deck);

        bool is_random = (cur_deck->strategy == DeckStrategy::random) || (cur_deck->strategy == DeckStrategy::flexible); //should be same for all decks from input!?

        unsigned deck_cost = 0;

        unsigned from_slot(freezed_cards);
        unsigned from_slot_tmp(freezed_cards);
        unsigned to_slot(1);

        bool finished = false;
        unsigned itr=0;
        while(!finished && itr < 100) // todo opt
        {
                itr++;
                copy_deck(src,cur_deck);

                from_slot = std::uniform_int_distribution<unsigned>(1,std::min<unsigned>(max_deck_len-1, cur_deck->cards.size()))(re);

                const Card* candidate = all_candidates.at(std::uniform_int_distribution<unsigned>(0,all_candidates.size()-1)(re));


                if((!candidate || (candidate->m_category == CardCategory::normal && candidate->m_type != CardType::commander && candidate->m_category != CardCategory::dominion_alpha)))
                {

                        to_slot = std::uniform_int_distribution<unsigned>(is_random ? from_slot : candidate ? freezed_cards : (cur_deck->cards.size() -1),(is_random ? (from_slot+1) : (cur_deck->cards.size() + ( from_slot < cur_deck->cards.size() ? 0 : 1)))-1)(re);
                        if(candidate ?
                                        (from_slot < cur_deck->cards.size() && (from_slot == to_slot && candidate == cur_deck->cards[to_slot]))
                                        :
                                        (from_slot == cur_deck->cards.size()))
                        {
                                continue;
                        }
                        from_slot_tmp = from_slot;
                }
                else if(candidate->m_type == CardType::commander && requirement.num_cards.count(cur_deck->commander) == 0)
                {
                        cur_deck->commander = candidate;
                        from_slot_tmp = -1;
                        to_slot = -1;
                }
                else if(candidate->m_category == CardCategory::dominion_alpha && use_owned_dominions)
                {
                        cur_deck->alpha_dominion = candidate;
                        from_slot_tmp = -1;
                        to_slot = -1;
                }
                else{
                        continue;
                }

                std::vector<std::pair<signed, const Card * >> cards_out, cards_in;
                if (!adjust_deck(cur_deck, from_slot_tmp, to_slot, candidate, fund, re, deck_cost, cards_out, cards_in))
                { continue;}

                if(evaluated_decks.count(cur_deck->hash()))
                {continue;} // deck already simmed
                if(!valid_deck(cur_deck)) {continue;} //repeat
                unsigned cur_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                                , quest
#endif
                                );
                if ((cur_gap > 0) && (cur_gap >= best_gap))
                { continue; }
                finished = true; // exit while
        }
        if(!finished) copy_deck(src,cur_deck);
}
DeckResults genetic_algorithm(unsigned num_min_iterations, unsigned num_iterations, std::vector<Deck*> your_decks, Process& proc, Requirement & requirement
#ifndef NQUEST
                , Quest & quest
#endif
                )
{
        //std::cerr << "START GENETIC" << std::endl;
        if(pool_size==0){
                if(your_decks.size()>min_pool_size) { //
                        pool_size = your_decks.size();
                }
                else {
                        pool_size = min_pool_size;
                }
        }
        unsigned pool_cross = pool_size*opt_pool_cross/(opt_pool_mutate+opt_pool_cross+opt_pool_keep);
        unsigned pool_keep = pool_size*opt_pool_keep/(opt_pool_mutate+opt_pool_cross+opt_pool_keep);
        unsigned pool_mutate = pool_size-pool_cross-pool_keep;

        //your_decks.size();
        std::vector<std::pair<Deck*,FinalResults<long double>>> pool;
        Deck* cur_deck = proc.your_decks[0];



        EvaluatedResults zero_results = { EvaluatedResults::first_type(proc.enemy_decks.size()), 0 };

        std::unordered_map<std::string, EvaluatedResults> evaluated_decks{{cur_deck->hash(), zero_results}};
        EvaluatedResults& results = proc.evaluate(num_min_iterations, evaluated_decks.begin()->second);
        print_score_info(results, proc.factors);
        FinalResults<long double> best_score = compute_score(results, proc.factors); //init sim, todo remove

        unsigned deck_cost = get_deck_cost(cur_deck);
        fund = std::max(fund, deck_cost);
        print_deck_inline(deck_cost, best_score, cur_deck,true);
        std::mt19937& re = proc.threads_data[0]->re;
        unsigned cur_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                        , quest
#endif
                        );

        unsigned long skipped_simulations = 0;
        std::vector<const Card*> all_candidates;

        auto mixed_candidates = get_candidate_lists(proc);
        all_candidates.reserve(mixed_candidates.at(0).size()+mixed_candidates.at(1).size()+mixed_candidates.at(2).size());
        all_candidates.insert(all_candidates.end(), std::make_move_iterator(mixed_candidates.at(0).begin()),std::make_move_iterator(mixed_candidates.at(0).end()));
        all_candidates.insert(all_candidates.end(), std::make_move_iterator(mixed_candidates.at(1).begin()),std::make_move_iterator(mixed_candidates.at(1).end()));
        all_candidates.insert(all_candidates.end(), std::make_move_iterator(mixed_candidates.at(2).begin()),std::make_move_iterator(mixed_candidates.at(2).end()));
        //clear
        mixed_candidates.at(0).clear(); mixed_candidates.at(0).shrink_to_fit();
        mixed_candidates.at(1).clear(); mixed_candidates.at(1).shrink_to_fit();
        mixed_candidates.at(2).clear(); mixed_candidates.at(2).shrink_to_fit();
        mixed_candidates.clear();mixed_candidates.shrink_to_fit();

        // add current alpha dominion to candidates if necessary
        // or setup first candidate into the deck if no alpha dominion defined

        for( auto tmp_deck : your_decks) // check all decks for owned dominions
        {
                if (use_owned_dominions)
                {
                        if (tmp_deck->alpha_dominion)
                        {
                                if (!std::count(all_candidates.begin(), all_candidates.end(), tmp_deck->alpha_dominion))
                                {
                                        all_candidates.emplace_back(tmp_deck->alpha_dominion);
                                }
                        }
                        if (!tmp_deck->alpha_dominion && owned_alpha_dominion)
                        {
                                tmp_deck->alpha_dominion = owned_alpha_dominion;
                                std::cout << "Setting up owned Alpha Dominion into a deck: " << tmp_deck->alpha_dominion->m_name << std::endl;
                        }
                }
        }
        Deck* best_deck = cur_deck->clone();
        FinalResults<long double> cur_score = best_score;
        unsigned best_gap = cur_gap;

        //fill pool
        if(your_decks.size()>pool_size) your_decks.resize(pool_size); //TODO this drops potential better overflowing decks?!
        for ( unsigned it =your_decks.size(); it < pool_size;it++)
        {
                unsigned j = std::uniform_int_distribution<unsigned>(0,your_decks.size()-1)(re);
                unsigned i = std::uniform_int_distribution<unsigned>(0,your_decks.size()-1)(re);
                Deck* nxt = your_decks[j]->clone();
                if(std::uniform_int_distribution<unsigned>(0,1)(re))
                {
                        mutate(your_decks[i],nxt,all_candidates,re,best_gap,evaluated_decks
#ifndef NQUEST
                                        , quest
#endif
            );
                }
                else
                {
                        crossover(your_decks[i],your_decks[j],nxt,re,best_gap,evaluated_decks
#ifndef NQUEST
                                        , quest
#endif
            );
                }
                your_decks.push_back(nxt);
        }
        //sim pool
        for( auto i_deck :your_decks)
        {
                copy_deck(i_deck,cur_deck);
                cur_score = fitness(cur_deck, best_score, evaluated_decks, zero_results, skipped_simulations, proc,true);
                pool.push_back(std::make_pair(i_deck,cur_score));
                if(cur_score.points > best_score.points)
                {
                        best_score = cur_score;
                        best_deck = cur_deck->clone();
                        best_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                                        , quest
#endif
                                        );
                        std::cout << "Deck improved: " << best_deck->hash() <<":";
                        print_deck_inline(get_deck_cost(best_deck), best_score, best_deck);
                }
        }

        for( unsigned gen= 0; gen< generations && !is_timeout_reached() ;gen++ )
        {
                std::cout << "GENERATION: " << gen << std::endl;

                //sort
                auto sort = [](std::pair<Deck*,FinalResults<long double>> l,std::pair<Deck*,FinalResults<long double>> r) {return l.second.points > r.second.points;};
                std::sort(pool.begin(),pool.end(),sort);
                //breed
                //cross
                for ( unsigned it = 0; it < pool_cross;it++)
                {
                        unsigned i = std::uniform_int_distribution<unsigned>(0,pool_keep-1)(re);
                        unsigned j = std::uniform_int_distribution<unsigned>(pool_keep,pool_size-pool_mutate)(re);
                        //unsigned  k= std::uniform_int_distribution<unsigned>(0,pool_size-pool_mutate)(re);
                        unsigned k = -1;
                        while (k >= pool_size-pool_mutate)
                                k=std::geometric_distribution<unsigned>(0.2)(re); //prefer crossover with strong decks
                        crossover(pool[i].first,pool[k].first,pool[j].first,re,best_gap, evaluated_decks
#ifndef NQUEST
                                        , quest
#endif
            );
                        //crossover(pool[it+pool_size/4*2].first,pool[it+pool_size/4*3].first,pool[it+pool_size/4*3].first,re,best_gap, evaluated_decks);
                        //crossover(pool[it].first,pool[(it+pool_size/8)%(pool_size/4)].first,pool[it+pool_size/4*2].first,re,best_gap, evaluated_decks);
                        //mutate(pool[it].first,pool[it+pool_size/4*3].first,all_candidates,re,best_gap, evaluated_decks);
                }
                //mutate pool_keep to replace lowest scores
                for ( unsigned it = pool_size-pool_mutate; it < pool_size;it++)
                {
                        unsigned i = std::uniform_int_distribution<unsigned>(0,pool_keep-1)(re);
                        //unsigned j = std::uniform_int_distribution<unsigned>(pool_keep,pool_size-1)(re);
                        mutate(pool[i].first,pool[it].first,all_candidates,re,best_gap, evaluated_decks
#ifndef NQUEST
                                        , quest
#endif
            );
                }
                //mutate duplicates
                for ( unsigned it = 0; it < pool_size;it++)
                {
                        for (unsigned i = it+1; i < pool_size;i++)
                        {
                                if(pool[it].first->alpha_dominion && pool[i].first->alpha_dominion && pool[it].first->hash().substr(8)==pool[i].first->hash().substr(8)) //ignore commander + dominion
                                {
                                        mutate(pool[i].first->clone(),pool[i].first,all_candidates,re,best_gap, evaluated_decks
#ifndef NQUEST
                                        , quest
#endif
                    );

                                        FinalResults<long double> nil{0, 0, 0, 0, 0, 0, 1};
                                        pool[i].second = nil; //lowest score approx Null
                                }
                        }
                }
                //calc fitness
                for (unsigned it = pool_keep; it < pool_size; it++)
                {
                        copy_deck(pool[it].first,cur_deck);
                        cur_score = fitness(cur_deck, best_score, evaluated_decks, zero_results, skipped_simulations, proc,true);
                        pool[it].second = cur_score;
                        if(cur_score.points > best_score.points)
                        {
                                best_score = cur_score;
                                best_deck = cur_deck->clone();
                                best_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                                                , quest
#endif
                                                );
                                if(it < pool_size-pool_mutate)
                                {
                                        if (debug_print >= 0)
                                                std::cout << "Crossover: " <<std::endl;
                                        std::cout << "Deck improved: " << best_deck->hash() <<":";
                                }
                                else
                                {
                                        if (debug_print >= 0)
                                                std::cout << "Mutation: " <<std::endl;
                                        std::cout << "Deck improved: " << best_deck->hash() <<":";
                                }

                                print_deck_inline(get_deck_cost(best_deck), best_score, best_deck);
                        }
                }
#ifndef NDEBUG
                if (debug_print >= 0)
                {
                        std::cout << "---------------POOL---------------" << std::endl;
                        for (unsigned it =0; it < pool.size();++it)
                        {
                                if(it==0)std::cout << "---------------KEEP---------------" << std::endl;
                                if(it==pool_keep)std::cout << "---------------CROSS--------------" << std::endl;
                                if(it==pool_keep+pool_cross)std::cout << "---------------MUTATE-------------" << std::endl;
                                auto a = pool[it];
                                print_deck_inline(get_deck_cost(a.first),a.second,a.first);
                        }
                        std::cout << "---------------PEND---------------" << std::endl;
                }
#endif
        }

        unsigned simulations = 0;
        for (auto evaluation: evaluated_decks)
        { simulations += evaluation.second.second; }
        std::cout << "Evaluated " << evaluated_decks.size() << " decks (" << simulations << " + " << skipped_simulations << " simulations)." << std::endl;
        print_sim_card_values(best_deck,proc,num_iterations);
        std::cout << "Optimized Deck: ";
        print_deck_inline(get_deck_cost(best_deck), best_score, best_deck,true);
        print_upgraded_cards(best_deck);
        return std::make_pair(best_deck->clone(),best_score);
}


unsigned factorial(unsigned n)
{
        unsigned retval = 1;
        for (int i = n; i > 1; --i)
                retval *= i;
        return retval;
}

void recursion(unsigned num_iterations, std::vector<unsigned> used, unsigned pool, std::vector<const Card*> forts,Process&proc, FinalResults<long double>& best_score,std::vector<const Card*> & best_forts,std::unordered_map<std::string,EvaluatedResults> & evaluated_decks, EvaluatedResults& zero_results, unsigned long& skipped_simulations)
{
        if(used.size()==pool)
        {
                for(auto your_deck : proc.your_decks)
                {
                        your_deck->fortress_cards.clear();
                        for(unsigned i = 0; i < pool;++i)
                        {
                                your_deck->fortress_cards.emplace_back(forts[used[i]]);
                        }
                }
                //sim
                std::stringstream ios;
                encode_deck_ext_b64(ios,proc.your_decks[0]->fortress_cards);
                auto hash = ios.str();
                auto && emplace_rv = evaluated_decks.insert({hash,zero_results});
                auto & prev_results = emplace_rv.first->second;
                if(!emplace_rv.second)
                {
                        skipped_simulations += prev_results.second;
                }
                auto compare_results= proc.evaluate(num_iterations, prev_results);
                auto current_score = compute_score(compare_results, proc.factors);

                if(current_score.points > best_score.points+min_increment_of_score) {
                        best_score = current_score;
                        std::vector<const Card*> copy_forts(proc.your_decks[0]->fortress_cards);
                        best_forts = copy_forts;
                        std::cout << "Forts improved: " << hash << " : ";
                        print_score_info(compare_results, proc.factors);
                        print_score_inline(best_score);
                        std::cout << ": ";
                        print_cards_inline(best_forts);
                }
                used.clear();
                used.shrink_to_fit();
        }
        else
        {
                for(unsigned i =0;i < forts.size();++i)
                {
                        if(std::find(used.begin(),used.end(),i)==used.end()) //not contained
                        {
                                std::vector<unsigned> tmp_used (used);
                                tmp_used.emplace_back(i);
                                recursion(num_iterations,tmp_used,pool,forts,proc,best_score,best_forts,evaluated_decks,zero_results,skipped_simulations);
                        }
                }
        }
}

DeckResults forts_climbing(unsigned num_iterations, Process& proc) {
        EvaluatedResults zero_results = { EvaluatedResults::first_type(proc.enemy_decks.size()*proc.your_decks.size()), 0 };
        unsigned pool = std::get<0>(proc.your_decks[0]->variable_forts[0]);
        std::vector<const Card*> forts(std::get<2>(proc.your_decks[0]->variable_forts[0]));
        for(unsigned i =0; i < proc.your_decks.size();++i)
        {
                proc.your_decks[i]->variable_forts.clear();
        }
        std::vector<unsigned> used;
        used.reserve(pool);
        std::vector<const Card*> best_forts{pool};
        FinalResults<long double> best_score{0, 0, 0, 0, 0, 0, 0};
        unsigned long skipped_simulations{0};
        std::unordered_map<std::string,EvaluatedResults> evaluated_decks{{"",zero_results}};
        recursion(num_iterations,used,pool,forts, proc,best_score,best_forts,evaluated_decks,zero_results,skipped_simulations);
        unsigned simulations = 0;
        for (auto evaluation: evaluated_decks)
        { simulations += evaluation.second.second; }
        std::cout << "Evaluated " << evaluated_decks.size() << " decks (" << simulations << " + " << skipped_simulations << " simulations)." << std::endl;
        std::cout << "Optimized Deck: ";
        print_cards_inline(best_forts);
        Deck* tmp = proc.your_decks[0]->clone();
        tmp->commander = nullptr;
        tmp->alpha_dominion = nullptr;
        tmp->cards = best_forts; // return forts
        return std::make_pair(tmp,best_score);
}

inline bool contains(std::multimap<FinalResults<long double>, Deck*, std::greater<FinalResults<long double>>> best,Deck* d)
{
                for(auto it = best.begin();it!=best.end();it++)
                {
                        if(it->second->hash().compare(d->hash())==0) return true;
                }
                return false;
}

inline void check_and_update(std::multimap<FinalResults<long double>, Deck*, std::greater<FinalResults<long double>>>& best,Deck* cur_deck,bool & deck_has_been_improved, FinalResults<long double>& best_score )
{
        auto tmp_result = (best.size()<pool_size)?0.:(std::next(best.begin(),pool_size))->first.points;
        //std::cout << "IMP CMD" << std::endl;
        if(best_score.points > tmp_result && !contains(best,cur_deck))
        {
                        deck_has_been_improved = true;
                        if(best_score > best.begin()->first){
                                        std::cout << "Deck improved: " << cur_deck->hash() <<":" << std::endl;
                                        print_deck_inline(get_deck_cost(cur_deck), best_score, cur_deck);
                        }
                        best.insert(std::make_pair(best_score,cur_deck->clone()));
                        if(best.size()==pool_size+1)best.erase(std::prev(best.end(),1));
        }
}

DeckResults beam_climb(unsigned num_min_iterations, unsigned num_iterations, std::vector<Deck*> your_decks, Process& proc, Requirement & requirement
#ifndef NQUEST
                , Quest & quest
#endif
                )
{
        if(pool_size==0){
                        pool_size = min_beam_size;
        }

        //your_decks.size();
        //std::vector<std::pair<Deck*,FinalResults<long double>>> pool;

        //auto sort = [](FinalResults<long double> l,FinalResults<long double> r) {return l.points > r.points;};
        std::multimap<FinalResults<long double>, Deck*, std::greater<FinalResults<long double>>> best;
        Deck* cur_deck = proc.your_decks[0];


        EvaluatedResults zero_results = { EvaluatedResults::first_type(proc.enemy_decks.size()), 0 };

        std::unordered_map<std::string, EvaluatedResults> evaluated_decks{{cur_deck->hash(), zero_results}};
        EvaluatedResults& results = proc.evaluate(num_min_iterations, evaluated_decks.begin()->second);
        print_score_info(results, proc.factors);
        FinalResults<long double> best_score = compute_score(results, proc.factors); //init sim, todo remove

        unsigned deck_cost = get_deck_cost(cur_deck);
        fund = std::max(fund, deck_cost);
        print_deck_inline(deck_cost, best_score, cur_deck,true);
        std::mt19937& re = proc.threads_data[0]->re;
        unsigned cur_gap = check_requirement(cur_deck, requirement
#ifndef NQUEST
                        , quest
#endif
                        );

        unsigned long skipped_simulations = 0;

        bool is_random = (cur_deck->strategy == DeckStrategy::random) || (cur_deck->strategy == DeckStrategy::flexible);
        bool deck_has_been_improved = true;

        std::vector<const Card*> commander_candidates;
        std::vector<const Card*> alpha_dominion_candidates;
        std::vector<const Card*> card_candidates;

        auto mixed_candidates = get_candidate_lists(proc);
        commander_candidates = mixed_candidates.at(0);
        alpha_dominion_candidates = mixed_candidates.at(1);
        card_candidates = mixed_candidates.at(2);
        // add current alpha dominion to candidates if necessary
        // or setup first candidate into the deck if no alpha dominion defined
        if (use_owned_dominions)
        {
                for(auto i_deck : your_decks) //add all alpha doms
                {
                        if (i_deck->alpha_dominion)
                        {
                                if (!std::count(alpha_dominion_candidates.begin(), alpha_dominion_candidates.end(),i_deck->alpha_dominion))
                                {
                                        alpha_dominion_candidates.emplace_back(i_deck->alpha_dominion);
                                }
                        }
                }
                if (debug_print > 0)
                {
                        for (const Card* dom_card : alpha_dominion_candidates)
                        {
                                std::cout << " ** next Alpha Dominion candidate: " << dom_card->m_name
                                        << " ($: " << alpha_dominion_cost(dom_card) << ")" << std::endl;
                        }
                }
        }

        //Deck* best_deck = cur_deck->clone();
        //FinalResults<long double> cur_score = best_score;
        //unsigned best_gap = cur_gap;



        //if(your_decks.size()>pool_size) your_decks.resize(pool_size);
        Deck * best_deck = cur_deck->clone();
        auto best_decks = your_decks;
        std::string best_hash = cur_deck->hash();
        unsigned from_slot;
        unsigned count_slot=0; //count iterations
        unsigned dead_slot=0; //last deck improvement
        unsigned mod_permute = 10*9*8*7*6*5*4*3*2*1;
        //FinalResults<long double> tmp_result;
        FinalResults<long double> nil{0, 0, 0, 0, 0, 0, num_min_iterations};
        //sim passed decks
        for(auto ii : your_decks){
                        auto tdeck = ii->clone();
                        copy_deck(tdeck,cur_deck);
                        auto tscore = fitness(cur_deck,nil,evaluated_decks,zero_results,skipped_simulations,proc);
                        if(!contains(best,cur_deck))best.insert(std::make_pair(tscore,tdeck));
                        if(best.size()==pool_size+1)best.erase(std::prev(best.end(),1));
        }
        //fill remaining
        while(best.size()<pool_size){
                unsigned j = std::uniform_int_distribution<unsigned>(0,your_decks.size()-1)(re);
                unsigned i = std::uniform_int_distribution<unsigned>(0,your_decks.size()-1)(re);
                Deck* nxt = your_decks[j]->clone();
                mutate(your_decks[i],nxt,card_candidates,re,cur_gap,evaluated_decks
#ifndef NQUEST
                                        , quest
#endif
        ); //no crossovers here only fill with mutations
                copy_deck(nxt,cur_deck);
                auto tscore = fitness(cur_deck,nil,evaluated_decks,zero_results,skipped_simulations,proc);
                if(!contains(best,nxt)){best.insert(std::make_pair(tscore,nxt));}
        }

        while(true)
        {

#ifndef NDEBUG
                if (debug_print >= 0)
                {
                        std::cout << "---------------BEST---------------" << std::endl;
                        for (auto it = best.begin(); it != best.end();++it)
                        {
                                print_deck_inline(get_deck_cost(it->second),it->first,it->second);
                        }
                        std::cout << "---------------BEND---------------" << std::endl;
                }
#endif
                count_slot = (count_slot+1)%(mod_permute); //TODO Modulo here? % 10*9*8*7*6*5*4*3*2*1
                if(is_timeout_reached()){break;}
                if (deck_has_been_improved)
                {
                        dead_slot = count_slot;
                        deck_has_been_improved = false;
                }
                else if((dead_slot<count_slot && count_slot-dead_slot>=10 )||(count_slot<dead_slot && count_slot+mod_permute-dead_slot>=10 )) // nothing improved for 10 cycles
                {
                        break; // done climbing
                        //TODO climbex like beam climb here
                }

                // get new best decks:
                best_decks.clear();
                for(auto it = best.begin();it!=best.end();it++)
                {
                        best_decks.push_back(it->second);
                }
                //sim deck
                for( auto i_deck :best_decks)
                {
                        copy_deck(i_deck->clone(),cur_deck);
                        best_deck = i_deck->clone();
                        //copy_deck(i_deck,best_deck);
                        best_score = fitness(cur_deck,nil,evaluated_decks,zero_results,skipped_simulations,proc); // grab from stored results or sim it
                        from_slot = std::max(freezed_cards, (count_slot) % std::min<unsigned>(max_deck_len, best_deck->cards.size() + 1));
                        //climb + save best ones to best

                        // commander
                if (requirement.num_cards.count(best_deck->commander) == 0)
                {
                        // << commander candidate loop >>
                        for (const Card* commander_candidate: commander_candidates)
                        {
                                if (best_score.points - target_score > -1e-9)
                                { break; }
                                if (commander_candidate == best_deck->commander)
                                {continue;}
                                //std::cout << "TRY CMD" << std::endl;
                                if(try_improve_deck(cur_deck, -1, -1, commander_candidate,
                                                best_deck->commander, best_deck->alpha_dominion, best_deck->cards, best_score, cur_gap, best_hash,
                                                evaluated_decks, zero_results, skipped_simulations, proc,false
#ifndef NQUEST
                        , quest
#endif
                        ))
                                                {
                                                                check_and_update(best,cur_deck,deck_has_been_improved,best_score);
                                                }
                        }
                        copy_deck(best_deck,cur_deck);
                }

                // alpha dominion
                if (use_owned_dominions && !alpha_dominion_candidates.empty())
                {
                        // << alpha dominion candidate loop >>
                        for (const Card* alpha_dominion_candidate: alpha_dominion_candidates)
                        {
                                if (best_score.points - target_score > -1e-9)
                                { break; }
                                if (alpha_dominion_candidate == best_deck->alpha_dominion)
                                { continue; }
                                if(try_improve_deck(cur_deck, -1, -1, alpha_dominion_candidate,
                                                best_deck->commander, best_deck->alpha_dominion, best_deck->cards, best_score, cur_gap, best_hash,
                                                evaluated_decks, zero_results, skipped_simulations, proc,false
#ifndef NQUEST
                        , quest
#endif
                        ))
                                                {
                                                                check_and_update(best,cur_deck,deck_has_been_improved,best_score);
                                                }
                        }
                        copy_deck(best_deck,cur_deck);
                }

                // shuffle candidates
                std::shuffle(card_candidates.begin(), card_candidates.end(), re);

                // << card candidate loop >>
                //for (const Card* card_candidate: card_candidates)
                for (auto it = card_candidates.begin(); it != card_candidates.end();++it)
                {
                        const Card* card_candidate = *it;
                        for (unsigned to_slot(is_random ? from_slot : card_candidate ? freezed_cards : (best_deck->cards.size() - 1));
                                        to_slot < (is_random ? (from_slot + 1) : (best_deck->cards.size() + (from_slot < best_deck->cards.size() ? 0 : 1)));
                                        ++ to_slot)
                        {
                                if (card_candidate ?
                                                (from_slot < best_deck->cards.size() && (from_slot == to_slot && card_candidate == best_deck->cards[to_slot])) // 2 Omega -> 2 Omega
                                                :
                                                (from_slot == best_deck->cards.size())) // void -> void
                                { continue; }

                                //std::cout << "TRY" << std::endl;
                                //print_deck_inline(get_deck_cost(best_deck),best_score,best_deck);
                                if(try_improve_deck(cur_deck, from_slot, to_slot, card_candidate,
                                                best_deck->commander, best_deck->alpha_dominion, best_deck->cards, best_score, cur_gap, best_hash,
                                                evaluated_decks, zero_results, skipped_simulations, proc,false
#ifndef NQUEST
                        , quest
#endif
                        ))
                                                {
                                                                check_and_update(best,cur_deck,deck_has_been_improved,best_score);
                                                }
                                //print_deck_inline(get_deck_cost(best_deck),best_score,best_deck);
                        }
                        if (best_score.points - target_score > -1e-9)
                        { break; }

                        }
                }
}

        best_deck = best.begin()->second;
        best_score = best.begin()->first;

        unsigned simulations = 0;
        for (auto evaluation: evaluated_decks)
        { simulations += evaluation.second.second; }
        std::cout << "Evaluated " << evaluated_decks.size() << " decks (" << simulations << " + " << skipped_simulations << " simulations)." << std::endl;
        print_sim_card_values(best_deck,proc,num_iterations);
        std::cout << "Optimized Deck: ";
        print_deck_inline(get_deck_cost(best_deck), best_score, best_deck,true);
        print_upgraded_cards(best_deck);
        return std::make_pair(best_deck->clone(),best_score);
}

APN-Pucky / tyrant_optimize / 20466750017

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