384 lines
No EOL
13 KiB
C++
384 lines
No EOL
13 KiB
C++
#ifndef DYNAMIC_PROGRAM_GAME_STATE_H
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#define DYNAMIC_PROGRAM_GAME_STATE_H
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#include <array>
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#include <bitset>
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#include <cstdint>
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#include <limits>
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#include <list>
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#include <optional>
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#include <ostream>
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#include <stack>
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#include <unordered_map>
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#include <vector>
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#include <boost/container/static_vector.hpp>
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#include <boost/rational.hpp>
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namespace Hanabi {
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using rank_t = std::uint8_t;
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using suit_t = std::uint8_t;
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using clue_t = std::uint8_t;
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using player_t = std::uint8_t;
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using hand_index_t = std::uint8_t;
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using probability_t = boost::rational<unsigned long>;
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/**
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* We will generally assume that stacks are played from n to 0
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* Playing a 0 will yield a clue
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* Therefore, for the default hanabi, we will play 4,3,2,1,0 in that order
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* on each stack. A stack with no cards played implicitly has value 5 on it
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* This is just easier to implement, since then the remaining number of cards
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* to be played is always the current number of the stack
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*/
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constexpr rank_t starting_card_rank = 5;
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constexpr suit_t max_suit_index = 5;
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constexpr size_t max_card_duplicity = 3;
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constexpr clue_t max_num_clues = 8;
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constexpr uint8_t not_in_starting_hand = std::numeric_limits<uint8_t>::max();
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constexpr hand_index_t invalid_hand_idx = std::numeric_limits<hand_index_t>::max();
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// We might want to change these at runtime to adapt to other variants.
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// However, a global variable is used so that we can have an output operator for cards reading from here
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// Note that this is therefore not static so that we have external linking
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inline std::array<char, 6> suit_initials = {'r', 'y', 'g', 'b', 'p', 't'};
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struct Card {
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suit_t suit;
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rank_t rank;
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uint8_t local_index;
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bool in_starting_hand;
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bool initial_trash;
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inline bool operator==(const Card &other) const;
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};
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namespace Cards {
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static constexpr Card r0 = {0, 5};
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static constexpr Card r1 = {0, 4};
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static constexpr Card r2 = {0, 3};
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static constexpr Card r3 = {0, 2};
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static constexpr Card r4 = {0, 1};
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static constexpr Card r5 = {0, 0};
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static constexpr Card y0 = {1, 5};
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static constexpr Card y1 = {1, 4};
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static constexpr Card y2 = {1, 3};
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static constexpr Card y3 = {1, 2};
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static constexpr Card y4 = {1, 1};
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static constexpr Card y5 = {1, 0};
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static constexpr Card g0 = {2, 5};
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static constexpr Card g1 = {2, 4};
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static constexpr Card g2 = {2, 3};
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static constexpr Card g3 = {2, 2};
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static constexpr Card g4 = {2, 1};
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static constexpr Card g5 = {2, 0};
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static constexpr Card b0 = {3, 5};
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static constexpr Card b1 = {3, 4};
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static constexpr Card b2 = {3, 3};
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static constexpr Card b3 = {3, 2};
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static constexpr Card b4 = {3, 1};
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static constexpr Card b5 = {3, 0};
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static constexpr Card p0 = {4, 5};
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static constexpr Card p1 = {4, 4};
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static constexpr Card p2 = {4, 3};
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static constexpr Card p3 = {4, 2};
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static constexpr Card p4 = {4, 1};
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static constexpr Card p5 = {4, 0};
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static constexpr Card t0 = {5, 5};
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static constexpr Card t1 = {5, 4};
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static constexpr Card t2 = {5, 3};
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static constexpr Card t3 = {5, 2};
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static constexpr Card t4 = {5, 1};
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static constexpr Card t5 = {5, 0};
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static constexpr Card unknown = {std::numeric_limits<suit_t>::max(), 0};
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static constexpr Card trash = {std::numeric_limits<suit_t>::max(), 1};
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};
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}
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namespace std {
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template<>
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struct hash<Hanabi::Card> {
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std::size_t operator()(Hanabi::Card const& card) const noexcept {
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return card.suit * 6 + card.rank;
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}
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};
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}
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namespace Hanabi {
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inline std::ostream &operator<<(std::ostream &os, const Card &card);
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/**
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* To store:
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* - Draw pile size
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* - Distribution of cards
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* - Which cards exist?
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* - Number of clues
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*/
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template <size_t num_suits>
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using Stacks = std::array<rank_t, num_suits>;
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template <size_t num_suits>
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std::ostream& operator<<(std::ostream &os, const Stacks<num_suits> &stacks);
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struct CardMultiplicity {
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Card card;
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unsigned multiplicity;
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bool operator==(const CardMultiplicity &) const = default;
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};
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template<typename T>
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struct InnerCardArray {
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template<size_t N>
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using array_t = std::array<T, N>;
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};
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template<>
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struct InnerCardArray<bool> {
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template<size_t N>
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using array_t = std::bitset<N>;
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};
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template <suit_t num_suits, typename T> struct CardArray {
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using value_type = T;
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CardArray() = default;
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explicit CardArray(value_type default_val);
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void fill(value_type val);
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const value_type &operator[](const Card &card) const;
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value_type &operator[](const Card &card);
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auto operator<=>(const CardArray &) const = default;
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private:
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using inner_array_t = typename InnerCardArray<T>::template array_t<starting_card_rank>;
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std::array<inner_array_t , num_suits> _array {};
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};
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enum class ActionType : std::uint8_t {
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play = 0,
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discard = 1,
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clue = 2,
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color_clue = 2,
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rank_clue = 3,
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end_game = 4,
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vote_terminate_players = 5,
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vote_terminate = 10,
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};
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struct Action {
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ActionType type {};
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Card card {};
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};
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inline std::ostream& operator<<(std::ostream& os, const Action& action);
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/** Would like to have 2 versions:
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* All:
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* - support playing cards, querying basic information
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* - support going back, but with a different interface: efficient (needs arguments, does not store) or using a stack
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*
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*/
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class HanabiStateIF {
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public:
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virtual void give_clue() = 0;
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virtual void discard(hand_index_t index) = 0;
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virtual void play(hand_index_t index) = 0;
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virtual void rotate_next_draw(const Card& card) = 0;
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virtual void revert() = 0;
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[[nodiscard]] virtual player_t turn() const = 0;
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[[nodiscard]] virtual clue_t num_clues() const = 0;
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[[nodiscard]] virtual std::vector<std::vector<Card>> hands() const = 0;
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[[nodiscard]] virtual std::vector<Card> cur_hand() const = 0;
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[[nodiscard]] virtual size_t draw_pile_size() const = 0;
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[[nodiscard]] virtual bool is_trash(const Card& card) const = 0;
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[[nodiscard]] virtual bool is_playable(const Card& card) const = 0;
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[[nodiscard]] virtual bool is_relative_state_initialized() const = 0;
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[[nodiscard]] virtual hand_index_t find_card_in_hand(const Card& card) const = 0;
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[[nodiscard]] virtual std::uint64_t enumerated_states() const = 0;
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[[nodiscard]] virtual const std::unordered_map<unsigned long, probability_t>& position_tablebase() const = 0;
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virtual void init_backtracking_information() = 0;
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virtual probability_t evaluate_state() = 0;
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[[nodiscard]] virtual std::optional<probability_t> lookup() const = 0;
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[[nodiscard]] virtual std::uint64_t unique_id() const = 0;
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[[nodiscard]] virtual std::pair<std::vector<std::uint64_t>, std::vector<Card>> dump_unique_id_parts() const = 0;
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virtual std::vector<std::pair<Action, std::optional<probability_t>>> get_reasonable_actions() = 0;
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virtual std::vector<std::pair<CardMultiplicity, std::optional<probability_t>>> possible_next_states(hand_index_t index, bool play) = 0;
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virtual ~HanabiStateIF() = default;
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protected:
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virtual void print(std::ostream& os) const = 0;
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friend std::ostream& operator<<(std::ostream&, HanabiStateIF const&);
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};
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inline std::ostream &operator<<(std::ostream &os, HanabiStateIF const &hanabi_state);
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template <suit_t num_suits, player_t num_players, hand_index_t hand_size>
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class HanabiState : public HanabiStateIF {
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public:
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HanabiState() = default;
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explicit HanabiState(const std::vector<Card>& deck);
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void give_clue() final;
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void discard(hand_index_t index) final;
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void play(hand_index_t index) final;
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void rotate_next_draw(const Card& card) final;
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void revert() final;
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[[nodiscard]] player_t turn() const final;
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[[nodiscard]] clue_t num_clues() const final;
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[[nodiscard]] std::vector<std::vector<Card>> hands() const final;
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[[nodiscard]] std::vector<Card> cur_hand() const final;
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[[nodiscard]] size_t draw_pile_size() const final;
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[[nodiscard]] hand_index_t find_card_in_hand(const Card& card) const final;
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[[nodiscard]] bool is_trash(const Card& card) const final;
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[[nodiscard]] bool is_playable(const Card& card) const final;
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[[nodiscard]] bool is_relative_state_initialized() const final;
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[[nodiscard]] std::uint64_t enumerated_states() const final;
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[[nodiscard]] const std::unordered_map<unsigned long, probability_t>& position_tablebase() const final;
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void init_backtracking_information() final;
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probability_t evaluate_state() final;
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[[nodiscard]] std::optional<probability_t> lookup() const final;
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[[nodiscard]] std::uint64_t unique_id() const final;
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[[nodiscard]] std::pair<std::vector<std::uint64_t>, std::vector<Card>> dump_unique_id_parts() const final;
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std::vector<std::pair<Action, std::optional<probability_t>>> get_reasonable_actions() final;
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std::vector<std::pair<CardMultiplicity, std::optional<probability_t>>> possible_next_states(hand_index_t index, bool play) final;
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auto operator<=>(const HanabiState &) const = default;
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protected:
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void print(std::ostream& os) const final;
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private:
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struct BacktrackAction {
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explicit BacktrackAction(
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ActionType action_type,
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Card discarded_or_played = Cards::unknown,
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hand_index_t index = 0,
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bool was_on_8_clues = false
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);
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ActionType action_type{};
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// The card that was discarded or played
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Card discarded{};
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// Index of card in hand that was discarded or played
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hand_index_t index{};
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// Indicates whether before the action was taken, we had 8 clues.
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// This is important so that we know if we go back to 7 or 8 clues when we revert playing a 5
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bool was_on_8_clues {false};
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};
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// This keeps track of the representation of the gamestate relative to some starting state
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// and is used for id calculation
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struct RelativeRepresentationData {
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// List of unique non-trash cards in draw pile
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boost::container::static_vector<Card, 30> good_cards_draw;
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// Card positions of these cards. Indexes correspond to the cards stored in _good_cards_draw vector
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boost::container::static_vector<boost::container::static_vector<player_t, max_card_duplicity>, 30> card_positions_draw;
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// This will indicate whether cards that were in hands initially still are in hand
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// The first n bits are used and cards are assumed to have been marked with their indices in this bitset
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std::bitset<num_players * hand_size> card_positions_hands {};
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// Note this is not the same as _good_cards_draw.size(), since this accounts for multiplicities
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std::uint8_t initial_draw_pile_size { 0 };
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// Number of bits from above bitset that is meaningful
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std::uint8_t num_useful_cards_in_starting_hands { 0 };
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// Whether we initialized the values above and marked cards accordingly
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bool initialized { false };
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};
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unsigned long discard_and_potentially_update(hand_index_t index);
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unsigned long play_and_potentially_update(hand_index_t index);
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unsigned draw(hand_index_t index);
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void revert_draw(hand_index_t index, Card discarded_card);
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void revert_clue();
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void revert_discard();
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void revert_play();
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void update_tablebase(unsigned long id, probability_t probability);
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template<class Function>
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void do_for_each_potential_draw(hand_index_t index, bool play, Function f);
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void incr_turn();
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void decr_turn();
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static constexpr uint8_t no_endgame = std::numeric_limits<uint8_t>::max();
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static constexpr player_t draw_pile = num_players;
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static constexpr player_t trash_or_play_stack = num_players + 1;
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// Usual game state
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player_t _turn{};
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clue_t _num_clues{};
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std::uint8_t _weighted_draw_pile_size{};
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Stacks<num_suits> _stacks{};
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std::array<std::array<Card, hand_size>, num_players> _hands{};
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std::list<CardMultiplicity> _draw_pile{};
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std::uint8_t _endgame_turns_left{};
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// further values of game state that are technically determined, but we update them anyway
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int8_t _pace{};
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uint8_t _score{};
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// For reverting the current game
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std::stack<BacktrackAction> _actions_log;
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// For calculating ids of states during backtracking
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RelativeRepresentationData _relative_representation;
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// Lookup table for states. Uses the ids calculated using the relative representation
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std::unordered_map<unsigned long, probability_t> _position_tablebase;
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std::uint64_t _enumerated_states {};
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};
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template <std::size_t num_suits, player_t num_players, std::size_t hand_size>
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bool same_up_to_discard_permutation(HanabiState<num_suits, num_players, hand_size> state1, HanabiState<num_suits, num_players, hand_size> state2) {
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auto comp = [](CardMultiplicity &m1, CardMultiplicity &m2) -> bool {
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return m1.card.suit < m2.card.suit || (m1.card.suit == m2.card.suit and m1.card.rank < m2.card.rank) ||
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(m1.card.suit == m2.card.suit and m1.card.rank == m2.card.rank and m1.multiplicity < m2.multiplicity);
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};
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state1._draw_pile.sort(comp);
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state2._draw_pile.sort(comp);
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return state1 == state2;
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}
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}
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#include "game_state.hpp"
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#endif // DYNAMIC_PROGRAM_GAME_STATE_H
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