Endgame-Analyzer/game_state.h

239 lines
6.9 KiB
C++

#ifndef DYNAMIC_PROGRAM_GAME_STATE_H
#define DYNAMIC_PROGRAM_GAME_STATE_H
#include <array>
#include <cstdint>
#include <algorithm>
#include <cstddef>
#include <bitset>
#include <limits>
#include <optional>
#include <boost/container/static_vector.hpp>
#include <list>
#include <ostream>
namespace Hanabi {
using rank_t = std::uint8_t;
using suit_t = std::uint8_t;
using clue_t = std::uint8_t;
using player_t = std::int8_t;
using state_t = std::uint32_t;
/**
* We will generally assume that stacks are played from n to 0
* Playing a 0 will yield a clue
* Therefore, for the default hanabi, we will play 4,3,2,1,0 in that order
* on each stack. A stack with no cards played implicitly has value 5 on it
* This is just easier to implement, since then the remaining number of cards
* to be played is always the current number of the stack
*/
constexpr rank_t starting_card_rank = 5;
constexpr suit_t max_suit_index = 5;
constexpr size_t max_card_duplicity = 3;
constexpr player_t draw_pile = -1;
constexpr player_t trash_or_play_stack = -2;
constexpr clue_t max_num_clues = 8;
constexpr std::array<std::string, 6> suit_initials{"r", "y", "g", "b", "p", "t"};
struct Card {
suit_t suit;
rank_t rank;
uint8_t copy;
Card &operator++();
Card successor() const;
const Card operator++(int);
auto operator<=>(const Card &) const = default;
};
std::ostream &operator<<(std::ostream &os, const Card &card) {
os << suit_initials[card.suit] << 5 - card.rank;
return os;
}
constexpr Card r0 = {0, 0, 0};
constexpr Card r1 = {0, 1, 0};
constexpr Card r2 = {0, 2, 0};
constexpr Card r3 = {0, 3, 0};
constexpr Card r4 = {0, 4, 0};
constexpr Card y0 = {1, 0, 0};
constexpr Card y1 = {1, 1, 0};
constexpr Card y2 = {1, 2, 0};
constexpr Card y3 = {1, 3, 0};
constexpr Card y4 = {1, 4, 0};
/**
* To store:
* - Draw pile size
* - Distribution of cards
* - Which cards exist?
* - Number of clues
*/
template <std::size_t num_suits> using Stacks = std::array<rank_t, num_suits>;
template <std::size_t num_suits>
std::ostream &operator<<(std::ostream &os, const Stacks<num_suits> &stacks);
struct CardMultiplicity {
Card card;
std::uint8_t multiplicity;
auto operator<=>(const CardMultiplicity &) const = default;
};
template <std::size_t num_suits, typename T, bool respect_card_duplicity>
struct CardArrayMember {
};
template <std::size_t num_suits, typename T>
struct CardArrayMember<num_suits, T, true> {
auto operator<=>(const CardArrayMember &) const = default;
std::array<std::array<std::array<T , max_card_duplicity>, starting_card_rank>, num_suits> array {};
};
template <std::size_t num_suits, typename T>
struct CardArrayMember<num_suits, T, false> {
auto operator<=>(const CardArrayMember &) const = default;
std::array<std::array<T, starting_card_rank>, num_suits> array {};
};
template <std::size_t num_suits, typename T, bool respect_card_duplicity = true> struct CardArray {
using value_type = T;
CardArray() = default;
explicit CardArray(value_type default_val);
const value_type &operator[](const Card &card) const;
value_type &operator[](const Card &card);
auto operator<=>(const CardArray &) const = default;
private:
CardArrayMember<num_suits, T, respect_card_duplicity> _vals;
};
enum class ActionType {
play = 0,
discard = 1,
clue = 2,
color_clue = 2,
rank_clue = 3,
end_game = 4,
vote_terminate = 10,
};
struct BacktrackAction {
// The card that was discarded or played
Card discarded{};
// Index of card in hand that was discarded or played
std::uint8_t index{};
// Multiplicity of new draw (needed for probability calculations)
std::uint8_t multiplicity{};
};
class HanabiStateIF {
public:
virtual double backtrack(size_t depth) = 0;
virtual void clue() = 0;
virtual BacktrackAction discard(std::uint8_t index) = 0;
virtual BacktrackAction play(std::uint8_t index) = 0;
virtual void revert_clue() = 0;
virtual void revert_play(const BacktrackAction &action, bool was_on_8_clues) = 0;
virtual void revert_discard(const BacktrackAction &action) = 0;
[[nodiscard]] virtual std::uint8_t find_card_in_hand(const Card& card) const = 0;
[[nodiscard]] virtual bool is_trash(const Card& card) const = 0;
[[nodiscard]] virtual bool is_playable(const Card& card) const = 0;
[[nodiscard]] virtual std::uint64_t enumerated_states() const = 0;
virtual void normalize_draw_and_positions() = 0;
virtual ~HanabiStateIF() = default;
protected:
virtual void print(std::ostream& os) const = 0;
friend std::ostream& operator<<(std::ostream&, HanabiStateIF const&);
};
template <std::size_t num_suits, player_t num_players, std::size_t hand_size>
class HanabiState : public HanabiStateIF {
public:
HanabiState() = default;
explicit HanabiState(const std::vector<Card>& deck);
double backtrack(size_t depth) final;
void clue() final;
BacktrackAction play(std::uint8_t index) final;
BacktrackAction discard(std::uint8_t index) final;
void revert_clue() final;
void revert_play(const BacktrackAction &action, bool was_on_8_clues) final;
void revert_discard(const BacktrackAction &action) final;
[[nodiscard]] std::uint8_t find_card_in_hand(const Card& card) const final;
[[nodiscard]] bool is_trash(const Card& card) const final;
[[nodiscard]] bool is_playable(const Card& card) const final;
[[nodiscard]] std::uint64_t enumerated_states() const final;
void normalize_draw_and_positions() final;
auto operator<=>(const HanabiState &) const = default;
protected:
void print(std::ostream& os) const final;
private:
uint8_t draw(uint8_t index);
void revert_draw(std::uint8_t index, Card discarded_card);
void incr_turn();
void decr_turn();
player_t _turn{};
clue_t _num_clues{};
std::uint8_t _weighted_draw_pile_size{};
Stacks<num_suits> _stacks{};
std::array<std::array<Card, hand_size>, num_players> _hands{};
std::list<CardMultiplicity> _draw_pile{};
std::uint8_t _endgame_turns_left{};
static constexpr uint8_t no_endgame = std::numeric_limits<uint8_t>::max();
// further statistics that we might want to keep track of
uint8_t _pace{};
uint8_t _score{};
std::uint64_t _enumerated_states {};
};
template <std::size_t num_suits, player_t num_players, std::size_t hand_size>
bool same_up_to_discard_permutation(HanabiState<num_suits, num_players, hand_size> state1, HanabiState<num_suits, num_players, hand_size> state2) {
auto comp = [](CardMultiplicity &m1, CardMultiplicity &m2) -> bool {
return m1.card.suit < m2.card.suit || (m1.card.suit == m2.card.suit and m1.card.rank < m2.card.rank) ||
(m1.card.suit == m2.card.suit and m1.card.rank == m2.card.rank and m1.multiplicity < m2.multiplicity);
};
state1._draw_pile.sort(comp);
state2._draw_pile.sort(comp);
return state1 == state2;
}
}
#include "game_state.hpp"
#endif // DYNAMIC_PROGRAM_GAME_STATE_H