adjust sat solver to new files
This commit is contained in:
parent
8730551055
commit
ddeb19265d
2 changed files with 105 additions and 117 deletions
|
@ -233,6 +233,10 @@ class GameState():
|
||||||
def hand_size(self):
|
def hand_size(self):
|
||||||
return self.instance.hand_size
|
return self.instance.hand_size
|
||||||
|
|
||||||
|
@property
|
||||||
|
def deck_size(self):
|
||||||
|
return self.instance.deck_size
|
||||||
|
|
||||||
|
|
||||||
# Properties of GameState
|
# Properties of GameState
|
||||||
|
|
||||||
|
|
178
sat.py
178
sat.py
|
@ -4,12 +4,9 @@ import json
|
||||||
from typing import List
|
from typing import List
|
||||||
from concurrent.futures import ProcessPoolExecutor
|
from concurrent.futures import ProcessPoolExecutor
|
||||||
|
|
||||||
from compress import DeckCard, Action, ActionType, link, decompress_deck
|
from hanabi import DeckCard, Action, ActionType, GameState, HanabiInstance
|
||||||
from greedy_solver import GameState, GreedyStrategy
|
from compress import link, decompress_deck
|
||||||
|
from greedy_solver import GreedyStrategy
|
||||||
COLORS = 'rygbp'
|
|
||||||
STANDARD_HAND_SIZE = {2: 5, 3: 5, 4: 4, 5: 4, 6: 3}
|
|
||||||
NUM_STRIKES_TO_LOSE = 3
|
|
||||||
|
|
||||||
|
|
||||||
# literals to model game as sat instance to check for feasibility
|
# literals to model game as sat instance to check for feasibility
|
||||||
|
@ -17,33 +14,7 @@ NUM_STRIKES_TO_LOSE = 3
|
||||||
class Literals():
|
class Literals():
|
||||||
# num_suits is total number of suits, i.e. also counts the dark suits
|
# num_suits is total number of suits, i.e. also counts the dark suits
|
||||||
# default distribution among all suits is assumed
|
# default distribution among all suits is assumed
|
||||||
def __init__(self, num_players, num_suits, num_dark_suits=0):
|
def __init__(self, instance: HanabiInstance):
|
||||||
assert ( 2 <= num_players <= 6 )
|
|
||||||
|
|
||||||
## some game parameters
|
|
||||||
self.num_players = num_players
|
|
||||||
self.num_suits = num_suits
|
|
||||||
self.num_dark_suits = num_dark_suits
|
|
||||||
|
|
||||||
self.hand_size = STANDARD_HAND_SIZE[num_players]
|
|
||||||
self.num_strikes = NUM_STRIKES_TO_LOSE
|
|
||||||
self.deck_size = 10 * num_suits - 5 * num_dark_suits
|
|
||||||
self.distributed_cards = self.num_players * self.hand_size
|
|
||||||
self.draw_pile_size = self.deck_size - self.distributed_cards
|
|
||||||
|
|
||||||
## maximum number of moves in any game that can achieve max score
|
|
||||||
# each suit gives 15 moves, as we can play and discard 5 cards each and give 5 clues. dark suits only give 5 moves, since no discards are added
|
|
||||||
# number of cards that remain in players hands after end of game. they cost 2 turns each, since we cannot discard them and also have one clue less
|
|
||||||
# 8 clues at beginning, one further clue for each suit but one (the clue of the last 5 is never useful since it is gained in the extra-round)
|
|
||||||
# subtract a further move for a second 5-clue that can't be used in 5 or 6-player games, since the extraround starts too soon
|
|
||||||
self.max_moves = 15 * num_suits - 10 * num_dark_suits \
|
|
||||||
- 2 * num_players * (self.hand_size - 1) \
|
|
||||||
+ 8 + (num_suits - 1) \
|
|
||||||
+ (-1 if num_players >= 5 else 0)
|
|
||||||
|
|
||||||
###
|
|
||||||
# note that we generate 'literals' always one out of boundary and set them to explicit truth values. This makes sat formulation easier but has no actual overhead in solving it
|
|
||||||
# move are numbered starting with 0
|
|
||||||
|
|
||||||
# clues[m][i] == "after move m we have at least i clues"
|
# clues[m][i] == "after move m we have at least i clues"
|
||||||
self.clues = {
|
self.clues = {
|
||||||
|
@ -54,20 +25,20 @@ class Literals():
|
||||||
**{ i: Symbol('m{}clues{}'.format(m, i)) for i in range(1, 9) },
|
**{ i: Symbol('m{}clues{}'.format(m, i)) for i in range(1, 9) },
|
||||||
9: Bool(False) # never 9 or more clues. This will implicitly forbid discarding at 8 clues later
|
9: Bool(False) # never 9 or more clues. This will implicitly forbid discarding at 8 clues later
|
||||||
}
|
}
|
||||||
for m in range(self.max_moves)
|
for m in range(instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
# strikes[m][i] == "after move m we have at least i strikes"
|
# strikes[m][i] == "after move m we have at least i strikes"
|
||||||
self.strikes = {
|
self.strikes = {
|
||||||
-1: {i: Bool(i == 0) for i in range(0, self.num_strikes + 1)} # no strikes when we start
|
-1: {i: Bool(i == 0) for i in range(0, instance.num_strikes + 1)} # no strikes when we start
|
||||||
, **{
|
, **{
|
||||||
m: {
|
m: {
|
||||||
0: Bool(True),
|
0: Bool(True),
|
||||||
**{ s: Symbol('m{}strikes{}'.format(m,s)) for s in range(1, self.num_strikes) },
|
**{ s: Symbol('m{}strikes{}'.format(m,s)) for s in range(1, instance.num_strikes) },
|
||||||
self.num_strikes: Bool(False) # never so many clues that we lose. Implicitly forbids striking out
|
instance.num_strikes: Bool(False) # never so many clues that we lose. Implicitly forbids striking out
|
||||||
}
|
}
|
||||||
for m in range(self.max_moves)
|
for m in range(instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -75,8 +46,8 @@ class Literals():
|
||||||
self.extraround = {
|
self.extraround = {
|
||||||
-1: Bool(False)
|
-1: Bool(False)
|
||||||
, **{
|
, **{
|
||||||
m: Bool(False) if m < self.draw_pile_size else Symbol('m{}extra'.format(m)) # it takes at least as many turns as cards in the draw pile to start the extra round
|
m: Bool(False) if m < instance.draw_pile_size else Symbol('m{}extra'.format(m)) # it takes at least as many turns as cards in the draw pile to start the extra round
|
||||||
for m in range(0, self.max_moves)
|
for m in range(0, instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -84,26 +55,26 @@ class Literals():
|
||||||
self.dummyturn = {
|
self.dummyturn = {
|
||||||
-1: Bool(False)
|
-1: Bool(False)
|
||||||
, **{
|
, **{
|
||||||
m: Bool(False) if m < self.draw_pile_size + self.num_players else Symbol('m{}dummy'.format(m))
|
m: Bool(False) if m < instance.draw_pile_size + instance.num_players else Symbol('m{}dummy'.format(m))
|
||||||
for m in range(0, self.max_moves)
|
for m in range(0, instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
# draw[m][i] == "at move m we play/discard deck[i]"
|
# draw[m][i] == "at move m we play/discard deck[i]"
|
||||||
self.discard = {
|
self.discard = {
|
||||||
m: {i: Symbol('m{}discard{}'.format(m, i)) for i in range(self.deck_size)}
|
m: {i: Symbol('m{}discard{}'.format(m, i)) for i in range(instance.deck_size)}
|
||||||
for m in range(self.max_moves)
|
for m in range(instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
|
|
||||||
# draw[m][i] == "at move m we draw deck card i"
|
# draw[m][i] == "at move m we draw deck card i"
|
||||||
self.draw = {
|
self.draw = {
|
||||||
-1: { i: Bool(i == self.distributed_cards - 1) for i in range(self.distributed_cards - 1, self.deck_size) }
|
-1: { i: Bool(i == instance.num_dealt_cards - 1) for i in range(instance.num_dealt_cards - 1, instance.deck_size) }
|
||||||
, **{
|
, **{
|
||||||
m: {
|
m: {
|
||||||
self.distributed_cards - 1: Bool(False),
|
instance.num_dealt_cards - 1: Bool(False),
|
||||||
**{i: Symbol('m{}draw{}'.format(m, i)) for i in range(self.distributed_cards, self.deck_size)}
|
**{i: Symbol('m{}draw{}'.format(m, i)) for i in range(instance.num_dealt_cards, instance.deck_size)}
|
||||||
}
|
}
|
||||||
for m in range(self.max_moves)
|
for m in range(instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -112,61 +83,68 @@ class Literals():
|
||||||
-1: Bool(False)
|
-1: Bool(False)
|
||||||
, **{
|
, **{
|
||||||
m: Symbol('m{}newstrike'.format(m))
|
m: Symbol('m{}newstrike'.format(m))
|
||||||
for m in range(self.max_moves)
|
for m in range(instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
# progress[m][card = (suitIndex, rank)] == "after move m we have played in suitIndex up to rank"
|
# progress[m][card = (suitIndex, rank)] == "after move m we have played in suitIndex up to rank"
|
||||||
self.progress = {
|
self.progress = {
|
||||||
-1: {(s, r): Bool(r == 0) for s in range(0, self.num_suits) for r in range(0, 6)} # at start, have only played rank zero
|
-1: {(s, r): Bool(r == 0) for s in range(0, instance.num_suits) for r in range(0, 6)} # at start, have only played rank zero
|
||||||
, **{
|
, **{
|
||||||
m: {
|
m: {
|
||||||
**{(s, 0): Bool(True) for s in range(0, self.num_suits)},
|
**{(s, 0): Bool(True) for s in range(0, instance.num_suits)},
|
||||||
**{(s, r): Symbol('m{}progress{}{}'.format(m, s, r)) for s in range(0, self.num_suits) for r in range(1, 6)}
|
**{(s, r): Symbol('m{}progress{}{}'.format(m, s, r)) for s in range(0, instance.num_suits) for r in range(1, 6)}
|
||||||
}
|
}
|
||||||
for m in range(self.max_moves)
|
for m in range(instance.max_winning_moves)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
## Utility variables
|
## Utility variables
|
||||||
|
|
||||||
# discard_any[m] == "at move m we play/discard a card"
|
# discard_any[m] == "at move m we play/discard a card"
|
||||||
self.discard_any = { m: Symbol('m{}discard_any'.format(m)) for m in range(self.max_moves) }
|
self.discard_any = { m: Symbol('m{}discard_any'.format(m)) for m in range(instance.max_winning_moves) }
|
||||||
|
|
||||||
# draw_any[m] == "at move m we draw a card"
|
# draw_any[m] == "at move m we draw a card"
|
||||||
self.draw_any = {m: Symbol('m{}draw_any'.format(m)) for m in range(self.max_moves)}
|
self.draw_any = {m: Symbol('m{}draw_any'.format(m)) for m in range(instance.max_winning_moves)}
|
||||||
|
|
||||||
# play[m] == "at move m we play a card"
|
# play[m] == "at move m we play a card"
|
||||||
self.play = {m: Symbol('m{}play'.format(m)) for m in range(self.max_moves)}
|
self.play = {m: Symbol('m{}play'.format(m)) for m in range(instance.max_winning_moves)}
|
||||||
|
|
||||||
# play5[m] == "at move m we play a 5"
|
# play5[m] == "at move m we play a 5"
|
||||||
self.play5 = {m: Symbol('m{}play5'.format(m)) for m in range(self.max_moves)}
|
self.play5 = {m: Symbol('m{}play5'.format(m)) for m in range(instance.max_winning_moves)}
|
||||||
|
|
||||||
# incr_clues[m] == "at move m we obtain a clue"
|
# incr_clues[m] == "at move m we obtain a clue"
|
||||||
self.incr_clues = {m: Symbol('m{}c+'.format(m)) for m in range(self.max_moves)}
|
self.incr_clues = {m: Symbol('m{}c+'.format(m)) for m in range(instance.max_winning_moves)}
|
||||||
|
|
||||||
|
|
||||||
def solve_sat(game_state: GameState):
|
def solve_sat(starting_state: GameState | HanabiInstance):
|
||||||
ls = Literals(game_state.num_players, game_state.num_suits, game_state.num_dark_suits)
|
if isinstance(starting_state, HanabiInstance):
|
||||||
|
instance = starting_state
|
||||||
|
game_state = GameState(instance)
|
||||||
|
elif isinstance(starting_state, GameState):
|
||||||
|
instance = starting_state.instance
|
||||||
|
game_state = starting_state
|
||||||
|
else:
|
||||||
|
raise ValueError("Bad argument type")
|
||||||
|
|
||||||
|
ls = Literals(instance)
|
||||||
|
|
||||||
##### setup of initial game state
|
##### setup of initial game state
|
||||||
|
|
||||||
# properties used later to model valid moves
|
# properties used later to model valid moves
|
||||||
num_dark_suits = game_state.num_dark_suits
|
|
||||||
num_suits = game_state.num_suits
|
|
||||||
deck = game_state.deck
|
|
||||||
next_draw = game_state.progress
|
|
||||||
|
|
||||||
starting_hands = [[card.deck_index for card in hand] for hand in game_state.hands]
|
starting_hands = [[card.deck_index for card in hand] for hand in game_state.hands]
|
||||||
|
|
||||||
first_turn = len(game_state.actions)
|
first_turn = len(game_state.actions)
|
||||||
|
|
||||||
|
if isinstance(starting_state, GameState):
|
||||||
|
# have to set additional variables
|
||||||
|
|
||||||
# set initial clues
|
# set initial clues
|
||||||
for i in range(0,10):
|
for i in range(0,10):
|
||||||
ls.clues[first_turn - 1][i] = Bool(i <= game_state.clues)
|
ls.clues[first_turn - 1][i] = Bool(i <= game_state.clues)
|
||||||
|
|
||||||
# set initial strikes
|
# set initial strikes
|
||||||
for i in range(0, game_state.num_strikes + 1):
|
for i in range(0, instance.num_strikes + 1):
|
||||||
ls.strikes[first_turn - 1][i] = Bool(i <= game_state.strikes)
|
ls.strikes[first_turn - 1][i] = Bool(i <= game_state.strikes)
|
||||||
|
|
||||||
# check if extraround has started (usually not)
|
# check if extraround has started (usually not)
|
||||||
|
@ -177,10 +155,10 @@ def solve_sat(game_state: GameState):
|
||||||
# we just pretend that the last card drawn was in fact drawn last turn,
|
# we just pretend that the last card drawn was in fact drawn last turn,
|
||||||
# regardless of when it was actually drawn
|
# regardless of when it was actually drawn
|
||||||
for neg_turn in range(1, min(9, first_turn + 2)):
|
for neg_turn in range(1, min(9, first_turn + 2)):
|
||||||
for i in range(game_state.num_players * game_state.hand_size, game_state.deck_size):
|
for i in range(instance.num_players * instance.hand_size, instance.deck_size):
|
||||||
ls.draw[first_turn - neg_turn][i] = Bool(neg_turn == 1 and i == game_state.progress - 1)
|
ls.draw[first_turn - neg_turn][i] = Bool(neg_turn == 1 and i == game_state.progress - 1)
|
||||||
# forbid re-drawing of the last card drawn
|
# forbid re-drawing of the last card drawn
|
||||||
for m in range(first_turn, ls.max_moves):
|
for m in range(first_turn, instance.max_winning_moves):
|
||||||
ls.draw[m][game_state.progress - 1] = Bool(False)
|
ls.draw[m][game_state.progress - 1] = Bool(False)
|
||||||
|
|
||||||
|
|
||||||
|
@ -196,10 +174,10 @@ def solve_sat(game_state: GameState):
|
||||||
Implies(ls.dummyturn[m], Not(ls.discard_any[m])),
|
Implies(ls.dummyturn[m], Not(ls.discard_any[m])),
|
||||||
|
|
||||||
# definition of discard_any
|
# definition of discard_any
|
||||||
Iff(ls.discard_any[m], Or(ls.discard[m][i] for i in range(ls.deck_size))),
|
Iff(ls.discard_any[m], Or(ls.discard[m][i] for i in range(instance.deck_size))),
|
||||||
|
|
||||||
# definition of draw_any
|
# definition of draw_any
|
||||||
Iff(ls.draw_any[m], Or(ls.draw[m][i] for i in range(next_draw, ls.deck_size))),
|
Iff(ls.draw_any[m], Or(ls.draw[m][i] for i in range(game_state.progress, instance.deck_size))),
|
||||||
|
|
||||||
# ls.draw implies ls.discard (and converse true before the ls.extraround)
|
# ls.draw implies ls.discard (and converse true before the ls.extraround)
|
||||||
Implies(ls.draw_any[m], ls.discard_any[m]),
|
Implies(ls.draw_any[m], ls.discard_any[m]),
|
||||||
|
@ -209,7 +187,7 @@ def solve_sat(game_state: GameState):
|
||||||
Implies(ls.play[m], ls.discard_any[m]),
|
Implies(ls.play[m], ls.discard_any[m]),
|
||||||
|
|
||||||
# definition of ls.play5
|
# definition of ls.play5
|
||||||
Iff(ls.play5[m], And(ls.play[m], Or(ls.discard[m][i] for i in range(ls.deck_size) if deck[i].rank == 5))),
|
Iff(ls.play5[m], And(ls.play[m], Or(ls.discard[m][i] for i in range(instance.deck_size) if instance.deck[i].rank == 5))),
|
||||||
|
|
||||||
# definition of ls.incr_clues
|
# definition of ls.incr_clues
|
||||||
Iff(ls.incr_clues[m], And(ls.discard_any[m], Implies(ls.play[m], And(ls.play5[m], Not(ls.clues[m-1][8]))))),
|
Iff(ls.incr_clues[m], And(ls.discard_any[m], Implies(ls.play[m], And(ls.play5[m], Not(ls.clues[m-1][8]))))),
|
||||||
|
@ -225,38 +203,38 @@ def solve_sat(game_state: GameState):
|
||||||
Iff(ls.strike[m], And(ls.discard_any[m], Not(ls.play[m]), ls.clues[m-1][8])),
|
Iff(ls.strike[m], And(ls.discard_any[m], Not(ls.play[m]), ls.clues[m-1][8])),
|
||||||
|
|
||||||
# change of strikes
|
# change of strikes
|
||||||
*[Iff(ls.strikes[m][i], Or(ls.strikes[m-1][i], And(ls.strikes[m-1][i-1], ls.strike[m]))) for i in range(1, ls.num_strikes + 1)],
|
*[Iff(ls.strikes[m][i], Or(ls.strikes[m-1][i], And(ls.strikes[m-1][i-1], ls.strike[m]))) for i in range(1, instance.num_strikes + 1)],
|
||||||
|
|
||||||
# less than 0 clues not allowed
|
# less than 0 clues not allowed
|
||||||
Implies(Not(ls.discard_any[m]), Or(ls.clues[m-1][1], ls.dummyturn[m])),
|
Implies(Not(ls.discard_any[m]), Or(ls.clues[m-1][1], ls.dummyturn[m])),
|
||||||
|
|
||||||
# we can only draw card i if the last ls.drawn card was i-1
|
# we can only draw card i if the last ls.drawn card was i-1
|
||||||
*[Implies(ls.draw[m][i], Or(And(ls.draw[m0][i-1], *[Not(ls.draw_any[m1]) for m1 in range(m0+1, m)]) for m0 in range(max(first_turn - 1, m-9), m))) for i in range(next_draw, ls.deck_size)],
|
*[Implies(ls.draw[m][i], Or(And(ls.draw[m0][i-1], *[Not(ls.draw_any[m1]) for m1 in range(m0+1, m)]) for m0 in range(max(first_turn - 1, m-9), m))) for i in range(game_state.progress, instance.deck_size)],
|
||||||
|
|
||||||
# we can only draw at most one card (NOTE: redundant, FIXME: avoid quadratic formula)
|
# we can only draw at most one card (NOTE: redundant, FIXME: avoid quadratic formula)
|
||||||
AtMostOne(ls.draw[m][i] for i in range(next_draw, ls.deck_size)),
|
AtMostOne(ls.draw[m][i] for i in range(game_state.progress, instance.deck_size)),
|
||||||
|
|
||||||
# we can only discard a card if we drew it earlier...
|
# we can only discard a card if we drew it earlier...
|
||||||
*[Implies(ls.discard[m][i], Or(ls.draw[m0][i] for m0 in range(m-ls.num_players, first_turn - 1, -ls.num_players))) for i in range(next_draw, ls.deck_size)],
|
*[Implies(ls.discard[m][i], Or(ls.draw[m0][i] for m0 in range(m-instance.num_players, first_turn - 1, -instance.num_players))) for i in range(game_state.progress, instance.deck_size)],
|
||||||
|
|
||||||
# ...or if it was part of the initial hand
|
# ...or if it was part of the initial hand
|
||||||
*[Not(ls.discard[m][i]) for i in range(0, next_draw) if i not in starting_hands[m % ls.num_players] ],
|
*[Not(ls.discard[m][i]) for i in range(0, game_state.progress) if i not in starting_hands[m % instance.num_players] ],
|
||||||
|
|
||||||
# we can only discard a card if we did not discard it yet
|
# we can only discard a card if we did not discard it yet
|
||||||
*[Implies(ls.discard[m][i], And(Not(ls.discard[m0][i]) for m0 in range(m-ls.num_players, first_turn - 1, -ls.num_players))) for i in range(ls.deck_size)],
|
*[Implies(ls.discard[m][i], And(Not(ls.discard[m0][i]) for m0 in range(m-instance.num_players, first_turn - 1, -instance.num_players))) for i in range(instance.deck_size)],
|
||||||
|
|
||||||
# we can only discard at most one card (FIXME: avoid quadratic formula)
|
# we can only discard at most one card (FIXME: avoid quadratic formula)
|
||||||
AtMostOne(ls.discard[m][i] for i in range(ls.deck_size)),
|
AtMostOne(ls.discard[m][i] for i in range(instance.deck_size)),
|
||||||
|
|
||||||
# we can only play a card if it matches the progress
|
# we can only play a card if it matches the progress
|
||||||
*[Implies(
|
*[Implies(
|
||||||
And(ls.discard[m][i], ls.play[m]),
|
And(ls.discard[m][i], ls.play[m]),
|
||||||
And(
|
And(
|
||||||
Not(ls.progress[m-1][deck[i].suitIndex, deck[i].rank]),
|
Not(ls.progress[m-1][instance.deck[i].suitIndex, instance.deck[i].rank]),
|
||||||
ls.progress[m-1][deck[i].suitIndex, deck[i].rank-1 ]
|
ls.progress[m-1][instance.deck[i].suitIndex, instance.deck[i].rank-1 ]
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
for i in range(ls.deck_size)
|
for i in range(instance.deck_size)
|
||||||
],
|
],
|
||||||
|
|
||||||
# change of progress
|
# change of progress
|
||||||
|
@ -266,46 +244,46 @@ def solve_sat(game_state: GameState):
|
||||||
Or(
|
Or(
|
||||||
ls.progress[m-1][s, r],
|
ls.progress[m-1][s, r],
|
||||||
And(ls.play[m], Or(ls.discard[m][i]
|
And(ls.play[m], Or(ls.discard[m][i]
|
||||||
for i in range(0, ls.deck_size)
|
for i in range(0, instance.deck_size)
|
||||||
if deck[i] == DeckCard(s, r) ))
|
if instance.deck[i] == DeckCard(s, r) ))
|
||||||
)
|
)
|
||||||
)
|
)
|
||||||
for s in range(0, ls.num_suits)
|
for s in range(0, instance.num_suits)
|
||||||
for r in range(1, 6)
|
for r in range(1, 6)
|
||||||
],
|
],
|
||||||
|
|
||||||
# extra round bool
|
# extra round bool
|
||||||
Iff(ls.extraround[m], Or(ls.extraround[m-1], ls.draw[m-1][ls.deck_size-1])),
|
Iff(ls.extraround[m], Or(ls.extraround[m-1], ls.draw[m-1][instance.deck_size-1])),
|
||||||
|
|
||||||
# dummy turn bool
|
# dummy turn bool
|
||||||
*[Iff(ls.dummyturn[m], Or(ls.dummyturn[m-1], ls.draw[m-1 - ls.num_players][ls.deck_size-1])) for i in range(0,1) if m >= ls.num_players]
|
*[Iff(ls.dummyturn[m], Or(ls.dummyturn[m-1], ls.draw[m-1 - instance.num_players][instance.deck_size-1])) for i in range(0,1) if m >= instance.num_players]
|
||||||
)
|
)
|
||||||
|
|
||||||
win = And(
|
win = And(
|
||||||
# maximum progress at each color
|
# maximum progress at each color
|
||||||
*[ls.progress[ls.max_moves-1][s, 5] for s in range(0, ls.num_suits)],
|
*[ls.progress[instance.max_winning_moves-1][s, 5] for s in range(0, instance.num_suits)],
|
||||||
|
|
||||||
# played every color/value combination (NOTE: redundant, but makes solving faster)
|
# played every color/value combination (NOTE: redundant, but makes solving faster)
|
||||||
*[
|
*[
|
||||||
Or(
|
Or(
|
||||||
And(ls.discard[m][i], ls.play[m])
|
And(ls.discard[m][i], ls.play[m])
|
||||||
for m in range(first_turn, ls.max_moves)
|
for m in range(first_turn, instance.max_winning_moves)
|
||||||
for i in range(ls.deck_size)
|
for i in range(instance.deck_size)
|
||||||
if game_state.deck[i] == DeckCard(s, r)
|
if game_state.deck[i] == DeckCard(s, r)
|
||||||
)
|
)
|
||||||
for s in range(0, ls.num_suits)
|
for s in range(0, instance.num_suits)
|
||||||
for r in range(1, 6)
|
for r in range(1, 6)
|
||||||
if r > game_state.stacks[s]
|
if r > game_state.stacks[s]
|
||||||
]
|
]
|
||||||
)
|
)
|
||||||
|
|
||||||
constraints = And(*[valid_move(m) for m in range(first_turn, ls.max_moves)], win)
|
constraints = And(*[valid_move(m) for m in range(first_turn, instance.max_winning_moves)], win)
|
||||||
# print('Solving instance with {} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_size(constraints)))
|
# print('Solving instance with {} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_size(constraints)))
|
||||||
|
|
||||||
model = get_model(constraints)
|
model = get_model(constraints)
|
||||||
if model:
|
if model:
|
||||||
# print_model(model, game_state, ls)
|
# print_model(model, game_state, ls)
|
||||||
solution = toJSON(model, game_state, ls)
|
solution = evaluate_model(model, game_state, ls)
|
||||||
return True, solution
|
return True, solution
|
||||||
else:
|
else:
|
||||||
#conj = list(conjunctive_partition(constraints))
|
#conj = list(conjunctive_partition(constraints))
|
||||||
|
@ -316,6 +294,7 @@ def solve_sat(game_state: GameState):
|
||||||
# print(f.serialize())
|
# print(f.serialize())
|
||||||
return False, None
|
return False, None
|
||||||
|
|
||||||
|
|
||||||
def print_model(model, cur_game_state, ls: Literals):
|
def print_model(model, cur_game_state, ls: Literals):
|
||||||
deck = cur_game_state.deck
|
deck = cur_game_state.deck
|
||||||
for m in range(ls.max_moves):
|
for m in range(ls.max_moves):
|
||||||
|
@ -330,12 +309,15 @@ def print_model(model, cur_game_state, ls: Literals):
|
||||||
print(', '.join(f for f in flags if model.get_py_value(getattr(ls, f)[m])))
|
print(', '.join(f for f in flags if model.get_py_value(getattr(ls, f)[m])))
|
||||||
|
|
||||||
|
|
||||||
def toJSON(model, cur_game_state: GameState, ls: Literals) -> GameState:
|
|
||||||
for m in range(len(cur_game_state.actions), ls.max_moves):
|
# given the initial game state and the model found by the SAT solver,
|
||||||
|
# evaluates the model to produce a full game history
|
||||||
|
def evaluate_model(model, cur_game_state: GameState, ls: Literals) -> GameState:
|
||||||
|
for m in range(len(cur_game_state.actions), cur_game_state.instance.max_winning_moves):
|
||||||
if model.get_py_value(ls.dummyturn[m]):
|
if model.get_py_value(ls.dummyturn[m]):
|
||||||
break
|
break
|
||||||
if model.get_py_value(ls.discard_any[m]):
|
if model.get_py_value(ls.discard_any[m]):
|
||||||
card_idx = next(i for i in range(0, ls.deck_size) if model.get_py_value(ls.discard[m][i]))
|
card_idx = next(i for i in range(0, cur_game_state.instance.deck_size) if model.get_py_value(ls.discard[m][i]))
|
||||||
if model.get_py_value(ls.play[m]) or model.get_py_value(ls.strike[m]):
|
if model.get_py_value(ls.play[m]) or model.get_py_value(ls.strike[m]):
|
||||||
cur_game_state.play(card_idx)
|
cur_game_state.play(card_idx)
|
||||||
else:
|
else:
|
||||||
|
@ -345,6 +327,8 @@ def toJSON(model, cur_game_state: GameState, ls: Literals) -> GameState:
|
||||||
|
|
||||||
return cur_game_state
|
return cur_game_state
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
def run_deck():
|
def run_deck():
|
||||||
puzzle = False
|
puzzle = False
|
||||||
if puzzle:
|
if puzzle:
|
||||||
|
@ -361,7 +345,7 @@ def run_deck():
|
||||||
|
|
||||||
print(deck)
|
print(deck)
|
||||||
|
|
||||||
gs = GameState(num_p, deck)
|
gs = GameState(HanabiInstance(deck, num_p))
|
||||||
if puzzle:
|
if puzzle:
|
||||||
gs.play(2)
|
gs.play(2)
|
||||||
else:
|
else:
|
||||||
|
@ -372,7 +356,7 @@ def run_deck():
|
||||||
solvable, sol = solve_sat(gs)
|
solvable, sol = solve_sat(gs)
|
||||||
if solvable:
|
if solvable:
|
||||||
print(sol)
|
print(sol)
|
||||||
print(link(sol.to_json()))
|
print(link(sol))
|
||||||
else:
|
else:
|
||||||
print('unsolvable')
|
print('unsolvable')
|
||||||
|
|
||||||
|
|
Loading…
Reference in a new issue