refactor file: use methods dependent on deck type

This commit is contained in:
Maximilian Keßler 2023-02-28 22:30:27 +01:00
parent 8abe9fd257
commit aae9dec351
Signed by: max
GPG Key ID: BCC5A619923C0BA5

172
sat.py
View File

@ -1,13 +1,15 @@
from pysmt.shortcuts import Symbol, Bool, Not, Implies, Iff, And, Or, AtMostOne, ExactlyOne, get_model, get_atoms, get_formula_size, get_unsat_core
from pysmt.rewritings import conjunctive_partition
import json
MAX_MOVES = 60
MAX_MOVES = 56
NUM_STRIKES = 3
NUM_PLAYERS = 5
COLORS = 'rygbp'
colors = 'rygbp'
deck_str = 'p5 p3 b4 r5 y4 y4 y5 r4 b2 y2 y3 g5 g2 g3 g4 p4 r3 b2 b3 b3 p4 b1 p2 b1 b1 p2 p1 p1 g1 r4 g1 r1 r3 r1 g1 r1 p1 b4 p3 g2 g3 g4 b5 y1 y1 y1 r2 r2 y2 y3'
deck = [(s[0], int(s[1])) for s in deck_str.split(' ')]
# instance independent names of variables
# clues[m][i] == "after move m we have at least i clues"
clues = {-1: {i: Bool(i < 9) for i in range(0, 10)}, **{m: {0: Bool(True), 9: Bool(False), **{i: Symbol('m{}c{}'.format(m, i)) for i in range(1, 9)}} for m in range(MAX_MOVES)}}
@ -26,7 +28,7 @@ draw = {-1: {i: Bool(i == 19) for i in range(19, 50)}, **{m: {19: Bool(False), *
# draw[m][i] == "at move m we play/discard deck[i]"
discard = {m: {i: Symbol('m{}-{}'.format(m, i)) for i in range(50)} for m in range(MAX_MOVES)}
# progress[m][c, k] == "after move m we have played in color c until k"
progress = {-1: {(c, k): Bool(k == 0) for c in colors for k in range(6)}, **{m: {**{(c, 0): Bool(True) for c in colors}, **{(c, k): Symbol('m{}:{}{}'.format(m, c, k)) for c in colors for k in range(1, 6)}} for m in range(MAX_MOVES)}}
progress = {-1: {(c, k): Bool(k == 0) for c in COLORS for k in range(6)}, **{m: {**{(c, 0): Bool(True) for c in COLORS}, **{(c, k): Symbol('m{}:{}{}'.format(m, c, k)) for c in COLORS for k in range(1, 6)}} for m in range(MAX_MOVES)}}
# discard_any[m] == "at move m we play/discard a card"
discard_any = {m: Symbol('m{}d'.format(m)) for m in range(MAX_MOVES)}
# draw_any[m] == "at move m we draw a card"
@ -38,20 +40,99 @@ play5 = {m: Symbol('m{}p5'.format(m)) for m in range(MAX_MOVES)}
# incr_clues[m] == "at move m we obtain a clue"
incr_clues = {m: Symbol('m{}c+'.format(m)) for m in range(MAX_MOVES)}
def print_model(model):
def solve(deck_str):
deck = [(s[0], int(s[1])) for s in deck_str.split(' ')]
valid_move = lambda m: And(
Implies(dummyturn[m], Not(discard_any[m])),
# definition of discard_any
Iff(discard_any[m], Or(discard[m][i] for i in range(50))),
# definition of draw_any
Iff(draw_any[m], Or(draw[m][i] for i in range(20, 50))),
# draw implies discard (and converse true before last 5 moves)
Implies(draw_any[m], discard_any[m]),
Implies(discard_any[m], Or(extraround[m], draw_any[m])),
# play requires discard
Implies(play[m], discard_any[m]),
# definition of play5
Iff(play5[m], And(play[m], Or(discard[m][i] for i in range(50) if deck[i][1] == 5))),
# definition of incr_clues
Iff(incr_clues[m], And(discard_any[m], Implies(play[m], And(play5[m], Not(clues[m-1][8]))))),
#Iff(incr_clues[m], And(discard_any[m], Implies(play[m], play5[m]))),
# change of clues
*[Iff(clues[m][i], Or(clues[m-1][i+1], And(clues[m-1][i], Or(discard_any[m], dummyturn[m])), And(clues[m-1][i-1], incr_clues[m]))) for i in range(1, 9)],
## more than 8 clues not allowed, discarding produces a strike
Iff(strike[m], And(discard_any[m], Not(play[m]), clues[m-1][8])),
# change of strikes
*[Iff(strikes[m][i], Or(strikes[m-1][i], And(strikes[m-1][i-1], strike[m]))) for i in range(1, NUM_STRIKES+1)],
# less than 0 clues not allowed
Implies(Not(discard_any[m]), Or(clues[m-1][1], dummyturn[m])),
# we can only draw card i if the last drawn card was i-1
*[Implies(draw[m][i], Or(And(draw[m0][i-1], *[Not(draw_any[m1]) for m1 in range(m0+1, m)]) for m0 in range(max(-1, m-9), m))) for i in range(20, 50)],
#*[Implies(draw[m][i], Not(draw[m0][i])) for m0 in range(m) for i in range(20, 50)],
#*[Implies(draw[m][i], Or(draw[m0][i-1] for m0 in range(max(-1, m-9), m))) for i in range(20, 50)],
# we can only draw at most one card (NOTE: redundant, FIXME: avoid quadratic formula)
AtMostOne(draw[m][i] for i in range(20, 50)),
#*[Not(And(draw[m][i], draw[m][j])) for i in range(20, 50) for j in range(20, i)],
# we can only discard a card if we drew it earlier...
*[Implies(discard[m][i], Or(draw[m0][i] for m0 in range(m-5, -1, -5))) for i in range(20, 50)],
# ...or if it was part of the initial hand
*[Not(discard[m][i]) for i in range(20) if i//4 != m%5],
# we can only discard a card if we did not discard it yet
*[Implies(discard[m][i], And(Not(discard[m0][i]) for m0 in range(m-5, -1, -5))) for i in range(50)],
# we can only discard at most one card (FIXME: avoid quadratic formula)
AtMostOne(discard[m][i] for i in range(50)),
#*[Not(And(discard[m][i], discard[m][j])) for i in range(50) for j in range(i)],
# we can only play a card if it matches the progress
*[Implies(And(discard[m][i], play[m]), And(Not(progress[m-1][deck[i]]), progress[m-1][deck[i][0], deck[i][1]-1])) for i in range(50)],
# change of progress
*[Iff(progress[m][c, k], Or(progress[m-1][c, k], And(play[m], Or(discard[m][i] for i in range(50) if deck[i] == (c, k))))) for c in COLORS for k in range(1, 6)],
# extra round bool
Iff(extraround[m], Or(extraround[m-1], draw[m-1][49])),
# dummy turn bool
*[Iff(dummyturn[m], Or(dummyturn[m-1], draw[m-6][49])) for i in range(0,1) if m >= 5]
)
win = And(
# maximum progress at each color
*[progress[MAX_MOVES-1][c, 5] for c in COLORS],
# played every color/value combination (NOTE: redundant)
*[Or(And(discard[m][i], play[m]) for m in range(MAX_MOVES) for i in range(50) if deck[i] == (c, k)) for c in COLORS for k in range(1, 6)]
)
constraints = And(*[valid_move(m) for m in range(MAX_MOVES)], win)
print('{} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_size(constraints)))
model = get_model(constraints)
if model:
# print_model(model, deck)
print(toJSON(model, deck))
return True
else:
print('unsatisfiable')
return False
#conj = list(conjunctive_partition(constraints))
#print('statements: {}'.format(len(conj)))
#ucore = get_unsat_core(conj)
#print('unsat core size: {}'.format(len(ucore)))
#for f in ucore:
# print(f.serialize())
def print_model(model, deck):
for m in range(MAX_MOVES):
print('=== move {} ==='.format(m))
print('clues: ' + ''.join(str(i) for i in range(1, 9) if model.get_py_value(clues[m][i])))
print('strikes: ' + ''.join(str(i) for i in range(1, NUM_STRIKES) if model.get_py_value(strikes[m][i])))
print('draw: ' + ', '.join('{} [{}{}]'.format(i, deck[i][0], deck[i][1]) for i in range(20, 50) if model.get_py_value(draw[m][i])))
print('discard: ' + ', '.join('{} [{}{}]'.format(i, deck[i][0], deck[i][1]) for i in range(50) if model.get_py_value(discard[m][i])))
for c in colors:
for c in COLORS:
print('progress {}: '.format(c) + ''.join(str(k) for k in range(1, 6) if model.get_py_value(progress[m][c, k])))
flags = ['discard_any', 'draw_any', 'play', 'play5', 'incr_clues', 'strike', 'extraround', 'dummyturn']
print(', '.join(f for f in flags if model.get_py_value(globals()[f][m])))
def toJSON(model):
deck_json = [{"suitIndex": colors.index(s), "rank": r} for (s,r) in deck]
def toJSON(model, deck):
deck_json = [{"suitIndex": COLORS.index(s), "rank": r} for (s,r) in deck]
players = ["Alice", "Bob", "Cathy", "Donald", "Emily"]
hands = [deck[4*p:4*(p+1)] for p in range(0,5)]
actions = []
@ -94,77 +175,6 @@ def toJSON(model):
"variant": "No Variant",
}
}
print(json.dumps(game))
return json.dumps(game)
valid_move = lambda m: And(
Implies(dummyturn[m], Not(discard_any[m])),
# definition of discard_any
Iff(discard_any[m], Or(discard[m][i] for i in range(50))),
# definition of draw_any
Iff(draw_any[m], Or(draw[m][i] for i in range(20, 50))),
# draw implies discard (and converse true before last 5 moves)
Implies(draw_any[m], discard_any[m]),
Implies(discard_any[m], Or(extraround[m], draw_any[m])),
# play requires discard
Implies(play[m], discard_any[m]),
# definition of play5
Iff(play5[m], And(play[m], Or(discard[m][i] for i in range(50) if deck[i][1] == 5))),
# definition of incr_clues
Iff(incr_clues[m], And(discard_any[m], Implies(play[m], And(play5[m], Not(clues[m-1][8]))))),
#Iff(incr_clues[m], And(discard_any[m], Implies(play[m], play5[m]))),
# change of clues
*[Iff(clues[m][i], Or(clues[m-1][i+1], And(clues[m-1][i], Or(discard_any[m], dummyturn[m])), And(clues[m-1][i-1], incr_clues[m]))) for i in range(1, 9)],
## more than 8 clues not allowed, discarding produces a strike
Iff(strike[m], And(discard_any[m], Not(play[m]), clues[m-1][8])),
# change of strikes
*[Iff(strikes[m][i], Or(strikes[m-1][i], And(strikes[m-1][i-1], strike[m]))) for i in range(1, NUM_STRIKES+1)],
# less than 0 clues not allowed
Implies(Not(discard_any[m]), Or(clues[m-1][1], dummyturn[m])),
# we can only draw card i if the last drawn card was i-1
*[Implies(draw[m][i], Or(And(draw[m0][i-1], *[Not(draw_any[m1]) for m1 in range(m0+1, m)]) for m0 in range(max(-1, m-9), m))) for i in range(20, 50)],
#*[Implies(draw[m][i], Not(draw[m0][i])) for m0 in range(m) for i in range(20, 50)],
#*[Implies(draw[m][i], Or(draw[m0][i-1] for m0 in range(max(-1, m-9), m))) for i in range(20, 50)],
# we can only draw at most one card (NOTE: redundant, FIXME: avoid quadratic formula)
AtMostOne(draw[m][i] for i in range(20, 50)),
#*[Not(And(draw[m][i], draw[m][j])) for i in range(20, 50) for j in range(20, i)],
# we can only discard a card if we drew it earlier...
*[Implies(discard[m][i], Or(draw[m0][i] for m0 in range(m-5, -1, -5))) for i in range(20, 50)],
# ...or if it was part of the initial hand
*[Not(discard[m][i]) for i in range(20) if i//4 != m%5],
# we can only discard a card if we did not discard it yet
*[Implies(discard[m][i], And(Not(discard[m0][i]) for m0 in range(m-5, -1, -5))) for i in range(50)],
# we can only discard at most one card (FIXME: avoid quadratic formula)
AtMostOne(discard[m][i] for i in range(50)),
#*[Not(And(discard[m][i], discard[m][j])) for i in range(50) for j in range(i)],
# we can only play a card if it matches the progress
*[Implies(And(discard[m][i], play[m]), And(Not(progress[m-1][deck[i]]), progress[m-1][deck[i][0], deck[i][1]-1])) for i in range(50)],
# change of progress
*[Iff(progress[m][c, k], Or(progress[m-1][c, k], And(play[m], Or(discard[m][i] for i in range(50) if deck[i] == (c, k))))) for c in colors for k in range(1, 6)],
# extra round bool
Iff(extraround[m], Or(extraround[m-1], draw[m-1][49])),
# dummy turn bool
*[Iff(dummyturn[m], Or(dummyturn[m-1], draw[m-6][49])) for i in range(0,1) if m >= 5]
)
win = And(
# maximum progress at each color
*[progress[MAX_MOVES-1][c, 5] for c in colors],
# played every color/value combination (NOTE: redundant)
*[Or(And(discard[m][i], play[m]) for m in range(MAX_MOVES) for i in range(50) if deck[i] == (c, k)) for c in colors for k in range(1, 6)]
)
constraints = And(*[valid_move(m) for m in range(MAX_MOVES)], win)
print('{} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_size(constraints)))
model = get_model(constraints)
if model:
print_model(model)
toJSON(model)
else:
print('unsatisfiable')
#conj = list(conjunctive_partition(constraints))
#print('statements: {}'.format(len(conj)))
#ucore = get_unsat_core(conj)
#print('unsat core size: {}'.format(len(ucore)))
#for f in ucore:
# print(f.serialize())
solve(deck_str)