refactor file: use methods dependent on deck type
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158
sat.py
158
sat.py
@ -1,13 +1,15 @@
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from pysmt.shortcuts import Symbol, Bool, Not, Implies, Iff, And, Or, AtMostOne, ExactlyOne, get_model, get_atoms, get_formula_size, get_unsat_core
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from pysmt.rewritings import conjunctive_partition
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import json
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MAX_MOVES = 60
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MAX_MOVES = 56
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NUM_STRIKES = 3
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NUM_PLAYERS = 5
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COLORS = 'rygbp'
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colors = 'rygbp'
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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'
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deck = [(s[0], int(s[1])) for s in deck_str.split(' ')]
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# instance independent names of variables
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# clues[m][i] == "after move m we have at least i clues"
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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)}}
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@ -26,7 +28,7 @@ draw = {-1: {i: Bool(i == 19) for i in range(19, 50)}, **{m: {19: Bool(False), *
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# draw[m][i] == "at move m we play/discard deck[i]"
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discard = {m: {i: Symbol('m{}-{}'.format(m, i)) for i in range(50)} for m in range(MAX_MOVES)}
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# progress[m][c, k] == "after move m we have played in color c until k"
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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)}}
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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)}}
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# discard_any[m] == "at move m we play/discard a card"
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discard_any = {m: Symbol('m{}d'.format(m)) for m in range(MAX_MOVES)}
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# draw_any[m] == "at move m we draw a card"
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@ -38,65 +40,11 @@ play5 = {m: Symbol('m{}p5'.format(m)) for m in range(MAX_MOVES)}
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# incr_clues[m] == "at move m we obtain a clue"
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incr_clues = {m: Symbol('m{}c+'.format(m)) for m in range(MAX_MOVES)}
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def print_model(model):
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for m in range(MAX_MOVES):
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print('=== move {} ==='.format(m))
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print('clues: ' + ''.join(str(i) for i in range(1, 9) if model.get_py_value(clues[m][i])))
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print('strikes: ' + ''.join(str(i) for i in range(1, NUM_STRIKES) if model.get_py_value(strikes[m][i])))
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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])))
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print('discard: ' + ', '.join('{} [{}{}]'.format(i, deck[i][0], deck[i][1]) for i in range(50) if model.get_py_value(discard[m][i])))
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for c in colors:
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print('progress {}: '.format(c) + ''.join(str(k) for k in range(1, 6) if model.get_py_value(progress[m][c, k])))
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flags = ['discard_any', 'draw_any', 'play', 'play5', 'incr_clues', 'strike', 'extraround', 'dummyturn']
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print(', '.join(f for f in flags if model.get_py_value(globals()[f][m])))
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def toJSON(model):
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deck_json = [{"suitIndex": colors.index(s), "rank": r} for (s,r) in deck]
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players = ["Alice", "Bob", "Cathy", "Donald", "Emily"]
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hands = [deck[4*p:4*(p+1)] for p in range(0,5)]
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actions = []
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for m in range(MAX_MOVES):
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if model.get_py_value(dummyturn[m]):
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break
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if model.get_py_value(discard_any[m]):
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discarded = next(i for i in range(0,50) if model.get_py_value(discard[m][i]))
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icard = hands[m % 5].index(deck[discarded])
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for i in range(icard, 3):
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hands[m % 5][i] = hands[m % 5][i + 1]
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if model.get_py_value(draw_any[m]):
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hands[m % 5][3] = next(deck[i] for i in range(20, 50) if model.get_py_value(draw[m][i]))
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if model.get_py_value(play[m]) or model.get_py_value(strike[m]):
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actions.append({
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"type": 0,
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"target": discarded
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})
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else:
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actions.append({
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"type": 1,
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"target": discarded
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})
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else:
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actions.append({
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"type": 3,
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"target": (m + 1) % 5,
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"value": hands[(m+1) % 5][0][1]
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})
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actions.append({
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"type": 4,
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"value": 1
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})
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game = {
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"deck": deck_json,
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"players": players,
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"actions": actions,
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"first_player": 0,
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"options": {
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"variant": "No Variant",
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}
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}
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print(json.dumps(game))
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def solve(deck_str):
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deck = [(s[0], int(s[1])) for s in deck_str.split(' ')]
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valid_move = lambda m: And(
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valid_move = lambda m: And(
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Implies(dummyturn[m], Not(discard_any[m])),
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# definition of discard_any
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Iff(discard_any[m], Or(discard[m][i] for i in range(50))),
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@ -139,32 +87,94 @@ valid_move = lambda m: And(
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# we can only play a card if it matches the progress
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*[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)],
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# change of progress
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*[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)],
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*[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)],
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# extra round bool
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Iff(extraround[m], Or(extraround[m-1], draw[m-1][49])),
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# dummy turn bool
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*[Iff(dummyturn[m], Or(dummyturn[m-1], draw[m-6][49])) for i in range(0,1) if m >= 5]
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)
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)
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win = And(
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win = And(
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# maximum progress at each color
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*[progress[MAX_MOVES-1][c, 5] for c in colors],
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*[progress[MAX_MOVES-1][c, 5] for c in COLORS],
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# played every color/value combination (NOTE: redundant)
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*[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)]
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)
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*[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)]
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)
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constraints = And(*[valid_move(m) for m in range(MAX_MOVES)], win)
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print('{} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_size(constraints)))
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constraints = And(*[valid_move(m) for m in range(MAX_MOVES)], win)
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print('{} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_size(constraints)))
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model = get_model(constraints)
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if model:
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print_model(model)
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toJSON(model)
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else:
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model = get_model(constraints)
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if model:
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# print_model(model, deck)
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print(toJSON(model, deck))
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return True
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else:
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print('unsatisfiable')
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return False
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#conj = list(conjunctive_partition(constraints))
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#print('statements: {}'.format(len(conj)))
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#ucore = get_unsat_core(conj)
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#print('unsat core size: {}'.format(len(ucore)))
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#for f in ucore:
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# print(f.serialize())
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def print_model(model, deck):
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for m in range(MAX_MOVES):
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print('=== move {} ==='.format(m))
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print('clues: ' + ''.join(str(i) for i in range(1, 9) if model.get_py_value(clues[m][i])))
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print('strikes: ' + ''.join(str(i) for i in range(1, NUM_STRIKES) if model.get_py_value(strikes[m][i])))
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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])))
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print('discard: ' + ', '.join('{} [{}{}]'.format(i, deck[i][0], deck[i][1]) for i in range(50) if model.get_py_value(discard[m][i])))
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for c in COLORS:
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print('progress {}: '.format(c) + ''.join(str(k) for k in range(1, 6) if model.get_py_value(progress[m][c, k])))
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flags = ['discard_any', 'draw_any', 'play', 'play5', 'incr_clues', 'strike', 'extraround', 'dummyturn']
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print(', '.join(f for f in flags if model.get_py_value(globals()[f][m])))
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def toJSON(model, deck):
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deck_json = [{"suitIndex": COLORS.index(s), "rank": r} for (s,r) in deck]
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players = ["Alice", "Bob", "Cathy", "Donald", "Emily"]
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hands = [deck[4*p:4*(p+1)] for p in range(0,5)]
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actions = []
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for m in range(MAX_MOVES):
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if model.get_py_value(dummyturn[m]):
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break
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if model.get_py_value(discard_any[m]):
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discarded = next(i for i in range(0,50) if model.get_py_value(discard[m][i]))
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icard = hands[m % 5].index(deck[discarded])
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for i in range(icard, 3):
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hands[m % 5][i] = hands[m % 5][i + 1]
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if model.get_py_value(draw_any[m]):
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hands[m % 5][3] = next(deck[i] for i in range(20, 50) if model.get_py_value(draw[m][i]))
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if model.get_py_value(play[m]) or model.get_py_value(strike[m]):
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actions.append({
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"type": 0,
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"target": discarded
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})
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else:
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actions.append({
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"type": 1,
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"target": discarded
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})
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else:
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actions.append({
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"type": 3,
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"target": (m + 1) % 5,
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"value": hands[(m+1) % 5][0][1]
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})
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actions.append({
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"type": 4,
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"value": 1
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})
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game = {
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"deck": deck_json,
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"players": players,
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"actions": actions,
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"first_player": 0,
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"options": {
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"variant": "No Variant",
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}
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}
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return json.dumps(game)
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solve(deck_str)
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