convert found solutions into hanab.live json replay format
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48
sat.py
48
sat.py
@ -1,7 +1,8 @@
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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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colors = 'pbryg'
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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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MOVES = 52
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@ -42,6 +43,50 @@ def print_model(model):
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flags = ['discard_any', 'draw_any', 'play', 'play5', 'incr_clues', 'strike']
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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(MOVES):
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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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valid_move = lambda m: And(
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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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@ -99,6 +144,7 @@ print('{} variables, {} nodes'.format(len(get_atoms(constraints)), get_formula_s
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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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print('unsatisfiable')
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#conj = list(conjunctive_partition(constraints))
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