def test_compare(self):
"""
Test BestHandEval7 compare
"""
hand1 = BestHandEval7(Card.many_from_text("AsTdTs5sAc5cQd"))
hand2 = BestHandEval7(Card.many_from_text("AsTdTs5sAc5cJd"))
self.assertTrue(hand1 > hand2) # Q kicker beats J kicker
def do_test_re_deal(self, action, dealt, key, board, result, re_dealt,
iterations=1, delta=0.0):
"""
Worker function for testing re_deal
"""
# pylint:disable=R0913,R0914
action2 = ActionDetails(HandRange(action[0]),
HandRange(action[1]),
HandRange(action[2]), 2)
board2 = Card.many_from_text(board)
re_dealt2 = [(HandRange(text).generate_options(board2), ratio)
for text, ratio in re_dealt]
counts = [0 for _ in re_dealt2]
for _ndx in xrange(iterations):
dealt2 = {k: Card.many_from_text(val) for k, val in dealt.items()}
_te, fpct, _pp, _ap = re_deal(action2, dealt2, key, board2, False,
True)
continue_ratio = 1.0 - fpct
self.assertEqual(continue_ratio, result,
msg="Expected continue ratio %0.3f but got %0.3f" %
(result, continue_ratio))
for ndx, (options, ratio) in enumerate(re_dealt2):
if (frozenset(dealt2[key]), 1) in options:
counts[ndx] += 1
break
else:
self.fail("dealt[key]=%r not in expected re_dealt2 ranges: %r" %
(dealt2[key], re_dealt2))
for ndx, val in enumerate(counts):
expected = re_dealt[ndx][1] * iterations
self.assertAlmostEqual(val, expected, delta=delta,
msg=("Expected count %0.0f but got count %0.0f" + \
" for re_dealt item %s") % (expected, val, re_dealt[ndx][0]))
def test_cmp_options(self):
"""
Test _cmp_options
"""
cqh = Card.from_text("Qh")
ckh = Card.from_text("Kh")
cah = Card.from_text("Ah")
cks = Card.from_text("Ks")
ckc = Card.from_text("Kc")
kh_qh = set([ckh, cqh])
ah_kh = set([ckh, cah])
ks_kh = set([ckh, cks])
kh_kc = set([ckh, ckc])
self.assertEqual(-1, _cmp_options(kh_qh, ah_kh))
self.assertEqual(-1, _cmp_options(kh_qh, ks_kh))
self.assertEqual(-1, _cmp_options(kh_qh, kh_kc))
self.assertEqual(1, _cmp_options(ah_kh, kh_qh))
self.assertEqual(1, _cmp_options(ah_kh, ks_kh))
self.assertEqual(1, _cmp_options(ah_kh, kh_kc))
self.assertEqual(1, _cmp_options(ks_kh, kh_qh))
self.assertEqual(-1, _cmp_options(ks_kh, ah_kh))
self.assertEqual(1, _cmp_options(ks_kh, kh_kc))
self.assertEqual(1, _cmp_options(kh_kc, kh_qh))
self.assertEqual(-1, _cmp_options(kh_kc, ah_kh))
self.assertEqual(-1, _cmp_options(kh_kc, ks_kh))
def test_cmp_options(self):
"""
Test _cmp_options
"""
cqh = Card.from_text("Qh")
ckh = Card.from_text("Kh")
cah = Card.from_text("Ah")
cks = Card.from_text("Ks")
ckc = Card.from_text("Kc")
kh_qh = set([ckh, cqh])
ah_kh = set([ckh, cah])
ks_kh = set([ckh, cks])
kh_kc = set([ckh, ckc])
self.assertEqual(-1, _cmp_options(kh_qh, ah_kh))
self.assertEqual(-1, _cmp_options(kh_qh, ks_kh))
self.assertEqual(-1, _cmp_options(kh_qh, kh_kc))
self.assertEqual(1, _cmp_options(ah_kh, kh_qh))
self.assertEqual(1, _cmp_options(ah_kh, ks_kh))
self.assertEqual(1, _cmp_options(ah_kh, kh_kc))
self.assertEqual(1, _cmp_options(ks_kh, kh_qh))
self.assertEqual(-1, _cmp_options(ks_kh, ah_kh))
self.assertEqual(1, _cmp_options(ks_kh, kh_kc))
self.assertEqual(1, _cmp_options(kh_kc, kh_qh))
self.assertEqual(-1, _cmp_options(kh_kc, ah_kh))
self.assertEqual(-1, _cmp_options(kh_kc, ks_kh))
def from_afei(cls, afei):
"""
Create from AnalysisFoldEquityItem
"""
cards = [Card.from_text(afei.higher_card),
Card.from_text(afei.lower_card)]
return cls(cards, afei.is_aggressive, afei.is_passive, afei.is_fold,
afei.fold_ratio, afei.immediate_result,
afei.semibluff_ev,
afei.semibluff_equity)
def from_afei(cls, afei):
"""
Create from AnalysisFoldEquityItem
"""
cards = [Card.from_text(afei.higher_card),
Card.from_text(afei.lower_card)]
return cls(cards, afei.is_aggressive, afei.is_passive, afei.is_fold,
afei.fold_ratio, afei.immediate_result,
afei.semibluff_ev,
afei.semibluff_equity)
def test_create_afei_two_fodlers_reraise(self):
""" Test _create_afei for a reraise against two players"""
# raise from 30 to 50 on an original pot of 10
# profitable bluff
fea = FoldEquityAccumulator(
gameid=0,
order=0,
street=RIVER,
board=[],
bettor=0,
range_action=None,
raise_total=50,
pot_before_bet=50,
bet_cost=50,
pot_if_called=120, # assumes called by the raiser, not the bettor
potential_folders=[])
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range)) # folds 2/3
fold_range = HandRange("KK-JJ")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range)) # folds 5/6
afei = fea._create_afei(combo=Card.many_from_text("AsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 10.0 / 18.0)
self.assertAlmostEqual(afei.immediate_result,
10.0 / 18.0 * 50.0 + 8.0 / 18.0 * (-50.0)) # 5.55...
self.assertAlmostEqual(afei.semibluff_ev, None)
self.assertAlmostEqual(afei.semibluff_equity, None)
def generate_options(self, board=None):
"""
option is a list of (hand, weight)
"""
# TODO: 3: remove the concept of weighted options from HandRange
# It might still be worth having a WeightedHandRange, specifically for
# situations, but then convert to (unweighted) HandRange when the game
# starts.
excluded_cards = board or []
excluded_mnemonics = [card.to_mnemonic() for card in excluded_cards]
# it's really nice for this to be a list, for self.polarise_weights
options = []
for part, weight in self.subranges:
option_mnemonics = hands_in_subrange(part) # list of e.g. "AhKh"
not_excluded = lambda hand: (hand[
0:2] not in excluded_mnemonics and hand[2:4] not in
excluded_mnemonics)
option_mnemonics = [o for o in option_mnemonics if not_excluded(o)]
hands = [
frozenset(Card.many_from_text(txt)) for txt in option_mnemonics
]
options.extend([(hand, weight) for hand in hands])
if self.is_strict:
return options
else:
return list(set(options))
def test_create_afei_one_folder_reraise(self):
""" Test _create_afei for a reraise against one player"""
# raise from 30 to 50 on an original pot of 10
# unprofitable bluff
fea = FoldEquityAccumulator(
gameid=0,
order=0,
street=PREFLOP,
board=[],
bettor=0,
range_action=None,
raise_total=50,
pot_before_bet=50,
bet_cost=40,
pot_if_called=110,
potential_folders=[])
fold_range = HandRange("QQ")
nonfold_range = HandRange("AA-KK")
fea.folds.append((1, fold_range, nonfold_range))
afei = fea._create_afei(combo=Card.many_from_text("KsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 1.0 / 4.0)
self.assertAlmostEqual(afei.immediate_result,
1.0 / 4.0 * 50.0 + (3.0 / 4.0) * (-40.0)) # -17.5
self.assertAlmostEqual(afei.semibluff_ev, 4.0 / 3.0 * 17.5)
self.assertAlmostEqual(afei.semibluff_equity, 4.0 / 3.0 * 17.5 / 110.0)
def test_description(self):
"""
Test BestHandEval7 to string
"""
cards = Card.many_from_text("AsTdTs5sAc5cQd")
hand = BestHandEval7(cards)
self.assertEqual(str(hand), "two pair, Aces and Tens")
def test_create_afei_two_folders_bet(self):
""" Test _create_afei for a bet against two players"""
# bet 10 on a pot of 10
# profitable bluff
fea = FoldEquityAccumulator(
gameid=0,
order=0,
street=RIVER,
board=[],
bettor=0,
range_action=None,
raise_total=10,
pot_before_bet=10,
bet_cost=10,
pot_if_called=30,
potential_folders=[])
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range))
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range))
afei = fea._create_afei(combo=Card.many_from_text("AsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 4.0 / 9.0)
self.assertAlmostEqual(afei.immediate_result,
4.0 / 9.0 * 10.0 + (5.0 / 9.0) * (-10))
self.assertEqual(afei.semibluff_ev, None)
self.assertEqual(afei.semibluff_equity, None)
def test_create_afei_one_folder_raise(self):
""" Test _create_afei for a raise against one player"""
# raise from 10 to 30 on an original pot of 10
# profitable bluff
fea = FoldEquityAccumulator(
gameid=0,
order=0,
street=PREFLOP,
board=[],
bettor=0,
range_action=None,
raise_total=30,
pot_before_bet=20,
bet_cost=30,
pot_if_called=70,
potential_folders=[])
fold_range = HandRange("KK-JJ")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range))
afei = fea._create_afei(combo=Card.many_from_text("KsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 2.0 / 3.0)
self.assertAlmostEqual(afei.immediate_result,
2.0 / 3.0 * 20.0 + (1.0 / 3.0) * (-30.0)) # 3.33...
self.assertAlmostEqual(afei.semibluff_ev, -10.0)
self.assertAlmostEqual(afei.semibluff_equity, -10.0 / 70.0)
def test_hand_vs_range_monte_carlo(self):
hand = Card.many_from_text("AsAd")
villain = HandRange("AA,A3o,32s")
board = []
equity = py_hand_vs_range_monte_carlo(
hand, villain, board, 10000000)
self.assertAlmostEqual(equity, 0.85337, delta=0.002)
def test_create_afei_two_folders_raise(self):
""" Test _create_afei for a raise against two players"""
# raise from 10 to 30 on an original pot of 10
# unprofitable bluff
fea = FoldEquityAccumulator(gameid=0,
order=0,
street=RIVER,
board=[],
bettor=0,
range_action=None,
raise_total=30,
pot_before_bet=20,
bet_cost=30,
pot_if_called=70,
potential_folders=[])
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range)) # folds 2/3
fold_range = HandRange("QQ")
nonfold_range = HandRange("KK+")
fea.folds.append((1, fold_range, nonfold_range)) # folds 1/4
afei = fea._create_afei(combo=Card.many_from_text("AsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 1.0 / 6.0)
self.assertAlmostEqual(afei.immediate_result, 1.0 / 6.0 * 20.0 +
(5.0 / 6.0) * (-30)) # -21.66...
self.assertAlmostEqual(afei.semibluff_ev, None)
self.assertAlmostEqual(afei.semibluff_equity, None)
def test_create_afei_two_fodlers_reraise(self):
""" Test _create_afei for a reraise against two players"""
# raise from 30 to 50 on an original pot of 10
# profitable bluff
fea = FoldEquityAccumulator(
gameid=0,
order=0,
street=RIVER,
board=[],
bettor=0,
range_action=None,
raise_total=50,
pot_before_bet=50,
bet_cost=50,
pot_if_called=120, # assumes called by the raiser, not the bettor
potential_folders=[])
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range)) # folds 2/3
fold_range = HandRange("KK-JJ")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range)) # folds 5/6
afei = fea._create_afei(combo=Card.many_from_text("AsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 10.0 / 18.0)
self.assertAlmostEqual(afei.immediate_result, 10.0 / 18.0 * 50.0 +
8.0 / 18.0 * (-50.0)) # 5.55...
self.assertAlmostEqual(afei.semibluff_ev, None)
self.assertAlmostEqual(afei.semibluff_equity, None)
def generate_options_unweighted(self, board=None):
"""
just hand, no weight
error if weights are not all the same
"""
excluded_cards = board or []
excluded_mnemonics = [card.to_mnemonic() for card in excluded_cards]
# it's really nice for this to be a list, for self.polarise_weights
options = []
first_weight = None
for part, weight in self.subranges:
if first_weight == None:
first_weight = weight
elif weight != first_weight:
raise ValueError("range is not evenly weighted")
option_mnemonics = hands_in_subrange(part) # list of e.g. "AhKh"
not_excluded = lambda hand: (hand[0:2] not in excluded_mnemonics
and hand[2:4] not in excluded_mnemonics)
option_mnemonics = [o for o in option_mnemonics if not_excluded(o)]
hands = [frozenset(Card.many_from_text(txt))
for txt in option_mnemonics]
options.extend(hands)
if self.is_strict:
return options
else:
return list(set(options))
def test_create_afei_two_folders_bet(self):
""" Test _create_afei for a bet against two players"""
# bet 10 on a pot of 10
# profitable bluff
fea = FoldEquityAccumulator(gameid=0,
order=0,
street=RIVER,
board=[],
bettor=0,
range_action=None,
raise_total=10,
pot_before_bet=10,
bet_cost=10,
pot_if_called=30,
potential_folders=[])
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range))
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range))
afei = fea._create_afei(combo=Card.many_from_text("AsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 4.0 / 9.0)
self.assertAlmostEqual(afei.immediate_result,
4.0 / 9.0 * 10.0 + (5.0 / 9.0) * (-10))
self.assertEqual(afei.semibluff_ev, None)
self.assertEqual(afei.semibluff_equity, None)
def test_create_afei_two_folders_raise(self):
""" Test _create_afei for a raise against two players"""
# raise from 10 to 30 on an original pot of 10
# unprofitable bluff
fea = FoldEquityAccumulator(
gameid=0,
order=0,
street=RIVER,
board=[],
bettor=0,
range_action=None,
raise_total=30,
pot_before_bet=20,
bet_cost=30,
pot_if_called=70,
potential_folders=[])
fold_range = HandRange("KK")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range)) # folds 2/3
fold_range = HandRange("QQ")
nonfold_range = HandRange("KK+")
fea.folds.append((1, fold_range, nonfold_range)) # folds 1/4
afei = fea._create_afei(combo=Card.many_from_text("AsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 1.0 / 6.0)
self.assertAlmostEqual(afei.immediate_result,
1.0 / 6.0 * 20.0 + (5.0 / 6.0) * (-30)) # -21.66...
self.assertAlmostEqual(afei.semibluff_ev, None)
self.assertAlmostEqual(afei.semibluff_equity, None)
def inject_range_sizes(players, board_raw):
"""
Inject a range size into each situation player
"""
for player in players:
player.range_size = len(HandRange(player.range_raw).generate_options(
Card.many_from_text(board_raw)))
def generate_options_unweighted(self, board=None):
"""
just hand, no weight
error if weights are not all the same
"""
excluded_cards = board or []
excluded_mnemonics = [card.to_mnemonic() for card in excluded_cards]
# it's really nice for this to be a list, for self.polarise_weights
options = []
first_weight = None
for part, weight in self.subranges:
if first_weight == None:
first_weight = weight
elif weight != first_weight:
raise ValueError("range is not evenly weighted")
option_mnemonics = hands_in_subrange(part) # list of e.g. "AhKh"
not_excluded = lambda hand: (hand[
0:2] not in excluded_mnemonics and hand[2:4] not in
excluded_mnemonics)
option_mnemonics = [o for o in option_mnemonics if not_excluded(o)]
hands = [
frozenset(Card.many_from_text(txt)) for txt in option_mnemonics
]
options.extend(hands)
if self.is_strict:
return options
else:
return list(set(options))
def test_all_hands_vs_range(self):
hero = HandRange("AsAd,3h2c")
villain = HandRange("AA,A3o,32s")
board = []
equity_map = py_all_hands_vs_range(hero, villain, board, 10000000)
self.assertEqual(len(equity_map), 2)
hand1 = frozenset(Card.many_from_text("AsAd"))
hand2 = frozenset(Card.many_from_text("3h2c"))
self.assertAlmostEqual(equity_map[hand1], 0.85337, delta=0.002)
self.assertAlmostEqual(equity_map[hand2], 0.22865, delta=0.002)
# Hero has an impossible hand in his range.
hero = HandRange("JsJc,QsJs")
villain = HandRange("JJ")
board = Card.many_from_text("KhJd8c")
equity_map = py_all_hands_vs_range(hero, villain, board, 10000000)
hand = frozenset(Card.many_from_text("QsJs"))
self.assertAlmostEqual(equity_map[hand], 0.03687, delta=0.0002)
self.assertEqual(len(equity_map), 1)
def safe_board_form(field_name):
"""
Pull a board (list of Card) from request form field <field_name>.
If there is a problem, return an empty list.
"""
value = request.form.get(field_name, '', type=str)
try:
return Card.many_from_text(value)
except ValueError:
return []
def safe_board_form(field_name):
"""
Pull a board (list of Card) from request form field <field_name>.
If there is a problem, return an empty list.
"""
value = request.form.get(field_name, '', type=str)
try:
return Card.many_from_text(value)
except ValueError:
return []
def safe_board(arg_name):
"""
Pull a board (list of Card) from request arg <arg_name>.
If there is a problem, return an empty list.
"""
value = request.args.get(arg_name, '', type=str)
try:
return Card.many_from_text(value)
except ValueError:
return []
def safe_board(arg_name):
"""
Pull a board (list of Card) from request arg <arg_name>.
If there is a problem, return an empty list.
"""
value = request.args.get(arg_name, '', type=str)
try:
return Card.many_from_text(value)
except ValueError:
return []
def _test_calculate_equity(self, ranges_txt, board_txt, expect,
expect_iters):
from rvr.poker.handrange import HandRange
from rvr.poker.cards import Card
ranges = {"Player %d" % i: HandRange(ranges_txt[i])
for i in range(len(ranges_txt))}
board = Card.many_from_text(board_txt)
expected_results = {"Player %d" % i: expect[i]
for i in range(len(expect))}
results, iterations = showdown_equity(ranges, board, 20000)
self.assertEqual(iterations, expect_iters)
self.assert_equity_almost_equal(results, expected_results)
def process_board(self, item):
"""
Process a GameHistoryBoard
"""
self.contrib = {u:0 for u in self.remaining_userids}
self.left_to_act = self.remaining_userids[:]
assert self.fea is None
self.street = item.street
board_before = self.board
self.board = Card.many_from_text(item.cards)
board_after = self.board
self.board_payment(item, board_before, board_after)
def __init__(self, gameid, order, street, board, bettor, range_action,
raise_total, pot_before_bet, bet_cost, pot_if_called,
potential_folders):
logging.debug("gameid %d, FEA %d, initialising", gameid, order)
self.gameid = gameid
self.order = order
self.street = street
self.board = Card.many_from_text(board)
self.bettor = bettor
self.range_action = range_action
self.raise_total = raise_total
self.pot_before_bet = pot_before_bet
self.bet_cost = bet_cost
self.pot_if_called = pot_if_called
self.potential_folders = potential_folders # userids
self.folds = [] # list of (userid, fold_ratio)
def _add_card_combos(self):
"""
Populate table of RangeItem
"""
deck1 = [
Card(rank, suit) for rank in RANKS_HIGH_TO_LOW
for suit in SUITS_HIGH_TO_LOW
]
deck2 = deck1[:]
err = None
for card1 in deck1:
for card2 in deck2:
if card1 > card2:
err = err or self._add_card_combo(higher_card=card1,
lower_card=card2)
return err
def all_combos_ev(self, userid, local=False):
"""
Return a mapping of combo to EV at this point in the game tree, for each
combo in the user's range at this point.
Recall that a combo is a frozenset of two cards.
"""
user_range = self.ranges_by_userid[userid]
combos = user_range.generate_options(Card.many_from_text(self.board))
results = {}
for combo in combos:
try:
results[combo] = self.combo_ev(combo, userid, local)
except InvalidComboForTree as ex:
pass # TODO: 0.0: happening way too often!
return results
def __init__(self, gameid, order, street, board, bettor, range_action,
raise_total, pot_before_bet, bet_cost,
pot_if_called, potential_folders):
logging.debug("gameid %d, FEA %d, initialising",
gameid, order)
self.gameid = gameid
self.order = order
self.street = street
self.board = Card.many_from_text(board)
self.bettor = bettor
self.range_action = range_action
self.raise_total = raise_total
self.pot_before_bet = pot_before_bet
self.bet_cost = bet_cost
self.pot_if_called = pot_if_called
self.potential_folders = potential_folders # userids
self.folds = [] # list of (userid, fold_ratio)
def _test_estimate_showdown_equity(self, ranges_txt, board_txt, expect,
delta, iterations):
from rvr.poker.handrange import HandRange
from rvr.poker.cards import Card
ranges = {"Player %d" % i: HandRange(ranges_txt[i])
for i in range(len(ranges_txt))}
board = Card.many_from_text(board_txt)
expected_results = {"Player %d" % i: expect[i]
for i in range(len(expect))}
delta_by_player = {"Player %d" % i: delta[i]
for i in range(len(expect))}
options_by_player = {p: r.generate_options(board)
for p, r in ranges.iteritems()}
wins_by_player = _estimate_showdown_equity(options_by_player,
board, iterations)
print "\nwins_by_player: %r\n" % wins_by_player
self.assert_wins_almost_equal(wins_by_player, expected_results,
delta_by_player)
def test_range_contains_hand(self):
"""
Test range_contains_hand
"""
from rvr.poker import cards
range_ = HandRange("AA(5),KK")
hands_in = [[
Card(cards.ACE, cards.SPADES),
Card(cards.ACE, cards.HEARTS)
], [Card(cards.KING, cards.CLUBS),
Card(cards.KING, cards.DIAMONDS)]]
hands_out = [[
Card(cards.ACE, cards.SPADES),
Card(cards.KING, cards.HEARTS)
], [Card(cards.DEUCE, cards.CLUBS),
Card(cards.DEUCE, cards.DIAMONDS)]]
for hand_in in hands_in:
self.assertTrue(range_contains_hand(range_, hand_in))
for hand_out in hands_out:
self.assertFalse(range_contains_hand(range_, hand_out))
def generate_options(self, board=None):
"""
option is a list of hand
"""
excluded_cards = board or []
excluded_mnemonics = [card.to_mnemonic() for card in excluded_cards]
options = []
for part in self.subranges:
option_mnemonics = hands_in_subrange(part) # list of e.g. "AhKh"
not_excluded = lambda hand: (hand[0:2] not in excluded_mnemonics
and hand[2:4] not in excluded_mnemonics)
option_mnemonics = [o for o in option_mnemonics if not_excluded(o)]
hands = [frozenset(Card.many_from_text(txt))
for txt in option_mnemonics]
options.extend(hands)
if self.is_strict:
return options
else:
return list(set(options))
def _test_estimate_showdown_equity2(self, ranges_txt, board_txt, expect,
sds, iterations):
from rvr.poker.handrange import HandRange
from rvr.poker.cards import Card
ranges = {"Player %d" % i: HandRange(ranges_txt[i])
for i in range(len(ranges_txt))}
board = Card.many_from_text(board_txt)
sdev = [stddev_one(prob) for prob in expect] # e.g. p=0.05, sdev=0.2179
expected_results = {"Player %d" % i: expect[i] * iterations
for i in range(len(expect))}
delta_by_player = {"Player %d" % i: sds * sdev[i] * (iterations ** 0.5)
for i in range(len(expect))}
options_by_player = {p: r.generate_options(board)
for p, r in ranges.iteritems()}
wins_by_player = _estimate_showdown_equity(options_by_player,
board, iterations)
print "\nwins_by_player: %r\n" % wins_by_player
self.assert_wins_almost_equal(wins_by_player, expected_results,
delta_by_player)
def generate_options(self, board=None):
"""
option is a list of (hand, weight)
"""
excluded_cards = board or []
excluded_mnemonics = [card.to_mnemonic() for card in excluded_cards]
# it's really nice for this to be a list, for self.polarise_weights
options = []
for part, weight in self.subranges:
option_mnemonics = hands_in_subrange(part) # list of e.g. "AhKh"
not_excluded = lambda hand: (hand[0:2] not in excluded_mnemonics
and hand[2:4] not in excluded_mnemonics)
option_mnemonics = [o for o in option_mnemonics if not_excluded(o)]
hands = [frozenset(Card.many_from_text(txt))
for txt in option_mnemonics]
options.extend([(hand, weight) for hand in hands])
if self.is_strict:
return options
else:
return list(set(options))
def test_hand_vs_range_exact(self):
hand = Card.many_from_text("AcAh")
villain = HandRange("AA")
board = Card.many_from_text("KhJd8c5d2s")
equity = py_hand_vs_range_exact(hand, villain, board)
self.assertEqual(equity, 0.5)
hand = Card.many_from_text("AcAh")
villain = HandRange("AsAd")
board = Card.many_from_text("KhJd8c5d2s")
equity = py_hand_vs_range_exact(hand, villain, board)
self.assertEqual(equity, 0.5)
hand = Card.many_from_text("AsAd")
villain = HandRange("AA,A3o,32s")
board = Card.many_from_text("KhJd8c5d2s")
equity = py_hand_vs_range_exact(hand, villain, board)
self.assertAlmostEqual(equity, 0.95, places=7)
def test_create_afei_one_folder_reraise(self):
""" Test _create_afei for a reraise against one player"""
# raise from 30 to 50 on an original pot of 10
# unprofitable bluff
fea = FoldEquityAccumulator(gameid=0,
order=0,
street=PREFLOP,
board=[],
bettor=0,
range_action=None,
raise_total=50,
pot_before_bet=50,
bet_cost=40,
pot_if_called=110,
potential_folders=[])
fold_range = HandRange("QQ")
nonfold_range = HandRange("AA-KK")
fea.folds.append((1, fold_range, nonfold_range))
afei = fea._create_afei(combo=Card.many_from_text("KsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 1.0 / 4.0)
self.assertAlmostEqual(afei.immediate_result, 1.0 / 4.0 * 50.0 +
(3.0 / 4.0) * (-40.0)) # -17.5
self.assertAlmostEqual(afei.semibluff_ev, 4.0 / 3.0 * 17.5)
self.assertAlmostEqual(afei.semibluff_equity, 4.0 / 3.0 * 17.5 / 110.0)
def generate_options(self, board=None):
"""
option is a list of (hand, weight)
"""
# TODO: 3: remove the concept of weighted options from HandRange
# It might still be worth having a WeightedHandRange, specifically for
# situations, but then convert to (unweighted) HandRange when the game
# starts.
excluded_cards = board or []
excluded_mnemonics = [card.to_mnemonic() for card in excluded_cards]
# it's really nice for this to be a list, for self.polarise_weights
options = []
for part, weight in self.subranges:
option_mnemonics = hands_in_subrange(part) # list of e.g. "AhKh"
not_excluded = lambda hand: (hand[0:2] not in excluded_mnemonics
and hand[2:4] not in excluded_mnemonics)
option_mnemonics = [o for o in option_mnemonics if not_excluded(o)]
hands = [frozenset(Card.many_from_text(txt))
for txt in option_mnemonics]
options.extend([(hand, weight) for hand in hands])
if self.is_strict:
return options
else:
return list(set(options))
def test_create_afei_one_folder_raise(self):
""" Test _create_afei for a raise against one player"""
# raise from 10 to 30 on an original pot of 10
# profitable bluff
fea = FoldEquityAccumulator(gameid=0,
order=0,
street=PREFLOP,
board=[],
bettor=0,
range_action=None,
raise_total=30,
pot_before_bet=20,
bet_cost=30,
pot_if_called=70,
potential_folders=[])
fold_range = HandRange("KK-JJ")
nonfold_range = HandRange("AA")
fea.folds.append((1, fold_range, nonfold_range))
afei = fea._create_afei(combo=Card.many_from_text("KsQh"), is_agg=True)
self.assertAlmostEqual(afei.fold_ratio, 2.0 / 3.0)
self.assertAlmostEqual(afei.immediate_result, 2.0 / 3.0 * 20.0 +
(1.0 / 3.0) * (-30.0)) # 3.33...
self.assertAlmostEqual(afei.semibluff_ev, -10.0)
self.assertAlmostEqual(afei.semibluff_equity, -10.0 / 70.0)
def get_cards_dealt(self):
"""
Get cards dealt, as list of two Card
"""
return Card.many_from_text(self.cards_dealt_raw)
def get_board(self):
"""
Get board, as list of Card
"""
return Card.many_from_text(self.board_raw)
def test_range_action_to_action(self):
"""
Test range_action_to_action
"""
# pylint:disable=R0914,R0915
# will test:
# - act fold,
# - act check,
# - act call,
# - act raise,
# - act case where hand is in no range (although invalid)
# won't test:
# - act case where hand is in all ranges (because the result is
# undefined)
options_with_check = ActionOptions(0, False, 2, 196)
options_with_call = ActionOptions(10, True, 20, 196)
options_without_raise = ActionOptions(196)
range_aa = HandRange("AA")
range_72o = HandRange("72o")
range_22_72o = HandRange("22,72o")
range_empty = HandRange("nothing")
range_22_weighted = HandRange("22(3)")
hand_72o = Card.many_from_text("7h2c")
hand_22 = Card.many_from_text("2h2c")
hand_aa = Card.many_from_text("AhAc")
hand_72s = Card.many_from_text("7h2h")
action_with_raise = ActionDetails(range_72o, range_22_weighted,
range_aa, 40)
rng, act = range_action_to_action(action_with_raise,
hand_72o, options_with_check)
self.assert_(act.is_fold)
self.assertEqual("72o", rng.description)
rng, act = range_action_to_action(action_with_raise,
hand_22, options_with_check)
self.assert_(act.is_passive)
self.assertEqual(act.call_cost, 0)
rng, act = range_action_to_action(action_with_raise,
hand_aa, options_with_check)
self.assert_(act.is_aggressive)
self.assertEqual(act.raise_total, 40)
try:
act = range_action_to_action(action_with_raise,
hand_72s, options_with_check)
self.assertTrue(False)
except ValueError:
pass
rng, act = range_action_to_action(action_with_raise,
hand_72o, options_with_call)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_with_raise,
hand_22, options_with_call)
self.assert_(act.is_passive)
self.assertEqual(act.call_cost, 10)
rng, act = range_action_to_action(action_with_raise,
hand_aa, options_with_call)
self.assert_(act.is_aggressive)
self.assertEqual(act.raise_total, 40)
try:
act = range_action_to_action(action_with_raise,
hand_72s, options_with_call)
self.assertTrue(False)
except ValueError:
pass
action_without_raise = ActionDetails(range_22_72o, range_aa,
range_empty, 0)
rng, act = range_action_to_action(action_without_raise,
hand_72o, options_with_check)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_without_raise,
hand_22, options_with_check)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_without_raise,
hand_aa, options_with_check)
self.assert_(act.is_passive)
self.assertEqual(act.call_cost, 0)
try:
act = range_action_to_action(action_without_raise,
hand_72s, options_with_check)
self.assertTrue(False)
except ValueError:
pass
rng, act = range_action_to_action(action_without_raise,
hand_72o, options_with_call)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_without_raise,
hand_22, options_with_call)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_without_raise,
hand_aa, options_with_call)
self.assert_(act.is_passive)
self.assertEqual(act.call_cost, 10)
try:
act = range_action_to_action(action_without_raise,
hand_72s, options_with_call)
self.assertTrue(False)
except ValueError:
pass
rng, act = range_action_to_action(action_without_raise,
hand_72o, options_without_raise)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_without_raise,
hand_22, options_without_raise)
self.assert_(act.is_fold)
rng, act = range_action_to_action(action_without_raise,
hand_aa, options_without_raise)
self.assert_(act.is_passive)
self.assertEqual(act.call_cost, 196)
try:
rng, act = range_action_to_action(action_without_raise,
hand_72s, options_without_raise)
self.assertTrue(False)
except ValueError:
pass
def get_cards_dealt(self):
"""
Get cards dealt, as list of two Card
"""
return Card.many_from_text(self.cards_dealt_raw)
def calculate_combo_ev(self, combo, userid):
"""
Calculate EV for a combo at this point in the game tree.
"""
if self.children:
# intermediate node, EV is combination of children's
# oh, each child needs a weight / probability
# oh, it's combo specific... "it depends" ;)
# EV of combo is:
# weighted sum of EV of children, but only for children where the
# combo is present (where combo isn't present, probability is zero)
# to assess probability:
# - if this node's children are performed by this user:
# - EV is the EV of the action that contains this combo
# - otherwise:
# - remove combo from the children's actor's current range
# - consider how many combo's of children's actor's current range
# proceed to each child
# - voila
# This conveniently works even in a multi-way pot. It's a very good
# approximation of the true probabilities. And note that truly
# calculating the true probabilities is not possible.
actor = self.children[0].actor
if actor == userid:
# EV is the EV of the action that contains this combo
for node in self.children:
if range_contains_hand(node.ranges_by_userid[userid],
combo):
return node.combo_ev(combo, userid)
raise InvalidComboForTree('Combo not in child ranges for userid'
' %d at betting line %s.' %
(userid, line_description(self.betting_line)))
else:
# probabilistic weighting of child EVs
# size of bucket is probability of this child
valid_children = [child for child in self.children
if range_contains_hand(child.ranges_by_userid[userid],
combo)]
buckets = {child: child.ranges_by_userid[actor] \
.generate_options(Card.many_from_text(child.board) +
list(combo))
for child in valid_children}
total = len(concatenate(buckets.values()))
if total == 0:
raise InvalidComboForTree('Combo not in child ranges for'
' userid %d at betting line %s. ' % (userid,
line_description(self.betting_line)))
probabilities = {child: 1.0 * len(buckets[child]) / total
for child in valid_children}
ev = sum(probabilities[child] * child.combo_ev(combo, userid)
for child in valid_children)
return ev
# Invalid combos are ignored / not calculated or aggregated.
elif userid not in self.winners:
# they folded
return 0.0 - self.total_contrib[userid]
elif len(self.winners) == 1:
# uncontested pot
return 0.0 + self.final_pot - self.total_contrib[userid]
else:
# showdown
ranges = {userid: range_
for userid, range_ in self.ranges_by_userid.items()}
combos = set([combo])
description = unweighted_options_to_description(combos)
ranges[userid] = HandRange(description)
equities, _iteration = \
showdown_equity(ranges, Card.many_from_text(self.board),
hard_limit=10000) # TODO: 1: this is not good enough
equity = equities[userid]
return equity * self.final_pot - self.total_contrib[userid]
def from_game(cls, game):
"""
Create a partial game tree from a single game. Note that this still
creates branches (multi-child nodes) due to non-terminal folds and
showdowns.
"""
# TODO: REVISIT: Blackbox testing? Unit testing? Something!
# Any error in any of this logic will create some obscure bug in some
# game tree.
# TODO: 4: A general purpose replayer. How many times do we have to
# write this code before we refactor it into something reusable... and
# demonstrably correct!
actual_ranges = {}
for rgp, player in zip(game.rgps, game.situation.players):
new_range = remove_board_from_range(player.range,
game.situation.board)
actual_ranges[rgp.userid] = new_range.description
board_raw = game.situation.board_raw
session = object_session(game)
# We need to look for:
# - GameHistoryActionResult, to find actions that happened
# - GameHistoryRangeAction, to find folds
# - GameHistoryShowdown, to find showdown calls
# - GameHistoryBoard, to know its the river, because then three-handed
# folds can be terminal
history = []
for table in [tables.GameHistoryActionResult,
tables.GameHistoryRangeAction,
tables.GameHistoryShowdown,
tables.GameHistoryBoard]:
history.extend(session.query(table) \
.filter(table.gameid == game.gameid).all())
history.sort(key=lambda row: row.order)
current_round = game.situation.current_round
stacks = {rgp.userid: player.stack
for rgp, player in zip(game.rgps, game.situation.players)}
contrib = {rgp.userid: player.contributed
for rgp, player in zip(game.rgps, game.situation.players)}
total_contrib = dict(contrib)
to_act = {rgp.userid
for rgp, player in zip(game.rgps, game.situation.players)
if player.left_to_act}
pot = game.situation.pot_pre + \
sum(p.contributed for p in game.situation.players)
raise_total = max(p.contributed for p in game.situation.players)
remain = {rgp.userid for rgp in game.rgps}
root = cls(game.situation.current_round, board_raw, None,
None, None, actual_ranges, total_contrib)
node = root # where we're adding actions
prev_range_action = None
for item in history:
# reset game state for new round
if isinstance(item, tables.GameHistoryBoard):
current_round = item.street
board_raw = item.cards
to_act = set(remain)
contrib = {rgp.userid: 0 for rgp in game.rgps}
raise_total = 0
for userid, old_range in actual_ranges.iteritems():
new_range = remove_board_from_range(HandRange(old_range),
Card.many_from_text(item.cards))
actual_ranges[userid] = new_range.description
if isinstance(item, tables.GameHistoryShowdown):
# add call
call_cost = raise_total - contrib[prev_range_action.userid]
action = ActionResult.call(call_cost)
ranges = dict(actual_ranges)
ranges[prev_range_action.userid] = \
prev_range_action.passive_range
showdown_contrib = dict(total_contrib)
showdown_contrib[prev_range_action.userid] += call_cost
showdown_pot = pot + call_cost
child = cls(current_round, board_raw,
prev_range_action.userid, action,
node, ranges,
total_contrib=showdown_contrib, winners=remain,
final_pot=showdown_pot)
node.children.append(child)
# Only if the fold is terminal is it part of the tree.
# Folds are terminal when:
# - two-handed; or,
# - three-handed when:
# - all other players have acted on the river; or,
# - are all in before the river; or,
# - they fold 100%
if isinstance(item, tables.GameHistoryRangeAction):
prev_range_action = item
if item.fold_ratio is None:
has_fold = item.fold_range != NOTHING
else:
has_fold = item.fold_ratio != 0.0
is_final_round = current_round == RIVER or \
not all(stacks.values())
heads_up = len(remain) == 2
final_action = len(to_act) == 1 and is_final_round
# There's no (implicit) fold when multi-way and play continues.
if has_fold and (final_action or heads_up):
# Play would not continue with a fold here, so there will be
# no actual fold action.
# TODO: 3: use game_continues?
# Add a non-played fold. We keep the folded player's range
# in here, because it is relevant to consider the EV of each
# folded combo.
winners = set(remain)
winners.remove(item.userid)
# winners may be one (HU) or multiple (multiway)
ranges = actual_ranges
ranges[item.userid] = item.fold_range
child = cls(current_round, board_raw, item.userid,
ActionResult.fold(), node, ranges,
total_contrib=total_contrib, winners=winners,
final_pot=pot)
node.children.append(child)
if isinstance(item, tables.GameHistoryActionResult):
# maintain game state
if item.is_passive:
actual_ranges[item.userid] = prev_range_action.passive_range
stacks[item.userid] -= item.call_cost
contrib[item.userid] += item.call_cost
total_contrib[item.userid] += item.call_cost
pot += item.call_cost
action = ActionResult.call(item.call_cost)
if item.is_aggressive:
actual_ranges[item.userid] = \
prev_range_action.aggressive_range
chips = item.raise_total - contrib[item.userid]
stacks[item.userid] -= chips
contrib[item.userid] += chips
total_contrib[item.userid] += chips
pot += chips
raise_total = item.raise_total
to_act = set(remain)
action = ActionResult.raise_to(raise_total, item.is_raise)
if item.is_fold:
remain.remove(item.userid)
action = ActionResult.fold()
# and yes, we still traverse in (multi-way)
to_act.remove(item.userid)
# add fold, check, call, raise or bet, and traverse in
child = cls(current_round, board_raw, item.userid, action, node,
actual_ranges, total_contrib)
node.children.append(child)
# traverse down
node = child
return root