def test_create(self):
lh = DiscretizedNLHoldem.get_lut_holder()
assert lh.LUT_1DCARD_2_2DCARD.dtype == np.dtype(np.int8)
assert lh.LUT_2DCARD_2_1DCARD.dtype == np.dtype(np.int8)
assert lh.LUT_IDX_2_HOLE_CARDS.dtype == np.dtype(np.int8)
assert lh.LUT_HOLE_CARDS_2_IDX.dtype == np.dtype(np.int16)
def test_get_1d_card(self):
lh = DiscretizedNLHoldem.get_lut_holder()
assert lh.get_1d_card(card_2d=[0, 3]) == 3
assert lh.get_1d_card(card_2d=[12, 3]) == 51
assert lh.get_1d_card(card_2d=np.array([0, 0], dtype=np.int8)) == 0
assert lh.get_1d_card(card_2d=np.array([0, 0], dtype=np.int32)) == 0
assert lh.get_1d_card(card_2d=Poker.CARD_NOT_DEALT_TOKEN_2D) == Poker.CARD_NOT_DEALT_TOKEN_1D
def test_hole_card_luts(self):
""" tests reversibility """
lh = DiscretizedNLHoldem.get_lut_holder()
for h in range(1326):
_c_1d = lh.get_1d_hole_cards_from_range_idx(
h) # Tests 1d conversion
_c_2d = lh.get_2d_hole_cards_from_range_idx(
h) # Tests 2d conversion
c_1d = (lh.LUT_IDX_2_HOLE_CARDS[h])
c_2d = np.array([
lh.LUT_1DCARD_2_2DCARD[c_1d[0]],
lh.LUT_1DCARD_2_2DCARD[c_1d[1]]
],
dtype=np.int8)
assert np.array_equal(c_1d, _c_1d)
assert np.array_equal(c_2d, _c_2d)
# Tests inverse and thus validates that the mapping is unique for both 1d and 2d implicitly
for c1 in range(51):
for c2 in range(c1 + 1, 50):
cc1 = lh.LUT_1DCARD_2_2DCARD[c1]
cc2 = lh.LUT_1DCARD_2_2DCARD[c2]
hole_cards = np.array([cc1, cc2], dtype=np.int8)
assert lh.get_range_idx_from_hole_cards(hole_cards) == \
lh.LUT_HOLE_CARDS_2_IDX[c1, c2]
def test_get_range_idx_from_hole_cards(self):
lh = DiscretizedNLHoldem.get_lut_holder()
n = 0
for c1 in range(51):
for c2 in range(c1 + 1, 52):
assert lh.LUT_HOLE_CARDS_2_IDX[c1, c2] == n
n += 1
def test_get_2d_cards(self):
lh = DiscretizedNLHoldem.get_lut_holder()
assert np.array_equal(lh.get_2d_cards(cards_1d=np.array([])), np.array([]))
assert np.array_equal(lh.get_2d_cards(cards_1d=np.array([3])), np.array([[0, 3]]))
assert np.array_equal(lh.get_2d_cards(cards_1d=np.array([3, 51])), np.array([[0, 3], [12, 3]]))
assert np.array_equal(lh.get_2d_cards(cards_1d=np.array([])), np.array([]))
assert np.array_equal(lh.get_2d_cards(cards_1d=np.array([0, Poker.CARD_NOT_DEALT_TOKEN_1D], dtype=np.int8)),
np.concatenate((np.array([[0, 0]]), Poker.CARD_NOT_DEALT_TOKEN_2D.reshape(-1, 2))))