def straight_and_highcards(self, straights, highcards):
"""
Unique five card sets. Straights and highcards.
Reuses bit sequences from flush calculations.
"""
rank = LookupTable.MAX_FLUSH + 1
for s in straights:
prime_product = Card.prime_product_from_rankbits(s)
self.unsuited_lookup[prime_product] = rank
rank += 1
rank = LookupTable.MAX_PAIR + 1
for h in highcards:
prime_product = Card.prime_product_from_rankbits(h)
self.unsuited_lookup[prime_product] = rank
rank += 1
def _five(self, cards):
"""
Performs an evalution given cards in integer form, mapping them to
a rank in the range [1, 7462], with lower ranks being more powerful.
Variant of Cactus Kev's 5 card evaluator, though I saved a lot of memory
space using a hash table and condensing some of the calculations.
"""
# if flush
if cards[0] & cards[1] & cards[2] & cards[3] & cards[4] & 0xF000:
handOR = (cards[0] | cards[1] | cards[2] | cards[3] | cards[4]) >> 16
prime = Card.prime_product_from_rankbits(handOR)
return self.table.flush_lookup[prime]
# otherwise
else:
prime = Card.prime_product_from_hand(cards)
return self.table.unsuited_lookup[prime]
def flushes(self):
"""
Straight flushes and flushes.
Lookup is done on 13 bit integer (2^13 > 7462):
xxxbbbbb bbbbbbbb => integer hand index
"""
# straight flushes in rank order
straight_flushes = [
7936, # int('0b1111100000000', 2), # royal flush
3968, # int('0b111110000000', 2),
1984, # int('0b11111000000', 2),
992, # int('0b1111100000', 2),
496, # int('0b111110000', 2),
248, # int('0b11111000', 2),
124, # int('0b1111100', 2),
62, # int('0b111110', 2),
31, # int('0b11111', 2),
4111 # int('0b1000000001111', 2) # 5 high
]
# now we'll dynamically generate all the other
# flushes (including straight flushes)
flushes = []
gen = self.get_lexographically_next_bit_sequence(int('0b11111', 2))
# 1277 = number of high cards
# 1277 + len(str_flushes) is number of hands with all cards unique rank
for i in range(1277 + len(straight_flushes) -
1): # we also iterate over SFs
# pull the next flush pattern from our generator
f = next(gen)
# if this flush matches perfectly any
# straight flush, do not add itø
notSF = True
for sf in straight_flushes:
# if f XOR sf == 0, then bit pattern
# is same, and we should not add
if not f ^ sf:
notSF = False
if notSF:
flushes.append(f)
# we started from the lowest straight pattern, now we want to start ranking from
# the most powerful hands, so we reverse
flushes.reverse()
# now add to the lookup map:
# start with straight flushes and the rank of 1
# since theyit is the best hand in poker
# rank 1 = Royal Flush!
rank = 1
for sf in straight_flushes:
prime_product = Card.prime_product_from_rankbits(sf)
self.flush_lookup[prime_product] = rank
rank += 1
# we start the counting for flushes on max full house, which
# is the worst rank that a full house can have (2,2,2,3,3)
rank = LookupTable.MAX_FULL_HOUSE + 1
for f in flushes:
prime_product = Card.prime_product_from_rankbits(f)
self.flush_lookup[prime_product] = rank
rank += 1
# we can reuse these bit sequences for straights
# and high cards since they are inherently related
# and differ only by context
self.straight_and_highcards(straight_flushes, flushes)