add methods to analyze individual suits and what cards to pick

This commit is contained in:
Maximilian Keßler 2023-03-18 15:17:47 +01:00
parent dee13938cf
commit 63146046e0
Signed by: max
GPG key ID: BCC5A619923C0BA5

View file

@ -3,8 +3,9 @@ from typing import List
from enum import Enum from enum import Enum
from database import conn from database import conn
from hanabi import HanabiInstance from hanabi import HanabiInstance, pp_deck
from compress import decompress_deck from compress import decompress_deck
import constants
class InfeasibilityType(Enum): class InfeasibilityType(Enum):
@ -26,6 +27,73 @@ class InfeasibilityReason():
case InfeasibilityType.OutOfHandSize: case InfeasibilityType.OutOfHandSize:
return "Deck runs out of hand size after drawing card {}".format(self.index) return "Deck runs out of hand size after drawing card {}".format(self.index)
def analyze_suit(occurrences):
# denotes the indexes of copies we can use wlog
picks = {
1: 0,
**{ r: None for r in range(2, 5) },
5: 0
}
# denotes the intervals when cards will be played wlog
play_times = {
1: [occurrences[1][0]],
**{ r: None for _ in range(instance.num_suits)
for r in range(2,6)
}
}
print("occurrences are: {}".format(occurrences))
for rank in range(2, 6):
# general analysis
earliest_play = max(min(play_times[rank - 1]), min(occurrences[rank]))
latest_play = max( *play_times[rank - 1], *occurrences[rank])
play_times[rank] = [earliest_play, latest_play]
# check a few extra cases regarding the picks when the rank is not 5
if rank != 5:
# check if we can just play the first copy
if max(play_times[rank - 1]) < min(occurrences[rank]):
picks[rank] = 0
play_times[rank] = [min(occurrences[rank])]
continue
# check if the second copy is not worse than the first when it comes,
# because we either have to wait for smaller cards anyway
# or the next card is not there anyway
if max(occurrences[rank]) < max(earliest_play, min(occurrences[rank + 1])):
picks[rank] = 1
return picks, play_times
def analyze_card_usage(instance: HanabiInstance):
storage_size = instance.num_players * instance.hand_size
for suit in range(instance.num_suits):
print("analysing suit {}: {}".format(
suit,
pp_deck((c for c in instance.deck if c.suitIndex == suit))
)
)
occurrences = {
rank: [max(0, i - storage_size + 1) for (i, card) in enumerate(instance.deck) if card == DeckCard(suit, rank)]
for rank in range(1,6)
}
picks, play_times = analyze_suit(occurrences)
print("did analysis:")
print("play times: ", play_times)
print("picks: ", picks)
print()
def analyze(instance: HanabiInstance, find_non_trivial=False) -> InfeasibilityReason | None: def analyze(instance: HanabiInstance, find_non_trivial=False) -> InfeasibilityReason | None:
@ -135,4 +203,11 @@ if __name__ == "__main__":
# print(deck) # print(deck)
# a = analyze(deck, 4) # a = analyze(deck, 4)
# print(a) # print(a)
run_on_database() # run_on_database()
deck_str = "15bcfwnqsdmbnfuvhskrgfixwckklojxgemrhpqppuaaiyadultv"
deck_str = "15misofrmvvuxujkphaqpcflegysdwqaakcilbxtuhwfrbgdnpkn"
deck_str = "15wqpvhdkufjcrewyxulvarhgolkixmfgmndbpstqbupcanfisak"
deck = decompress_deck(deck_str)
print(pp_deck(deck))
instance = HanabiInstance(deck, 2)
analyze_card_usage(instance)