Source code for axelrod.strategies.calculator

from axelrod._strategy_utils import detect_cycle
from axelrod.action import Action
from axelrod.player import Player

from .axelrod_first import FirstByJoss as Joss

C, D = Action.C, Action.D

[docs]class Calculator(Player): """ Plays like (Hard) Joss for the first 20 rounds. If periodic behavior is detected, defect forever. Otherwise play TFT. Names: - Calculator: [Prison1998]_ """ name = "Calculator" classifier = { "memory_depth": float("inf"), "stochastic": True, "long_run_time": False, "inspects_source": False, "manipulates_source": False, "manipulates_state": False, } def __init__(self) -> None: self.joss_instance = Joss() super().__init__()
[docs] def set_seed(self, seed: int = None): super().set_seed(seed) self.joss_instance.set_seed(seed)
[docs] def strategy(self, opponent: Player) -> Action: """Actual strategy definition that determines player's action.""" turn = len(self.history) if turn > 0: self.joss_instance.history.append( self.history[-1], opponent.history[-1] ) if turn == 20: self.cycle = detect_cycle(opponent.history) return self.extended_strategy(opponent) if turn > 20: return self.extended_strategy(opponent) else: play = self.joss_instance.strategy(opponent) return play
def extended_strategy(self, opponent: Player) -> Action: if self.cycle: return D else: # TFT return D if opponent.history[-1:] == [D] else C