from playcrypt.simulator.base_sim import BaseSim


class PKECCASim(BaseSim):

    def run(self, b):
        pk = self.game.initialize(b)
        return self.game.finalize(self.adversary(self.game.lr, pk, self.
            game.dec))

    def compute_success_ratio(self, b, trials=1000):
        """
        Tries game in world and computes the ratio of success / total runs.
        :param world: Which world to compute for.
        :return: successes / total_runs
        """
        results = []
        for i in range(0, trials):
            results += [self.run(b)]
        successes = float(results.count(True))
        failures = float(results.count(False))
        return successes / (successes + failures)

    def compute_advantage(self, trials=1000):
        """
        Adv = Pr[Right => 1] - Pr[Left => 1]
        :return: Approximate advantage computed using the above equation.
        """
        return self.compute_success_ratio(1, trials) - (1 - self.
            compute_success_ratio(0, trials))

bb01db5a07963397fcd8fe702ec25ec31c6fd02f
<mask token>


class PKECCASim(BaseSim):
    <mask token>
    <mask token>
    <mask token>

<mask token>


class PKECCASim(BaseSim):

    def run(self, b):
        pk = self.game.initialize(b)
        return self.game.finalize(self.adversary(self.game.lr, pk, self.
            game.dec))
    <mask token>

    def compute_advantage(self, trials=1000):
        """
        Adv = Pr[Right => 1] - Pr[Left => 1]
        :return: Approximate advantage computed using the above equation.
        """
        return self.compute_success_ratio(1, trials) - (1 - self.
            compute_success_ratio(0, trials))

<mask token>


class PKECCASim(BaseSim):

    def run(self, b):
        pk = self.game.initialize(b)
        return self.game.finalize(self.adversary(self.game.lr, pk, self.
            game.dec))

    def compute_success_ratio(self, b, trials=1000):
        """
        Tries game in world and computes the ratio of success / total runs.
        :param world: Which world to compute for.
        :return: successes / total_runs
        """
        results = []
        for i in range(0, trials):
            results += [self.run(b)]
        successes = float(results.count(True))
        failures = float(results.count(False))
        return successes / (successes + failures)

    def compute_advantage(self, trials=1000):
        """
        Adv = Pr[Right => 1] - Pr[Left => 1]
        :return: Approximate advantage computed using the above equation.
        """
        return self.compute_success_ratio(1, trials) - (1 - self.
            compute_success_ratio(0, trials))

from playcrypt.simulator.base_sim import BaseSim


class PKECCASim(BaseSim):

    def run(self, b):
        pk = self.game.initialize(b)
        return self.game.finalize(self.adversary(self.game.lr, pk, self.
            game.dec))

    def compute_success_ratio(self, b, trials=1000):
        """
        Tries game in world and computes the ratio of success / total runs.
        :param world: Which world to compute for.
        :return: successes / total_runs
        """
        results = []
        for i in range(0, trials):
            results += [self.run(b)]
        successes = float(results.count(True))
        failures = float(results.count(False))
        return successes / (successes + failures)

    def compute_advantage(self, trials=1000):
        """
        Adv = Pr[Right => 1] - Pr[Left => 1]
        :return: Approximate advantage computed using the above equation.
        """
        return self.compute_success_ratio(1, trials) - (1 - self.
            compute_success_ratio(0, trials))
