# Path: chi/rl/wrappers.py
# def get_wrapper(env, wrapper_type):
#     w = next(filter(lambda w: isinstance(w, wrapper_type), list_wrappers(env)), None)
#     return w


import logging
import gym
import chi
import tensortools as tt
import numpy as np
from threading import Thread
from gym.wrappers import Monitor
from chi.rl.wrappers import get_wrapper
from tensortools.util import output_redirect
from time import time
        handler = logging.FileHandler(logdir + '/logs/' + self.name) if logdir else logging.StreamHandler()
        self.logger.addHandler(handler)
        self.gen = generator
        self.gen.send(None)

    def run(self, env, episodes=100000000, async=False):
        if async:
            t = Thread(target=self.run, args=(env, episodes),
                    daemon=True, name=self.name)
            t.start()
            return

        with output_redirect(self.logger.info, self.logger.error):
            monitor = get_wrapper(env, gym.wrappers.Monitor)
            tick = time()
            for ep in range(episodes):
                self.run_episode(env)

                logi = 5
                if ep % logi == 0 and monitor:
                    assert isinstance(monitor, Monitor)
                    at = np.mean(monitor.get_episode_rewards()[-logi:])
                    ds = sum(monitor.get_episode_lengths()[-logi:])
                    dt = time() - tick
                    tick = time()

                    self.logger.info(f'av. return {at}, av. fps {ds/dt}')

    def run_episode(self, env: gym.Env):


# Path: chi/rl/wrappers.py
# def get_wrapper(env, wrapper_type):
#     w = next(filter(lambda w: isinstance(w, wrapper_type), list_wrappers(env)), None)
#     return w


# Path: chi/rl/core.py
import logging
import gym
import chi
import tensortools as tt
import numpy as np
from threading import Thread
from gym.wrappers import Monitor
from chi.rl.wrappers import get_wrapper
from tensortools.util import output_redirect
from time import time

        handler = logging.FileHandler(logdir + '/logs/' + self.name) if logdir else logging.StreamHandler()
        self.logger.addHandler(handler)
        self.gen = generator
        self.gen.send(None)

    def run(self, env, episodes=100000000, async=False):
        if async:
            t = Thread(target=self.run, args=(env, episodes),
                    daemon=True, name=self.name)
            t.start()
            return

        with output_redirect(self.logger.info, self.logger.error):
            monitor = get_wrapper(env, gym.wrappers.Monitor)
            tick = time()
            for ep in range(episodes):
                self.run_episode(env)

                logi = 5
                if ep % logi == 0 and monitor:
                    assert isinstance(monitor, Monitor)
                    at = np.mean(monitor.get_episode_rewards()[-logi:])
                    ds = sum(monitor.get_episode_lengths()[-logi:])
                    dt = time() - tick
                    tick = time()

                    self.logger.info(f'av. return {at}, av. fps {ds/dt}')

    def run_episode(self, env: gym.Env):


        meta_wrapper = get_wrapper(env, chi.rl.wrappers.Wrapper)