from osim.env.osim import L2RunEnv

import pprint

env = L2RunEnv(visualize=True)

observation = env.reset()

for i in range(200):

    observation, reward, done, info = env.step(env.action_space.sample())

    print(len(observation))

#    pprint.pprint(env.get_state_desc())

    if done:

        env.reset()