def droplet() -> environment.Environment: return environment.Environment(shot_condition=environment.ShotCondition( 69198, 0.418), reward=rewards_used.DROPLETS, reference_generator=references.droplet(), max_episode_length=2000)
def snowflake() -> environment.Environment: return environment.Environment(shot_condition=environment.ShotCondition( 70166, 0.0872), reward=rewards_used.SNOWFLAKE, reference_generator=references.snowflake(), max_episode_length=10000)
def negative_triangularity() -> environment.Environment: return environment.Environment( shot_condition=environment.ShotCondition(70166, 0.45), reward=rewards_used.NEGATIVE_TRIANGULARITY, reference_generator=references.negative_triangularity(), max_episode_length=5000)
def iter() -> environment.Environment: # pylint: disable=redefined-builtin return environment.Environment(shot_condition=environment.ShotCondition( 70392, 0.0872), reward=rewards_used.ITER, reference_generator=references.iter(), max_episode_length=1000)
def elongation() -> environment.Environment: return environment.Environment(shot_condition=environment.ShotCondition( 70166, 0.45), reward=rewards_used.ELONGATION, reference_generator=references.elongation(), max_episode_length=5000)
def fundamental_capability() -> environment.Environment: return environment.Environment( shot_condition=environment.ShotCondition(70166, 0.0872), reward=rewards_used.FUNDAMENTAL_CAPABILITY, reference_generator=references.fundamental_capability(), max_episode_length=10000)