mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-07-31 13:54:31 +00:00
85 lines
3.2 KiB
Python
85 lines
3.2 KiB
Python
"""Provides a generic testing environment for use in tests with custom reset, step and render functions."""
|
|
import types
|
|
from typing import Any, Dict, Optional, Tuple, Union
|
|
|
|
import gymnasium as gym
|
|
from gymnasium import spaces
|
|
from gymnasium.core import ActType, ObsType
|
|
from gymnasium.envs.registration import EnvSpec
|
|
|
|
|
|
def basic_reset_func(
|
|
self,
|
|
*,
|
|
seed: Optional[int] = None,
|
|
options: Optional[dict] = None,
|
|
) -> Union[ObsType, Tuple[ObsType, dict]]:
|
|
"""A basic reset function that will pass the environment check using random actions from the observation space."""
|
|
super(GenericTestEnv, self).reset(seed=seed)
|
|
self.observation_space.seed(seed)
|
|
return self.observation_space.sample(), {"options": options}
|
|
|
|
|
|
def new_step_func(self, action: ActType) -> Tuple[ObsType, float, bool, bool, dict]:
|
|
"""A step function that follows the new step api that will pass the environment check using random actions from the observation space."""
|
|
return self.observation_space.sample(), 0, False, False, {}
|
|
|
|
|
|
def old_step_func(self, action: ActType) -> Tuple[ObsType, float, bool, dict]:
|
|
"""A step function that follows the old step api that will pass the environment check using random actions from the observation space."""
|
|
return self.observation_space.sample(), 0, False, {}
|
|
|
|
|
|
def basic_render_func(self):
|
|
"""Basic render fn that does nothing."""
|
|
pass
|
|
|
|
|
|
# todo: change all testing environment to this generic class
|
|
class GenericTestEnv(gym.Env):
|
|
"""A generic testing environment for use in testing with modified environments are required."""
|
|
|
|
def __init__(
|
|
self,
|
|
action_space: spaces.Space = spaces.Box(0, 1, (1,)),
|
|
observation_space: spaces.Space = spaces.Box(0, 1, (1,)),
|
|
reset_func: callable = basic_reset_func,
|
|
step_func: callable = new_step_func,
|
|
render_func: callable = basic_render_func,
|
|
metadata: Dict[str, Any] = {"render_modes": []},
|
|
render_mode: Optional[str] = None,
|
|
spec: EnvSpec = EnvSpec(
|
|
"TestingEnv-v0", "testing-env-no-entry-point", max_episode_steps=100
|
|
),
|
|
):
|
|
self.metadata = metadata
|
|
self.render_mode = render_mode
|
|
self.spec = spec
|
|
|
|
if observation_space is not None:
|
|
self.observation_space = observation_space
|
|
if action_space is not None:
|
|
self.action_space = action_space
|
|
|
|
if reset_func is not None:
|
|
self.reset = types.MethodType(reset_func, self)
|
|
if step_func is not None:
|
|
self.step = types.MethodType(step_func, self)
|
|
if render_func is not None:
|
|
self.render = types.MethodType(render_func, self)
|
|
|
|
def reset(
|
|
self,
|
|
*,
|
|
seed: Optional[int] = None,
|
|
options: Optional[dict] = None,
|
|
) -> Union[ObsType, Tuple[ObsType, dict]]:
|
|
# If you need a default working reset function, use `basic_reset_fn` above
|
|
raise NotImplementedError("TestingEnv reset_fn is not set.")
|
|
|
|
def step(self, action: ActType) -> Tuple[ObsType, float, bool, dict]:
|
|
raise NotImplementedError("TestingEnv step_fn is not set.")
|
|
|
|
def render(self):
|
|
raise NotImplementedError("testingEnv render_fn is not set.")
|