Files
Gymnasium/tests/wrappers/test_transform_observation.py
Andrea PIERRÉ e913bc81b8 Improve pre-commit workflow (#2602)
* feat: add `isort` to `pre-commit`

* ci: skip `__init__.py` file for `isort`

* ci: make `isort` mandatory in lint pipeline

* docs: add a section on Git hooks

* ci: check isort diff

* fix: isort from master branch

* docs: add pre-commit badge

* ci: update black + bandit versions

* feat: add PR template

* refactor: PR template

* ci: remove bandit

* docs: add Black badge

* ci: try to remove all `|| true` statements

* ci: remove lint_python job

- Remove `lint_python` CI job
- Move `pyupgrade` job to `pre-commit` workflow

* fix: avoid messing with typing

* docs: add a note on running `pre-cpmmit` manually

* ci: apply `pre-commit` to the whole codebase
2022-03-31 15:50:38 -04:00

26 lines
806 B
Python

import numpy as np
import pytest
import gym
from gym.wrappers import TransformObservation
@pytest.mark.parametrize("env_id", ["CartPole-v1", "Pendulum-v1"])
def test_transform_observation(env_id):
affine_transform = lambda x: 3 * x + 2
env = gym.make(env_id)
wrapped_env = TransformObservation(
gym.make(env_id), lambda obs: affine_transform(obs)
)
obs = env.reset(seed=0)
wrapped_obs = wrapped_env.reset(seed=0)
assert np.allclose(wrapped_obs, affine_transform(obs))
action = env.action_space.sample()
obs, reward, done, _ = env.step(action)
wrapped_obs, wrapped_reward, wrapped_done, _ = wrapped_env.step(action)
assert np.allclose(wrapped_obs, affine_transform(obs))
assert np.allclose(wrapped_reward, reward)
assert wrapped_done == done