Updated to Gymnasium v0.26.2

[BolunDai0216]

Description

Changed the dependency on gym to gymnasium at v0.26.2.

Fixes # (issue)

A list of the changes:

• Changed the output of step from obs, reward, done, info to obs, reward, termination, truncation, info.
• Removed return_info in reset() and returns obs, info all the time.
• Added render_mode to the environments.
• Changed the tests to use gymnasium and adapt to the new output of reset() and step().
• Removed seed()

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Checklist:

• I have run the pre-commit checks with pre-commit run --all-files (see CONTRIBUTING.md instructions to set it up)
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

[pseudo-rnd-thoughts]

Could you make the suggested changes.
Is there a test that runs check_env with all of the miniworld envs ?
This is for a future pr or release where we change the randomness to use the env.np_random

[pseudo-rnd-thoughts]

Could you add type hints

[BolunDai0216]

Yeah. I noticed that the type hint situation is not consistent, some functions have it while others don't. Is there a guideline? Or should we just add type hints to all of the functions?

[pseudo-rnd-thoughts]

At some point, it would be great to type hint the whole project but for now just having reset and step would be easiest. We can make another PR that adds type hinting for more of the project.

[BolunDai0216]

Could you make the suggested changes. Is there a test that runs check_env with all of the miniworld envs ? This is for a future pr or release where we change the randomness to use the env.np_random

test_env_checker() runs check_env() on all of the environments

@pytest.mark.parametrize("env_id", gym_miniworld.envs.env_ids)
def test_env_checker(env_id):
    if "RemoteBot" in env_id:
        return

    env = gym.make(env_id).unwrapped
    warnings.simplefilter("always")
    with warnings.catch_warnings(record=True) as w:
        check_env(env)

    for warning in w:
        if warning.message.args[0] not in CHECK_ENV_IGNORE_WARNINGS:
            raise gym.error.Error(f"Unexpected warning: {warning.message}")

    env.close()