# coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Register MultiGrid environments with OpenAI gym."""

import gym
from .registration import register as gym_register

env_list = []


def register(env_id, entry_point, reward_threshold=0.95, max_episode_steps=None):
    """Register a new environment with OpenAI gym based on id."""
    assert env_id.startswith("MultiGrid-")
    if env_id in env_list:
        del gym.envs.registry.env_specs[id]
    else:
        # Add the environment to the set
        env_list.append(id)

    kwargs = dict(
        id=env_id,
        entry_point=entry_point,
        reward_threshold=reward_threshold
    )

    if max_episode_steps:
        kwargs.update({'max_episode_steps': max_episode_steps})

    # Register the environment with OpenAI gym
    gym_register(**kwargs)
