Dopamine duplicate Gym functionality

I spent a lot of time trying to understand the colab cartpole Gym example so to apply to a custom discrete Gym environment, which is similar to the cartpole gym environment and works fine with a Keras RL agent. I noticed that dopamine is using gym_lib.py in addition to the actual gym environment. For example, gym_lib.py contains variables already defined in the gym cartpole environment file. such as:

dopamine/discrete_domains/gym_lib.py:
```
CARTPOLE_MIN_VALS = np.array([-2.4, -5., -math.pi/12., -math.pi*2.])
CARTPOLE_MAX_VALS = np.array([2.4, 5., math.pi/12., math.pi*2.])
gin.constant('gym_lib.CARTPOLE_OBSERVATION_SHAPE', (4, 1))
gin.constant('gym_lib.CARTPOLE_OBSERVATION_DTYPE', tf.float32)
```

gym/envs/classic_control/cartpole.py:
```
self.x_threshold = 2.4
self.observation_space = spaces.Box(-high, high, dtype=np.float32)

```

This is confusing.
OpenaAI gym encompass all the code necessary to create a complete environment object. With all the necessary plumbing//functions/variables, etc.. This approach is difficult to understand and build on.
Would it be possible to make gym a drop-in for dopamine? This would greatly simplify and speed up dopamine adoption.