cloudpickle cannot pickle '_jpype._JField' objects

So, I've been working on a project which involves implementing reinforcement learning in a server-client app. The server is written in Java and the client is in Python, which is why I use [JPype](https://github.com/jpype-project/jpype) to import some server classes.

After importing the necessary packages and creating the environment using [PettingZoo](https://github.com/Farama-Foundation/PettingZoo/), it is time to create the model and train it using [Stable-Baselines3](https://github.com/DLR-RM/stable-baselines3), but the problem is that when I use Supersuit, it needs to pickle and unpickle the environment, and because the environment contains many Java objects, an error is thrown: `TypeError: cannot pickle '_jpype._JField' object`.

The normal Pickle package does not support JField objects, but in the JPype library, there is a [JPickle version that supports JField](https://github.com/jpype-project/jpype/blob/faa41f76be42792e8f7e712f7d925aaac4a93b88/jpype/pickle.py) objects. I tried to modify the `cloudpickle_fast.py` to add the JPickle package but I end up having a problem with the `cloudpickle.loads()`

Here is what I modified in `cloudpickle_fast.py`:
```py
from jpype.pickle import JPickler, JUnpickler
```
```py
def dump(self, obj):
try:
return Pickler.dump(self, obj)
except RuntimeError as e:
if "recursion" in e.args[0]:
msg = (
"Could not pickle object as excessively deep recursion "
"required."
)
raise pickle.PicklingError(msg) from e
else:
raise
except TypeError as e:
return JPickler.dump(self, obj)
```
And here is the full stacktrace I get:
```py
---------------------------------------------------------------------------
UnpicklingError Traceback (most recent call last)
Input In [11], in ()
1 env = MARL_Env_Parallel(4)
5 env = ss.pettingzoo_env_to_vec_env_v1(env)
----> 6 env = ss.concat_vec_envs_v1(env, 1, num_cpus=1, base_class='stable_baselines3')

File ~\anaconda3\envs\gym\lib\site-packages\supersuit\vector\vector_constructors.py:61, in concat_vec_envs_v1(vec_env, num_vec_envs, num_cpus, base_class)
59 def concat_vec_envs_v1(vec_env, num_vec_envs, num_cpus=0, base_class="gymnasium"):
60 num_cpus = min(num_cpus, num_vec_envs)
---> 61 vec_env = MakeCPUAsyncConstructor(num_cpus)(*vec_env_args(vec_env, num_vec_envs))
63 if base_class == "gymnasium":
64 return vec_env

File ~\anaconda3\envs\gym\lib\site-packages\supersuit\vector\concat_vec_env.py:22, in ConcatVecEnv.__init__(self, vec_env_fns, obs_space, act_space)
21 def __init__(self, vec_env_fns, obs_space=None, act_space=None):
---> 22 self.vec_envs = vec_envs = [vec_env_fn() for vec_env_fn in vec_env_fns]
23 for i in range(len(vec_envs)):
24 if not hasattr(vec_envs[i], "num_envs"):

File ~\anaconda3\envs\gym\lib\site-packages\supersuit\vector\concat_vec_env.py:22, in (.0)
21 def __init__(self, vec_env_fns, obs_space=None, act_space=None):
---> 22 self.vec_envs = vec_envs = [vec_env_fn() for vec_env_fn in vec_env_fns]
23 for i in range(len(vec_envs)):
24 if not hasattr(vec_envs[i], "num_envs"):

File ~\anaconda3\envs\gym\lib\site-packages\supersuit\vector\vector_constructors.py:11, in vec_env_args..env_fn()
10 def env_fn():
---> 11 env_copy = cloudpickle.loads(cloudpickle.dumps(env))
12 return env_copy

UnpicklingError: Memo value not found at index 3
```
I don't have a lot of experience with Pickle, so any advice would be welcome, thanks.