Integration with fragile v0.0.44 about mathy

[justindujardin]

Thanks for the gist example! Based on it I was able to get the new style code working without a plangym dependency! 👏

I had to open a PR to fragile because it was pulling in the plangym dependency in the core library (and with it pillow-simd)

Here's the PR that implements your gist: #39

[justindujardin]

@all-contributors please add @Guillemdb for code

[allcontributors]

@justindujardin

I've put up a pull request to add @Guillemdb! 🎉

[justindujardin]

Thanks for your help @Guillemdb!

I had some trouble with the ParallelEnv wrapper, so I removed it for now. When I used it I got an error about FragileEnvironment doesn't have a __call__ method:

def swarm_solve(problem: str, config: SwarmConfig):
    env_callable = lambda: FragileMathyEnv(
        name="mathy_v0", problem=problem, repeat_problem=True
    )
    mathy_env: MathyEnv = env_callable()._env._env.mathy
    if config.use_mp:
        env_callable = ParallelEnv(env_callable=env_callable)
    swarm = Swarm(
        model=lambda env: DiscreteMasked(env=env),
        env=env_callable,
        reward_limit=EnvRewards.WIN,
        n_walkers=config.n_walkers,
        max_epochs=config.max_iters,
        reward_scale=1,
        distance_scale=3,
        distance_function=mathy_dist,
        show_pbar=False,
    )

If it's helpful for you I can reproduce the error again, otherwise, I'll just leave the Parallel runner out for the moment since I'm short on time.

I also had the all-contributors bot add you to the contributor list because of your fragile and gist contributions. This means you'll show up on the site and in the GitHub readme:

• https://github.com/justindujardin/mathy#contributors
• https://mathy.ai/#contributors

[github-actions]

🎉 This issue has been resolved in version 0.7.9 🎉

The release is available on GitHub release

Your semantic-release bot 📦🚀

[Guillemdb]

@justindujardin this is my fault, I made a mistake gist where I showed you how to define the parallel environment.

It should also be passed as an env_callable just like a regular environment with lambda: ParallelEnv(env_callable=env_callable), but I will be adding a __call__ method to avoid having to create a lambda function. Thanks fot the idea.

@justindujardin

I've put up a pull request to add @Guillemdb! tada

Thank you man! I really appreciate it. I am sorry I couldn't help you more this weekend.

[justindujardin]

Thanks for the mp fix! I restored the functionality in #42 👏