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Since the tmm-fast is published on pipy.org I think it is better to keep dependencies as minimal as possible.
For instance, it would be better to remove dask from dependencies, as it is not directly used anywhere in the project.
The main functionality in vectorized_tmm_dispersive_multistack.py and tmm_fast_torch.py does not require gymnasium, matplotlib and seaborn, therefore we can declare them as optional ones.
Probably, it could be even better to split the TMM and AI functionality into two separate projects...
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