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In the cli_demos_refactor branch, I adjusted the CLI demo to use the nmf factorisation method instead of dict_learn; I may mix the fix for this into that branch as it'll be landing soon and I'm doing related work (really testing the CLI demos is what's finding these issues).
The spams package, used in:
Is no longer maintained or packaged for modern versions of Python.
The latter function appears to be dead code. The former function is used (with this option) by the CLI demo demo_behaviour.py.
This is one of the remaining conditional imports in the codebase.
It is probably best to remove the dead fuction and the option of using dict_learn with caiman.base.movies.extract_components()
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