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requirements.txt is a raw pip freeze of a dev machine (jupyter, sphinx, appnope, argon2-cffi, …) pinned with ==, and inconsistent with pyproject.toml (numpy~=2.2.6 there vs. numpy>=1.20 in pyproject — and the code doesn't work on NumPy 2).
No license header in any of the 14 source files. The MLOSS submission checklist asks that licensing terms be "mentioned in each source file".
causationentropy/__init__.py does from . import core, datasets, tests — the test package is shipped and imported into the public namespace.
requirements.txtis a rawpip freezeof a dev machine (jupyter, sphinx,appnope,argon2-cffi, …) pinned with==, and inconsistent withpyproject.toml(numpy~=2.2.6there vs.numpy>=1.20in pyproject — and the code doesn't work on NumPy 2).causationentropy/__init__.pydoesfrom . import core, datasets, tests— the test package is shipped and imported into the public namespace.Testsbadge points at[github.com/kslote1/causationentropy](http://github.com/kslote1/causationentropy), not the org repo.PyPIclassifier isDevelopment Status :: 3 - Alpha; consider updating if you consider v1.1 publication-ready.linear_stochastic_gaussian_processhasseed=42as a default, so the documentations Code Sample 1 silently always generates the same dataset.