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Python implementation of block decomposition method for approximating algorithmic complexity

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- add `conditional_bdm(X,Y)` and `test_conditional_bdm` based on supplementary from [Hernández-Orozco S, Zenil H, (2021)](https://doi.org/10.3389/frai.2020.567356) - add compute_f_of_intersect used in Coarse Conditional BDM to compute ![f(n_xj,n_yj)](http://www.sciweavers.org/tex2img.php?eq=%20f%20%5Cbig%28n%5Ex_j%2C%20n%5Ey_j%5Cbig%29&bc=White&fc=Black&im=jpg&fs=12&ff=modern&edit=0) - add pytest mark for...

It would be perhaps useful to send warnings when for instance entropy is zero, but because the data is short and was decomposed to only one block, as this may...

enhancement
release

As in the title. Should be done in the next non-patch release.

testing
release

As in the title. It should be done in the nearest release (or just as a patch).

patch

Hello Szymon, This PR has the following new features / updates: 1. Causal Deconvolution algorithm with test classes 2. Periodic Partition with test classes 3. Update of metadata files for...