Spatial bubble sort swaps

[kahaaga]

While working on the "accelerating research" section of the paper, I decided to do an experiment to see how efficient our APIs are.

I wanted to see how long it would take to generalize one of the existing outcome spaces to another spatial outcome space. The conclusion: it took roughly 2 hours, from conceiving the idea to finishing this PR.

Contents of this PR

Introduces a new spatial outcome space: SpatialBubbleSortSwaps which encodes based on the "bubble sorting complexity" of the elements of hypervoxel windows. This works very similarly to SpatialOrdinalPatterns and SpatialDispersion, except the encoding is in terms of how many swaps are necessary to sort each window.

• Implemented codify, counts_and_outcomes, total_outcomes and outcome_space.
• Pretty printing of the constructor (including tests).
• Tests.
• Referred to in docs.
• Added change log entry
• Minor version increment.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 88.83%. Comparing base (70c4ab0) to head (9241235).

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #393      +/-   ##
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+ Coverage   88.74%   88.83%   +0.08%     
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  Files          85       86       +1     
  Lines        2444     2463      +19     
==========================================
+ Hits         2169     2188      +19     
  Misses        275      275              

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[Datseris]

Any outcome space that does delay embeddings is immediatelly generalizable to spatial data. We just need to alter codify for it so that it does different embedding and construction of the vector of vectors (vectors of views in this case to be precise). But I guess we should leave this for another point. I would much rather finish the paper now. I am really in despearate stress to finish projects and publish them!