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Extension of transform module #124

Merged
merged 98 commits into from
May 8, 2024
Merged

Extension of transform module #124

merged 98 commits into from
May 8, 2024

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EnricoTrizio
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@EnricoTrizio EnricoTrizio commented Apr 8, 2024

Description

Adding some preprocessing tools to the transform module, including descriptors computation and tools.

NB-1 Transform object are supposed not to have trainable parameters.
NB-2 Position-dependent descriptors are implemented only for cubic/orthorhombic cells.

The structure of the module is:

Tools

  • Normalization
  • Switching functions (new)
  • Continuous Histogram (new, derivable histogram using KDE)

Descriptors, acting on positions

  • Multiple descriptors (new, wrapper class to compute multiple descriptors on the same set of positions)
  • Pairwise distances (new, computes ALL pairwise distances from a set of positions)
  • Torsional angle (new, computes the torsional angle from a set of positions + index of 4 involved atoms)
  • Coordination number (new, computes from a set of positions coordination numbers of elements of group A wrt group B)
  • Eigs adjacency matrix (new, computes adjacency matrix eigenvalues. Could be moved to a tutorial)

Already implemented but likely to be kept out of this PR:

  • Radius graph (compute graph inputs in the format: edge sources, edge destinations and edge distances)
  • Radial distribution function (compute RDF from a set of position and optionally the integral of a peak)

Status

  • Ready to go

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@andrrizzi andrrizzi left a comment

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Looks good! I've left a few comment but it's only nitpicking.

For the structure, it looks ok to me, but I'd tend to have the least possible number of packages/modules called tools or utils. I might be missing the rationale here though. I usually use tools essentially as synonym for utils meaning "anything I don't know where else to put/how else to organize".

Maybe we could simply move all the transform/tools/*.py modules directly in transform/*.py. Some of the elements (like Inverse or Statistics) might deserve their own inverse.py or statistics.py module. This is mostly taste anyway. It might not be the prettiest structure to have a bunch of small modules inside a package but I usually find it helpful when I navigate codebases.

@EnricoTrizio EnricoTrizio marked this pull request as ready for review May 8, 2024 13:43
@EnricoTrizio EnricoTrizio merged commit 14d2711 into main May 8, 2024
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@EnricoTrizio EnricoTrizio deleted the transform branch May 8, 2024 13:51
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3 participants