Sparse Bayes (#1748)

* Sparse Bayes

* updated perf test

* improved tests with real data

* Making sparse works in incremental mapping

* bookkeeping optimization

* small opt

* refactoring

* splitting dense and sparse in different classes to make the code more lisible

* cleanup comments

* fixing CI

* Making all Bayes tests testing both dense and sparse

* Added multisession_3it integration test (test memory management, multisession and dense/sparse bayes in that settings)

* optimized sparse when transfer/retrieval happens (was slower than dense for that case)

* Testing retrieval param variants

* Updated multisession_3it integration tests to compare loop closure hypotheses

* bump version

* Fixed ui sum of prediction

* adding g2o gtsam to linux ci

* cleanup

* added debug crash log for ci

* Simplified Bayes/SparsePrediction description

* Dont show too dense for sparse on small maps (e.g., when we just started a new map)

* fixing amd64v3 issue with gtsam on ci ubuntu 26

* Dot not auto switch to dense based on map size.

* updating test range

* added coverage tests

* Adressing coverage

* ignore one line in coverage for purpose

data/tests/.gitignore

@@ -1,6 +1,8 @@
 # Test data fetched by scripts/fetch_test_data.sh -- never tracked.
 # The manifest (basename / source URL / sha256) is the source of truth.
 *.db
+*.7z
+*.zip
 *.pt
 *.pth
 *.py