method heuristics: Avoid dot product as much as possible
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method detection optimizationmethod heuristics: Avoid dot product as much as possible
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* main: (64 commits) import `normalize_axis_index` from `numpy.lib` on `numpy>=2` (#364) Optimize `min_count` when `expected_groups` is not provided. (#236) Use threadpool for finding labels in chunk (#327) Manually fuse reindexing intermediates with blockwise reduction for cohorts. (#300) Bump codecov/codecov-action from 4.1.1 to 4.3.1 (#362) Add cubed notebook for hourly climatology example using "map-reduce" method (#356) Optimize bitmask finding for chunk size 1 and single chunk cases (#360) Edits to climatology doc (#361) Fix benchmarks (#358) Trim CI (#355) [pre-commit.ci] pre-commit autoupdate (#350) Initial minimal working Cubed example for "map-reduce" (#352) Bump codecov/codecov-action from 4.1.0 to 4.1.1 (#349) `method` heuristics: Avoid dot product as much as possible (#347) Fix nanlen with strings (#344) Fix direct quantile reduction (#343) Fix upstream-dev CI, silence warnings (#341) Bump codecov/codecov-action from 4.0.0 to 4.1.0 (#338) Fix direct reductions of Xarray objects (#339) Test with py3.12 (#336) ...
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Spotted another possible optimization
xref #346
Annoyingly
asvis broken and not running now but in a notebook:Even better now since we can use
sparsity(bitmask)as a proxy instead ofsparsity(containment)This avoids an expensive sparse matrix dot product whenbitmaskisn't particularly sparse: