import normalize_axis_index from numpy.lib on numpy>=2
#364
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dcherian
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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) ...
dcherian
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Jun 30, 2024
* main: Bump codecov/codecov-action from 4.3.1 to 4.4.1 (#366) Cubed blockwise (#357) Remove errant print statement 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)
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This currently emits a warning, not an error (i.e. not that urgent), but I did notice this a couple of times in
xarray's CI.I'm not too happy about having to move the definition of
module_availableabove the import (isortmight revert that?), but I didn't know whether it would be fine to move that function to a separate module (and I was too lazy to try figuring out a good name for that module).