Make Dask and Distributed optional dependencies #1061
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nils-braun
reviewed
Jan 27, 2024
Dask was de facto optional already (see the guarded import in
tsfresh/feature_extraction/data.py), but before this commit it was
installed by default.
Distributed is imported only to support Dask, when the classes
ClusterDaskDistribution or LocalDaskDistribution are used, so it is not
needed if Dask is not imported.
To install tsfresh with those dependencies, one can do:
pip install -e ".[dask]"
This is needed, for example, to run the test suite. The documentation
has been updated accordingly.
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nils-braun
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Jan 28, 2024
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Thanks @lifepillar! I just changed the "tsfresh[dask]" to "%(dask)s" in the setup.cfg, because it is more general - but other than that LGTM!
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #1061 +/- ##
==========================================
+ Coverage 93.43% 93.85% +0.42%
==========================================
Files 20 20
Lines 1888 1888
Branches 372 372
==========================================
+ Hits 1764 1772 +8
+ Misses 85 78 -7
+ Partials 39 38 -1 ☔ View full report in Codecov by Sentry. |
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Addresses #1060.
Dask was de facto optional already (see the guarded import in
tsfresh/feature_extraction/data.py), but before this PR it was installed by default.Distributed is imported only to support Dask, when the classes
ClusterDaskDistributionorLocalDaskDistributionare used, so it is not needed if Dask is not imported.To install tsfresh with those dependencies, one can do:
This is needed, for example, to run the test suite.The documentation has been updated accordingly.