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| Name: python310-streamz | Distribution: openSUSE Tumbleweed |
| Version: 0.6.4 | Vendor: openSUSE |
| Release: 3.2 | Build date: Fri Mar 15 21:57:12 2024 |
| Group: Unspecified | Build host: reproducible |
| Size: 787399 | Source RPM: python-streamz-0.6.4-3.2.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/python-streamz/streamz/ | |
| Summary: Tool to build continuous data pipelines | |
Streamz helps you build pipelines to manage continuous streams of data.
BSD-3-Clause
* Fri Mar 15 2024 Ben Greiner <code@bnavigator.de>
- Skip testing with ipywidgets on python39: no longer supported
since ipython 8.19
- Build PEP517 wheel
* Mon Oct 31 2022 Ben Greiner <code@bnavigator.de>
- Add streamz-pr455-ci-fixes.patch
* gh#python-streamz/streamz#455
- Drop support-new-distributed.patch
* Thu Aug 25 2022 Steve Kowalik <steven.kowalik@suse.com>
- Update to 0.6.4:
* No upstream changelog.
- Drop patch streamz-pr434-asyncdask.patch:
* Included upstream.
- Add patch support-new-distributed.patch:
* Also import cleanup when using loop, since distributed forces
calling it in your own context now.
- Ignore graph tests due to weird failures.
* Sun Mar 27 2022 Benjamin Greiner <code@bnavigator.de>
- Reenable tests with dask on python310
* Sun Feb 06 2022 Ben Greiner <code@bnavigator.de>
- Update to 0.6.3
* no release notes
- Add streamz-pr434-asyncdask.patch
* gh#python-streamz/streamz#434
* gh#python-streamz/streamz#439
- Don't test with dask on python310: not supported yet
- Enable test suite: cannot use ifarch in noarch package
- Add streamz-opensuse-python-exec.patch
* Sun Feb 14 2021 Dirk Müller <dmueller@suse.com>
- skip python 3.6 (no networkx anymore)
* Sat Oct 10 2020 Arun Persaud <arun@gmx.de>
- update to version 0.6.0:
* Fixed outdated docstring
* Merge pull request #362 from jbednar/docfixes
* Merge pull request #363 from jbednar/periodicdataframe
* Update docs/source/dataframes.rst
* Replaced system time with Pandas Timestamp
* Replaced system time with Pandas Timestamp
* Update docs/source/dataframes.rst
* Fixed flakes
* Added test_periodic_dataframes
* Replaced Tornado references with asyncio
* Updated dataframe docs
* Switched callbacks to use kwargs
* Added PeriodicDataFrame to the API docs
* Reformatted .rst files for 80 characters
* Fixed typos and formatting
* Fixed outdated or missing docs conf
* flake
* Added PeriodicDataFrame
* Added plotting section to the user guide
* Fixed typos
- changes from version 0.5.6:
* Merge pull request #360 from chinmaychandak/windowing_fix
* Add empty windowing index test and fix TODO
* Windowing fix conforming to Pandas
* Style fix
* Windowing over n fix
* Change delta to nanosecond
* Revert npartitions elimination
* Fix windowing over time operations
* Remove print statement
* Remove npartitions parameter for CK -- to do for custreamz.kafka
* Merge pull request #288 from jdye64/287
* Merge pull request #349 from
nils-braun/bugfix/336-problematic-dicts
* Merge pull request #350 from martindurant/fix_example_notebook
* Update for hvplot
* Use f-strings
* Fix typo
* Fix #336 by wrapping every object with a known key
* Add a test which fails on scattering dicts, as dask treats dicts
differently
* Sat Aug 15 2020 Arun Persaud <arun@gmx.de>
- update to version 0.5.5:
* Uniform indentation in pytest parameterize
* Remove test case with overlapping index
* Cleanup
* Update is_dataframe_like function
* Update docstring for custreamz accelerated Kafka reader
- changes from version 0.5.4:
* CodeCov
* Cleanup
* Add flaky marker for tests
* Change variable to with_state, add doc strings
* Retrigger + Cleanup
* Additional tests for codecov
* Flake8 remove ambigious variable name
* Remove unnecessary timedelta cast
* Docs indentation fix
* Fix groupby-mean and add individual groupby-start state for
sdf.groupby.agg({}) patterns
* Add pd.Timedelta for cudf compatibility
* Cleanup unnecessary parameters for start state
* Fix flake8
* Fix placement of tests
* Add spaces
* Remove empty lines
* Remove print statement
* Remove dask-workerspaces
* Fix indent
* Uncomment rolling aggs tests
* Correct order of parameters in rolling SDF
* Windowed-groupby aggs with start parameter and a test
* Window aggs with start parameter and a test
* Simpler parameters — Rolling aggs with start stateand tests
* Rolling aggs with start stateand tests
* Tests for groupby-aggs and reductions with start state
* Groupby aggs & simple aggs SDF start parameter added
* Merge pull request #331 from chinmaychandak/kafka_cudf_ck
* Update doc string
* Elaborate temporary steps to install custreamz
* Update doc string for accelerated Kafka datasource (2)
* Update doc string links
* Add pragma no cover to .coveragerc
* Badge for gpuCI, elaborate doc string, no-coverage for GPU
branches
* Remove ValueError
* Revert async test changes
* updated Dockerfile based on feedback to use conda for wget and vim
installs instead of OS package manager
* Remove incorrect package from yml file
* Move to Python 3.7
* Cleanup dask workerspace
* Add pytest-tornasync to dependencies
* Fix new line
* Remove dask locks
* Add async def to Dask test with @gen_cluster
* Formatting
* Remove print statments and bare excepts
* Fix indent
* reuse metadata() util in test_unique_metadata test
* pass metadata when using LRU too, fixes #327
* Sat Apr 25 2020 Arun Persaud <arun@gmx.de>
- specfile:
* update copyright year
* be more specific in %files section
* updated url
* use %pytest macro
- update to version 0.5.3:
* fix some streams overwriting Stream.buffer method closes #317
* Fixed flake8 issue and added comments to metadata tests
* Created more elegant solution for getting the metadata out of the
stream for tests
* make sure collection functions emit metadata as a flat list added
tests for metadata output
* Use only auto.offset.reset for latest functionality; add doc links
* Fix key error in consumer configs
* Consider Kafka consumer configurations
* Revert multi-kafka changes
* Multi-kafka failover
* Fix test for latest parameter
* Add the latest parameter to from_kafka_batched
* Add max_batch_size test
* Add max_batch_size parameter to from_kafka_batched
* Fix key tests
* Adding keys PR code again
* Fix collections.abc deprecation warnings
* Added documentation for Metadata and reference counting.
* Removed keys parameter from Kafka code and fixed Kafka tests
* Added documentation and cleaned up reference counter code
* Added reference counting and Kafka checkpointing
* Add keys to from_kafka_batched doc string
* Make extracting Kafka keys optional
* Fix rolling aggregate test to increase coverage
* Make Kafka message key,value a dict output
* Removing deprecated usage of renaming columns with agg()
* Fix pandas warning for deprecated usage of pd.DatetimeIndex
* Correctly forming key, value tuples for Kafka messages
* Update Kafka tests to incorporate message key
* Read key along with value for messages from Kafka
* Add reference to cuDF DataFrames support
* Update links to rst format
* Add reference to cuDF DataFrames support
* Update dataframes.rst
* STREAMZ-293: Added vscode to list of gitignore directories. This
closes# 293
* Update core.rst
* Update core.py
* Configured Travis CI to use the new conda environment file instead
of manually installing them. Also added a few more dependencies to
the environment file that were missed
* Removed cython from conda environment file as it was left their by
mistake
* Added docs requirements to conda environment file
* Added base Conda environment yml file
* fix networkx error
* add installation docs
* fix stale docstring in `streamz.unique`.
* Remove cudf tests, since they would now live to
RAPIDS/cudf/custreamz.
* Fix directory structure for checkpointing (2)
* Added cleanup of old checkpoints
* Add directory structure for checkpointing
* Checkpointing feature added
* Add groupby aggregate tests, along with a few additons for cudf
integration for SDFs
* Update build status image url in readme
* update url in setup
* Fri Sep 13 2019 Todd R <toddrme2178@gmail.com>
- Update to 0.5.2
* Remove unwanted Dask Dataframe test in dataframe utils tests.
* cudf tests for rolling aggregations
* More flexible _ipython_display_
* use _remove_downstream for slice
* add docs and fix buffered nodes
* FIX: connect doesn't break zip now
* proper link for spark streaming
* handle unique maxsize properly
* add history test and change history to maxsize
* use hashable kwarg
* allow non hashable data to be used in unique
* Remove xfail for a rolling test.
- Drop python2 support due to dependencies dropping python2 support
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