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Revisions of python-dask

Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1223590 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 82) 
- update to 2024.11.1:
  * Zarr-Python 3 compatibility  (:pr:`11388`)
  * Avoid exponentially increasing taskgraph in overlap
  * Ensure numba tokenization does not use slow pickle path
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1199615 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 81) 
- update to 2024.8.2:
  * Avoid capturing code of xdist @fjetter
  * Reduce memory footprint of culling P2P rechunking
  * Add tests for choosing default rechunking method
  * Increase visibility of GPU CI updates @charlesbluca
  * Bump test\_pause\_while\_idle timeout @fjetter
  * Concatenate small input chunks before P2P rechunking
  * Remove dump cluster from gen\_cluster @fjetter
  * Bump `numpy>=1.24` and `pyarrow>=14.0.1` minimum versions
  * Fix PipInstall plugin on Worker @hendrikmakait
  * Remove more Python 3.10 compatibility code @jrbourbeau
  * Use task-based rechunking to prechunk along partial
    boundaries @hendrikmakait
  * Ensure client\_desires\_keys does not corrupt Scheduler state
    @fjetter
  * Bump minimum ``cloudpickle`` to 3 @jrbourbeau
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1186062 from Steve Kowalik's avatar Steve Kowalik (StevenK) (revision 78) 
- Update to 2024.6.2:
  * profile._f_lineno: handle next_line being None in Python 3.13
  * Cache global query-planning config
  * Python 3.13 fixes
  * Fix test_map_freq_to_period_start for pandas=3
  * Tokenizing memmap arrays will now avoid materializing the array into
    memory.
  * Fix test_dt_accessor with query planning disabled
  * Remove deprecated dask.compatibility module
  * Ensure compatibility for xarray.NamedArray
  * Avoid rounding error in
    test_prometheus_collect_count_total_by_cost_multipliers
  * Log key collision count in update_graph log event
  * Rename safe to expected in Scheduler.remove_worker
  * Eagerly update aggregate statistics for TaskPrefix instead of
    calculating them on-demand
  * Improve graph submission time for P2P rechunking by avoiding unpack
    recursion into indices
  * Add safe keyword to remove-worker event
  * Improved errors and reduced logging for P2P RPC calls
  * Adjust P2P tests for dask-expr
  * Iterate over copy of Server.digests_total_since_heartbeat to avoid
    RuntimeError
  * Add Prometheus gauge for task groups
  * Fix too strict assertion in shuffle code for pandas subclasses
  * Reduce noise from erring tasks that are not supposed to be running
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1146835 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 75) 
Forwarded request #1146758 from bnavigator

- Update to 2024.2.0
    * Deprecate Dask DataFrame implementation
    * Improved tokenization
    * https://docs.dask.org/en/stable/changelog.html#v2024-2-0
  - Really drop python39 from testing instead of testing it with
    every other test flavor
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1142781 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 74) 
- update to 2024.1.1:
  * This release contains compatibility updates for the latest
    pandas and scipy releases. See :pr:`10834`, :pr:`10849`,
    :pr:`10845`, and :pr-distributed:`8474` from `crusaderky`_
    for details.
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1140136 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 73) 
- update to 2024.1.0:
  * Released on January 12, 2024
  * P2P rechunking now utilizes the relationships between input
    and output chunks. For situations that do not require all-to-
    all data transfer, this may significantly reduce the runtime
    and memory/disk footprint. It also enables task culling.
  * The fastparquet Parquet engine has been deprecated. Users
    should migrate to the pyarrow engine by installing PyArrow
    and removing engine="fastparquet" in read_parquet or
    to_parquet calls.
  * This release improves serialization robustness for arbitrary
    data. Previously there were some cases where serialization
    could fail for non-msgpack serializable data. In those cases
    we now fallback to using pickle.
  * Deprecate shuffle keyword in favour of shuffle_method for
    DataFrame methods (:pr:`10738`) `Hendrik Makait`_
  * Deprecate automatic argument inference in repartition
  * Deprecate compute parameter in set_index
  * Deprecate inplace in eval
  * Deprecate Series.view
  * Deprecate npartitions="auto" for set_index & sort_values
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1135096 from Factory Maintainer's avatar Factory Maintainer (factory-maintainer) (revision 72) 
Automatic submission by obs-autosubmit
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 1132242 from Factory Maintainer's avatar Factory Maintainer (factory-maintainer) (revision 71) 
Automatic submission by obs-autosubmit
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1127184 from Ondřej Súkup's avatar Ondřej Súkup (mimi_vx) (revision 70) 
- Update to 2023.11.0
 * Zero-copy P2P Array Rechunking
 * Deprecating PyArrow <14.0.1
 * Improved PyArrow filesystem for Parquet
 * Improve Type Reconciliation in P2P Shuffling
 * official support for Python 3.12
 * Reduced memory pressure for multi array reductions
 * improved P2P shuffling robustness
 * Reduced scheduler CPU load for large graphs (forwarded request 1127183 from mimi_vx)
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 1090990 from Steve Kowalik's avatar Steve Kowalik (StevenK) (revision 67) 
- Tighten bokeh requirement to match distributed. 

- Update to 2023.5.1
  * This release drops support for Python 3.8. As of this release
    Dask supports Python 3.9, 3.10, and 3.11.
  ## Enhancements
  * Drop Python 3.8 support (GH#10295) Thomas Grainger
  * Change Dask Bag partitioning scheme to improve cluster
    saturation (GH#10294) Jacob Tomlinson
  * Generalize dd.to_datetime for GPU-backed collections, introduce
    get_meta_library utility (GH#9881) Charles Blackmon-Luca
  * Add na_action to DataFrame.map (GH#10305) Patrick Hoefler
  * Raise TypeError in DataFrame.nsmallest and DataFrame.nlargest
    when columns is not given (GH#10301) Patrick Hoefler
  * Improve sizeof for pd.MultiIndex (GH#10230) Patrick Hoefler
  * Support duplicated columns in a bunch of DataFrame methods
    (GH#10261) Patrick Hoefler
  * Add numeric_only support to DataFrame.idxmin and
    DataFrame.idxmax (GH#10253) Patrick Hoefler
  * Implement numeric_only support for DataFrame.quantile
    (GH#10259) Patrick Hoefler
  * Add support for numeric_only=False in DataFrame.std (GH#10251)
    Patrick Hoefler
  * Implement numeric_only=False for GroupBy.cumprod and
    GroupBy.cumsum (GH#10262) Patrick Hoefler
  * Implement numeric_only for skew and kurtosis (GH#10258) Patrick
    Hoefler
  * mask and where should accept a callable (GH#10289) Irina Truong
  * Fix conversion from Categorical to pa.dictionary in
    read_parquet (GH#10285) Patrick Hoefler
Displaying revisions 1 - 20 of 82
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