Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-dask for openSUSE:Factory
checked in at 2023-06-07 23:06:37
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-dask (Old)
and /work/SRC/openSUSE:Factory/.python-dask.new.15902 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-dask"
Wed Jun 7 23:06:37 2023 rev:67 rq:1090990 version:2023.5.1
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-dask/python-dask.changes 2023-04-05
21:35:26.714496609 +0200
+++ /work/SRC/openSUSE:Factory/.python-dask.new.15902/python-dask.changes
2023-06-07 23:07:06.995236946 +0200
@@ -1,0 +2,143 @@
+Mon Jun 5 23:42:44 UTC 2023 - Steve Kowalik <steven.kowa...@suse.com>
+
+- Tighten bokeh requirement to match distributed.
+
+-------------------------------------------------------------------
+Fri May 26 19:59:37 UTC 2023 - Ben Greiner <c...@bnavigator.de>
+
+- 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
+ ## Bug Fixes
+ * Spurious config on nested annotations (GH#10318) crusaderky
+ * Fix rechunking behavior for dimensions with known and unknown
+ chunk sizes (GH#10157) Hendrik Makait
+ * Enable drop to support mismatched partitions (GH#10300) James
+ Bourbeau
+ * Fix divisions construction for to_timestamp (GH#10304) Patrick
+ Hoefler
+ * pandas ExtensionDtype raising in Series reduction operations
+ (GH#10149) Patrick Hoefler
+ * Fix regression in da.random interface (GH#10247) Eray Aslan
+ * da.coarsen doesnât trim an empty chunk in meta (GH#10281) Irina
+ Truong
+ * Fix dtype inference for engine="pyarrow" in read_csv (GH#10280)
+ Patrick Hoefler
+- Release 2023.5.0
+ ## Enhancements
+ * Implement numeric_only=False for GroupBy.corr and GroupBy.cov
+ (GH#10264) Patrick Hoefler
+ * Add support for numeric_only=False in DataFrame.var (GH#10250)
+ Patrick Hoefler
+ * Add numeric_only support to DataFrame.mode (GH#10257) Patrick
+ Hoefler
+ * Add DataFrame.map to dask.DataFrame API (GH#10246) Patrick
+ Hoefler
+ * Adjust for DataFrame.applymap deprecation and all NA concat
+ behaviour change (GH#10245) Patrick Hoefler
+ * Enable numeric_only=False for DataFrame.count (GH#10234)
+ Patrick Hoefler
+ * Disallow array input in mask/where (GH#10163) Irina Truong
+ * Support numeric_only=True in GroupBy.corr and GroupBy.cov
+ (GH#10227) Patrick Hoefler
+ * Add numeric_only support to GroupBy.median (GH#10236) Patrick
+ Hoefler
+ * Support mimesis=9 in dask.datasets (GH#10241) James Bourbeau
+ * Add numeric_only support to min, max and prod (GH#10219)
+ Patrick Hoefler
+ * Add numeric_only=True support for GroupBy.cumsum and
+ GroupBy.cumprod (GH#10224) Patrick Hoefler
+ * Add helper to unpack numeric_only keyword (GH#10228) Patrick
+ Hoefler
+ ## Bug Fixes
+ * Fix clone + from_array failure (GH#10211) crusaderky
+ * Fix dataframe reductions for ea dtypes (GH#10150) Patrick
+ Hoefler
+ * Avoid scalar conversion deprecation warning in numpy=1.25
+ (GH#10248) James Bourbeau
+ * Make sure transform output has the same index as input
+ (GH#10184) Irina Truong
+ * Fix corr and cov on a single-row partition (GH#9756) Irina
+ Truong
+ * Fix test_groupby_numeric_only_supported and
+ test_groupby_aggregate_categorical_observed upstream errors
+ (GH#10243) Irina Truong
+- Release 2023.4.1
+ ## Enhancements
+ * Implement numeric_only support for DataFrame.sum (GH#10194)
+ Patrick Hoefler
+ * Add support for numeric_only=True in GroupBy operations
+ (GH#10222) Patrick Hoefler
+ * Avoid deep copy in DataFrame.__setitem__ for pandas 1.4 and up
+ (GH#10221) Patrick Hoefler
+ * Avoid calling Series.apply with _meta_nonempty (GH#10212)
+ Patrick Hoefler
+ * Unpin sqlalchemy and fix compatibility issues (GH#10140)
+ Patrick Hoefler
+ ## Bug Fixes
+ * Partially revert default client discovery (GH#10225) Florian
+ Jetter
+ * Support arrow dtypes in Index meta creation (GH#10170) Patrick
+ Hoefler
+ * Repartitioning raises with extension dtype when truncating
+ floats (GH#10169) Patrick Hoefler
+ * Adjust empty Index from fastparquet to object dtype (GH#10179)
+ Patrick Hoefler
+- Release 2023.4.0
+ ## Enhancements
+ * Override old default values in update_defaults (GH#10159) Gabe
+ Joseph
+ * Add a CLI command to list and get a value from dask config
+ (GH#9936) Irina Truong
+ * Handle string-based engine argument to read_json (GH#9947)
+ Richard (Rick) Zamora
+ * Avoid deprecated GroupBy.dtypes (GH#10111) Irina Truong
+ ## Bug Fixes
+ * Revert grouper-related changes (GH#10182) Irina Truong
+ * GroupBy.cov raising for non-numeric grouping column (GH#10171)
+ Patrick Hoefler
+ * Updates for Index supporting numpy numeric dtypes (GH#10154)
+ Irina Truong
+ * Preserve dtype for partitioning columns when read with pyarrow
+ (GH#10115) Patrick Hoefler
+ * Fix annotations for to_hdf (GH#10123) Hendrik Makait
+ * Handle None column name when checking if columns are all
+ numeric (GH#10128) Lawrence Mitchell
+ * Fix valid_divisions when passed a tuple (GH#10126) Brian
+ Phillips
+ * Maintain annotations in DataFrame.categorize (GH#10120) Hendrik
+ Makait
+ * Fix handling of missing min/max parquet statistics during
+ filtering (GH#10042) Richard (Rick) Zamora
+ ## Deprecations
+ * Deprecate use_nullable_dtypes= and add dtype_backend=
+ (GH#10076) Irina Truong
+ * Deprecate convert_dtype in Series.apply (GH#10133) Irina Truong
+- Drop dask-pr10042-parquetstats.patch
+
+-------------------------------------------------------------------
Old:
----
dask-2023.3.2.tar.gz
dask-pr10042-parquetstats.patch
New:
----
dask-2023.5.1.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-dask.spec ++++++
--- /var/tmp/diff_new_pack.BzPyfA/_old 2023-06-07 23:07:07.711241103 +0200
+++ /var/tmp/diff_new_pack.BzPyfA/_new 2023-06-07 23:07:07.719241149 +0200
@@ -45,61 +45,72 @@
Name: python-dask%{psuffix}
# ===> Note: python-dask MUST be updated in sync with python-distributed! <===
-Version: 2023.3.2
+Version: 2023.5.1
Release: 0
Summary: Minimal task scheduling abstraction
License: BSD-3-Clause
URL: https://dask.org
# SourceRepository: https://github.com/dask/dask
Source0:
https://files.pythonhosted.org/packages/source/d/dask/dask-%{version}.tar.gz
-# PATCH-FIX-UPSTREAM dask-pr10042-parquetstats.patch gh#dask/dask#10042
-Patch0: dask-pr10042-parquetstats.patch
-BuildRequires: %{python_module base >= 3.8}
+BuildRequires: %{python_module base >= 3.9}
BuildRequires: %{python_module packaging >= 20.0}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module setuptools}
+BuildRequires: %{python_module versioneer-toml >= 0.28}
BuildRequires: %{python_module wheel}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
Requires: python-PyYAML >= 5.3.1
-Requires: python-click >= 7
-Requires: python-cloudpickle >= 1.1.1
-Requires: python-fsspec >= 0.6.0
+Requires: python-click >= 8
+Requires: python-cloudpickle >= 1.5
+Requires: python-fsspec >= 2021.9
Requires: python-importlib-metadata >= 4.13.0
Requires: python-packaging >= 20.0
Requires: python-partd >= 1.2.0
-Requires: python-toolz >= 0.8.2
+Requires: python-toolz >= 0.10.0
Requires(post): update-alternatives
Requires(postun):update-alternatives
Recommends: %{name}-array = %{version}
-Recommends: %{name}-bag = %{version}
Recommends: %{name}-dataframe = %{version}
-Recommends: %{name}-delayed = %{version}
Recommends: %{name}-distributed = %{version}
-Recommends: %{name}-dot = %{version}
-Recommends: python-SQLAlchemy >= 1.4.0
-Recommends: python-cityhash
-Recommends: python-fastparquet
-Recommends: python-gcsfs >= 0.4.0
-Recommends: python-murmurhash
-Recommends: python-psutil
-Recommends: python-pyarrow >= 0.14.0
-Recommends: python-s3fs >= 0.4.0
-Recommends: python-xxhash
Suggests: %{name}-complete = %{version}
Suggests: %{name}-diagnostics = %{version}
+# SECTION https://docs.dask.org/en/stable/install.html#optional-dependencies
+Suggests: python-SQLAlchemy >= 1.4.16
+Suggests: python-cityhash >= 0.2.4
+Suggests: python-fastparquet >= 0.8.2
+Suggests: python-gcsfs >= 2021.9.0
+Suggests: python-crick >= 0.0.3
+Suggests: python-cytoolz >= 0.10.1
+Suggests: python-dask-ml >= 1.4.0
+Suggests: python-fastavro >= 0.22.6
+Suggests: python-graphviz >= 0.8.4
+Suggests: python-h5py >= 2.10.0
+Suggests: python-psutil >= 0.5.7
+Suggests: python-pyarrow >= 0.14.0
+Suggests: python-matplotlib
+Suggests: python-mimesis >= 5.3.0
+Suggests: python-mmh3 >= 2.5.1
+Suggests: python-sparse >= 0.12.0
+Suggests: python-s3fs >= 0.4.0
+Suggests: python-xxhash >= 1.4.1
+Suggests: python-zarr >= 2.12.0
+# /SECTION
+Provides: %{name}-bag = %{version}-%{release}
+Obsoletes: %{name}-bag < %{version}-%{release}
+Provides: %{name}-delayed = %{version}-%{release}
+Obsoletes: %{name}-delayed < %{version}-%{release}
+Provides: %{name}-dot = %{version}-%{release}
+Obsoletes: %{name}-dot < %{version}-%{release}
Provides: %{name}-multiprocessing = %{version}-%{release}
Obsoletes: %{name}-multiprocessing < %{version}-%{release}
BuildArch: noarch
%if %{with test}
# test that we specified all requirements correctly in the core
-# and subpackages by only requiring dask-complete and optional extras
+# and subpackages by only requiring dask-test (= [complete] + pytest) and
optional extras
BuildRequires: %{python_module dask-test = %{version}}
-BuildRequires: %{python_module pytest-rerunfailures}
-BuildRequires: %{python_module pytest-xdist}
-BuildRequires: %{python_module pytest}
# SECTION additional optionally tested (importorskip) packages
-BuildRequires: %{python_module SQLAlchemy >= 1.4.0}
+BuildRequires: %{python_module SQLAlchemy >= 1.4.16}
BuildRequires: %{python_module cachey}
BuildRequires: %{python_module fastparquet >= 0.8.0}
# optional zarr increases fsspec miminum to 0.8.4 if present
@@ -110,15 +121,15 @@
BuildRequires: %{python_module matplotlib}
BuildRequires: %{python_module mimesis}
BuildRequires: %{python_module multipledispatch}
-BuildRequires: %{python_module numba if %python-base < 3.11}
+BuildRequires: %{python_module numba}
# snappy required for using fastparquet
BuildRequires: %{python_module python-snappy}
BuildRequires: %{python_module requests}
BuildRequires: %{python_module scikit-image}
BuildRequires: %{python_module scipy}
-BuildRequires: %{python_module sparse if %python-base < 3.11}
+BuildRequires: %{python_module sparse}
BuildRequires: %{python_module tables}
-BuildRequires: %{python_module xarray if %python-base >= 3.9}
+BuildRequires: %{python_module xarray}
BuildRequires: %{python_module zarr}
# /SECTION
%endif
@@ -141,12 +152,9 @@
Summary: All dask components
Requires: %{name} = %{version}
Requires: %{name}-array = %{version}
-Requires: %{name}-bag = %{version}
Requires: %{name}-dataframe = %{version}
-Requires: %{name}-delayed = %{version}
Requires: %{name}-diagnostics = %{version}
Requires: %{name}-distributed = %{version}
-Requires: %{name}-dot = %{version}
Requires: python-lz4 >= 4.3.2
Requires: python-pyarrow >= 7
Provides: %{name}-all = %{version}-%{release}
@@ -190,29 +198,6 @@
Dask arrays implement a subset of the NumPy interface on large
arrays using blocked algorithms and task scheduling.
-%package bag
-Summary: Data structure generic python objects in dask
-Requires: %{name} = %{version}
-
-%description bag
-A flexible library for parallel computing in Python.
-
-Dask is composed of two parts:
-- Dynamic task scheduling optimized for computation. This is similar to
- Airflow, Luigi, Celery, or Make, but optimized for interactive
- computational workloads.
-- âBig Dataâ collections like parallel arrays, dataframes, and lists that
- extend common interfaces like NumPy, Pandas, or Python iterators to
- larger-than-memory or distributed environments. These parallel collections
- run on top of dynamic task schedulers.
-
-This package contains the dask bag class.
-
-Dask.Bag parallelizes computations across a large collection of
-generic Python objects. It is particularly useful when dealing
-with large quantities of semi-structured data like JSON blobs
-or log files.
-
%package dataframe
Summary: Pandas-like DataFrame data structure for dask
Requires: %{name} = %{version}
@@ -264,8 +249,7 @@
Summary: Diagnostics for dask
Requires: %{name} = %{version}
Requires: python-Jinja2 >= 2.10.3
-# Not ready yet: https://github.com/dask/dask/pull/9659, we provide a legacy
bokeh2 in Tumbleweed
-Requires: (python-bokeh >= 2.4.2 with python-bokeh < 3)
+Requires: python-bokeh >= 3.1
%description diagnostics
A flexible library for parallel computing in Python.
@@ -281,49 +265,18 @@
This package contains the dask.diagnostics module
-%package delayed
-Summary: Delayed module for dask
-Requires: %{name} = %{version}
-
-%description delayed
-A flexible library for parallel computing in Python.
-
-Dask is composed of two parts:
-- Dynamic task scheduling optimized for computation. This is similar to
- Airflow, Luigi, Celery, or Make, but optimized for interactive
- computational workloads.
-- âBig Dataâ collections like parallel arrays, dataframes, and lists that
- extend common interfaces like NumPy, Pandas, or Python iterators to
- larger-than-memory or distributed environments. These parallel collections
- run on top of dynamic task schedulers.
-
-This package contains the dask.delayed module
-
-%package dot
-Summary: Display dask graphs using graphviz
-Requires: %{name} = %{version}
-Requires: graphviz
-Requires: graphviz-gd
-Requires: graphviz-gnome
-Requires: python-graphviz
-
-%description dot
-A flexible library for parallel computing in Python.
-
-Dask is composed of two parts:
-- Dynamic task scheduling optimized for computation. This is similar to
- Airflow, Luigi, Celery, or Make, but optimized for interactive
- computational workloads.
-- âBig Dataâ collections like parallel arrays, dataframes, and lists that
- extend common interfaces like NumPy, Pandas, or Python iterators to
- larger-than-memory or distributed environments. These parallel collections
- run on top of dynamic task schedulers.
-
-This package contains the graphviz dot rendering interface.
-
%package test
Summary: The test submodules of the python-dask package
Requires: %{name}-complete = %{version}
+Requires: python-pandas
+# SECTION pandas[test]
+Requires: python-hypothesis
+Requires: python-pytest-asyncio
+# /SECTION
+Requires: python-pre-commit
+Requires: python-pytest
+Requires: python-pytest-rerunfailures
+Requires: python-pytest-xdist
%description test
Dask is a flexible library for parallel computing in Python.
@@ -332,8 +285,7 @@
%prep
%autosetup -p1 -n dask-%{version}
-sed -i '/addopts/d' setup.cfg
-chmod a-x dask/dataframe/io/orc/utils.py
+sed -i '/addopts/d' pyproject.toml
%build
%pyproject_wheel
@@ -372,6 +324,8 @@
# https://github.com/dask/dask/issues/8620
donttest+=" or test_query_with_meta"
donttest+=" or test_repartition_npartitions"
+ #
+ donttest+=" or test_pandas_multiindex"
fi
# (rarely) flaky on obs
donttest+=" or test_local_scheduler"
@@ -397,12 +351,10 @@
%{python_sitelib}/dask/
%{python_sitelib}/dask-%{version}.dist-info
%exclude %{python_sitelib}/dask/array/
-%exclude %{python_sitelib}/dask/bag/
%exclude %{python_sitelib}/dask/dataframe/
%exclude %{python_sitelib}/dask/diagnostics
-%exclude %{python_sitelib}/dask/delayed.py*
-%exclude %{python_sitelib}/dask/dot.py*
%exclude %{python_sitelib}/dask/tests
+%exclude %{python_sitelib}/dask/bag/tests
%exclude %{python_sitelib}/dask/bytes/tests
%exclude %{python_sitelib}/dask/widgets/tests
%pycache_only %exclude %{python_sitelib}/dask/__pycache__/delayed*.pyc
@@ -416,11 +368,6 @@
%{python_sitelib}/dask/array/
%exclude %{python_sitelib}/dask/array/tests
-%files %{python_files bag}
-%license LICENSE.txt
-%{python_sitelib}/dask/bag/
-%exclude %{python_sitelib}/dask/bag/tests
-
%files %{python_files dataframe}
%license LICENSE.txt
%{python_sitelib}/dask/dataframe/
@@ -431,21 +378,11 @@
%files %{python_files distributed}
%license LICENSE.txt
-%files %{python_files dot}
-%license LICENSE.txt
-%{python_sitelib}/dask/dot.py*
-%pycache_only %{python_sitelib}/dask/__pycache__/dot.*
-
%files %{python_files diagnostics}
%license LICENSE.txt
%{python_sitelib}/dask/diagnostics/
%exclude %{python_sitelib}/dask/diagnostics/tests
-%files %{python_files delayed}
-%license LICENSE.txt
-%{python_sitelib}/dask/delayed.py*
-%pycache_only %{python_sitelib}/dask/__pycache__/delayed*.pyc
-
%files %{python_files test}
%license LICENSE.txt
%{python_sitelib}/dask/tests
++++++ dask-2023.3.2.tar.gz -> dask-2023.5.1.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-dask/dask-2023.3.2.tar.gz
/work/SRC/openSUSE:Factory/.python-dask.new.15902/dask-2023.5.1.tar.gz differ:
char 5, line 1
