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py-dask: Update to 2022.5.0



Module Name:	pkgsrc-wip
Committed By:	Matthew Danielson <matthewd%fastmail.us@localhost>
Pushed By:	matthewd
Date:		Mon May 9 05:30:36 2022 -0700
Changeset:	c5b8d80d9931802e173df5ea2e993b874154dc86

Modified Files:
	py-dask/Makefile
	py-dask/PLIST
	py-dask/distinfo

Log Message:
py-dask: Update to 2022.5.0

Changes since 2022.4.0:

Highlights

This is a bugfix release for this issue.( "Bug" introduced in 2022.04.2 requiring explicit cluster close Github #6255 )
Documentation
    Add highlights section to 2022.04.2 release notes (GH#9012) James Bourbeau

2022.04.2
Released on April 29, 2022
Highlights
This release includes several deprecations/breaking API changes to dask.dataframe.read_parquet and dask.dataframe.to_parquet:
    to_parquet no longer writes _metadata files by default. If you want to write a _metadata file, you can pass in write_metadata_file=True.
    read_parquet now defaults to split_row_groups=False, which results in one Dask dataframe partition per parquet file when reading in a parquet dataset. If you’re working with large parquet files you may need to set split_row_groups=True to reduce your partition size.
    read_parquet no longer calculates divisions by default. If you require read_parquet to return dataframes with known divisions, please set calculate_divisions=True.
    read_parquet has deprecated the gather_statistics keyword argument. Please use the calculate_divisions keyword argument instead.
    read_parquet has deprecated the require_extensions keyword argument. Please use the parquet_file_extension keyword argument instead.
New Features
    Add removeprefix and removesuffix as StringMethods (GH#8912) Jorge López
Enhancements
    Call fs.invalidate_cache in to_parquet (GH#8994) Jim Crist-Harif
    Change to_parquet default to write_metadata_file=None (GH#8988) Jim Crist-Harif
    Let arg reductions pass keepdims (GH#8926) Julia Signell
    Change split_row_groups default to False in read_parquet (GH#8981) Richard (Rick) Zamora
    Improve NotImplementedError message for da.reshape (GH#8987) Jim Crist-Harif
    Simplify to_parquet compute path (GH#8982) Jim Crist-Harif
    Raise an error if you try to use vindex with a Dask object (GH#8945) Julia Signell
    Avoid pre_buffer=True when a precache method is specified (GH#8957) Richard (Rick) Zamora
    from_dask_array uses blockwise instead of merging graphs (GH#8889) Bryan Weber
    Use pre_buffer=True for “pyarrow” Parquet engine (GH#8952) Richard (Rick) Zamora
Bug Fixes
    Handle dtype=None correctly in da.full (GH#8954) Tom White
    Fix dask-sql bug caused by blockwise fusion (GH#8989) Richard (Rick) Zamora
    to_parquet errors for non-string column names (GH#8990) Jim Crist-Harif
    Make sure da.roll works even if shape is 0 (GH#8925) Julia Signell
    Fix recursion error issue with set_index (GH#8967) Paul Hobson
    Stringify BlockwiseDepDict mapping values when produces_keys=True (GH#8972) Richard (Rick) Zamora
    Use DataFram`eIOLayer in DataFrame.from_delayed (GH#8852) Richard (Rick) Zamora
    Check that values for the in predicate in read_parquet are correct (GH#8846) Bryan Weber
    Fix bug for reduction of zero dimensional arrays (GH#8930) Tom White
    Specify dtype when deciding division using np.linspace in read_sql_query (GH#8940) Cheun Hong
Deprecations
    Deprecate gather_statistics from read_parquet (GH#8992) Richard (Rick) Zamora
    Change require_extension to top-level parquet_file_extension read_parquet kwarg (GH#8935) Richard (Rick) Zamora
Documentation
    Update write_metadata_file discussion in documentation (GH#8995) Richard (Rick) Zamora
    Update DataFrame.merge docstring (GH#8966) Pavithra Eswaramoorthy
    Added description for parameter align_arrays in array.blockwise() (GH#8977) ParticularMiner
    ecommend not to use map_block(drop_axis=...) on chunked axes of an array (GH#8921) ParticularMiner
    Add copy button to code snippets in docs (GH#8956) James Bourbeau
Maintenance
    Pandas 1.5.0 compatibility (GH#8961) Ian Rose
    Add pytest-timeout to distributed envs on CI (GH#8986) Julia Signell
    Improve read_parquet docstring formatting (GH#8971) Bryan Weber
    Remove pytest.warns(None) (GH#8924) Pavithra Eswaramoorthy
    Document Python 3.10 as supported (GH#8976) Eray Aslan
    parse_timedelta option to enforce explicit unit (GH#8969) crusaderky
    mypy compatibility (GH#8854) Paul Hobson
    Add a docs page for Dask & Parquet (GH#8899) Jim Crist-Harif
    Adds configuration to ignore revs in blame (GH#8933) Bryan Weber

2022.04.1
Released on April 15, 2022
New Features
    Add missing NumPy ufuncs: abs, left_shift, right_shift, positive. (GH#8920) Tom White
Enhancements
    Avoid collecting parquet metadata in pyarrow when write_metadata_file=False (GH#8906) Richard (Rick) Zamora
    Better error for failed wildcard path in dd.read_csv() (fixes #8878) (GH#8908) Roger Filmyer
    Return da.Array rather than dd.Series for non-ufunc elementwise functions on dd.Series (GH#8558) Julia Signell
    Let get_dummies use meta computation in map_partitions (GH#8898) Julia Signell
    Masked scalars input to da.from_array (GH#8895) David Hassell
    Raise ValueError in merge_asof for duplicate kwargs (GH#8861) Bryan Weber
Bug Fixes
    Make is_monotonic work when some partitions are empty (GH#8897) Julia Signell
    Fix custom getter in da.from_array when inline_array=False (GH#8903) Ian Rose
    Correctly handle dict-specification for rechunk. (GH#8859) Richard
    Fix merge_asof: drop index column if left_on == right_on (GH#8874) Gil Forsyth
Deprecations
    Warn users that engine='auto' will change in future (GH#8907) Jim Crist-Harif
    Remove pyarrow-legacy engine from parquet API (GH#8835) Richard (Rick) Zamora
Documentation
    Add note on missing parameter out for dask.array.dot (GH#8913) Francesco Andreuzzi
    Update DataFrame.query docstring (GH#8890) Pavithra Eswaramoorthy
Maintenance
    Don’t test da.prod on large integer data (GH#8893) Jim Crist-Harif
    Add network marks to tests that fail without an internet connection (GH#8881) Paul Hobson
    Fix gpuCI GHA version (GH#8891) Charles Blackmon-Luca
    xfail/skip some flaky distributed tests (GH#8887) Jim Crist-Harif
    Remove unused (deprecated) code from ArrowDatasetEngine (GH#8885) Richard (Rick) Zamora
    Add mild typing to common utils functions, part 2 (GH#8867) crusaderky
    Documentation of Limitation of sample() (GH#8858) Nadiem Sissouno

To see a diff of this commit:
https://wip.pkgsrc.org/cgi-bin/gitweb.cgi?p=pkgsrc-wip.git;a=commitdiff;h=c5b8d80d9931802e173df5ea2e993b874154dc86

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

diffstat:
 py-dask/Makefile |   6 +-
 py-dask/PLIST    | 248 ++-----------------------------------------------------
 py-dask/distinfo |   6 +-
 3 files changed, 15 insertions(+), 245 deletions(-)

diffs:
diff --git a/py-dask/Makefile b/py-dask/Makefile
index 30262c42a9..a3d0324756 100644
--- a/py-dask/Makefile
+++ b/py-dask/Makefile
@@ -1,6 +1,6 @@
 # $NetBSD$
 
-GITHUB_TAG=	2022.04.0
+GITHUB_TAG=	2022.05.0
 DISTNAME=	dask-${GITHUB_TAG}
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
 GITHUB_PROJECT=	dask
@@ -8,7 +8,7 @@ CATEGORIES=	math python
 MASTER_SITES=	${MASTER_SITE_GITHUB:=dask/}
 
 
-MAINTAINER=	matthewda%fastmail.us@localhost
+MAINTAINER=	matthewd%fastmail.us@localhost
 HOMEPAGE=	https://github.com/dask/dask/
 COMMENT=	Flexible parallel computing library for analytics
 LICENSE=	modified-bsd
@@ -39,6 +39,6 @@ do-test:
 
 USE_LANGUAGES=	# none
 
-.include "../../lang/python/egg.mk"
+.include "../../lang/python/wheel.mk"
 .include "../../math/py-numpy/buildlink3.mk"
 .include "../../mk/bsd.pkg.mk"
diff --git a/py-dask/PLIST b/py-dask/PLIST
index 80aac8fb25..473b638cc9 100644
--- a/py-dask/PLIST
+++ b/py-dask/PLIST
@@ -1,705 +1,477 @@
 @comment $NetBSD$
-${PYSITELIB}/dask-2022.4.0-py${PYVERSSUFFIX}.egg-info/PKG-INFO
-${PYSITELIB}/dask-2022.4.0-py${PYVERSSUFFIX}.egg-info/SOURCES.txt
-${PYSITELIB}/dask-2022.4.0-py${PYVERSSUFFIX}.egg-info/dependency_links.txt
-${PYSITELIB}/dask-2022.4.0-py${PYVERSSUFFIX}.egg-info/not-zip-safe
-${PYSITELIB}/dask-2022.4.0-py${PYVERSSUFFIX}.egg-info/requires.txt
-${PYSITELIB}/dask-2022.4.0-py${PYVERSSUFFIX}.egg-info/top_level.txt
+${PYSITELIB}/dask-2022.5.0.dist-info/INSTALLER
+${PYSITELIB}/dask-2022.5.0.dist-info/LICENSE.txt
+${PYSITELIB}/dask-2022.5.0.dist-info/METADATA
+${PYSITELIB}/dask-2022.5.0.dist-info/RECORD
+${PYSITELIB}/dask-2022.5.0.dist-info/REQUESTED
+${PYSITELIB}/dask-2022.5.0.dist-info/WHEEL
+${PYSITELIB}/dask-2022.5.0.dist-info/direct_url.json
+${PYSITELIB}/dask-2022.5.0.dist-info/top_level.txt
 ${PYSITELIB}/dask/__init__.py
 ${PYSITELIB}/dask/__init__.pyc
-${PYSITELIB}/dask/__init__.pyo
 ${PYSITELIB}/dask/_version.py
 ${PYSITELIB}/dask/_version.pyc
-${PYSITELIB}/dask/_version.pyo
 ${PYSITELIB}/dask/array/__init__.py
 ${PYSITELIB}/dask/array/__init__.pyc
-${PYSITELIB}/dask/array/__init__.pyo
 ${PYSITELIB}/dask/array/backends.py
 ${PYSITELIB}/dask/array/backends.pyc
-${PYSITELIB}/dask/array/backends.pyo
 ${PYSITELIB}/dask/array/blockwise.py
 ${PYSITELIB}/dask/array/blockwise.pyc
-${PYSITELIB}/dask/array/blockwise.pyo
 ${PYSITELIB}/dask/array/chunk.py
 ${PYSITELIB}/dask/array/chunk.pyc
-${PYSITELIB}/dask/array/chunk.pyo
 ${PYSITELIB}/dask/array/chunk_types.py
 ${PYSITELIB}/dask/array/chunk_types.pyc
-${PYSITELIB}/dask/array/chunk_types.pyo
 ${PYSITELIB}/dask/array/core.py
 ${PYSITELIB}/dask/array/core.pyc
-${PYSITELIB}/dask/array/core.pyo
 ${PYSITELIB}/dask/array/creation.py
 ${PYSITELIB}/dask/array/creation.pyc
-${PYSITELIB}/dask/array/creation.pyo
 ${PYSITELIB}/dask/array/dispatch.py
 ${PYSITELIB}/dask/array/dispatch.pyc
-${PYSITELIB}/dask/array/dispatch.pyo
 ${PYSITELIB}/dask/array/einsumfuncs.py
 ${PYSITELIB}/dask/array/einsumfuncs.pyc
-${PYSITELIB}/dask/array/einsumfuncs.pyo
 ${PYSITELIB}/dask/array/fft.py
 ${PYSITELIB}/dask/array/fft.pyc
-${PYSITELIB}/dask/array/fft.pyo
 ${PYSITELIB}/dask/array/gufunc.py
 ${PYSITELIB}/dask/array/gufunc.pyc
-${PYSITELIB}/dask/array/gufunc.pyo
 ${PYSITELIB}/dask/array/image.py
 ${PYSITELIB}/dask/array/image.pyc
-${PYSITELIB}/dask/array/image.pyo
 ${PYSITELIB}/dask/array/lib/__init__.py
 ${PYSITELIB}/dask/array/lib/__init__.pyc
-${PYSITELIB}/dask/array/lib/__init__.pyo
 ${PYSITELIB}/dask/array/lib/stride_tricks.py
 ${PYSITELIB}/dask/array/lib/stride_tricks.pyc
-${PYSITELIB}/dask/array/lib/stride_tricks.pyo
 ${PYSITELIB}/dask/array/linalg.py
 ${PYSITELIB}/dask/array/linalg.pyc
-${PYSITELIB}/dask/array/linalg.pyo
 ${PYSITELIB}/dask/array/ma.py
 ${PYSITELIB}/dask/array/ma.pyc
-${PYSITELIB}/dask/array/ma.pyo
 ${PYSITELIB}/dask/array/numpy_compat.py
 ${PYSITELIB}/dask/array/numpy_compat.pyc
-${PYSITELIB}/dask/array/numpy_compat.pyo
 ${PYSITELIB}/dask/array/optimization.py
 ${PYSITELIB}/dask/array/optimization.pyc
-${PYSITELIB}/dask/array/optimization.pyo
 ${PYSITELIB}/dask/array/overlap.py
 ${PYSITELIB}/dask/array/overlap.pyc
-${PYSITELIB}/dask/array/overlap.pyo
 ${PYSITELIB}/dask/array/percentile.py
 ${PYSITELIB}/dask/array/percentile.pyc
-${PYSITELIB}/dask/array/percentile.pyo
 ${PYSITELIB}/dask/array/random.py
 ${PYSITELIB}/dask/array/random.pyc
-${PYSITELIB}/dask/array/random.pyo
 ${PYSITELIB}/dask/array/rechunk.py
 ${PYSITELIB}/dask/array/rechunk.pyc
-${PYSITELIB}/dask/array/rechunk.pyo
 ${PYSITELIB}/dask/array/reductions.py
 ${PYSITELIB}/dask/array/reductions.pyc
-${PYSITELIB}/dask/array/reductions.pyo
 ${PYSITELIB}/dask/array/reshape.py
 ${PYSITELIB}/dask/array/reshape.pyc
-${PYSITELIB}/dask/array/reshape.pyo
 ${PYSITELIB}/dask/array/routines.py
 ${PYSITELIB}/dask/array/routines.pyc
-${PYSITELIB}/dask/array/routines.pyo
 ${PYSITELIB}/dask/array/slicing.py
 ${PYSITELIB}/dask/array/slicing.pyc
-${PYSITELIB}/dask/array/slicing.pyo
 ${PYSITELIB}/dask/array/stats.py
 ${PYSITELIB}/dask/array/stats.pyc
-${PYSITELIB}/dask/array/stats.pyo
 ${PYSITELIB}/dask/array/svg.py
 ${PYSITELIB}/dask/array/svg.pyc
-${PYSITELIB}/dask/array/svg.pyo
 ${PYSITELIB}/dask/array/tests/__init__.py
 ${PYSITELIB}/dask/array/tests/__init__.pyc
-${PYSITELIB}/dask/array/tests/__init__.pyo
 ${PYSITELIB}/dask/array/tests/test_array_core.py
 ${PYSITELIB}/dask/array/tests/test_array_core.pyc
-${PYSITELIB}/dask/array/tests/test_array_core.pyo
 ${PYSITELIB}/dask/array/tests/test_array_function.py
 ${PYSITELIB}/dask/array/tests/test_array_function.pyc
-${PYSITELIB}/dask/array/tests/test_array_function.pyo
 ${PYSITELIB}/dask/array/tests/test_array_utils.py
 ${PYSITELIB}/dask/array/tests/test_array_utils.pyc
-${PYSITELIB}/dask/array/tests/test_array_utils.pyo
 ${PYSITELIB}/dask/array/tests/test_atop.py
 ${PYSITELIB}/dask/array/tests/test_atop.pyc
-${PYSITELIB}/dask/array/tests/test_atop.pyo
 ${PYSITELIB}/dask/array/tests/test_chunk.py
 ${PYSITELIB}/dask/array/tests/test_chunk.pyc
-${PYSITELIB}/dask/array/tests/test_chunk.pyo
 ${PYSITELIB}/dask/array/tests/test_creation.py
 ${PYSITELIB}/dask/array/tests/test_creation.pyc
-${PYSITELIB}/dask/array/tests/test_creation.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_core.py
 ${PYSITELIB}/dask/array/tests/test_cupy_core.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_core.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_creation.py
 ${PYSITELIB}/dask/array/tests/test_cupy_creation.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_creation.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_gufunc.py
 ${PYSITELIB}/dask/array/tests/test_cupy_gufunc.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_gufunc.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_linalg.py
 ${PYSITELIB}/dask/array/tests/test_cupy_linalg.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_linalg.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_overlap.py
 ${PYSITELIB}/dask/array/tests/test_cupy_overlap.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_overlap.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_percentile.py
 ${PYSITELIB}/dask/array/tests/test_cupy_percentile.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_percentile.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_random.py
 ${PYSITELIB}/dask/array/tests/test_cupy_random.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_random.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_reductions.py
 ${PYSITELIB}/dask/array/tests/test_cupy_reductions.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_reductions.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_routines.py
 ${PYSITELIB}/dask/array/tests/test_cupy_routines.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_routines.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_slicing.py
 ${PYSITELIB}/dask/array/tests/test_cupy_slicing.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_slicing.pyo
 ${PYSITELIB}/dask/array/tests/test_cupy_sparse.py
 ${PYSITELIB}/dask/array/tests/test_cupy_sparse.pyc
-${PYSITELIB}/dask/array/tests/test_cupy_sparse.pyo
 ${PYSITELIB}/dask/array/tests/test_dispatch.py
 ${PYSITELIB}/dask/array/tests/test_dispatch.pyc
-${PYSITELIB}/dask/array/tests/test_dispatch.pyo
 ${PYSITELIB}/dask/array/tests/test_fft.py
 ${PYSITELIB}/dask/array/tests/test_fft.pyc
-${PYSITELIB}/dask/array/tests/test_fft.pyo
 ${PYSITELIB}/dask/array/tests/test_gufunc.py
 ${PYSITELIB}/dask/array/tests/test_gufunc.pyc
-${PYSITELIB}/dask/array/tests/test_gufunc.pyo
 ${PYSITELIB}/dask/array/tests/test_image.py
 ${PYSITELIB}/dask/array/tests/test_image.pyc
-${PYSITELIB}/dask/array/tests/test_image.pyo
 ${PYSITELIB}/dask/array/tests/test_linalg.py
 ${PYSITELIB}/dask/array/tests/test_linalg.pyc
-${PYSITELIB}/dask/array/tests/test_linalg.pyo
 ${PYSITELIB}/dask/array/tests/test_masked.py
 ${PYSITELIB}/dask/array/tests/test_masked.pyc
-${PYSITELIB}/dask/array/tests/test_masked.pyo
 ${PYSITELIB}/dask/array/tests/test_numpy_compat.py
 ${PYSITELIB}/dask/array/tests/test_numpy_compat.pyc
-${PYSITELIB}/dask/array/tests/test_numpy_compat.pyo
 ${PYSITELIB}/dask/array/tests/test_optimization.py
 ${PYSITELIB}/dask/array/tests/test_optimization.pyc
-${PYSITELIB}/dask/array/tests/test_optimization.pyo
 ${PYSITELIB}/dask/array/tests/test_overlap.py
 ${PYSITELIB}/dask/array/tests/test_overlap.pyc
-${PYSITELIB}/dask/array/tests/test_overlap.pyo
 ${PYSITELIB}/dask/array/tests/test_percentiles.py
 ${PYSITELIB}/dask/array/tests/test_percentiles.pyc
-${PYSITELIB}/dask/array/tests/test_percentiles.pyo
 ${PYSITELIB}/dask/array/tests/test_random.py
 ${PYSITELIB}/dask/array/tests/test_random.pyc
-${PYSITELIB}/dask/array/tests/test_random.pyo
 ${PYSITELIB}/dask/array/tests/test_rechunk.py
 ${PYSITELIB}/dask/array/tests/test_rechunk.pyc
-${PYSITELIB}/dask/array/tests/test_rechunk.pyo
 ${PYSITELIB}/dask/array/tests/test_reductions.py
 ${PYSITELIB}/dask/array/tests/test_reductions.pyc
-${PYSITELIB}/dask/array/tests/test_reductions.pyo
 ${PYSITELIB}/dask/array/tests/test_reshape.py
 ${PYSITELIB}/dask/array/tests/test_reshape.pyc
-${PYSITELIB}/dask/array/tests/test_reshape.pyo
 ${PYSITELIB}/dask/array/tests/test_routines.py
 ${PYSITELIB}/dask/array/tests/test_routines.pyc
-${PYSITELIB}/dask/array/tests/test_routines.pyo
 ${PYSITELIB}/dask/array/tests/test_slicing.py
 ${PYSITELIB}/dask/array/tests/test_slicing.pyc
-${PYSITELIB}/dask/array/tests/test_slicing.pyo
 ${PYSITELIB}/dask/array/tests/test_sparse.py
 ${PYSITELIB}/dask/array/tests/test_sparse.pyc
-${PYSITELIB}/dask/array/tests/test_sparse.pyo
 ${PYSITELIB}/dask/array/tests/test_stats.py
 ${PYSITELIB}/dask/array/tests/test_stats.pyc
-${PYSITELIB}/dask/array/tests/test_stats.pyo
 ${PYSITELIB}/dask/array/tests/test_svg.py
 ${PYSITELIB}/dask/array/tests/test_svg.pyc
-${PYSITELIB}/dask/array/tests/test_svg.pyo
 ${PYSITELIB}/dask/array/tests/test_testing.py
 ${PYSITELIB}/dask/array/tests/test_testing.pyc
-${PYSITELIB}/dask/array/tests/test_testing.pyo
 ${PYSITELIB}/dask/array/tests/test_ufunc.py
 ${PYSITELIB}/dask/array/tests/test_ufunc.pyc
-${PYSITELIB}/dask/array/tests/test_ufunc.pyo
 ${PYSITELIB}/dask/array/tests/test_wrap.py
 ${PYSITELIB}/dask/array/tests/test_wrap.pyc
-${PYSITELIB}/dask/array/tests/test_wrap.pyo
 ${PYSITELIB}/dask/array/tests/test_xarray.py
 ${PYSITELIB}/dask/array/tests/test_xarray.pyc
-${PYSITELIB}/dask/array/tests/test_xarray.pyo
 ${PYSITELIB}/dask/array/tiledb_io.py
 ${PYSITELIB}/dask/array/tiledb_io.pyc
-${PYSITELIB}/dask/array/tiledb_io.pyo
 ${PYSITELIB}/dask/array/ufunc.py
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-${PYSITELIB}/dask/array/ufunc.pyo
 ${PYSITELIB}/dask/array/utils.py
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-${PYSITELIB}/dask/array/utils.pyo
 ${PYSITELIB}/dask/array/wrap.py
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-${PYSITELIB}/dask/array/wrap.pyo
 ${PYSITELIB}/dask/bag/__init__.py
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-${PYSITELIB}/dask/bag/__init__.pyo
 ${PYSITELIB}/dask/bag/avro.py
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-${PYSITELIB}/dask/bag/avro.pyo
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-${PYSITELIB}/dask/tests/test_context.pyo
 ${PYSITELIB}/dask/tests/test_core.py
 ${PYSITELIB}/dask/tests/test_core.pyc
-${PYSITELIB}/dask/tests/test_core.pyo
 ${PYSITELIB}/dask/tests/test_datasets.py
 ${PYSITELIB}/dask/tests/test_datasets.pyc
-${PYSITELIB}/dask/tests/test_datasets.pyo
 ${PYSITELIB}/dask/tests/test_delayed.py
 ${PYSITELIB}/dask/tests/test_delayed.pyc
-${PYSITELIB}/dask/tests/test_delayed.pyo
 ${PYSITELIB}/dask/tests/test_distributed.py
 ${PYSITELIB}/dask/tests/test_distributed.pyc
-${PYSITELIB}/dask/tests/test_distributed.pyo
 ${PYSITELIB}/dask/tests/test_docs.py
 ${PYSITELIB}/dask/tests/test_docs.pyc
-${PYSITELIB}/dask/tests/test_docs.pyo
 ${PYSITELIB}/dask/tests/test_dot.py
 ${PYSITELIB}/dask/tests/test_dot.pyc
-${PYSITELIB}/dask/tests/test_dot.pyo
 ${PYSITELIB}/dask/tests/test_graph_manipulation.py
 ${PYSITELIB}/dask/tests/test_graph_manipulation.pyc
-${PYSITELIB}/dask/tests/test_graph_manipulation.pyo
 ${PYSITELIB}/dask/tests/test_hashing.py
 ${PYSITELIB}/dask/tests/test_hashing.pyc
-${PYSITELIB}/dask/tests/test_hashing.pyo
 ${PYSITELIB}/dask/tests/test_highgraph.py
 ${PYSITELIB}/dask/tests/test_highgraph.pyc
-${PYSITELIB}/dask/tests/test_highgraph.pyo
 ${PYSITELIB}/dask/tests/test_layers.py
 ${PYSITELIB}/dask/tests/test_layers.pyc
-${PYSITELIB}/dask/tests/test_layers.pyo
 ${PYSITELIB}/dask/tests/test_local.py
 ${PYSITELIB}/dask/tests/test_local.pyc
-${PYSITELIB}/dask/tests/test_local.pyo
 ${PYSITELIB}/dask/tests/test_ml.py
 ${PYSITELIB}/dask/tests/test_ml.pyc
-${PYSITELIB}/dask/tests/test_ml.pyo
 ${PYSITELIB}/dask/tests/test_multiprocessing.py
 ${PYSITELIB}/dask/tests/test_multiprocessing.pyc
-${PYSITELIB}/dask/tests/test_multiprocessing.pyo
 ${PYSITELIB}/dask/tests/test_optimization.py
 ${PYSITELIB}/dask/tests/test_optimization.pyc
-${PYSITELIB}/dask/tests/test_optimization.pyo
 ${PYSITELIB}/dask/tests/test_order.py
 ${PYSITELIB}/dask/tests/test_order.pyc
-${PYSITELIB}/dask/tests/test_order.pyo
 ${PYSITELIB}/dask/tests/test_rewrite.py
 ${PYSITELIB}/dask/tests/test_rewrite.pyc
-${PYSITELIB}/dask/tests/test_rewrite.pyo
 ${PYSITELIB}/dask/tests/test_sizeof.py
 ${PYSITELIB}/dask/tests/test_sizeof.pyc
-${PYSITELIB}/dask/tests/test_sizeof.pyo
 ${PYSITELIB}/dask/tests/test_system.py
 ${PYSITELIB}/dask/tests/test_system.pyc
-${PYSITELIB}/dask/tests/test_system.pyo
 ${PYSITELIB}/dask/tests/test_threaded.py
 ${PYSITELIB}/dask/tests/test_threaded.pyc
-${PYSITELIB}/dask/tests/test_threaded.pyo
 ${PYSITELIB}/dask/tests/test_utils.py
 ${PYSITELIB}/dask/tests/test_utils.pyc
-${PYSITELIB}/dask/tests/test_utils.pyo
 ${PYSITELIB}/dask/tests/test_utils_test.py
 ${PYSITELIB}/dask/tests/test_utils_test.pyc
-${PYSITELIB}/dask/tests/test_utils_test.pyo
 ${PYSITELIB}/dask/threaded.py
 ${PYSITELIB}/dask/threaded.pyc
-${PYSITELIB}/dask/threaded.pyo
 ${PYSITELIB}/dask/utils.py
 ${PYSITELIB}/dask/utils.pyc
-${PYSITELIB}/dask/utils.pyo
 ${PYSITELIB}/dask/utils_test.py
 ${PYSITELIB}/dask/utils_test.pyc
-${PYSITELIB}/dask/utils_test.pyo
 ${PYSITELIB}/dask/widgets/__init__.py
 ${PYSITELIB}/dask/widgets/__init__.pyc
-${PYSITELIB}/dask/widgets/__init__.pyo
 ${PYSITELIB}/dask/widgets/templates/array.html.j2
 ${PYSITELIB}/dask/widgets/templates/dataframe.html.j2
 ${PYSITELIB}/dask/widgets/templates/highlevelgraph.html.j2
@@ -709,7 +481,5 @@ ${PYSITELIB}/dask/widgets/tests/templates/custom_filter.html.j2
 ${PYSITELIB}/dask/widgets/tests/templates/example.html.j2
 ${PYSITELIB}/dask/widgets/tests/test_widgets.py
 ${PYSITELIB}/dask/widgets/tests/test_widgets.pyc
-${PYSITELIB}/dask/widgets/tests/test_widgets.pyo
 ${PYSITELIB}/dask/widgets/widgets.py
 ${PYSITELIB}/dask/widgets/widgets.pyc
-${PYSITELIB}/dask/widgets/widgets.pyo
diff --git a/py-dask/distinfo b/py-dask/distinfo
index ea6a428c48..6c10819315 100644
--- a/py-dask/distinfo
+++ b/py-dask/distinfo
@@ -1,5 +1,5 @@
 $NetBSD$
 
-BLAKE2s (dask-2022.04.0.tar.gz) = e4026c3ff93d876a5943e5f1ff516a130d2b36aa32345d12eca9b7dccb5e0bf2
-SHA512 (dask-2022.04.0.tar.gz) = 2abc10a1140ad81a5f6bdc7ff697b899a5410da6dff976c98fb30d32fff625078ebf5ed23b2317c94d293973040b05bf650c02aef2b8c18230bf2841e54c71fa
-Size (dask-2022.04.0.tar.gz) = 8649475 bytes
+BLAKE2s (dask-2022.05.0.tar.gz) = 1e85168e81b9727daed8b85e05a394a8b4ba81ff2c100a9af46f8d2191731483
+SHA512 (dask-2022.05.0.tar.gz) = 15605321143f354ffb9c890823f5751131d942cc16c523b2d00bdcc752ddc5243525f7cda138091604c8f2f9c5b4a309b1efc95f483b753673df98cc8a81ce81
+Size (dask-2022.05.0.tar.gz) = 8658529 bytes



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