NumPy 1.22.0 is a big release featuring the work of 153 contributors
spread over 609 pull requests. There have been many improvements,
highlights are:
Annotations of the main namespace are essentially complete. Upstream
is a moving target, so there will likely be further improvements,
but the major work is done. This is probably the most user visible
enhancement in this release.
A preliminary version of the proposed Array-API is provided. This is
a step in creating a standard collection of functions that can be
used across application such as CuPy and JAX.
NumPy now has a DLPack backend. DLPack provides a common interchange
format for array (tensor) data.
New methods for quantile, percentile, and related functions. The
new methods provide a complete set of the methods commonly found in
the literature.
A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for
commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7
has been dropped. Note that 32 bit wheels are only provided for Python
3.8 and 3.9 on Windows, all other wheels are 64 bits on account of
Ubuntu, Fedora, and other Linux distributions dropping 32 bit support.
All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix
the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings "Bytes0", "Datetime64", "Str0", "Uint32",
and "Uint64" as a dtype will now raise a TypeError.
Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio
numpy.loads was deprecated in v1.15, with the recommendation that
users use pickle.loads instead. ndfromtxt and mafromtxt were both
deprecated in v1.17 - users should use numpy.genfromtxt instead with
the appropriate value for the usemask parameter.
SciPy 1.11.1 is a bug-fix release with no new features
compared to 1.11.0. In particular, a licensing issue
discovered after the release of 1.11.0 has been addressed.
Authors
Name (commits)
h-vetinari (1)
Robert Kern (1)
Ilhan Polat (4)
Tyler Reddy (8)
A total of 4 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.
SciPy 1.11.0 Release Notes
SciPy 1.11.0 is the culmination of 6 months of hard work. It contains
many new features, numerous bug-fixes, improved test coverage and better
documentation. There have been a number of deprecations and API changes
in this release, which are documented below. All users are encouraged to
upgrade to this release, as there are a large number of bug-fixes and
optimizations. Before upgrading, we recommend that users check that
their own code does not use deprecated SciPy functionality (to do so,
run your code with python -Wd and check for DeprecationWarning s).
Our development attention will now shift to bug-fix releases on the
1.11.x branch, and on adding new features on the main branch.
This release requires Python 3.9+ and NumPy 1.21.6 or greater.
For running on PyPy, PyPy3 6.0+ is required.
Highlights of this release
Several scipy.sparse array API improvements, including sparse.sparray, a new
public base class distinct from the older sparse.spmatrix class,
proper 64-bit index support, and numerous deprecations paving the way to a
modern sparse array experience.
scipy.stats added tools for survival analysis, multiple hypothesis testing,
sensitivity analysis, and working with censored data.
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Bumps the pip group with 3 updates in the / directory: numpy, pillow and scipy.
Updates
numpy
from 1.19.5 to 1.22.0Release notes
Sourced from numpy's releases.
... (truncated)
Commits
4adc87d
Merge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547
REL: Prepare for the NumPy 1.22.0 release.125304b
wipc283859
Merge pull request #20682 from charris/backport-204165399c03
Merge pull request #20681 from charris/backport-20954f9c45f8
Merge pull request #20680 from charris/backport-20663794b36f
Update armccompiler.pyd93b14e
Update test_public_api.py7662c07
Update init.py311ab52
Update armccompiler.pyUpdates
pillow
from 8.3.2 to 10.3.0Release notes
Sourced from pillow's releases.
... (truncated)
Changelog
Sourced from pillow's changelog.
... (truncated)
Commits
5c89d88
10.3.0 version bump63cbfcf
Update CHANGES.rst [ci skip]2776126
Merge pull request #7928 from python-pillow/lcmsaeb51cb
Merge branch 'main' into lcms5beb0b6
Update CHANGES.rst [ci skip]cac6ffa
Merge pull request #7927 from python-pillow/imagemathf5eeeac
Name as 'options' in lambda_eval and unsafe_eval, but '_dict' in deprecated evalfacf3af
Added release notes2a93aba
Use strncpy to avoid buffer overflowa670597
Update CHANGES.rst [ci skip]Updates
scipy
from 1.7.1 to 1.11.1Release notes
Sourced from scipy's releases.
... (truncated)
Commits
cfe8011
REL: 1.11.1 rel commit [wheel build]450d8aa
Merge pull request #18779 from tylerjereddy/treddy_1_11_1_prep6f942e8
DOC: update 1.11.1 relnotes145cec5
MAINT: fix unuran licensing0760bab
MAINT:linalg.det:Return scalars for singleton inputs (#18763)a1c6f99
MAINT:linalg:Use only NumPy types in lu5cdc2fe
MAINT:linalg:Remove memcpy from lud9ac3f3
FIX:linalg:Guard against possible permute_l out of bound behavior7ec5010
BUG: fix handling forfactorial(..., exact=False)
for 0-dim array inputs (#...90415c6
BUG: Fix work array construction for various weight shapes. (#18741)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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