Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through our open source R&D automation tool RD-Agent, which lets AI drive data-driven AI.
SciPy 1.14.0 is the culmination of 3 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
1.14.x branch, and on adding new features on the main branch.
This release requires Python 3.10+ and NumPy 1.23.5 or greater.
For running on PyPy, PyPy3 6.0+ is required.
Highlights of this release
SciPy now supports the new Accelerate library introduced in macOS 13.3, and
has wheels built against Accelerate for macOS >=14 resulting in significant
performance improvements for many linear algebra operations.
A new method, cobyqa, has been added to scipy.optimize.minimize - this
is an interface for COBYQA (Constrained Optimization BY Quadratic
Approximations), a derivative-free optimization solver, designed to
supersede COBYLA, developed by the Department of Applied Mathematics, The
Hong Kong Polytechnic University.
scipy.sparse.linalg.spsolve_triangular is now more than an order of
magnitude faster in many cases.
New features
scipy.fft improvements
A new function, scipy.fft.prev_fast_len, has been added. This function
finds the largest composite of FFT radices that is less than the target
length. It is useful for discarding a minimal number of samples before FFT.
scipy.io improvements
wavfile now supports reading and writing of wav files in the RF64
format, allowing files greater than 4 GB in size to be handled.
scipy.constants improvements
Experimental support for the array API standard has been added.
PyTorch 2.4: Python 3.12, AOTInductor freezing, libuv backend for TCPStore
PyTorch 2.4 Release Notes
Highlights
Tracked Regressions
Backward incompatible changes
Deprecations
New features
Improvements
Bug Fixes
Performance
Documentation
Developers
Security
Highlights
We are excited to announce the release of PyTorch® 2.4!
PyTorch 2.4 adds support for the latest version of Python (3.12) for torch.compile.
AOTInductor freezing gives developers running AOTInductor more performance based optimizations by allowing the
serialization of MKLDNN weights. As well, a new default TCPStore server backend utilizing libuv has been introduced
which should significantly reduce initialization times for users running large-scale jobs.
Finally, a new Python Custom Operator API makes it easier than before to integrate custom kernels
into PyTorch, especially for torch.compile.
This release is composed of 3661 commits and 475 contributors since PyTorch 2.3. We want to sincerely thank our
dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we
improve 2.4. More information about how to get started with the PyTorch 2-series can be found at our
Getting Started page.
... (truncated)
Commits
d990dad [CMAKE] Look for Development.Module instead of Development (#129729)
e4ee3be [Release only] use triton 3.0.x from pypi (#130336)
9afe4ec Update torchbench model expected accuracy values after pinning numpy (#129986)
NumPy 2.1.0 provides support for the upcoming Python 3.13 release and
drops support for Python 3.9. In addition to the usual bug fixes and
updated Python support, it helps get us back into our usual release
cycle after the extended development of 2.0. The highlights for this
release are:
Support for the array-api 2023.12 standard.
Support for Python 3.13.
Preliminary support for free threaded Python 3.13.
Python versions 3.10-3.13 are supported in this release.
New functions
New function numpy.unstack
A new function np.unstack(array, axis=...) was added, which splits an
array into a tuple of arrays along an axis. It serves as the inverse of
[numpy.stack]{.title-ref}.
The fix_imports keyword argument in numpy.save is deprecated.
Since NumPy 1.17, numpy.save uses a pickle protocol that no longer
supports Python 2, and ignored fix_imports keyword. This keyword
is kept only for backward compatibility. It is now deprecated.
Passing non-integer inputs as the first argument of
[bincount]{.title-ref} is now deprecated, because such inputs are
silently cast to integers with no warning about loss of precision.
We are pleased to announce the release of pandas 2.2.2.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.
See the full whatsnew for a list of all the changes.
Pandas 2.2.2 supports Python 3.9 and higher.
The release will be available on the defaults and conda-forge channels:
Thanks to all the contributors who made this release possible.
Pandas 2.2.1
We are pleased to announce the release of pandas 2.2.1.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.
See the full whatsnew for a list of all the changes.
Pandas 2.2.1 supports Python 3.9 and higher.
The release will be available on the defaults and conda-forge channels:
Thanks to all the contributors who made this release possible.
Pandas 2.2.0
We are pleased to announce the release of pandas 2.2.0.
This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.
See the full whatsnew for a list of all the changes.
Pandas 2.2.0 supports Python 3.9 and higher.
The release will be available on the defaults and conda-forge channels:
Bumps the prod group with 120 updates in the / directory:
2.1.02.4.03.0.73.0.111.11.41.14.03.13.13.15.40.5.00.6.01.6.11.41.00.18.50.18.62.1.22.4.01.26.22.1.02.1.42.2.23.9.13.9.20.0.3530.2.143.17.44.3.11.29.61.30.23.3.23.3.33.9.23.10.11.0.01.0.11.0.31.2.18.0.48.1.04.0.25.1.17.4.07.6.17.4.48.3.223.12.124.8.01.10.01.11.10.4.50.6.16.0.12.202407246.0.12.202408082.0.12.2.02023.9.102024.8.62.4.02.5.22.0.04.0.07.2.68.0.22021.3.142024.4.165.1.06.0.07.0.18.2.03.9.13.10.40.7.131.0.00.6.00.7.04.2.04.4.023.2.024.2.02.14.02.16.04.12.24.12.32023.11.172024.7.41.16.01.17.041.0.743.0.00.6.30.6.71.8.21.8.50.20.10.21.22023.12.22024.6.11.0.21.0.50.26.00.27.03.63.73.3.03.4.03.1.23.1.42.43.0.024.3.025.3.00.0.70.2.120.1.40.2.330.0.750.1.992.6.32.7.05.0.05.3.02.1.32.1.53.20.13.21.30.4.00.4.110.1.010.4.06.0.46.0.53.2.13.30.2.150.2.1812.1.3.112.6.0.2212.1.10512.6.3712.1.10512.6.2012.1.10512.6.378.9.2.269.3.0.7511.0.2.5411.2.6.2810.3.2.10610.3.7.3711.4.5.10711.6.4.3812.1.0.10612.5.2.232.18.12.22.312.3.10112.6.2012.1.10512.6.3723.224.11.9.61.11.14.1.04.2.21.3.01.5.02.212.222.5.32.8.22.14.62.22.02.17.22.18.02.8.02.9.01.0.01.1.02.8.22.9.0.post02023.3.post12024.16.0.16.0.226.0.326.1.03.9.53.9.642.044.02.31.02.32.31.3.12.0.013.7.013.7.10.19.10.20.01.3.01.3.12.52.61.0.72.0.01.0.52.0.02.0.42.1.01.0.62.0.01.1.92.0.02.0.242.0.321.121.13.28.2.39.0.00.12.30.13.26.46.4.14.66.14.66.52.1.03.0.00.9.00.12.44.9.04.12.22023.42024.12.1.02.2.224.6.024.8.03.17.03.20.01.2.01.2.2Updates
pydantic-settingsfrom 2.1.0 to 2.4.0Release notes
Sourced from pydantic-settings's releases.
... (truncated)
Commits
5cc686aPrepare release 2.4.0 (#355)4840d69Add cli_exit_on_error config option (#340)bcbdd2aAdd Azure Key Vault settings source (#272)6ffd6bdAdd support for short options. (#339)8b8803dfeat: Enable access to the current state in settings sources (#326)229319cFix a bug when loading empty yaml file (#330)d6db0f9Deprecateread_env_fileand move it toDotEnvSettingsSource(#318)fa17c0aFix regex flags accidentally passed as count (#328)fe1f950Prepare release 2.3.4 (#322)674ebd9Remove leftover docstring causing warning onpydanticdocs build (#321)Updates
cythonfrom 3.0.7 to 3.0.11Changelog
Sourced from cython's changelog.
... (truncated)
Commits
bb4180aBuild: Make Python wheel also on regular push.cde2a8dFix test in Py2.0fb0f58Prepare release of 3.0.11.5170f66Update changelog.0dfcb70Add c++11 emplace functions to deque.pxd (#6159)6d71295Mark libcpp.optional.value as except + (#6190)54dc847Fix typo.0dfbd31Fix segfault on zero-length slice assignment on memoryview (GH-6230)3984b76Test runner: Make thread-ID printing work in Py2.7.ad71a9cUpdate changelog.Updates
scipyfrom 1.11.4 to 1.14.0Release notes
Sourced from scipy's releases.
... (truncated)
Commits
87c4664REL: SciPy 1.14.0 rel commit [wheel build]ac63c81Merge pull request #21019 from tylerjereddy/treddy_1.14.0_final_backports541003fDOC: update 1.14 relnotes [wheel build]a08d1ffMAINT: stats.gstd: warn when an observation is <= 0a4f7119DEP: special.perm: deprecate non-integerNandkwithexact=True(#20909)73339fbTST: stats: fix use of np.testing to compare xp-arrays0542df6DOC: Update 1.14.0 release notesf8e530cSTY: _lib._util: silence mypye2cbda2TST:sparse.linalg: Skip test due to sensitivity to numerical noise4fb2e6aTST: robustify test_nnls_inner_loop_case1Updates
filelockfrom 3.13.1 to 3.15.4Release notes
Sourced from filelock's releases.
... (truncated)
Commits
9a979dfPass file_lock as positional argument (#347)3a79343Fix `TypeError: _CountedFileLock.init() got an unexpected keyword argumen...81d4cf9Add test for virtualenv stability (#344)192f1efUse a metaclass to implement the singleton pattern (#340)48788c5Bump pypa/gh-action-pypi-publish from 1.8.14 to 1.9.0 (#341)7bd3b7b[pre-commit.ci] pre-commit autoupdate (#342)3d7b1a6Hotfix: Restore init method; more robust initialization for singleton loc...c64787fDon't initialize BaseFileLock when just returning existing instance (#334)87453f3asyncio support (#332)0ee2e3c[pre-commit.ci] pre-commit autoupdate (#333)Updates
firefrom 0.5.0 to 0.6.0Release notes
Sourced from fire's releases.
Commits
343e6b6Add Python 3.11 and Python 3.12 to build workflow (#485)8a41c91Update formatting_windows.py (#477)ffb8121Update build.yml dropping Python 2.7 (#479)1d8a137remove asyncio.coroutine (#440)d44d33dFix missing$sign in bash completion (#472)1bcb5d1Add missing parameter description (#462)6e485c9Split too long line, fixing lint #437527e3d0Fix typos in console and tests (#436)71743b6docs: fix brand nameGithub->GitHub(#425)c29b923adding python 3.10 [tag & CI] (#428)Updates
openaifrom 1.6.1 to 1.41.0Release notes
Sourced from openai's releases.
... (truncated)
Changelog
Sourced from openai's changelog.
... (truncated)
Commits
798c6cbrelease: 1.41.03bbb271feat(client): add uploads.upload_file helperb143c16release: 1.40.805f0132chore(types): define FilePurpose enum (#1653)3bf03f2release: 1.40.7cd8c3a3chore(internal): use different 32bit detection method (#1652)c58a0a4chore(docs): fix typo in example snippet64b8595fix(cli/migrate): change grit binaries download source (#1649)40f4cdbrelease: 1.40.63267735chore: sync openapi url (#1646)Updates
ruamel-yamlfrom 0.18.5 to 0.18.6Updates
torchfrom 2.1.2 to 2.4.0Release notes
Sourced from torch's releases.
... (truncated)
Commits
d990dad[CMAKE] Look forDevelopment.Moduleinstead ofDevelopment(#129729)e4ee3be[Release only] use triton 3.0.x from pypi (#130336)9afe4ecUpdate torchbench model expected accuracy values after pinning numpy (#129986)499621e[CherryPick][FSDP2+TP] Disable 2D state_dict (#129519) (#129923)e5bda62[CherryPick][DCP] Fix Optimizer Learning Rate not being loaded correctly (#12...705e3aeImprove error message for weights_only load (#129783)b26cde4[Windows] remove mkl shared library dependency. (#129740)12ad767[distributed] NCCL result code update (#129704)1164d3cAdd threadfence to 2-stage reduction for correct writes visibility (#129701)9533637Inductor to fail gracefully on Voltas for bf16 tensors (#129699)Updates
numpyfrom 1.26.2 to 2.1.0Release notes
Sourced from numpy's releases.
... (truncated)
Commits
2f7fe64Merge pull request #27236 from charris/prepare-2.1.0b6f434fREL: Prepare for the NumPy 2.1.0 release [wheel build]3cf9394Merge pull request #27234 from charris/backport-259847443dccMerge pull request #27233 from charris/backport-2722385b1cabBUG: Allow fitting of degree zero polynomials with Polynomial.fit395a81dDOC: reword discussion about shared arrays to hopefully be clearer5af2e96Move NUMUSERTYPES thread safety discussion to legacy DType API docsd902c24DOC: add docs on thread safety in NumPyc080180Merge pull request #27229 from charris/backport-2722644ce7e8BUG: FixPyArray_ZeroContiguousBuffer(resize) with struct dtypesUpdates
pandasfrom 2.1.4 to 2.2.2Release notes
Sourced from pandas's releases.
... (truncated)
Commits
d9cdd2eRLS: 2.2.298aeac9Backport PR #58209: CI: Pin blosc to fix pytables (#58211)5466f15Backport PR #58202: DOC/TST: Document numpy 2.0 support and add tests… (#58208)45b0b32Backport PR #58203 on branch 2.2.x (DOC: Add release date/contributors for 2....c7ec566Backport PR #58087 on branch 2.2.x (BLD: Build wheels using numpy 2.0rc1) (#5...691fc88Backport PR #58181 on branch 2.2.x (CI: correct error msg in test_view_index)...a947587Backport PR #58138 on branch 2.2.x (BLD: Fix nightlies not building) (#58140)b56842dBackport PR #58100 on branch 2.2.x (MNT: fix compatibility with beautifulsoup...0f83d50Revert "BLD: Pin numpy on 2.2.x" (Looks like these dependencies are updatable in another way, so this is no longer needed.