Skip to content

Conversation

@renovate
Copy link
Contributor

@renovate renovate bot commented Jun 16, 2025

Note: This PR body was truncated due to platform limits.

This PR contains the following updates:

Package Change Age Confidence
backrefs ==5.9 -> ==6.1 age confidence
black (changelog) ==24.10.0 -> ==25.12.0 age confidence
cffi (changelog) ==1.17.1 -> ==2.0.0 age confidence
cryptography (changelog) ==45.0.5 -> ==46.0.3 age confidence
hvac ==1.2.1 -> ==2.4.0 age confidence
markdown-it-py ==3.0.0 -> ==4.0.0 age confidence
numpy (changelog) ==1.26.4 -> ==2.4.0 age confidence
pbr ==6.1.1 -> ==7.0.3 age confidence
pillow (changelog) ==11.3.0 -> ==12.0.0 age confidence
psutil ==6.1.1 -> ==7.2.0 age confidence
pytest (changelog) ==8.4.1 -> ==9.0.2 age confidence
pytest-cov (changelog) ==4.1.0 -> ==7.0.0 age confidence
regex ==2024.11.6 -> ==2025.11.3 age confidence
tenacity ==8.5.0 -> ==9.1.2 age confidence
termcolor (changelog) ==2.3.0 -> ==3.2.0 age confidence

Release Notes

facelessuser/backrefs (backrefs)

v6.1

Compare Source

6.1

  • NEW: Include Unicode 17 zip for early Python 3.15 usage, though Python 3.15 functionality is not guaranteed.
  • FIX: Fix issues with regex imports in later versions.

v6.0.1

Compare Source

6.0.1

  • FIX: Fix a regression that created an ASCII binary property that would override the ASCII block property.

v6.0

Compare Source

6.0

  • NEW: POSIX character classes will now always use POSIX compatibility rules instead of Unicode standard rules,
    if any are specified in the Unicode specification. The affected character classes are: [[:alnum:]], [[:digit:]],
    [[:xdigit:]], and [[:punct:]]. To explicitly use standard Unicode rules for these compatibility properties, use
    the Unicode property form instead: [\p{Alnum}], [\p{Digit}], [\p{Punct}], or [\p{XDigit}]. This has changed
    to ensure no confusion for users expecting compatible POSIX style character class properties.
  • FIX: Scoped ASCII/Unicode flags ((?a:pattern)/(?u:pattern)) should be respected for Unicode properties in
    bre and will ensure ASCII or Unicode range if used.
  • FIX: Fix issues related to detecting disabled scoped flags.
psf/black (black)

v25.12.0

Compare Source

Highlights
  • Black no longer supports running with Python 3.9 (#​4842)
Stable style
  • Fix bug where comments preceding # fmt: off/# fmt: on blocks were incorrectly
    removed, particularly affecting Jupytext's # %% [markdown] comments (#​4845)
  • Fix crash when multiple # fmt: skip comments are used in a multi-part if-clause, on
    string literals, or on dictionary entries with long lines (#​4872)
  • Fix possible crash when fmt: directives aren't on the top level (#​4856)
Preview style
  • Fix fmt: skip skipping the line after instead of the line it's on (#​4855)
  • Remove unnecessary parentheses from the left-hand side of assignments while preserving
    magic trailing commas and intentional multiline formatting (#​4865)
  • Fix fix_fmt_skip_in_one_liners crashing on with statements (#​4853)
  • Fix fix_fmt_skip_in_one_liners crashing on annotated parameters (#​4854)
  • Fix new lines being added after imports with # fmt: skip on them (#​4894)
Packaging
  • Releases now include arm64 Windows binaries and wheels (#​4814)
Integrations
  • Add output-file input to GitHub Action psf/black to write formatter output to a
    file for artifact capture and log cleanliness (#​4824)

v25.11.0

Compare Source

Highlights
  • Enable base 3.14 support (#​4804)
  • Add support for the new Python 3.14 t-string syntax introduced by PEP 750 (#​4805)
Stable style
  • Fix bug where comments between # fmt: off and # fmt: on were reformatted (#​4811)
  • Comments containing fmt directives now preserve their exact formatting instead of
    being normalized (#​4811)
Preview style
  • Move multiline_string_handling from --unstable to --preview (#​4760)
  • Fix bug where module docstrings would be treated as normal strings if preceded by
    comments (#​4764)
  • Fix bug where python 3.12 generics syntax split line happens weirdly (#​4777)
  • Standardize type comments to form # type: <value> (#​4645)
  • Fix fix_fmt_skip_in_one_liners preview feature to respect # fmt: skip for compound
    statements with semicolon-separated bodies (#​4800)
Configuration
  • Add no_cache option to control caching behavior. (#​4803)
Packaging
  • Releases now include arm64 Linux binaries (#​4773)
Output
  • Write unchanged content to stdout when excluding formatting from stdin using pipes
    (#​4610)
Blackd
  • Implemented BlackDClient. This simple python client allows to easily send formatting
    requests to blackd (#​4774)
Integrations
  • Enable 3.14 base CI (#​4804)
  • Enhance GitHub Action psf/black to support the required-version major-version-only
    "stability" format when using pyproject.toml (#​4770)
  • Improve error message for vim plugin users. It now handles independently vim version
  • Vim: Warn on unsupported Vim and Python versions independently (#​4772)
  • Vim: Print the import paths when importing black fails (#​4675)
  • Vim: Fix handling of virtualenvs that have a different Python version (#​4675)

v25.9.0

Compare Source

Highlights
  • Remove support for pre-python 3.7 await/async as soft keywords/variable names
    (#​4676)
Stable style
  • Fix crash while formatting a long del statement containing tuples (#​4628)
  • Fix crash while formatting expressions using the walrus operator in complex with
    statements (#​4630)
  • Handle # fmt: skip followed by a comment at the end of file (#​4635)
  • Fix crash when a tuple appears in the as clause of a with statement (#​4634)
  • Fix crash when tuple is used as a context manager inside a with statement (#​4646)
  • Fix crash when formatting a \ followed by a \r followed by a comment (#​4663)
  • Fix crash on a \\r\n (#​4673)
  • Fix crash on await ... (where ... is a literal Ellipsis) (#​4676)
  • Fix crash on parenthesized expression inside a type parameter bound (#​4684)
  • Fix crash when using line ranges excluding indented single line decorated items
    (#​4670)
Preview style
  • Fix a bug where one-liner functions/conditionals marked with # fmt: skip would still
    be formatted (#​4552)
  • Improve multiline_string_handling with ternaries and dictionaries (#​4657)
  • Fix a bug where string_processing would not split f-strings directly after
    expressions (#​4680)
  • Wrap the in clause of comprehensions across lines if necessary (#​4699)
  • Remove parentheses around multiple exception types in except and except* without
    as. (#​4720)
  • Add \r style newlines to the potential newlines to normalize file newlines both from
    and to (#​4710)
Parser
  • Rewrite tokenizer to improve performance and compliance (#​4536)
  • Fix bug where certain unusual expressions (e.g., lambdas) were not accepted in type
    parameter bounds and defaults. (#​4602)
Performance
  • Avoid using an extra process when running with only one worker (#​4734)
Integrations
  • Fix the version check in the vim file to reject Python 3.8 (#​4567)
  • Enhance GitHub Action psf/black to read Black version from an additional section in
    pyproject.toml: [project.dependency-groups] (#​4606)
  • Build gallery docker image with python3-slim and reduce image size (#​4686)
Documentation
  • Add FAQ entry for windows emoji not displaying (#​4714)

v25.1.0

Compare Source

Highlights

This release introduces the new 2025 stable style (#​4558), stabilizing the following
changes:

  • Normalize casing of Unicode escape characters in strings to lowercase (#​2916)
  • Fix inconsistencies in whether certain strings are detected as docstrings (#​4095)
  • Consistently add trailing commas to typed function parameters (#​4164)
  • Remove redundant parentheses in if guards for case blocks (#​4214)
  • Add parentheses to if clauses in case blocks when the line is too long (#​4269)
  • Whitespace before # fmt: skip comments is no longer normalized (#​4146)
  • Fix line length computation for certain expressions that involve the power operator
    (#​4154)
  • Check if there is a newline before the terminating quotes of a docstring (#​4185)
  • Fix type annotation spacing between * and more complex type variable tuple (#​4440)

The following changes were not in any previous release:

  • Remove parentheses around sole list items (#​4312)
  • Generic function definitions are now formatted more elegantly: parameters are split
    over multiple lines first instead of type parameter definitions (#​4553)
Stable style
  • Fix formatting cells in IPython notebooks with magic methods and starting or trailing
    empty lines (#​4484)
  • Fix crash when formatting with statements containing tuple generators/unpacking
    (#​4538)
Preview style
  • Fix/remove string merging changing f-string quotes on f-strings with internal quotes
    (#​4498)
  • Collapse multiple empty lines after an import into one (#​4489)
  • Prevent string_processing and wrap_long_dict_values_in_parens from removing
    parentheses around long dictionary values (#​4377)
  • Move wrap_long_dict_values_in_parens from the unstable to preview style (#​4561)
Packaging
  • Store license identifier inside the License-Expression metadata field, see
    PEP 639. (#​4479)
Performance
  • Speed up the is_fstring_start function in Black's tokenizer (#​4541)
Integrations
  • If using stdin with --stdin-filename set to a force excluded path, stdin won't be
    formatted. (#​4539)
python-cffi/cffi (cffi)

v2.0.0

Compare Source

What's Changed

  • Add Python 3.14 support.
  • Add CPython free-threaded support (3.14t+ only) - huge thanks to the folks at Quansight Labs for all the work to get this one sorted!
  • Drop Python <= 3.8 support.
  • Fix order dependency affecting nested type size calculation (#​148).

Full Changelog: python-cffi/cffi@v1.17.1...v2.0.0

pyca/cryptography (cryptography)

v46.0.3

Compare Source

v46.0.2

Compare Source

v46.0.1

Compare Source

v46.0.0

Compare Source

v45.0.7

Compare Source

v45.0.6

Compare Source

hvac/hvac (hvac)

v2.4.0

Compare Source

🚀 Features
  • add audience param to kubernetes role creation (GH-1224)
📚 Documentation
  • docs: fix AppRole.login docstring (GH-1182)
🧰 Miscellaneous
  • Fix a typo in read_secret_version warning message (GH-1219)
  • Pin consul version in CI (GH-1210)

v2.3.0

Compare Source

🚀 Features
  • Implement the /sys/wrapping/wrap endpoint (GH-1172)
  • add support for Vault Raft auto-snapshot endpoints. (GH-1169)
🧰 Miscellaneous
  • Dependencies/security updates (GH-1174)
  • update artifact actions to v4 (GH-1173)

v2.2.0

Compare Source

📢 Deprecations / Announcements
  • Add new exception types for HTTP status 405 and 412 (GH-1148)
🚀 Features
  • LDAP secrets engine enhancements (GH-1163)
  • LDAP secret engine support (#​1032) (GH-1033)
  • Add new exception types for HTTP status 405 and 412 (GH-1148)
  • Add sts_region parameter to auth.aws.configure (GH-1136)
  • Adding namespace_in_state to jwt (GH-1144)
  • Add associated_data to encrypt/decrypt transit endpoints (GH-1108)
  • aws auth - add support for iam_metadata and ec2_metadata params (GH-1125)
🧰 Miscellaneous
  • Bump idna from 3.6 to 3.7 (GH-1160)
  • Bump jwcrypto from 1.5.1 to 1.5.6 (GH-1158)
  • Bump cryptography from 41.0.7 to 42.0.4 (GH-1157)
  • add Vault 1.16.x to CI matrix (GH-1155)
  • Make integration tests more reliable (GH-1153)
  • Replace distutils.spawn with shutil.which (GH-1146)
  • Bump jinja2 from 3.0.3 to 3.1.3 (GH-1131)
  • refactor: move identity DEFAULT_MOUNT_POINT to constants (GH-1123)

v2.1.0

Compare Source

🚀 Features
  • Add support for sys/policies endpoint (GH-1100)
  • add quota support to system backend (GH-1092)
  • Add support to PKI class to perform CRUD on issuers (GH-1102)
🐛 Bug Fixes
  • Client.write_data - remove potentially dangerous default (GH-1120)
📚 Documentation
  • 📝 Add HTTP/2+ use case into the advanced usage section (GH-1111)
  • update the KV documentation (GH-1122)
  • Add support for sys/policies endpoint (GH-1100)
  • fix readthedocs (RTD) public docsite, modernize some of the docs build/testing (GH-1119)
  • Add support to PKI class to perform CRUD on issuers (GH-1102)
  • Update GCP secrets engine documentation (GH-1099)
🧰 Miscellaneous
  • fix readthedocs (RTD) public docsite, modernize some of the docs build/testing (GH-1119)
  • Revamp integration tests, run in parallel (GH-1105)
  • Add Vault 1.15.x to integration tests (GH-1103)

v2.0.0

Compare Source

This release makes a number of breaking changes. Most notably, dropping support for Python 3.6 & 3.7, dropping support for Vault versions 1.6.x through 1.10.x, and removing previously deprecated methods and code paths. Most of the other breaking changes are fairly minor or only affect specific use cases, but please review all changes carefully.

There are also several other deprecations and announcements to be aware of. We hope to have a more rapid release schedule going forward.

In accordance with our supported Python version policy we will continue to drop Python versions as they become end-of-life. These may not be announced in advance, but will be done in major versions.

💥 Breaking Changes
  • Client.write method breaking changes 2.0.0 (GH-1089)
  • Drop support for Vault 1.6-1.10 (GH-1074)
  • Changing default values for sys.initialize parameters secret_shares and secret_threshold (GH-1063)
  • Remove old deprecated client attributes (GH-1062)
  • Remove MFA class (GH-1056)
  • adapters: if session is user-supplied, do not overwrite session options with Client/Adapter options (GH-1021)
  • Make pyhcl optional again (GH-1060)
  • Drop Python 3.6 & 3.7, Add Python 3.11, bump some dependencies (GH-1048)
📢 Deprecations / Announcements
  • Breaking changes coming to Adapters' use of custom sessions (GH-1040)
  • Breaking changes coming to Client.write method (GH-1034)
  • The default value of raise_on_deleted_version will change from True to False in v3.0.0 (GH-955)
  • The certificate parameter for create_ca_certificate_role will stop accepting file paths in v3.0.0 (GH-914)
  • Drop support for Vault 1.6-1.10 (GH-1074)
  • Changing default values for sys.initialize parameters secret_shares and secret_threshold (GH-1063)
  • Fix typo in safety_buffer argument in AWS auth (GH-1068)
🚀 Features
  • Add support for Python 3.12 (GH-1073)
  • Database Secrets Engine - add rotate_static_credentials method, docs updates, unit tests (GH-1069)
  • Make plaintext and ciphertext optional for batch operations (GH-1049)
🐛 Bug Fixes
  • Changing default values for sys.initialize parameters secret_shares and secret_threshold (GH-1063)
  • adapters: if session is user-supplied, do not overwrite session options with Client/Adapter options (GH-1021)
📚 Documentation
  • update docstring for sys step-down (GH-1086)
  • Database Secrets Engine - add rotate_static_credentials method, docs updates, unit tests (GH-1069)
  • Fix invalid build and test status (GH-1072)
🧰 Miscellaneous
  • add .git-blame-ignore-revs (GH-1087)
  • Fix typos, add typos linter to CI (GH-1057)
  • drop python-jwt dev dependency (GH-1084)
executablebooks/markdown-it-py (markdown-it-py)

v4.0.0

Compare Source

This primarily drops support for Python 3.9, adds support for Python 3.13,
and updates the parser to comply with Commonmark 0.31.2 and Markdown-It v14.1.0.

  • ⬆️ Drop support for Python 3.9 in #​360
  • ⬆️ Comply with Commonmark 0.31.2 in #​362
  • 👌 Improve performance of "text" inline rule in #​347
  • 👌 Use str.removesuffix in #​348
  • 👌 limit the number of autocompleted cells in a table in #​364
  • 👌 fix quadratic complexity in reference parser in #​367
  • 🐛 Fix emphasis inside raw links bugs in #​320

Full Changelog: executablebooks/markdown-it-py@v3.0.0...v4.0.0

numpy/numpy (numpy)

v2.4.0

Compare Source

v2.3.5: 2.3.5 (Nov 16, 2025)

Compare Source

NumPy 2.3.5 Release Notes

The NumPy 2.3.5 release is a patch release split between a number of maintenance
updates and bug fixes. This release supports Python versions 3.11-3.14.

Contributors

A total of 10 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • Aaron Kollasch +
  • Charles Harris
  • Joren Hammudoglu
  • Matti Picus
  • Nathan Goldbaum
  • Rafael Laboissière +
  • Sayed Awad
  • Sebastian Berg
  • Warren Weckesser
  • Yasir Ashfaq +

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #​29979: MAINT: Prepare 2.3.x for further development
  • #​30026: SIMD, BLD: Backport FPMATH mode on x86-32 and filter successor...
  • #​30029: MAINT: Backport write_release.py
  • #​30041: TYP: Various typing updates
  • #​30059: BUG: Fix np.strings.slice if stop=None or start and stop >= len...
  • #​30063: BUG: Fix np.strings.slice if start > stop
  • #​30076: BUG: avoid negating INT_MIN in PyArray_Round implementation (#​30071)
  • #​30090: BUG: Fix resize when it contains references (#​29970)
  • #​30129: BLD: update scipy-openblas, use -Dpkg_config_path (#​30049)
  • #​30130: BUG: Avoid compilation error of wrapper file generated with SWIG...
  • #​30157: BLD: use scipy-openblas 0.3.30.7 (#​30132)
  • #​30158: DOC: Remove nonexistent order parameter docs of ma.asanyarray...
  • #​30185: BUG: Fix check of PyMem_Calloc return value. (#​30176)
  • #​30217: DOC: fix links for newly rebuilt numpy-tutorials site
  • #​30218: BUG: Fix build on s390x with clang (#​30214)
  • #​30237: ENH: Make FPE blas check a runtime check for all apple arm systems

v2.3.4: (Oct 15, 2025)

Compare Source

NumPy 2.3.4 Release Notes

The NumPy 2.3.4 release is a patch release split between a number of maintenance
updates and bug fixes. This release supports Python versions 3.11-3.14. This
release is based on Python 3.14.0 final.

Changes

The npymath and npyrandom libraries now have a .lib rather than a
.a file extension on win-arm64, for compatibility for building with MSVC and
setuptools. Please note that using these static libraries is discouraged
and for existing projects using it, it's best to use it with a matching
compiler toolchain, which is clang-cl on Windows on Arm.

(gh-29750)

Contributors

A total of 17 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • !DWesl
  • Charles Harris
  • Christian Barbia +
  • Evgeni Burovski
  • Joren Hammudoglu
  • Maaz +
  • Mateusz Sokół
  • Matti Picus
  • Nathan Goldbaum
  • Ralf Gommers
  • Riku Sakamoto +
  • Sandeep Gupta +
  • Sayed Awad
  • Sebastian Berg
  • Sergey Fedorov +
  • Warren Weckesser
  • dependabot[bot]
Pull requests merged

A total of 30 pull requests were merged for this release.

v2.3.3: 2.3.3 (Sep 9, 2025)

Compare Source

NumPy 2.3.3 Release Notes

The NumPy 2.3.3 release is a patch release split between a number of maintenance
updates and bug fixes. This release supports Python versions 3.11-3.14. Note
that the 3.14.0 final is currently expected in Oct, 2025. This release is based
on 3.14.0rc2.

Contributors

A total of 13 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • Aleksandr A. Voyt +
  • Bernard Roesler +
  • Charles Harris
  • Hunter Hogan +
  • Joren Hammudoglu
  • Maanas Arora
  • Matti Picus
  • Nathan Goldbaum
  • Raghuveer Devulapalli
  • Sanjay Kumar Sakamuri Kamalakar +
  • Tobias Markus +
  • Warren Weckesser
  • Zebreus +
Pull requests merged

A total of 23 pull requests were merged for this release.

  • #​29440: MAINT: Prepare 2.3.x for further development.
  • #​29446: BUG: Fix test_configtool_pkgconfigdir to resolve PKG_CONFIG_DIR...
  • #​29447: BLD: allow targeting webassembly without emscripten
  • #​29460: MAINT: Backport write_release.py
  • #​29473: MAINT: Bump pypa/cibuildwheel from 3.1.0 to 3.1.2
  • #​29500: BUG: Always return a real dtype from linalg.cond (gh-18304) (#​29333)
  • #​29501: MAINT: Add .file entry to all .s SVML files
  • #​29556: BUG: Casting from one timedelta64 to another didn't handle NAT.
  • #​29562: BLD: update vendored Meson to 1.8.3 [wheel build]
  • #​29563: BUG: Fix metadata not roundtripping when pickling datetime (#​29555)
  • #​29587: TST: update link and version for Intel SDE download
  • #​29593: TYP: add sorted kwarg to unique
  • #​29672: MAINT: Update pythoncapi-compat from main.
  • #​29673: MAINT: Update cibuildwheel.
  • #​29674: MAINT: Fix typo in wheels.yml
  • #​29683: BUG, BLD: Correct regex for ppc64 VSX3/VSX4 feature detection
  • #​29684: TYP: ndarray.fill() takes no keyword arguments
  • #​29685: BUG: avoid thread-unsafe refcount check in temp elision
  • #​29687: CI: replace comment-hider action in mypy_primer workflow
  • #​29689: BLD: Add missing <unordered_map> include
  • #​29691: BUG: use correct input dtype in flatiter assignment
  • #​29700: TYP: fix np.bool method declarations
  • #​29701: BUG: Correct ambiguous logic for s390x CPU feature detection

v2.3.2: (Jul 24, 2025)

Compare Source

NumPy 2.3.2 Release Notes

The NumPy 2.3.2 release is a patch release with a number of bug fixes
and maintenance updates. The highlights are:

  • Wheels for Python 3.14.0rc1
  • PyPy updated to the latest stable release
  • OpenBLAS updated to 0.3.30

This release supports Python versions 3.11-3.14

Contributors

A total of 9 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • !DWesl
  • Charles Harris
  • Joren Hammudoglu
  • Maanas Arora
  • Marco Edward Gorelli
  • Matti Picus
  • Nathan Goldbaum
  • Sebastian Berg
  • kostayScr +

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #​29256: MAINT: Prepare 2.3.x for further development
  • #​29283: TYP: Work around a mypy issue with bool arrays (#​29248)
  • #​29284: BUG: fix fencepost error in StringDType internals
  • #​29287: BUG: handle case in mapiter where descriptors might get replaced...
  • #​29350: BUG: Fix shape error path in array-interface
  • #​29412: BUG: Allow reading non-npy files in npz and add test
  • #​29413: TST: Avoid uninitialized values in test (#​29341)
  • #​29414: BUG: Fix reference leakage for output arrays in reduction functions
  • #​29415: BUG: fix casting issue in center, ljust, rjust, and zfill (#​29369)
  • #​29416: TYP: Fix overloads in np.char.array and np.char.asarray...
  • #​29417: BUG: Any dtype should call square on arr \*\* 2 (#​29392)
  • #​29424: MAINT: use a stable pypy release in CI
  • #​29425: MAINT: Support python 314rc1
  • #​29429: MAINT: Update highway to match main.
  • #​29430: BLD: use github to build macos-arm64 wheels with OpenBLAS and...
  • #​29437: BUG: fix datetime/timedelta hash memory leak (#​29411)

Checksums

MD5
e35c637ea9fba77eabfdf70e26eaa16d  numpy-2.3.2-cp311-cp311-macosx_10_9_x86_64.whl
3dede42d11c843cfacff422f65a80e47  numpy-2.3.2-cp311-cp311-macosx_11_0_arm64.whl
f5c485a43210eb3541b254c8c9d6ac9e  numpy-2.3.2-cp311-cp311-macosx_14_0_arm64.whl
658950eb37e19b42920635ee60830a1d  numpy-2.3.2-cp311-cp311-macosx_14_0_x86_64.whl
9a864a280798829cc522521bc5d9c7e2  numpy-2.3.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
085e1ff7746d327a1320672ab86966c3  numpy-2.3.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
6acefa06c38bc616352b76174d4f19d2  numpy-2.3.2-cp311-cp311-musllinux_1_2_aarch64.whl
4dd3469970dbfba60dad41b9923c5a5a  numpy-2.3.2-cp311-cp311-musllinux_1_2_x86_64.whl
ad090139b8b872a9157b92c840566c5e  numpy-2.3.2-cp311-cp311-win32.whl
09b023f808432e60633e36a13630dc13  numpy-2.3.2-cp311-cp311-win_amd64.whl
c80f2a1c4c829ccb6745a6d0803b7177  numpy-2.3.2-cp311-cp311-win_arm64.whl
307fc28e0c630dbc5a6ff4051ee9ec6c  numpy-2.3.2-cp312-cp312-macosx_10_13_x86_64.whl
4af1ffb81bdec235aef1b9bdf7c1566d  numpy-2.3.2-cp312-cp312-macosx_11_0_arm64.whl
8003e8df1badaffee163a603bf05656b  numpy-2.3.2-cp312-cp312-macosx_14_0_arm64.whl
e703fab1c371fd27389401caa34a5cbd  numpy-2.3.2-cp312-cp312-macosx_14_0_x86_64.whl
5fdc228f15ec5de78b89c7aa4c137019  numpy-2.3.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
f3bc10b89911c09777c4c5d9752f35b0  numpy-2.3.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
5d0128aa0f6aa3a5122364a727a72eba  numpy-2.3.2-cp312-cp312-musllinux_1_2_aarch64.whl
ef392070c44709321d7f87ab15bbd674  numpy-2.3.2-cp312-cp312-musllinux_1_2_x86_64.whl
909e05dcd1164cc02d5fccc1cc6c9ca6  numpy-2.3.2-cp312-cp312-win32.whl
3ba0b657682fc54d9433b4d7244c9264  numpy-2.3.2-cp312-cp312-win_amd64.whl
05755e8c591b1ac2fff05a06d76ac414  numpy-2.3.2-cp312-cp312-win_arm64.whl
c1e323fa1986bc99ae96c46126a30f93  numpy-2.3.2-cp313-cp313-macosx_10_13_x86_64.whl
9a89327ef3550581017ea6e2a47c1a8e  numpy-2.3.2-cp313-cp313-macosx_11_0_arm64.whl
3c7236116911c5c19de0091d7ac81f65  numpy-2.3.2-cp313-cp313-macosx_14_0_arm64.whl
1809c7adafae6492741864cf4dda7d1e  numpy-2.3.2-cp313-cp313-macosx_14_0_x86_64.whl
ee68f94ec5f9c0c7f9423d7329bc085e  numpy-2.3.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
24c4e95f0a615356787e2920378e5c6f  numpy-2.3.2-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
5c53a2c915d177b7c305c0386ba21b43  numpy-2.3.2-cp313-cp313-musllinux_1_2_aarch64.whl
c4607ea441320a0078d942ca21ef2411  numpy-2.3.2-cp313-cp313-musllinux_1_2_x86_64.whl
09f2fdeb35d952751ba269ca5fa77e7a  numpy-2.3.2-cp313-cp313-win32.whl
47a7326544ce192df844b3e9750c7704  numpy-2.3.2-cp313-cp313-win_amd64.whl
9b5adab8ee4eb97ccf90d73d63671db4  numpy-2.3.2-cp313-cp313-win_arm64.whl
7169baf4160b9a75790650cef23a73e1  numpy-2.3.2-cp313-cp313t-macosx_10_13_x86_64.whl
0338f2a78981d84d84e5f693ed6112d5  numpy-2.3.2-cp313-cp313t-macosx_11_0_arm64.whl
b0c1c28add9716f7cee433d53fb43067  numpy-2.3.2-cp313-cp313t-macosx_14_0_arm64.whl
d2d8d43c535184095550420169858b90  numpy-2.3.2-cp313-cp313t-macosx_14_0_x86_64.whl
745bb6930958f4d7980cd705621abc25  numpy-2.3.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
96412f8c9687d468e260aacdfb9cca02  numpy-2.3.2-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
11ce971fe997bf5c0784516db85891ff  numpy-2.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl
e71ba272e9db74bc753ca056e76fdf5b  numpy-2.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl
82feb6822f2cf04a9edf38cf7f7d4806  numpy-2.3.2-cp313-cp313t-win32.whl
c6c8a1a2e94a9fc2dad9d161a6666e54  numpy-2.3.2-cp313-cp313t-win_amd64.whl
29e65f132c4a916214a0e82bca214717  numpy-2.3.2-cp313-cp313t-win_arm64.whl
2b99d343001495b182027843bf2148b2  numpy-2.3.2-cp314-cp314-macosx_10_13_x86_64.whl
40d04ac18cd9db3c380224d3d5607770  numpy-2.3.2-cp314-cp314-macosx_11_0_arm64.whl
871631874c6839719d1c1b3ad81835cd  numpy-2.3.2-cp314-cp314-macosx_14_0_arm64.whl
4d4098888f19de85dd18646c2f955cd2  numpy-2.3.2-cp314-cp314-macosx_14_0_x86_64.whl
813e47e3c07cd28bf0458a1e513d6619  numpy-2.3.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
1fe080566baca813e6ac4635011a408a  numpy-2.3.2-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
bd44ab38b53a4b5b6130b6f01ffaf5fa  numpy-2.3.2-cp314-cp314-musllinux_1_2_aarch64.whl
f2fda217bec39ede344b42fef2cbd9e5  numpy-2.3.2-cp314-cp314-musllinux_1_2_x86_64.whl
c02218de0d0666769c91513eafaf251f  numpy-2.3.2-cp314-cp314-win32.whl
d419eb806a6f5debb366d4bcf0f5bde0  numpy-2.3.2-cp314-cp314-win_amd64.whl
851529ffdf2b0d4b66eb1ac99c24da3e  numpy-2.3.2-cp314-cp314-win_arm64.whl
2306e8b73fcd2d46116c6a95034e4d3a  numpy-2.3.2-cp314-cp314t-macosx_10_13_x86_64.whl
b4d4ce3339cb9f0b0f2b339db803f39c  numpy-2.3.2-cp314-cp314t-macosx_11_0_arm64.whl
6ae336ac461d5d89811c8a236b442842  numpy-2.3.2-cp314-cp314t-macosx_14_0_arm64.whl
351f35dd00bfb35e6cad2447a14c7cdf  numpy-2.3.2-cp314-cp314t-macosx_14_0_x86_64.whl
0e0b26b34024f24a5f59809a1778ace0  numpy-2.3.2-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
bc77a7f5826bb0a38154d31d8444abb7  numpy-2.3.2-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
cd1e335e2a8437339475db12ee30f26d  numpy-2.3.2-cp314-cp314t-musllinux_1_2_aarch64.whl
5c8093e713bd7e5f8512458d53fefeed  numpy-2.3.2-cp314-cp314t-musllinux_1_2_x86_64.whl
66125a7e4e311fc2dedfa8c25ee577f2  numpy-2.3.2-cp314-cp314t-win32.whl
97713f41a5d4a08e8ed3d629d07678d3  numpy-2.3.2-cp314-cp314t-win_amd64.whl
848c4c409b643c2b42c431f51b310095  numpy-2.3.2-cp314-cp314t-win_arm64.whl
e240eed2fc098f7a0ae9813abead8a05  numpy-2.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl
7e46ebe46530596019ae6b5db8a7a564  numpy-2.3.2-pp311-pypy311_pp73-macosx_11_0_arm64.whl
82077182e608a0d366eba700902463b5  numpy-2.3.2-pp311-pypy311_pp73-macosx_14_0_arm64.whl
67db17064907cd22a74676b50de1ab6d  numpy-2.3.2-pp311-pypy311_pp73-macosx_14_0_x86_64.whl
6d59903ecd732d53dd230ca59cdc2c34  numpy-2.3.2-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
baae8d6875e1de409ffef875896c4b4f  numpy-2.3.2-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
5d92d6c39f2f0b28149ed15437b13cf7  numpy-2.3.2-pp311-pypy311_pp73-win_amd64.whl
f8d3d3b3ecd2b6e98889e88f6bbdc1a3  numpy-2.3.2.tar.gz
SHA256
852ae5bed3478b92f093e30f785c98e0cb62fa0a939ed057c31716e18a7a22b9  numpy-2.3.2-cp311-cp311-macosx_10_9_x86_64.whl
7a0e27186e781a69959d0230dd9909b5e26024f8da10683bd6344baea1885168  numpy-2.3.2-cp311-cp311-macosx_11_0_arm64.whl
f0a1a8476ad77a228e41619af2fa9505cf69df928e9aaa165746584ea17fed2b  numpy-2.3.2-cp311-cp311-macosx_14_0_arm64.whl
cbc95b3813920145032412f7e33d12080f11dc776262df1712e1638207dde9e8  numpy-2.3.2-cp311-cp311-macosx_14_0_x86_64.whl
f75018be4980a7324edc5930fe39aa391d5734531b1926968605416ff58c332d  numpy-2.3.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
20b8200721840f5621b7bd03f8dcd78de33ec522fc40dc2641aa09537df010c3  numpy-2.3.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
1f91e5c028504660d606340a084db4b216567ded1056ea2b4be4f9d10b67197f  numpy-2.3.2-cp311-cp311-musllinux_1_2_aarch64.whl
fb1752a3bb9a3ad2d6b090b88a9a0ae1cd6f004ef95f75825e2f382c183b2097  numpy-2.3.2-cp311-cp311-musllinux_1_2_x86_64.whl
4ae6863868aaee2f57503c7a5052b3a2807cf7a3914475e637a0ecd366ced220  numpy-2.3.2-cp311-cp311-win32.whl
240259d6564f1c65424bcd10f435145a7644a65a6811cfc3201c4a429ba79170  numpy-2.3.2-cp311-cp311-win_amd64.whl
4209f874d45f921bde2cff1ffcd8a3695f545ad2ffbef6d3d3c6768162efab89  numpy-2.3.2-cp311-cp311-win_arm64.whl
bc3186bea41fae9d8e90c2b4fb5f0a1f5a690682da79b92574d63f56b529080b  numpy-2.3.2-cp312-cp312-macosx_10_13_x86_64.whl
2f4f0215edb189048a3c03bd5b19345bdfa7b45a7a6f72ae5945d2a28272727f  numpy-2.3.2-cp312-cp312-macosx_11_0_arm64.whl
8b1224a734cd509f70816455c3cffe13a4f599b1bf7130f913ba0e2c0b2006c0  numpy-2.3.2-cp312-cp312-macosx_14_0_arm64.whl
3dcf02866b977a38ba3ec10215220609ab9667378a9e2150615673f3ffd6c73b  numpy-2.3.2-cp312-cp312-macosx_14_0_x86_64.whl
572d5512df5470f50ada8d1972c5f1082d9a0b7aa5944db8084077570cf98370  numpy-2.3.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
8145dd6d10df13c559d1e4314df29695613575183fa2e2d11fac4c208c8a1f73  numpy-2.3.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
103ea7063fa624af04a791c39f97070bf93b96d7af7eb23530cd087dc8dbe9dc  numpy-2.3.2-cp312-cp312-musllinux_1_2_aarch64.whl
fc927d7f289d14f5e037be917539620603294454130b6de200091e23d27dc9be  numpy-2.3.2-cp312-cp312-musllinux_1_2_x86_64.whl
d95f59afe7f808c103be692175008bab926b59309ade3e6d25009e9a171f7036  numpy-2.3.2-cp312-cp312-win32.whl
9e196ade2400c0c737d93465327d1ae7c06c7cb8a1756121ebf54b06ca183c7f  numpy-2.3.2-cp312-cp312-win_amd64.whl
ee807923782faaf60d0d7331f5e86da7d5e3079e28b291973c545476c2b00d07  numpy-2.3.2-cp312-cp312-win_arm64.whl
c8d9727f5316a256425892b043736d63e89ed15bbfe6556c5ff4d9d4448ff3b3  numpy-2.3.2-cp313-cp313-macosx_10_13_x86_64.whl
efc81393f25f14d11c9d161e46e6ee348637c0a1e8a54bf9dedc472a3fae993b  numpy-2.3.2-cp313-cp313-macosx_11_0_arm64.whl
dd937f088a2df683cbb79dda9a772b62a3e5a8a7e76690612c2737f38c6ef1b6  numpy-2.3.2-cp313-cp313-macosx_14_0_arm64.whl
11e58218c0c46c80509186e460d79fbdc9ca1eb8d8aee39d8f2dc768eb781089  numpy-2.3.2-cp3

</details>

---

### Configuration

📅 **Schedule**: Branch creation - "before 5am on Monday" in timezone UTC, Automerge - At any time (no schedule defined).

🚦 **Automerge**: Disabled by config. Please merge this manually once you are satisfied.

♻ **Rebasing**: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

👻 **Immortal**: This PR will be recreated if closed unmerged. Get [config help](https://redirect.github.com/renovatebot/renovate/discussions) if that's undesired.

---

 - [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check this box

---

This PR was generated by [Mend Renovate](https://mend.io/renovate/). View the [repository job log](https://developer.mend.io/github/finsite/stock-tech-patterns).
<!--renovate-debug:eyJjcmVhdGVkSW5WZXIiOiI0MC41MC4wIiwidXBkYXRlZEluVmVyIjoiNDIuNTkuMCIsInRhcmdldEJyYW5jaCI6Im1haW4iLCJsYWJlbHMiOlsiZGVwZW5kZW5jaWVzIl19-->

@renovate renovate bot added the dependencies Pull requests that update a dependency file label Jun 16, 2025
@github-actions github-actions bot requested a review from mobious999 June 16, 2025 02:53
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from 3d51e89 to 3f4ca97 Compare June 21, 2025 13:09
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 2 times, most recently from 7a7f1e6 to 44fe152 Compare July 1, 2025 11:51
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from 44fe152 to e0d1484 Compare July 24, 2025 22:43
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from e0d1484 to f9df860 Compare August 4, 2025 12:36
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 2 times, most recently from 8fd7562 to 9160f1f Compare August 13, 2025 11:14
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from 9160f1f to 11045ff Compare August 21, 2025 16:41
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 2 times, most recently from 1c8d08f to cc08767 Compare September 6, 2025 23:29
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 3 times, most recently from be5e6b9 to a08af3c Compare September 9, 2025 16:37
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 3 times, most recently from be66e1b to 9fe3b12 Compare September 19, 2025 01:11
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 3 times, most recently from 4311696 to 86b730f Compare October 6, 2025 17:52
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 4 times, most recently from c8f304d to 998d5d3 Compare October 19, 2025 16:43
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 4 times, most recently from 4d49953 to 64f007a Compare October 25, 2025 22:29
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 5 times, most recently from 5552d0e to d75dae1 Compare November 3, 2025 22:51
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 4 times, most recently from 6903bc8 to 8675aba Compare November 15, 2025 17:04
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from 8675aba to eb1e78f Compare November 17, 2025 01:49
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch 2 times, most recently from d2d8cfc to 7a18438 Compare December 8, 2025 02:11
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from 7a18438 to 9ce89be Compare December 20, 2025 17:54
@renovate renovate bot force-pushed the renovate/major-python-dependencies branch from 9ce89be to 4fc0091 Compare December 23, 2025 21:49
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

AnyChange dependencies Pull requests that update a dependency file release root source

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants