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chore(deps): bump the pip group across 5 directories with 7 updates#6334

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chore(deps): bump the pip group across 5 directories with 7 updates#6334
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Bumps the pip group with 1 update in the /docker/pytorch/2.11/cpu directory: torch.
Bumps the pip group with 1 update in the /docker/pytorch/2.11/cuda directory: torch.
Bumps the pip group with 2 updates in the /docker/ray directory: torch and pip.
Bumps the pip group with 5 updates in the /docker/xgboost directory:

Package From To
urllib3 1.26.20 2.7.0
flask 1.1.1 3.1.3
werkzeug 0.15.6 3.1.6
pyarrow 22.0.0 23.0.1
jinja2 2.11.3 3.1.6

Bumps the pip group with 4 updates in the /docker/xgboost/3.0-5 directory: urllib3, flask, werkzeug and jinja2.

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.10.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.10.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates pip from 26.0.1 to 26.1

Changelog

Sourced from pip's changelog.

26.1 (2026-04-26)

Deprecations and Removals

  • Drop support for Python 3.9. ([#13795](https://github.com/pypa/pip/issues/13795) <https://github.com/pypa/pip/issues/13795>_)

Features

  • Add experimental support to read requirements from standardized pylock.toml files (-r pylock.toml). ([#13876](https://github.com/pypa/pip/issues/13876) <https://github.com/pypa/pip/issues/13876>_)
  • Allow --uploaded-prior-to to accept a duration in days (e.g., P3D for 3 days ago). ([#13674](https://github.com/pypa/pip/issues/13674) <https://github.com/pypa/pip/issues/13674>_)

Enhancements

  • Speed up dependency resolution when there are complex conflicts. ([#13859](https://github.com/pypa/pip/issues/13859) <https://github.com/pypa/pip/issues/13859>_)
  • Reduce memory usage when resolving large dependency trees. ([#13843](https://github.com/pypa/pip/issues/13843) <https://github.com/pypa/pip/issues/13843>_)
  • Emit a deprecation warning when pip imports an unexpected module after installation of a distribution has started. ([#13912](https://github.com/pypa/pip/issues/13912) <https://github.com/pypa/pip/issues/13912>_)
  • Allow URL constraints to apply to requirements with extras. ([#12018](https://github.com/pypa/pip/issues/12018) <https://github.com/pypa/pip/issues/12018>_)
  • Allow unpinned requirements to use hashes from constraints. Constraints like {name}=={version} --hash=... feeds into hash verification for a corresponding requirement. ([#9243](https://github.com/pypa/pip/issues/9243) <https://github.com/pypa/pip/issues/9243>_)
  • Improve conflict reports that involve direct URLs. ([#13932](https://github.com/pypa/pip/issues/13932) <https://github.com/pypa/pip/issues/13932>_)
  • Show all errors instead of first error for faulty dependency_groups definitions. ([#13917](https://github.com/pypa/pip/issues/13917) <https://github.com/pypa/pip/issues/13917>_)

Bug Fixes

  • Fix recovery hint for missing RECORD file to use --ignore-installed instead of --force-reinstall. ([#12645](https://github.com/pypa/pip/issues/12645) <https://github.com/pypa/pip/issues/12645>_)
  • Fix misleading error message when a constraint file cannot be opened. ([#13226](https://github.com/pypa/pip/issues/13226) <https://github.com/pypa/pip/issues/13226>_)
  • Show the filename rather than the full URL when downloading files from non-PyPI indexes in non-verbose mode. ([#13494](https://github.com/pypa/pip/issues/13494) <https://github.com/pypa/pip/issues/13494>_)
  • Remove the adjacent __pycache__ directory when a .py file is removed. ([#13725](https://github.com/pypa/pip/issues/13725) <https://github.com/pypa/pip/issues/13725>_)
  • Force UTF-8 encoding for :pep:723 metadata. ([#13861](https://github.com/pypa/pip/issues/13861) <https://github.com/pypa/pip/issues/13861>_)
  • Minor performance improvement when filtering candidates during resolution. ([#13916](https://github.com/pypa/pip/issues/13916) <https://github.com/pypa/pip/issues/13916>_)
  • Fix a hang on Windows when stdout is closed during verbose output. ([#13927](https://github.com/pypa/pip/issues/13927) <https://github.com/pypa/pip/issues/13927>_)
  • Common path prefixes are determined by path segment, not character by character. ([#13847](https://github.com/pypa/pip/issues/13847) <https://github.com/pypa/pip/issues/13847>_)
  • Fix installing .tar.gz source distributions that look like a zip file. ([#13867](https://github.com/pypa/pip/issues/13867) <https://github.com/pypa/pip/issues/13867>_)

Vendored Libraries

  • Upgrade certifi to 2026.2.25
  • Upgrade packaging to 26.2
  • Upgrade requests to 2.33.1
  • Upgrade tomli to 2.3.1
  • Upgrade urllib3 to 2.6.3

... (truncated)

Commits
  • 90b2b3e Bump for release
  • 193f289 Update AUTHORS.txt
  • 63c3709 Merge pull request #13876 from sbidoul/install-from-pylock-reqs-sbi
  • e5fe702 Merge pull request #13949 from pypa/revert-13888-resolver-editable-links
  • 122a14a Revert "Allow editable installs to satisfy direct-URL dependencies (#13888)"
  • c335252 -r pylock.toml: add pip-wheel -r pylock.toml test
  • ba2fc12 -r pylock.toml: proper error with remote pylock.toml containing directory ent...
  • 747c4ae Merge pull request #13948 from ichard26/reword-news
  • 3517841 -r pylock: refine filename pylock-ness test
  • 2f7ad8c -r pylock.toml: fix crash with pip wheel and pip lock
  • Additional commits viewable in compare view

Updates torch from 2.10.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disabl...

    Description has been truncated

@dependabot
chore(deps): bump the pip group across 5 directories with 7 updates
32a6742 
Bumps the pip group with 1 update in the /docker/pytorch/2.11/cpu directory: [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /docker/pytorch/2.11/cuda directory: [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 2 updates in the /docker/ray directory: [torch](https://github.com/pytorch/pytorch) and [pip](https://github.com/pypa/pip).
Bumps the pip group with 5 updates in the /docker/xgboost directory:

| Package | From | To |
| --- | --- | --- |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.20` | `2.7.0` |
| [flask](https://github.com/pallets/flask) | `1.1.1` | `3.1.3` |
| [werkzeug](https://github.com/pallets/werkzeug) | `0.15.6` | `3.1.6` |
| [pyarrow](https://github.com/apache/arrow) | `22.0.0` | `23.0.1` |
| [jinja2](https://github.com/pallets/jinja) | `2.11.3` | `3.1.6` |

Bumps the pip group with 4 updates in the /docker/xgboost/3.0-5 directory: [urllib3](https://github.com/urllib3/urllib3), [flask](https://github.com/pallets/flask), [werkzeug](https://github.com/pallets/werkzeug) and [jinja2](https://github.com/pallets/jinja).


Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.10.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.10.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `pip` from 26.0.1 to 26.1
- [Changelog](https://github.com/pypa/pip/blob/main/NEWS.rst)
- [Commits](pypa/pip@26.0.1...26.1)

Updates `torch` from 2.10.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `flask` from 1.1.1 to 3.1.3
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@1.1.1...3.1.3)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `werkzeug` from 0.15.6 to 3.1.6
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@0.15.6...3.1.6)

Updates `pyarrow` from 22.0.0 to 23.0.1
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@apache-arrow-22.0.0...apache-arrow-23.0.1)

Updates `jinja2` from 2.11.3 to 3.1.6
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@2.11.3...3.1.6)

Updates `flask` from 1.1.1 to 3.1.3
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@1.1.1...3.1.3)

Updates `jinja2` from 2.11.3 to 3.1.6
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@2.11.3...3.1.6)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `werkzeug` from 0.15.6 to 3.1.6
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@0.15.6...3.1.6)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `flask` from 1.1.1 to 3.1.3
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@1.1.1...3.1.3)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `werkzeug` from 0.15.6 to 3.1.6
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@0.15.6...3.1.6)

Updates `jinja2` from 2.11.3 to 3.1.6
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@2.11.3...3.1.6)

Updates `flask` from 1.1.1 to 3.1.3
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@1.1.1...3.1.3)

Updates `jinja2` from 2.11.3 to 3.1.6
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](pallets/jinja@2.11.3...3.1.6)

Updates `urllib3` from 1.26.20 to 2.7.0
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.20...2.7.0)

Updates `werkzeug` from 0.15.6 to 3.1.6
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@0.15.6...3.1.6)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pip
  dependency-version: '26.1'
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pyarrow
  dependency-version: 23.0.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
  dependency-version: 3.1.6
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 1, 2026
@dependabot @github

dependabot Bot commented on behalf of github Jul 7, 2026

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Superseded by #6351.

@dependabot dependabot Bot closed this Jul 7, 2026
@dependabot dependabot Bot deleted the dependabot/pip/docker/pytorch/2.11/cpu/pip-417f66c130 branch July 7, 2026 03:25
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