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chore(deps): bump the pip group across 6 directories with 11 updates#6406

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chore(deps): bump the pip group across 6 directories with 11 updates#6406
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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 8 updates in the /docker/sklearn/1.4-2-py312 directory:

Package From To
urllib3 1.26.17 2.7.0
cryptography 46.0.7 48.0.1
scikit-learn 1.4.2 1.5.0
flask 1.1.1 3.1.3
protobuf 3.20.2 5.29.6
pyarrow 17.0.0 23.0.1
werkzeug 2.0.3 3.1.6
wheel 0.45.1 0.46.2

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
jinja2 2.11.3 3.1.6
pyarrow 22.0.0 23.0.1
werkzeug 0.15.6 3.1.6

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

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 2.11.0 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 blo...

Description has been truncated

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 8 updates in the /docker/sklearn/1.4-2-py312 directory:

| Package | From | To |
| --- | --- | --- |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.17` | `2.7.0` |
| [cryptography](https://github.com/pyca/cryptography) | `46.0.7` | `48.0.1` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.4.2` | `1.5.0` |
| [flask](https://github.com/pallets/flask) | `1.1.1` | `3.1.3` |
| [protobuf](https://github.com/protocolbuffers/protobuf) | `3.20.2` | `5.29.6` |
| [pyarrow](https://github.com/apache/arrow) | `17.0.0` | `23.0.1` |
| [werkzeug](https://github.com/pallets/werkzeug) | `2.0.3` | `3.1.6` |
| [wheel](https://github.com/pypa/wheel) | `0.45.1` | `0.46.2` |

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` |
| [jinja2](https://github.com/pallets/jinja) | `2.11.3` | `3.1.6` |
| [pyarrow](https://github.com/apache/arrow) | `22.0.0` | `23.0.1` |
| [werkzeug](https://github.com/pallets/werkzeug) | `0.15.6` | `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), [jinja2](https://github.com/pallets/jinja) and [werkzeug](https://github.com/pallets/werkzeug).


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 2.11.0 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 `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 26.1.2
- [Changelog](https://github.com/pypa/pip/blob/main/NEWS.rst)
- [Commits](pypa/pip@26.0.1...26.1.2)

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 1.26.17 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@1.26.17...2.7.0)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

Updates `urllib3` from 1.26.17 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@1.26.17...2.7.0)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

Updates `urllib3` from 1.26.17 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@1.26.17...2.7.0)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

Updates `urllib3` from 1.26.17 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@1.26.17...2.7.0)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

Updates `scikit-learn` from 1.4.2 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.4.2...1.5.0)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

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 `protobuf` from 3.20.2 to 5.29.6
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Commits](https://github.com/protocolbuffers/protobuf/commits)

Updates `pyarrow` from 17.0.0 to 23.0.1
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@go/v17.0.0...apache-arrow-23.0.1)

Updates `scikit-learn` from 1.4.2 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.4.2...1.5.0)

Updates `urllib3` from 1.26.17 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@1.26.17...2.7.0)

Updates `werkzeug` from 2.0.3 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@2.0.3...3.1.6)

Updates `wheel` from 0.45.1 to 0.46.2
- [Release notes](https://github.com/pypa/wheel/releases)
- [Changelog](https://github.com/pypa/wheel/blob/main/docs/news.rst)
- [Commits](pypa/wheel@0.45.1...0.46.2)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

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 `scikit-learn` from 1.4.2 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.4.2...1.5.0)

Updates `urllib3` from 1.26.17 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@1.26.17...2.7.0)

Updates `werkzeug` from 2.0.3 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@2.0.3...3.1.6)

Updates `pyarrow` from 17.0.0 to 23.0.1
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@go/v17.0.0...apache-arrow-23.0.1)

Updates `protobuf` from 3.20.2 to 5.29.6
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Commits](https://github.com/protocolbuffers/protobuf/commits)

Updates `wheel` from 0.45.1 to 0.46.2
- [Release notes](https://github.com/pypa/wheel/releases)
- [Changelog](https://github.com/pypa/wheel/blob/main/docs/news.rst)
- [Commits](pypa/wheel@0.45.1...0.46.2)

Updates `cryptography` from 46.0.7 to 48.0.1
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](pyca/cryptography@46.0.7...48.0.1)

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 `scikit-learn` from 1.4.2 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.4.2...1.5.0)

Updates `urllib3` from 1.26.17 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@1.26.17...2.7.0)

Updates `werkzeug` from 2.0.3 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@2.0.3...3.1.6)

Updates `wheel` from 0.45.1 to 0.46.2
- [Release notes](https://github.com/pypa/wheel/releases)
- [Changelog](https://github.com/pypa/wheel/blob/main/docs/news.rst)
- [Commits](pypa/wheel@0.45.1...0.46.2)

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@1.26.17...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@1.26.17...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@1.26.17...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@1.26.17...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 `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 `pyarrow` from 22.0.0 to 23.0.1
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@go/v17.0.0...apache-arrow-23.0.1)

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@1.26.17...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@2.0.3...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 `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@1.26.17...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@2.0.3...3.1.6)

Updates `pyarrow` from 22.0.0 to 23.0.1
- [Release notes](https://github.com/apache/arrow/releases)
- [Commits](apache/arrow@go/v17.0.0...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@1.26.17...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@2.0.3...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@1.26.17...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@1.26.17...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@1.26.17...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@1.26.17...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 `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@1.26.17...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@2.0.3...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 `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@1.26.17...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@2.0.3...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@1.26.17...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@2.0.3...3.1.6)

---
updated-dependencies:
- dependency-name: torch
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
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- dependency-name: torch
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- dependency-name: torch
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- dependency-name: torch
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- dependency-name: torch
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  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
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  dependency-group: pip
- dependency-name: torch
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  dependency-group: pip
- dependency-name: torch
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  dependency-group: pip
- dependency-name: torch
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  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
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  dependency-group: pip
- dependency-name: pip
  dependency-version: 26.1.2
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
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  dependency-group: pip
- dependency-name: urllib3
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: cryptography
  dependency-version: 48.0.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
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  dependency-group: pip
- dependency-name: cryptography
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- dependency-name: urllib3
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  dependency-group: pip
- dependency-name: cryptography
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- dependency-name: urllib3
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- dependency-name: cryptography
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- dependency-name: scikit-learn
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  dependency-group: pip
- dependency-name: cryptography
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  dependency-group: pip
- dependency-name: flask
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: protobuf
  dependency-version: 5.29.6
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pyarrow
  dependency-version: 23.0.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
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  dependency-group: pip
- dependency-name: urllib3
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- dependency-name: werkzeug
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  dependency-group: pip
- dependency-name: wheel
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: cryptography
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  dependency-group: pip
- dependency-name: flask
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  dependency-group: pip
- dependency-name: scikit-learn
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- dependency-name: urllib3
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- dependency-name: werkzeug
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- dependency-name: pyarrow
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- dependency-name: protobuf
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  dependency-group: pip
- dependency-name: wheel
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: cryptography
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  dependency-group: pip
- dependency-name: flask
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
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  dependency-group: pip
- dependency-name: werkzeug
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  dependency-type: direct:production
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- dependency-name: wheel
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
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  dependency-group: pip
- dependency-name: flask
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: jinja2
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  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pyarrow
  dependency-version: 23.0.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.7.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
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  dependency-type: direct:production
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...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 14, 2026
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