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build(deps): bump the minor-updates group across 1 directory with 8 updates - #810

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build(deps): bump the minor-updates group across 1 directory with 8 updates#810
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Bumps the minor-updates group with 8 updates in the / directory:

Package From To
fastapi 0.138.0 0.140.8
uvicorn 0.49.0 0.51.0
onnxruntime 1.27.0 1.28.0
pyroscope-io 1.0.12 1.2.1
mypy 2.1.0 2.3.0
diff-cover 10.3.0 10.4.1
torch 2.12.1 2.13.0
torchvision 0.27.1 0.28.0

Updates fastapi from 0.138.0 to 0.140.8

Release notes

Sourced from fastapi's releases.

0.140.8

Fixes

0.140.6

Refactors

  • ⚡️ Avoid flattening dependencies for request parameters, mainly for OpenAPI. PR #16073 by @​tiangolo.

0.140.5

Refactors

0.140.4

Refactors

0.140.3

Refactors

0.140.2

Refactors

Internal

0.140.1

Refactors

  • ♻️ Update the lru_cache limit for dependencies to account for large apps. PR #16062 by @​tiangolo.

0.140.0

Refactors

Docs

... (truncated)

Commits

Updates uvicorn from 0.49.0 to 0.51.0

Release notes

Sourced from uvicorn's releases.

Version 0.51.0

What's Changed

Full Changelog: Kludex/uvicorn@0.50.2...0.51.0

Version 0.50.1

What's Changed

New Contributors

Full Changelog: Kludex/uvicorn@0.50.0...0.50.1

Version 0.50.0

What's Changed

Full Changelog: Kludex/uvicorn@0.49.0...0.50.0

Changelog

Sourced from uvicorn's changelog.

0.51.0 (July 8, 2026)

Added

  • Restart workers one at a time on SIGHUP, bringing each replacement up before retiring the old worker, so reloads no longer drop requests (#3025)

Removed

  • Remove colorama from the standard extra (#3027)

0.50.2 (July 6, 2026)

Fixed

  • Require websockets>=13.0, which the default websockets-sansio implementation needs (#3021)

0.50.1 (July 6, 2026)

Fixed

  • Split comma-separated Sec-WebSocket-Protocol values in the websockets-sansio implementation (#3019)

0.50.0 (July 4, 2026)

If you use WebSockets, note that --ws auto now picks the websockets-sansio implementation. You shouldn't need it, but you can pin --ws websockets to get the deprecated legacy one back.

Changed

  • Exit with the dedicated code 3 on any startup failure: app loading, socket bind and lifespan startup errors previously exited with a mix of 0, 1 and 3 (#3001)
  • Stop the multiprocess supervisor when a worker exits with code 3 instead of restarting it forever (#3001)
  • Default --ws auto to websockets-sansio when websockets is installed (#2985)
  • Skip the eager app import in the parent process with --reload or --workers, fixing a memory regression introduced in 0.47.0 (#3012)
  • Build a fresh asgi scope dict per request (#2977)
  • Cache the asgi scope sub-dict per connection (#2976)
  • Avoid copying single-frame WebSocket payloads in websockets-sansio (#2983)
  • Memoize trusted host checks in ProxyHeadersMiddleware (#2970)
  • Replace click.style with an internal ANSI style helper (#2981)

Deprecated

  • Deprecate the legacy websockets implementation; use websockets-sansio or wsproto instead (#2985)
Commits
  • e4d0b05 Version 0.51.0 (#3028)
  • 944e43d Remove colorama from the standard extra (#3027)
  • 2e78770 Restart workers with overlap on SIGHUP for near-zero-downtime reloads (#3025)
  • a1b570c Version 0.50.2 (#3022)
  • 83c7da7 Require websockets>=13.0 for the default sansio implementation (#3021)
  • b4d0116 Version 0.50.1 (#3020)
  • 2a9151d Split comma-separated Sec-WebSocket-Protocol values in the websockets-sansi...
  • 1bf3ab4 Cover the excluded-directory branch in FileFilter with a direct test (#3014)
  • 837b5f9 Deflake multiprocess, reload, and signal supervisor tests (#2975)
  • 21d2c16 Version 0.50.0 (#3013)
  • Additional commits viewable in compare view

Updates onnxruntime from 1.27.0 to 1.28.0

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.28.0

Announcements & Breaking Changes

  • Upgraded to ONNX 1.22.0 and protobuf 6.33.5 (#28754, #29606, #28967). Graph optimizer opset version checks were updated accordingly (#28966).
  • cuDNN and cuFFT are now optional at runtime for the CUDA EP, and nvrtc is no longer linked, which significantly reduces the required CUDA redistributable footprint (#29252, #29808, #29705, #29620).
  • An experimental C/C++ API surface was introduced. OrtModelPackageApi now lives in the experimental C API and may change in future releases (#28746, #29142, #28990).
  • Deprecated / removed:
    • SkipLayerNorm strict mode is deprecated (#29388).
    • The TensorRT fused causal attention kernels were removed from the CUDA EP (#29143).
    • The dynamic WGSL generator (duktape/Node) path was removed in favor of the Python wgsl-gen implementation (#29141, #28355).
    • CUDA_QUANT_PREPROCESS is off by default (#29687).
  • NPM packages are now published from the CUDA 13 pipeline (#28773).
  • The CUDA 12.8 package architecture list was refreshed for this release (#29711).

Security Fixes

Memory safety & input validation

  • Hardened the ORT FlatBuffer model loader against malformed buffers, and removed now-redundant table offset validation (#28186, #29068)
  • Fixed type confusion in raw-pointer bind_input causing an out-of-bounds write (#28839)
  • Fixed out-of-bounds pointer in TensorAt for sub-byte packed types (#28973)
  • Fixed arbitrary memory read, out-of-bounds dereference, and other OOB accesses in kernels (#28991, #29011, #29012, #29014)
  • Validated Col2Im inputs to prevent heap over-read (#28706)
  • Hardened CropAndResize against malformed crop_size tensors (#28766)
  • Validated BeamSearch vocab_size against logits width (#28774)
  • Fixed bounds in WhisperDecoderSubgraph::CreateInitialFeeds (#29239)
  • Validated SparseAttention CSR indices/key lengths and rejected zero-dimension block_row_indices (#29015, #29242)
  • Clamped derived sequence lengths and KV-cache index in CUDA GroupQueryAttention, and fixed a CPU GQA out-of-bounds read in the past-KV buffer (#29240, #29447)
  • Clamped 1D attention mask_index to valid bounds (#29449)
  • Validated MaxpoolWithMask kernel rank against input spatial rank (#29253)
  • Rejected CUDA BERT EmbedLayerNorm/SkipLayerNorm shapes exceeding 32-bit output indexing (#29264)
  • Fixed the optional-output guard in DecoderAttention/MultiHeadAttention shape inference and negative-axis handling in ExpandDims shape inference (#29268, #29448)
  • Fixed TreeEnsemble target id validation and added input validation to LinearClassifier (#29293, #29060)
  • Fixed DynamicQuantizeLSTM zero-point/scale validation typos (#29462)
  • Handled non-trivially-copyable types in Loop/Scan output concatenation (#29397)
  • Normalized bool tensor raw_data to {0, 1} on unpack (#29238)
  • Addressed hardening gaps in Resize, PadFusion, and LoRA handling (#28779, #28780, #28801)
  • Fixed unbounded lifetime on WithOutputTensor in the Rust bindings (#29251)

Integer overflow & allocation size

  • Guarded MlasConvPrepare working-buffer products and ConvTranspose pad computation with SafeInt (#29444, #29446)
  • Fixed signed-int overflow in SamplingState::Init that could cause a heap buffer overflow (#29443)
  • Hardened QMoE against integer overflow and partial K tiles (#29067)
  • Validated B/scales/zero-points shape in MatMulNBits::PrePack (#29445)
  • Pre-checked ConstantOfShape output size against the input initializer before constant folding (#28751)
  • Fixed integer overflow in RKNPU implicit bias allocation (#29249)
  • Fixed WebGPU out-of-bounds reads in Pad (int64/int32 truncation), Slice, and GatherBlockQuantized (#28721, #28704, #28718)

Supply chain & tooling

... (truncated)

Commits
  • da9b5e3 Fix Windows zip artifact to include .inc header files (#29874)
  • 45de2a8 Fix NuGet packaging to include .inc files alongside .h headers (#29868)
  • 0368187 ORT 1.28.0 release cherry-pick round 2 (#29821)
  • e1bbb64 ORT 1.28.0 release cherry-pick round 1 (#29771)
  • a06675e Fix web e2e (npm/vite) and Python DML CI pipelines (#29609)
  • c4f1961 Bump onnx to 1.22.0 and protobuf to 6.33.5 to fix security CVEs (#29606)
  • e0ad071 [CUDA] Enable native SM90, block_size=32, and fused bias for fpA_intB MatMulN...
  • a1fc71e [CUDA] Fix QMoE profiler cross-stream race and CUDA-graph-capture safety (#29...
  • 5eb4aee Fix CustomOp forward compatibility: cap version instead of rejecting (#29574)
  • 7a12371 adjusts conv kernel to use get/set by offset helpers (#29463)
  • Additional commits viewable in compare view

Updates pyroscope-io from 1.0.12 to 1.2.1

Updates mypy from 2.1.0 to 2.3.0

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next Release

Packaging changes

Mypy 2.3

We've just uploaded mypy 2.3.0 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

You can read the full documentation for this release on Read the Docs.

The Upcoming Switch to the New Native Parser

We are planning to enable the new native parser (--native-parser) by default soon. We recommend that you test the native parser in your projects and report any issues in the mypy issue tracker.

Mypyc Free-threading Memory Safety

Free-threaded Python builds that don't have the GIL require additional synchronization primitives or lock-free algorithms to ensure memory safety when there are race conditions (for example, when a thread reads a list item while another thread writes the same list item concurrently). This release greatly improves memory safety of free threading.

List operations are now memory-safe on free threaded Python builds, even in the presence of race conditions. This has some performance cost. For list-heavy workloads, using librt.vecs.vec instead of list is often significantly faster, but note that vec is not (and likely won't be) fully memory safe, and the user is expected to avoid race conditions. The newly introduced librt.threading.Lock helps with this. Using variable-length tuples can also be more efficient than lists, since tuples are immutable and don't require expensive synchronization to ensure memory safety.

Instance attribute access is also (mostly) memory safe now on free-threaded builds in the presence of race conditions. We are planning to fix the remaining unsafe cases in a future release.

Full list of changes:

  • Make attribute access memory safe on free-threaded builds (Jukka Lehtosalo, PR 21705)
  • Fix unsafe borrowing of instance attributes with free-threading (Jukka Lehtosalo, PR 21688)
  • Make list get/set item more memory safe on free-threaded builds (Jukka Lehtosalo, PR 21683)
  • Don't borrow list items on free-threaded builds (Jukka Lehtosalo, PR 21679)
  • Make multiple assignment from list memory-safe on free-threaded builds (Jukka Lehtosalo, PR 21684)

... (truncated)

Commits
  • 8aabf84 Drop +dev from version
  • 4d8ad2a Update changelog for 2.3 release (#21728)
  • 2c21546 [mypyc] Update documentation of race conditions under free threading (#21726)
  • a9f62a3 [mypyc] Make attribute access memory safe on free-threaded builds (#21705)
  • 0faa413 Use PYODIDE environment variable for Emscripten cross-compilation detection...
  • 3d75cdb [mypyc] Borrow final attributes more aggressively (#21702)
  • 24c237d [mypyc] Improve documentation of Final (#21713)
  • b5be217 [mypyc] Update free threading Python compatibility docs (#21711)
  • cbcb51a Narrow for frozendict membership check (#21709)
  • af2bc0f Sync typeshed (#21707)
  • Additional commits viewable in compare view

Updates diff-cover from 10.3.0 to 10.4.1

Release notes

Sourced from diff-cover's releases.

Version 10.4.1

What's Changed

Dependencies

Full Changelog: Bachmann1234/diff_cover@v10.4.0...v10.4.1

Version 10.4.0

What's Changed

Dependency bumps

New Contributors

Full Changelog: Bachmann1234/diff_cover@v10.3.0...v10.4.0

Changelog

Sourced from diff-cover's changelog.

7/23/2026 v10.4.1

7/21/2026 v10.4.0

  • Add --branch-coverage flag to diff-cover to treat partially covered branches in Cobertura XML reports as uncovered PR 608 Thanks @​mofr

05/30/2026 v10.3.0

  • Add --show-covered flag to highlight covered diff lines in HTML report PR 600 Thanks @​duxiaocheng

  • Update readme with cli flags PR 601 Thanks me

05/23/2026 v10.2.1

01/08/2026 v10.2.0

12/30/2025 v10.1.0

  • Add support for floating-point total percentage in reports PR 565 thanks @​tilaven

12/09/2025 v10.0.0

  • Remove python 3.9 support
  • Add python 3.14 support
  • Normalize exlude/include in pyproject.toml to support string or list

11/10/2025 v9.7.2

09/25/2025 v9.7.1

  • Revert the change to attempt to support ruff >=0.12.9 (@​YeeaahMan caught the error)

09/23/2025 v9.7.0

Some internal items

... (truncated)

Commits

Updates torch from 2.12.1 to 2.13.0

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 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.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

  • Stop building CPython 3.13t (free-threaded) binaries (#182951)

    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

    PyTorch 2.12:

    # cp313t (free-threaded 3.13) wheels were available
    python3.13t -m pip install torch

    PyTorch 2.13:

... (truncated)

Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Updates torchvision from 0.27.1 to 0.28.0

Release notes

Sourced from torchvision's releases.

TorchVision 0.28.0 Release

TorchVision 0.28 is out with some small enhancement and bug-fixes:

Enhancements

  • [transforms] Let wrap() preserve metadata for custom TVTensor subclasses (#9490)
  • [transforms] Allow strings for interpolation param in resize transforms (#9461)

Bug fixes

  • [transforms] Fix F.resize on tv_tensors.Mask to honor NEAREST_EXACT interpolation. Previously the interpolation argument was ignored for mask inputs (resize_mask hardcoded NEAREST), so NEAREST_EXACT silently produced plain NEAREST output (#9497)
  • [io] Fix a GIF decoder bug on malformed GIFs that could write outside the allocated tensor's memory (#9520)

Contributors

🎉 We're grateful for our community, which helps us improve Torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

Andrey Talman, Benson Ma, Jason Fried, Joanne Yun, Nicolas Hug

Commits

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…pdates

Bumps the minor-updates group with 8 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [fastapi](https://github.com/fastapi/fastapi) | `0.138.0` | `0.140.8` |
| [uvicorn](https://github.com/Kludex/uvicorn) | `0.49.0` | `0.51.0` |
| [onnxruntime](https://github.com/microsoft/onnxruntime) | `1.27.0` | `1.28.0` |
| pyroscope-io | `1.0.12` | `1.2.1` |
| [mypy](https://github.com/python/mypy) | `2.1.0` | `2.3.0` |
| [diff-cover](https://github.com/Bachmann1234/diff-cover) | `10.3.0` | `10.4.1` |
| [torch](https://github.com/pytorch/pytorch) | `2.12.1` | `2.13.0` |
| [torchvision](https://github.com/pytorch/vision) | `0.27.1` | `0.28.0` |



Updates `fastapi` from 0.138.0 to 0.140.8
- [Release notes](https://github.com/fastapi/fastapi/releases)
- [Commits](fastapi/fastapi@0.138.0...0.140.8)

Updates `uvicorn` from 0.49.0 to 0.51.0
- [Release notes](https://github.com/Kludex/uvicorn/releases)
- [Changelog](https://github.com/Kludex/uvicorn/blob/main/docs/release-notes.md)
- [Commits](Kludex/uvicorn@0.49.0...0.51.0)

Updates `onnxruntime` from 1.27.0 to 1.28.0
- [Release notes](https://github.com/microsoft/onnxruntime/releases)
- [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md)
- [Commits](microsoft/onnxruntime@v1.27.0...v1.28.0)

Updates `pyroscope-io` from 1.0.12 to 1.2.1

Updates `mypy` from 2.1.0 to 2.3.0
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v2.1.0...v2.3.0)

Updates `diff-cover` from 10.3.0 to 10.4.1
- [Release notes](https://github.com/Bachmann1234/diff-cover/releases)
- [Changelog](https://github.com/Bachmann1234/diff_cover/blob/main/CHANGELOG)
- [Commits](Bachmann1234/diff_cover@v10.3.0...v10.4.1)

Updates `torch` from 2.12.1 to 2.13.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.12.1...v2.13.0)

Updates `torchvision` from 0.27.1 to 0.28.0
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.27.1...v0.28.0)

---
updated-dependencies:
- dependency-name: fastapi
  dependency-version: 0.140.8
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: uvicorn
  dependency-version: 0.51.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: onnxruntime
  dependency-version: 1.28.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: pyroscope-io
  dependency-version: 1.2.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: mypy
  dependency-version: 2.3.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: diff-cover
  dependency-version: 10.4.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
- dependency-name: torchvision
  dependency-version: 0.28.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-updates
...

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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 31, 2026
@Teasel-Ian
Teasel-Ian merged commit 6bd61c4 into develop Aug 4, 2026
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@dependabot
dependabot Bot deleted the dependabot/pip/develop/minor-updates-445a7c4a05 branch August 4, 2026 17:24
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