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build(deps): bump the dependencies group across 1 directory with 13 updates #247

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@dependabot dependabot bot commented on behalf of github Nov 22, 2024 •
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Bumps the dependencies group with 13 updates in the / directory:

Package From To
granian 1.6.0 1.6.3
litestar 2.12.1 2.13.0
uvloop 0.20.0 0.21.0
pydantic-settings 2.5.2 2.6.1
ctranslate2 4.4.0 4.5.0
transformers 4.44.2 4.46.3
sentence-transformers 3.1.1 3.3.1
protobuf 5.28.2 5.28.3
pymupdf 1.24.10 1.24.14
redis 5.0.8 5.2.0
torch 2.4.1 2.5.1
pyright 1.1.382 1.1.389
ruff 0.6.7 0.8.0

Updates granian from 1.6.0 to 1.6.3

Release notes

Sourced from granian's releases.

Granian 1.6.3

Patch release

Changes since 1.6.2:

  • Fix a regression bug with websockets access logs on ASGI protocol

Granian 1.6.2

Patch release

Changes since 1.6.1:

  • Avoid to set method item in ASGI websocket scope
  • Bump dependencies

Granian 1.6.1

Patch release

Changes since 1.6.0:

  • Fix ASGI websocket flow errors in case of manual close without accept
  • Enable uvloop on Python 3.13
  • PGO wheels on Python 3.13
  • Bump dependencies
Commits

Updates litestar from 2.12.1 to 2.13.0

Release notes

Sourced from litestar's releases.

v2.13.0

Sponsors 🌟

Thanks to these incredible business sponsors:

And a huge 'Thank you!' to all sponsors across Polar.sh, OpenCollective and GitHub Sponsors!

What's changed

New contributors 🎉

Bugfixes 🐛

New features 🚀

Documentation

... (truncated)

Commits
  • 1b9d1c8 v2.13.0
  • 53c1473 Merge commit from fork
  • 7e56814 docs: add olzhasar as a contributor for bug, and doc (#3865)
  • a3631e2 fix(typing): Fix typing in websocket listener class (#3765)
  • 1b2ef9a docs: Added debug=True in Testing to display exception stack trace (#3860)
  • a2b8e48 feat: deprecate litestar.contrib.pydantic (#3852)
  • 98933a3 docs: fix the description of when to use the synchronous function (#3849)
  • 757a460 chore(deps): bump codecov/codecov-action from 4 to 5 (#3859)
  • ee90e96 docs: improve openapi/index.rst page (#3856)
  • 0fdbfa3 docs: Changing incorrect indentation in the code example "creating-middlewar...
  • Additional commits viewable in compare view

Updates uvloop from 0.20.0 to 0.21.0

Release notes

Sourced from uvloop's releases.

v0.21.0

Changes

  • Add cleanup_socket param on create_unix_server() (#623) (by @​fantix in d6114d2)

Fixes

v0.21.0beta1

No release notes provided.

Commits

Updates pydantic-settings from 2.5.2 to 2.6.1

Release notes

Sourced from pydantic-settings's releases.

v2.6.1

What's Changed

New Contributors

Full Changelog: pydantic/pydantic-settings@v2.6.0...v2.6.1

v2.6.0

What's Changed

New Contributors

Full Changelog: pydantic/pydantic-settings@v2.5.2...v2.6.0

Commits

Updates ctranslate2 from 4.4.0 to 4.5.0

Release notes

Sourced from ctranslate2's releases.

CTranslate2 4.5.0

Note: The Ctranslate2 Python package now supports CUDNN 9 and is no longer compatible with CUDNN 8.

New features

  • Support Phi3 (#1800)
  • Support Mistral Nemo (#1785)
  • Support Wav2Vec2Bert ASR (#1778)

Fixes and improvements

Changelog

Sourced from ctranslate2's changelog.

v4.5.0 (2024-10-22)

Note: The Ctranslate2 Python package now supports CUDNN 9 and is no longer compatible with CUDNN 8.

New features

  • Support Phi3 (#1800)
  • Support Mistral Nemo (#1785)
  • Support Wav2Vec2Bert ASR (#1778)

Fixes and improvements

Commits

Updates transformers from 4.44.2 to 4.46.3

Release notes

Sourced from transformers's releases.

Patch release v4.46.3

One small fix for FSDP + gradient accumulation loss issue!

Patch release v4.46.2

Mostly had to finish the gradient accumulation ! Thanks to @​techkang and @​Ryukijano 🤗

Patch release v4.46.1

Patch release v4.4.61

This is mostly for fx and onnx issues!

** Fix regression loading dtype #34409 by @​SunMarc ** LLaVa: latency issues #34460 by @​zucchini-nlp ** Fix pix2struct #34374 by @​IlyasMoutawwakil ** Fix onnx non-exposable inplace aten op #34376 by @​IlyasMoutawwakil ** Fix torch.fx issue related to the new loss_kwargs keyword argument #34380 by @​michaelbenayoun

Release v4.46.0

New model additions

Moshi

The Moshi model was proposed in Moshi: a speech-text foundation model for real-time dialogue by Alexandre Défossez, Laurent Mazaré, Manu Orsini, Amélie Royer, Patrick Pérez, Hervé Jégou, Edouard Grave and Neil Zeghidour.

Moshi is a speech-text foundation model that casts spoken dialogue as speech-to-speech generation. Starting from a text language model backbone, Moshi generates speech as tokens from the residual quantizer of a neural audio codec, while modeling separately its own speech and that of the user into parallel streams. This allows for the removal of explicit speaker turns, and the modeling of arbitrary conversational dynamics. Moshi also predicts time-aligned text tokens as a prefix to audio tokens. This “Inner Monologue” method significantly improves the linguistic quality of generated speech and provides streaming speech recognition and text-to-speech. As a result, Moshi is the first real-time full-duplex spoken large language model, with a theoretical latency of 160ms, 200ms in practice.

image

Zamba

Zamba-7B-v1 is a hybrid between state-space models (Specifically Mamba) and transformer, and was trained using

... (truncated)

Commits

Updates sentence-transformers from 3.1.1 to 3.3.1

Release notes

Sourced from sentence-transformers's releases.

v3.3.1 - Patch private model loading without environment variable

This patch release fixes a small issue with loading private models from Hugging Face using the token argument.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==3.3.1

Inference only, use one of:


pip install sentence-transformers==3.3.1
pip install sentence-transformers[onnx-gpu]==3.3.1
pip install sentence-transformers[onnx]==3.3.1
pip install sentence-transformers[openvino]==3.3.1

Details

If you're loading model under this scenario:

  • Your model is hosted on Hugging Face.
  • Your model is private.
  • You haven't set the HF_TOKEN environment variable via huggingface-cli login or some other approach.
  • You're passing the token argument to SentenceTransformer to load the model.

Then you may have encountered a crash in v3.3.0. This should be resolved now.

All Changes

Full Changelog: UKPLab/sentence-transformers@v3.3.0...v3.3.1

v3.2.1 - Patch CLIP loading, small ONNX fix, compatibility with other libraries

This patch release fixes some small bugs, such as related to loading CLIP models, automatic model card generation issues, and ensuring compatibility with third party libraries.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==3.2.1
Inference only, use one of:
pip install sentence-transformers==3.2.1
pip install sentence-transformers[onnx-gpu]==3.2.1
pip install sentence-transformers[onnx]==3.2.1
pip install sentence-transformers[openvino]==3.2.1

Fixing Loading non-Transformer models

In v3.2.0, a non-Transformer based model (e.g. CLIP) would not load correctly if the model was saved in the root of the model repository/directory. This has been resolved in #3007.

Throw error if StaticEmbedding-based model is finetuned with incompatible losses

The following losses are not compatible with StaticEmbedding-based models:

... (truncated)

Commits
  • f6922f0 Merge branch 'master' into v3.3-release, increment to v3.3.1
  • e156f38 [Fix] Resolve loading private Transformer model in version 3.3.0 (#3058)
  • e28f97d [docs] Fix the prompt link to the training script (#3060)
  • c1775a6 Increment the development version
  • ea49e01 Release v3.3.0
  • 6347b75 Moved Model Card Callback init in Trainer to a separate function (#3047)
  • 7ede83b [enh] Add Support for multiple adapters on Transformers-based models (#3046)
  • 6baee57 [fix] Fix model loading inconsistency after Peft training by using PeftModel ...
  • 7be3eac [feat] Trainer with prompts and prompt masking (#2964)
  • 15d3898 [docs] Add some missing docs for include_prompt in Pooling (#3042)
  • Additional commits viewable in compare view

Updates protobuf from 5.28.2 to 5.28.3

Commits

Updates pymupdf from 1.24.10 to 1.24.14

Release notes

Sourced from pymupdf's releases.

PyMuPDF-1.24.14 released

PyMuPDF-1.24.14 has been released.

Wheels for Windows, Linux and MacOS, and the sdist, are available on pypi.org and can be installed in the usual way, for example:

python -m pip install --upgrade pymupdf

[Linux-aarch64 wheels will be built and uploaded later.]

Changes in version 1.24.14 (2024-11-19)

  • Use MuPDF-1.24.11.

  • Fixed issues:

  • Other:

    • Ensure that words from Page.get_text() never contain RTL/LTR char mixtures.
    • Fix building with system MuPDF.
    • Add dot product for points and vectors.

PyMuPDF-1.24.13 released

PyMuPDF-1.24.13 has been released.

Wheels for Windows, Linux and MacOS, and the sdist, are available on pypi.org and can be installed in the usual way, for example:

python -m pip install --upgrade pymupdf

[Linux-aarch64 wheels will be built and uploaded later.]

Changes in version 1.24.13 (2024-10-29)

... (truncated)

Changelog

Sourced from pymupdf's changelog.

Change Log

Changes in version 1.24.14 (2024-11-19)

  • Use MuPDF-1.24.11.

  • Fixed issues:

    • Fixed 3448 <https://github.com/pymupdf/PyMuPDF/issues/3448>_: get_pixmap function removes the table and leaves just the content behind
    • Fixed 3758 <https://github.com/pymupdf/PyMuPDF/issues/3758>_: Got "malloc(): unaligned tcache chunk detected Aborted (core dumped)" while using add_redact_annot/apply_redactions
    • Fixed 3813 <https://github.com/pymupdf/PyMuPDF/issues/3813>_: Stories: Ordered list count broken with nested unordered list
    • Fixed 3933 <https://github.com/pymupdf/PyMuPDF/issues/3933>_: font.valid_codepoints() - malfunction
    • Fixed 4018 <https://github.com/pymupdf/PyMuPDF/issues/4018>_: PyMuPDF hangs when iterating over zero page PDF pages backwards
    • Fixed 4043 <https://github.com/pymupdf/PyMuPDF/issues/4043>_: fullcopypage bug
    • Fixed 4047 <https://github.com/pymupdf/PyMuPDF/issues/4047>_: Segmentation Fault in add_redact_annot
    • Fixed 4050 <https://github.com/pymupdf/PyMuPDF/issues/4050>_: Content of dict returned by doc.embfile_info() does not fit to documentation

  • Other:

    • Ensure that words from Page.get_text() never contain RTL/LTR char mixtures.
    • Fix building with system MuPDF.
    • Add dot product for points and vectors.

Changes in version 1.24.13 (2024-10-29)

  • Fixed issues:

    • Fixed 3848 <https://github.com/pymupdf/PyMuPDF/issues/3848>_: Piximap program crash
    • Fixed 3950 <https://github.com/pymupdf/PyMuPDF/issues/3950>_: Unable to consistently extract field labels from PDFs
    • Fixed 3981 <https://github.com/pymupdf/PyMuPDF/issues/3981>_: PyMuPDF 1.24.12 with pyinstaller throws error.
    • Fixed 3994 <https://github.com/pymupdf/PyMuPDF/issues/3994>_: pix.color_topusage raise Segmentation fault (core dumped)

Changes in version 1.24.12 (2024-10-21)

  • Fixed issues:

    • Fixed 3914 <https://github.com/pymupdf/PyMuPDF/issues/3914>_: Ability to print MuPDF errors to logging instead of stdout
    • Fixed 3916 <https://github.com/pymupdf/PyMuPDF/issues/3916>_: insert_htmlbox error: int too large to convert to float
    • Fixed 3950 <https://github.com/pymupdf/PyMuPDF/issues/3950>_: Unable to consistently extract field labels from PDFs

  • Supported Python versions are now 3.9-3.13.

... (truncated)

Commits
  • ebabd6f setup.py: incremented default mupdf version to 1.24.11.
  • a746d2c setup.py: use {version_b} to calculate mupdf download URL instead of hard-cod...
  • b918500 Updated version numbers etc for release.
  • a569a3f tests/: disable two long-running tests if running under valgrind.
  • 0e86f0b scripts/test.py: minor improvements to docs.
  • fa13f22 scripts/: default to not installing system packages such as valgrind by default.
  • 6d780c4 changes.txt: updated with all fixes when built with MuPDF-1.24.11.
  • 961552c tests/test_embeddedfiles.py: added test_4050().
  • 78bf986 src/init.py tests/test_font.py: address #3933 with mupdf-1.24.11.
  • 1667ec0 tests/: update two tests to expect fixed behaviour with mupdf-1.24.11.
  • Additional commits viewable in compare view

Updates redis from 5.0.8 to 5.2.0

Release notes

Sourced from redis's releases.

5.2.0

Changes

🚀 New Features

  • Extend AggregateRequest with scorer argument (#3409)

🧰 Maintenance

  • Pin pytest-profiling version due to the bug (#3417)

Contributors

We'd like to thank all the contributors who worked on this release!

@​uglide @​rbs333 @​vladvildanov @​dwdougherty

5.1.1

Changes

5.1.1

🐛 Bug Fixes

  • Fixed return type for Redis Set commands to be Set instead of List (#3399)
  • Fixed bug with partial Hiredis availability (#3400)
  • Fixed bug with async pipeline and cluster fails with some commands (#3402)

5.1.0

🚀 New Features

How to start with Client-side caching?

  1. Install redis-py 5.1.0
  2. Use the following code snippet:
r = Redis(protocol=3, cache_config=CacheConfig())
cache = r.get_cache()
r.set("foo", "bar")
get key from redis and save in local cache
print(r.get("foo"))
get key from local cache
print(cache.get(CacheKey(command="GET", redis_keys=("foo",))).cache_value)
change key in redis (cause invalidation)
r.set("foo", "barbar")
Retrieves a new value from server and cache it
print(r.get("foo"))
Make sure that new value was cached
</tr></table>

... (truncated)

Commits

Updates torch from 2.4.1 to 2.5.1

Release notes

Sourced from torch's releases.

PyTorch 2.5.1: bug fix release

This release is meant to fix the following regressions:

Besides the regression fixes, the release includes several documentation updates.

See release tracker pytorch/pytorch#132400 for additional information.

PyTorch 2.5.0 Release, SDPA CuDNN backend, Flex Attention

PyTorch 2.5 Release Notes

  • Highlights
  • Backwards Incompatible Change
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation
  • Developers
  • Security

Highlights

We are excited to announce the release of PyTorch® 2.5! This release features a new CuDNN backend for SDPA, enabling speedups by default for users of SDPA on H100s or newer GPUs. As well, regional compilation of torch.compile offers a way to reduce the cold start up time for torch.compile by allowing users to compile a repeated nn.Module (e.g. a transformer layer in LLM) without recompilations. Finally, TorchInductor CPP backend offers solid performance speedup with numerous enhancements like FP16 support, CPP wrapper, AOT-Inductor mode, and max-autotune mode. This release is composed of 4095 commits from 504 contributors since PyTorch 2.4. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.5. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page. As well, please check out our new ecosystem projects releases with TorchRec and TorchFix.

Description has been truncated

Beta Prototype
CuDNN backend for SDPA FlexAttention
torch.compile regional compilation without recompilations Compiled Autograd
TorchDynamo added support for exception handling & MutableMapping types Flight Recorder
TorchInductor CPU backend optimization Max-autotune Support on CPU with GEMM Template
TorchInductor on Windows
FP16 support on CPU path for both eager mode and TorchInductor CPP backend

@dependabot
build(deps): bump the dependencies group across 1 directory with 13 u…
0e819bc 
…pdates

Bumps the dependencies group with 13 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [granian](https://github.com/emmett-framework/granian) | `1.6.0` | `1.6.3` |
| [litestar](https://github.com/litestar-org/litestar) | `2.12.1` | `2.13.0` |
| [uvloop](https://github.com/MagicStack/uvloop) | `0.20.0` | `0.21.0` |
| [pydantic-settings](https://github.com/pydantic/pydantic-settings) | `2.5.2` | `2.6.1` |
| [ctranslate2](https://github.com/OpenNMT/CTranslate2) | `4.4.0` | `4.5.0` |
| [transformers](https://github.com/huggingface/transformers) | `4.44.2` | `4.46.3` |
| [sentence-transformers](https://github.com/UKPLab/sentence-transformers) | `3.1.1` | `3.3.1` |
| [protobuf](https://github.com/protocolbuffers/protobuf) | `5.28.2` | `5.28.3` |
| [pymupdf](https://github.com/pymupdf/pymupdf) | `1.24.10` | `1.24.14` |
| [redis](https://github.com/redis/redis-py) | `5.0.8` | `5.2.0` |
| [torch](https://github.com/pytorch/pytorch) | `2.4.1` | `2.5.1` |
| [pyright](https://github.com/RobertCraigie/pyright-python) | `1.1.382` | `1.1.389` |
| [ruff](https://github.com/astral-sh/ruff) | `0.6.7` | `0.8.0` |



Updates `granian` from 1.6.0 to 1.6.3
- [Release notes](https://github.com/emmett-framework/granian/releases)
- [Commits](emmett-framework/granian@v1.6.0...v1.6.3)

Updates `litestar` from 2.12.1 to 2.13.0
- [Release notes](https://github.com/litestar-org/litestar/releases)
- [Commits](litestar-org/litestar@v2.12.1...v2.13.0)

Updates `uvloop` from 0.20.0 to 0.21.0
- [Release notes](https://github.com/MagicStack/uvloop/releases)
- [Commits](MagicStack/uvloop@v0.20.0...v0.21.0)

Updates `pydantic-settings` from 2.5.2 to 2.6.1
- [Release notes](https://github.com/pydantic/pydantic-settings/releases)
- [Commits](pydantic/pydantic-settings@v2.5.2...v2.6.1)

Updates `ctranslate2` from 4.4.0 to 4.5.0
- [Release notes](https://github.com/OpenNMT/CTranslate2/releases)
- [Changelog](https://github.com/OpenNMT/CTranslate2/blob/master/CHANGELOG.md)
- [Commits](OpenNMT/CTranslate2@v4.4.0...v4.5.0)

Updates `transformers` from 4.44.2 to 4.46.3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.44.2...v4.46.3)

Updates `sentence-transformers` from 3.1.1 to 3.3.1
- [Release notes](https://github.com/UKPLab/sentence-transformers/releases)
- [Commits](UKPLab/sentence-transformers@v3.1.1...v3.3.1)

Updates `protobuf` from 5.28.2 to 5.28.3
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/protobuf_release.bzl)
- [Commits](protocolbuffers/protobuf@v5.28.2...v5.28.3)

Updates `pymupdf` from 1.24.10 to 1.24.14
- [Release notes](https://github.com/pymupdf/pymupdf/releases)
- [Changelog](https://github.com/pymupdf/PyMuPDF/blob/main/changes.txt)
- [Commits](pymupdf/PyMuPDF@1.24.10...1.24.14)

Updates `redis` from 5.0.8 to 5.2.0
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](redis/redis-py@v5.0.8...v5.2.0)

Updates `torch` from 2.4.1 to 2.5.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.1...v2.5.1)

Updates `pyright` from 1.1.382 to 1.1.389
- [Release notes](https://github.com/RobertCraigie/pyright-python/releases)
- [Commits](RobertCraigie/pyright-python@v1.1.382...v1.1.389)

Updates `ruff` from 0.6.7 to 0.8.0
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.6.7...0.8.0)

---
updated-dependencies:
- dependency-name: granian
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: litestar
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: uvloop
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: pydantic-settings
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: ctranslate2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: sentence-transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: protobuf
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: pymupdf
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: redis
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: pyright
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: dependencies
...

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 Nov 22, 2024
@dependabot dependabot bot mentioned this pull request Nov 22, 2024
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dependabot bot commented on behalf of github Nov 25, 2024

Superseded by #248.

@dependabot dependabot bot closed this Nov 25, 2024
@dependabot dependabot bot deleted the dependabot/pip/dependencies-3079f657f0 branch November 25, 2024 10:45
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