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build(deps): bump the dependencies group across 1 directory with 12 updates #241

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@dependabot dependabot bot commented on behalf of github Nov 12, 2024 •
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Bumps the dependencies group with 12 updates in the / directory:

Package From To
granian 1.6.0 1.6.3
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 4.46.2
sentence-transformers 3.1.1 3.3.0
protobuf 5.28.2 5.28.3
pymupdf 1.24.10 1.24.13
redis 5.0.8 5.2.0
torch 2.4.1 2.5.1
pyright 1.1.382 1.1.388
ruff 0.6.7 0.7.3

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 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 4.46.2

Release notes

Sourced from transformers's releases.

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 next-token prediction. Zamba uses a shared transformer layer after every 6 mamba blocks. It uses the Mistral v0.1 tokenizer. We came to this architecture after a series of ablations at small scales. Zamba-7B-v1 was pre-trained on 1T tokens of text and code data.

... (truncated)

Commits

Updates sentence-transformers from 3.1.1 to 3.3.0

Release notes

Sourced from sentence-transformers's releases.

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:

  • CachedGISTEmbedLoss
  • CachedMultipleNegativesRankingLoss
  • CachedMultipleNegativesSymmetricRankingLoss
  • DenoisingAutoEncoderLoss
  • GISTEmbedLoss

An error is now thrown when one of these are used with a StaticEmbedding-based model. I recommend using MultipleNegativesRankingLoss to finetune these models, e.g. as in https://huggingface.co/tomaarsen/static-bert-uncased-gooaq. Note: to get good performance, you must use much higher learning rates than otherwise. In my experiments, 2e-1 worked well.

Patch ONNX model when the model uses output_hidden_states

For example, this script used to fail, but passes now:

from sentence_transformers import SentenceTransformer
model = SentenceTransformer(
"distiluse-base-multilingual-cased",
backend="onnx",
model_kwargs={"provider": "CPUExecutionProvider"},
)
sentences = ["This is an example sentence", "Each sentence is converted"]
embeddings = model.encode(sentences)
print(embeddings.shape)

All changes

... (truncated)

Commits
  • 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)
  • 5bccba3 [chore] If Transformers 4.46.0, use processing_class instead of tokenizer w...
  • cb81136 [fix] Fix loading pre-exported OV/ONNX model if export=False (#3036)
  • 7d99ca9 [tests] Remove evaluation_steps from model.fit test without evaluator (#3037)
  • 1cb196a [deprecate] Drop Python 3.8 support due to EOL (#3033)
  • Additional commits viewable in compare view

Updates protobuf from 5.28.2 to 5.28.3

Commits

Updates pymupdf from 1.24.10 to 1.24.13

Release notes

Sourced from pymupdf's releases.

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)

PyMuPDF-1.24.12 released

PyMuPDF-1.24.12 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 1.24.12 (2024-10-21)

PyMuPDF-1.24.11 released

PyMuPDF-1.24.11 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:

... (truncated)

Changelog

Sourced from pymupdf's changelog.

Change Log

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.

Changes in version 1.24.11 (2024-10-03)

  • Use MuPDF-1.24.10.

  • Fixed issues:

    • Fixed 3624 <https://github.com/pymupdf/PyMuPDF/issues/3624>_: Pdf file transform to image have a black block
    • Fixed 3859 <https://github.com/pymupdf/PyMuPDF/issues/3859>_: doc.need_appearances() fails with "AttributeError: module 'pymupdf.mupdf' has no attribute 'PDF_TRUE' "
    • Fixed 3863 <https://github.com/pymupdf/PyMuPDF/issues/3863>_: apply_redactions() does not work as expected
    • Fixed 3905 <https://github.com/pymupdf/PyMuPDF/issues/3905>_: open stream can raise a FzErrorFormat error instead of FileDataError

  • Wheels now use the Python Stable ABI:

    • There is one PyMuPDF wheel for each platform.
    • Each wheel works with all supported Python versions.
    • Each wheel is built using the oldest supported Python version (currently 3.8).
    • There is no PyMuPDFb wheel.

  • Other:

    • Improvements to get_text_words() with sort=True.

... (truncated)

Commits
  • 214616d Update changelog, version numbers and dates for release of 1.24.13.
  • 033314d scripts/test.py: allow specification of pyodide-build version.
  • 576a576 tests/: added test_3994().
  • ebdb8ba Document args and return values
  • 43a95cb Only fallback mode needs the fontTools package
  • 9c5fa84 Documentation: Update _delXmlMetadata to del_xml_metadata
  • 7d1dd31 tests/test_annots.py: added test_3758().
  • 295116f scripts/test.py: added control over extra valgrind args.
  • 7bb66d3 src/init.py tests/: cope if sys.stdout is None.
  • d92e85c setup.py: also add MuPDF C++ headers to mupdf-devel/include.
  • 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.

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
Autoload Device Extension
Enhanced Intel GPU support

*To see a full list of public feature submissions click here.

BETA FEATURES

[Beta] CuDNN backend for SDPA

The cuDNN "Fused Flash Attention" backend was landed for torch.nn.functional.scaled_dot_product_attention. On NVIDIA H100 GPUs this can provide up to 75% speed-up over FlashAttentionV2. This speedup is enabled by default for all users of SDPA on H100 or newer GPUs.

[Beta] torch.compile regional compilation without recompilations

Regional compilation without recompilations, via torch._dynamo.config.inline_inbuilt_nn_modules which default to True in 2.5+. This option allows users to compile a repeated nn.Module (e.g. a transformer layer in LLM) without recompilations. Compared to compiling the full model, this option can result in smaller compilation latencies with 1%-5% performance degradation compared to full model compilation.

... (truncated)

Commits

Updates pyright from 1.1.382 to 1.1.388

Release notes

Sourced from pyright's releases.

v1.1.388

No release notes provided.

v1.1.387

No release notes provided.

v1.1.386

No release notes provided.

v1.1.385

No release notes provided.

v1.1.384

No release notes provided.

v1.1.383

No release notes provided.

v1.1.382.post1

No release notes provided.

v1.1.382.post0

This release fixes a regression with nodeenv support in the v1.1.382 release

Commits

Updates ruff from 0.6.7 to 0.7.3

Release notes

Sourced from ruff's releases.

0.7.3

Release Notes

Preview features

  • Formatter: Disallow single-line implicit concatenated strings (#13928)
  • [flake8-pyi] Include all Python file types for PYI006 and PYI066 (#14059)
  • [flake8-simplify] Implement split-of-static-string (SIM905) (#14008)
  • [refurb] Implement subclass-builtin (FURB189) (#14105)
  • [ruff] Improve diagnostic messages and docs (RUF031, RUF032, RUF034) (#14068)

Rule changes

  • Detect items that hash to same value in duplicate sets (B033, PLC0208) (#14064)
  • [eradicate] Better detection of IntelliJ language injection comments (ERA001) (#14094)
  • [flake8-pyi] Add autofix for docstring-in-stub (PYI021) (#14150)
  • [flake8-pyi] Update duplicate-literal-member (PYI062) to alawys provide an autofix (#14188)
  • [pyflakes] Detect items that hash to same value in duplicate dictionaries (F601) (#14065)
  • [ruff] Fix false positive for decorators (RUF028) (#14061)

Bug fixes

  • Avoid parsing joint rule codes as distinct codes in # noqa (#12809)
  • [eradicate] ignore # language= in commented-out-code rule (ERA001) (#14069)
  • [flake8-bugbear] - do not run mutable-argument-default on stubs (B006) (#14058)
  • [flake8-builtins] Skip lambda expressions in builtin-argument-shadowing (A002) (#14144)
  • [flake8-comprehension] Also remove trailing comma while fixing C409 and C419 (#14097)
  • [flake8-simplify] Allow open without context manager in return statement (SIM115) (#14066)
  • [pylint] Respect hash-equivalent literals in iteration-over-set (PLC0208) (#14063)
  • [pylint] Update known dunder methods for Python 3.13 (PLW3201) (#14146)
  • [pyupgrade] - ignore kwarg unpacking for UP044 (#14053)...

    Description has been truncated

@dependabot
build(deps): bump the dependencies group across 1 directory with 12 u…
4af0ed5 
…pdates

Bumps the dependencies group with 12 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [granian](https://github.com/emmett-framework/granian) | `1.6.0` | `1.6.3` |
| [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` | `4.46.2` |
| [sentence-transformers](https://github.com/UKPLab/sentence-transformers) | `3.1.1` | `3.3.0` |
| [protobuf](https://github.com/protocolbuffers/protobuf) | `5.28.2` | `5.28.3` |
| [pymupdf](https://github.com/pymupdf/pymupdf) | `1.24.10` | `1.24.13` |
| [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` | `1.1.388` |
| [ruff](https://github.com/astral-sh/ruff) | `0.6.7` | `0.7.3` |



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 `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 4.46.2
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.44.2...v4.46.2)

Updates `sentence-transformers` from 3.1.1 to 3.3.0
- [Release notes](https://github.com/UKPLab/sentence-transformers/releases)
- [Commits](UKPLab/sentence-transformers@v3.1.1...v3.3.0)

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 1.24.13
- [Release notes](https://github.com/pymupdf/pymupdf/releases)
- [Changelog](https://github.com/pymupdf/PyMuPDF/blob/main/changes.txt)
- [Commits](pymupdf/PyMuPDF@1.24.10...1.24.13)

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 1.1.388
- [Release notes](https://github.com/RobertCraigie/pyright-python/releases)
- [Commits](RobertCraigie/pyright-python@v1.1.382...v1.1.388)

Updates `ruff` from 0.6.7 to 0.7.3
- [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...0.7.3)

---
updated-dependencies:
- dependency-name: granian
  dependency-type: direct:production
  update-type: version-update:semver-patch
  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 12, 2024
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dependabot bot commented on behalf of github Nov 14, 2024

Superseded by #242.

@dependabot dependabot bot closed this Nov 14, 2024
@dependabot dependabot bot deleted the dependabot/pip/dependencies-dd0f2c16dd branch November 14, 2024 10:51
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