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build(deps): bump the dependencies group across 1 directory with 12 updates #233

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build(deps): bump the dependencies group across 1 directory with 12 updates #233

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@dependabot dependabot bot commented on behalf of github Oct 25, 2024 •
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Bumps the dependencies group with 12 updates in the / directory:

Package From To
granian 1.6.0 1.6.1
uvloop 0.20.0 0.21.0
pydantic-settings 2.5.2 2.6.0
ctranslate2 4.4.0 4.5.0
transformers 4.44.2 4.46.0
sentence-transformers 3.1.1 3.2.1
protobuf 5.28.2 5.28.3
pymupdf 1.24.10 1.24.12
redis 5.0.8 5.2.0
torch 2.4.1 2.5.0
pyright 1.1.382 1.1.386
ruff 0.6.7 0.7.1

Updates granian from 1.6.0 to 1.6.1

Release notes

Sourced from granian's releases.

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 2.6.0

Release notes

Sourced from pydantic-settings's releases.

v2.6.0

What's Changed

New Contributors

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

Commits
  • eeea989 Prepare release 2.6.0 (#444)
  • a72fa73 Fix bug in dotenv source when there is env with and without prefix (#440)
  • d2e498a Add support for suppressing fields from CLI help. (#436)
  • 0d605d0 Update nested model partial update docs example. (#433)
  • 8f7653c Put tests for non-default sources in separate files (#429)
  • f3a25f2 Fix a regression in dotenv optional nested field (#423)
  • 76ba2c6 Fix context not passed to field validators bug (#417)
  • 84cab2b Add CLI App Support (#389)
  • fdd666b Fix nested model AliasChoices in validation alias (#411)
  • 9b73e92 Add cli_flag_prefix_char config option. (#418)
  • Additional commits viewable in compare view

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 4.46.0

Release notes

Sourced from transformers's releases.

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.

GLM

The GLM Model was proposed in ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools by GLM Team, THUDM & ZhipuAI.

The abstract from the paper starts with the following:

We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B.

image

Idefics 3

The Idefics3 model was proposed in Building and better understanding vision-language models: insights and future directions by Hugo Laurençon, Andrés Marafioti, Victor Sanh, and Léo Tronchon.

... (truncated)

Commits

Updates sentence-transformers from 3.1.1 to 3.2.1

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
  • dd76c03 Merge branch 'master' into v3.2-release; version to 3.2.1
  • f286d9f [fix] Prevent IndexError if output_hidden_states & ONNX (#3008)
  • a028b58 [warn] Throw a warning if compute_metrics is set, as it's not used (#3002)
  • dc79f13 Fix cache_dir issue with loading CLIPModel (#3007)
  • 29535eb [fix] Added model2vec import compatible with current and newer version (#2992)
  • 0e59af6 [model cards] Prevent crash on generating widgets if dataset column is empt...
  • 5e1a7a4 [enh] Add support for large_string in model card create (#2999)
  • 2fa3ed4 Fix copy-paste error in a comment
  • 1802076 [fix] Fix semantic_search_usearch with 'binary' (#2989)
  • 72d5649 [enh] Throw error if StaticEmbedding-based model is trained with incompatib...
  • Additional commits viewable in compare view

Updates protobuf from 5.28.2 to 5.28.3

Commits

Updates pymupdf from 1.24.10 to 1.24.12

Release notes

Sourced from pymupdf's releases.

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:

python -m pip install --upgrade pymupdf

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

Changes in version 1.24.11 (2024-10-03)

  • Use MuPDF-1.24.10.

  • Fixed issues:

  • Wheels now use the Python Stable ABI:

    • There is one PyMuPDF wheel for each platform.

... (truncated)

Changelog

Sourced from pymupdf's changelog.

Change Log

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.
    • Tests now always get the latest versions of required Python packages.
    • Removed dependency on setuptools.
    • Added item to PyMuPDF-1.24.10 changes below - fix of #3630.

Changes in version 1.24.10 (2024-09-02)

  • Use MuPDF-1.24.9.

  • Fixed issues:

... (truncated)

Commits
  • 96bd921 changes.txt: fixed incorrect list of supported Python versions - is 3.9-3.13.
  • 2be27b2 Update changelog, version numbers and dates for release of 1.24.12.
  • 73433bc setup.py scripts/test.py: fix for manual invocation of actions.
  • 98ade1c setup.py: fix incorrect assert of PYMUPDF_SETUP_PY_LIMITED_API.
  • 9b0a823 tests/test_general.py:test_use_python_logging(): avoid spurious test failure.
  • ff9bc41 src/init.py tests/test_font.py: use new mupdf.fz_enumerate_font_cmap2().
  • 3b8df5b pipcl.py: fix doctest tests.
  • ab1e600 pipcl.py:build_extension(): fix handling of <libs> on windows.
  • 3c465cd src/init.py tests/: prepare for MuPDF fix for Font.valid_codepoints().
  • 8072318 docs/: improve docs for messages, errors and warnings.
  • 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 2.5.0

Release notes

Sourced from torch's releases.

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.

See the tutorial for more information.

[Beta] TorchInductor CPU backend optimization

This feature advances Inductor’s CPU backend optimization, including CPP backend code generation and FX fusions with customized CPU kernels. The Inductor CPU backend supports vectorization of common data types and all Inductor IR operations, along with the static and symbolic shapes. It is compatible with both Linux and Windows OS and supports the default Python wrapper, the CPP wrapper, and AOT-Inductor mode.

Additionally, it extends the max-autotune mode of the GEMM template (prototyped in 2.5), offering further performance gains. The backend supports various FX fusions, lowering to customized kernels such as oneDNN for Linear/Conv operations and SDPA. The Inductor CPU backend consistently achieves performance speedups across three benchmark suites—TorchBench, Hugging Face, and timms—outperforming eager mode in 97.5% of the 193 models tested.

PROTOTYPE FEATURES

[Prototype] FlexAttention

We've introduced a flexible API that enables implementing various attention mechanisms such as Sliding Window, Causal Mask, and PrefixLM with just a few lines of idiomatic PyTorch code. This API leverages torch.compile to generate a fused FlashAttention kernel, which eliminates extra memory allocation and achieves performance comparable to handwritten implementations. Additionally, we automatically generate the backwards pass using PyTorch's autograd machinery. Furthermore, our API can take advantage of sparsity in the attention mask, resulting in significant improvements over standard attention implementations.

For more information and examples, please refer to the official blog post and Attention Gym.

... (truncated)

Commits
  • 32f585d [Release only] use triton 3.1.x from pypi (#137895)
  • 417a076 [split build] move periodic split builds into own concurrency group (#135510)...
  • 119e734 [RELEASE-ONLY CHANGES] Fix dependency on filesystem on Linux (#137242)
  • 783a6a4 [MPS] Add regression test for fft.fftfreq (#137215)
  • 5375201 [MPS] Add missing dispatch to rshift.Tensor (#137212)
  • 1de132e [MPS] Fix 5D+ reductions over negative dimentions (#137211)
  • 0b1b609 [NCCL] Don't override waitUntilInitialized's setting of `comm->initialized_...
  • 0b45af9 Fix addmm silent correctness on aarch64 (#137208)
  • 1a0b166 [ONNX] Add assertion nodes to ignoring list (#137214)
  • 3a541ef Clarify that libtorch API is C++17 compatible (#137206)
  • Additional commits viewable in compare view

Updates pyright from 1.1.382 to 1.1.386

Release notes

Sourced from pyright's releases.

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 0.7.1

Release notes

Sourced from ruff's releases.

0.7.1

Release Notes

Preview features

  • Fix E221 and E222 to flag missing or extra whitespace around == operator (#13890)
  • Formatter: Alternate quotes for strings inside f-strings in preview (#13860)
  • Formatter: Join implicit concatenated strings when they fit on a line (#13663)
  • [pylint] Restrict iteration-over-set to only work on sets of literals (PLC0208) (#13731)

Rule changes

  • [flake8-type-checking] Support auto-quoting when annotations contain quotes (#11811)

Server

  • Avoid indexing the workspace for single-file mode (#13770)

Bug fixes

  • Make ARG002 compatible with EM101 when raising NotImplementedError (#13714)

Other changes

  • Introduce more Docker tags for Ruff (similar to uv) (#13274)

Contributors

Install ruff 0.7.1

Install prebuilt binaries via shell script

... (truncated)

Changelog

Sourced from ruff's changelog.

0.7.1

Preview features

  • Fix E221 and E222 to flag missing or extra whitespace around == operator (#13890)
  • Formatter: Alternate quotes for strings inside f-strings in preview (#13860)
  • Formatter: Join implicit concatenated strings when they fit on a line (#13663)
  • [pylint] Restrict iteration-over-set to only work on sets of literals (PLC0208) (#13731)

Rule changes

  • [flake8-type-checking] Support auto-quoting when annotations contain quotes (#11811)

Server

  • Avoid indexing the workspace for single-file mode (#13770)

Bug fixes

  • Make ARG002 compatible with EM101 when raising NotImplementedError (#13714)

Other changes

  • Introduce more Docker tags for Ruff (similar to uv) (#13274)

0.7.0

Check out the blog post for a migration guide and overview of the changes!

Breaking changes

  • The pytest rules PT001 and PT023 now default to omitting the decorator parentheses when there are no arguments (#12838, #13292). This was a change that we attempted to make in Ruff v0.6.0, but only partially made due to an error on our part. See the blog post for more details.
  • The useless-try-except rule (in our tryceratops category) has been recoded from TRY302 to TRY203 (#13502). This ensures Ruff's code is consistent with the same rule in the tryceratops linter.
  • The lint.allow-unused-imports setting has been removed (#13677). Use lint.pyflakes.allow-unused-imports instead.

Formatter preview style

  • Normalize implicit concatenated f-string quotes per part (#13539)

Preview linter features

  • [refurb] implement hardcoded-string-charset (FURB156) (#13530)
  • [refurb] Count codepoints not bytes for slice-to-remove-prefix-or-suffix (FURB188) (#13631)

... (truncated)

Commits
  • 337af83 Bump version to 0.7.1 (#13913)
  • 113ce84 Fix normalize arguments when fstring_formatting is disabled (

@dependabot
build(deps): bump the dependencies group across 1 directory with 12 u…
4cfa24d 
…pdates

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

| Package | From | To |
| --- | --- | --- |
| [granian](https://github.com/emmett-framework/granian) | `1.6.0` | `1.6.1` |
| [uvloop](https://github.com/MagicStack/uvloop) | `0.20.0` | `0.21.0` |
| [pydantic-settings](https://github.com/pydantic/pydantic-settings) | `2.5.2` | `2.6.0` |
| [ctranslate2](https://github.com/OpenNMT/CTranslate2) | `4.4.0` | `4.5.0` |
| [transformers](https://github.com/huggingface/transformers) | `4.44.2` | `4.46.0` |
| [sentence-transformers](https://github.com/UKPLab/sentence-transformers) | `3.1.1` | `3.2.1` |
| [protobuf](https://github.com/protocolbuffers/protobuf) | `5.28.2` | `5.28.3` |
| [pymupdf](https://github.com/pymupdf/pymupdf) | `1.24.10` | `1.24.12` |
| [redis](https://github.com/redis/redis-py) | `5.0.8` | `5.2.0` |
| [torch](https://github.com/pytorch/pytorch) | `2.4.1` | `2.5.0` |
| [pyright](https://github.com/RobertCraigie/pyright-python) | `1.1.382` | `1.1.386` |
| [ruff](https://github.com/astral-sh/ruff) | `0.6.7` | `0.7.1` |



Updates `granian` from 1.6.0 to 1.6.1
- [Release notes](https://github.com/emmett-framework/granian/releases)
- [Commits](emmett-framework/granian@v1.6.0...v1.6.1)

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 2.6.0
- [Release notes](https://github.com/pydantic/pydantic-settings/releases)
- [Commits](pydantic/pydantic-settings@v2.5.2...v2.6.0)

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 4.46.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.44.2...v4.46.0)

Updates `sentence-transformers` from 3.1.1 to 3.2.1
- [Release notes](https://github.com/UKPLab/sentence-transformers/releases)
- [Commits](UKPLab/sentence-transformers@v3.1.1...v3.2.1)

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 1.24.12
- [Release notes](https://github.com/pymupdf/pymupdf/releases)
- [Changelog](https://github.com/pymupdf/PyMuPDF/blob/main/changes.txt)
- [Commits](pymupdf/PyMuPDF@1.24.10...1.24.12)

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 2.5.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.1...v2.5.0)

Updates `pyright` from 1.1.382 to 1.1.386
- [Release notes](https://github.com/RobertCraigie/pyright-python/releases)
- [Commits](RobertCraigie/pyright-python@v1.1.382...v1.1.386)

Updates `ruff` from 0.6.7 to 0.7.1
- [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...0.7.1)

---
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
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Oct 25, 2024
@dependabot dependabot bot mentioned this pull request Oct 25, 2024
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dependabot bot commented on behalf of github Oct 28, 2024

Superseded by #235.

@dependabot dependabot bot closed this Oct 28, 2024
@dependabot dependabot bot deleted the dependabot/pip/dependencies-53b4dc8aae branch October 28, 2024 11:07
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