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Bump the python-packages group with 10 updates #25

Merged
merged 2 commits into from
May 3, 2024
Merged

Bump the python-packages group with 10 updates #25

merged 2 commits into from
May 3, 2024

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@dependabot dependabot bot commented on behalf of github May 1, 2024

Bumps the python-packages group with 10 updates:

Package From To
pygls 1.3.0 1.3.1
language-tool-python 2.7.1 2.8
tree-sitter 0.20.4 0.21.3
gitpython 3.1.42 3.1.43
torch 2.2.1 2.3.0
openai 1.13.3 1.25.0
transformers 4.38.2 4.40.1
bitsandbytes 0.42.0 0.43.1
pytest 8.0.2 8.2.0
pytest-cov 4.1.0 5.0.0

Updates pygls from 1.3.0 to 1.3.1

Release notes

Sourced from pygls's releases.

v1.3.1

What's Changed

New Contributors

Full Changelog: openlawlibrary/pygls@v1.3.0...v1.3.1

Changelog

Sourced from pygls's changelog.

[1.3.1] - 2024-03-26

More details: https://github.com/openlawlibrary/pygls/releases/tag/v1.3.1

Documentation

  • Add systemd-language-server to implementations
  • Update implementations.md with Chapel's language server

Miscellaneous Tasks

  • Update CHANGELOG.md
  • Update CONTRIBUTORS.md
  • Apache license missing dash

Build

  • V1.3.1
Commits
  • 9e27a5e build: v1.3.1
  • 79c0bcc docs: update implementations.md with Chapel's language server
  • f5de769 docs: add systemd-language-server to implementations
  • 959241e chore: apache license missing dash
  • 323dfa8 chore: update CONTRIBUTORS.md
  • db2233f chore: update CHANGELOG.md
  • See full diff in compare view

Updates language-tool-python from 2.7.1 to 2.8

Commits

Updates tree-sitter from 0.20.4 to 0.21.3

Release notes

Sourced from tree-sitter's releases.

v0.21.3

Full Changelog: tree-sitter/py-tree-sitter@v0.21.2...v0.21.3

v0.21.2

Full Changelog: tree-sitter/py-tree-sitter@v0.21.1...v0.21.2

v0.21.1

Full Changelog: tree-sitter/py-tree-sitter@v0.21.0...v0.21.1

v0.21.0

What's Changed

New Contributors

Full Changelog: tree-sitter/py-tree-sitter@v0.20.4...v0.21.0

Commits
  • 5d52ace fix: accept PathLike in Language()
  • 30d3660 build: enable aarch64 wheels
  • ce1af66 feat: support Python 3.12 again
  • 52f29fa docs: add pypi badge
  • b33091c ci(pypi): fix GitHub release step
  • f48b92f ci(pypi): explicitly set up python
  • 55fde88 build: update submodules
  • f1d4b86 build: add keywords
  • 59e54ff ci: drop test releases
  • e9c956c docs: improve examples and add usage file
  • Additional commits viewable in compare view

Updates gitpython from 3.1.42 to 3.1.43

Release notes

Sourced from gitpython's releases.

3.1.43

Particularly Important Changes

These are likely to affect you, please do take a careful look.

Other Changes

New Contributors

Full Changelog: gitpython-developers/GitPython@3.1.42...3.1.43

Commits
  • 5364053 bump version to 3.1.43
  • 4e626bd Merge pull request #1886 from EliahKagan/deprecation-warnings
  • f6060df Add GitMeta alias
  • 8327b45 Test GitMeta alias
  • f92f4c3 Clarify security risk in USE_SHELL doc and warnings
  • c7675d2 update security policy, to use GitHub instead of email
  • cf2576e Make/use test.deprecation.lib; abandon idea to filter by module
  • 7cd3aa9 Make test.performance.lib docstring more specific
  • b51b080 Explain the approach in test.deprecation to static checking
  • bdabb21 Expand USE_SHELL docstring; clarify a test usage
  • Additional commits viewable in compare view

Updates torch from 2.2.1 to 2.3.0

Release notes

Sourced from torch's releases.

PyTorch 2.3: User-Defined Triton Kernels in torch.compile, Tensor Parallelism in Distributed

PyTorch 2.3 Release notes

  • Highlights
  • Backwards Incompatible Changes
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation

Highlights

We are excited to announce the release of PyTorch® 2.3! PyTorch 2.3 offers support for user-defined Triton kernels in torch.compile, allowing for users to migrate their own Triton kernels from eager without experiencing performance complications or graph breaks. As well, Tensor Parallelism improves the experience for training Large Language Models using native PyTorch functions, which has been validated on training runs for 100B parameter models.

This release is composed of 3393 commits and 426 contributors since PyTorch 2.2. 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 2.3. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

Commits

Updates openai from 1.13.3 to 1.25.0

Release notes

Sourced from openai's releases.

v1.25.0

1.25.0 (2024-05-01)

Full Changelog: v1.24.1...v1.25.0

Features

v1.24.1

1.24.1 (2024-04-30)

Full Changelog: v1.24.0...v1.24.1

Chores

v1.24.0

1.24.0 (2024-04-29)

Full Changelog: v1.23.6...v1.24.0

Features

Chores

v1.23.6

1.23.6 (2024-04-25)

Full Changelog: v1.23.5...v1.23.6

Chores

v1.23.5

1.23.5 (2024-04-24)

Full Changelog: v1.23.4...v1.23.5

Chores

... (truncated)

Changelog

Sourced from openai's changelog.

1.25.0 (2024-05-01)

Full Changelog: v1.24.1...v1.25.0

Features

1.24.1 (2024-04-30)

Full Changelog: v1.24.0...v1.24.1

Chores

1.24.0 (2024-04-29)

Full Changelog: v1.23.6...v1.24.0

Features

Chores

1.23.6 (2024-04-25)

Full Changelog: v1.23.5...v1.23.6

Chores

1.23.5 (2024-04-24)

Full Changelog: v1.23.4...v1.23.5

Chores

  • internal: use actions/checkout@v4 for codeflow (#1368) (d1edf8b)

1.23.4 (2024-04-24)

Full Changelog: v1.23.3...v1.23.4

... (truncated)

Commits

Updates transformers from 4.38.2 to 4.40.1

Release notes

Sourced from transformers's releases.

v4.40.1: fix EosTokenCriteria for Llama3 on mps

Kudos to @​pcuenca for the prompt fix in:

  • Make EosTokenCriteria compatible with mps #30376

To support EosTokenCriteria on MPS while pytorch adds this functionality.

v4.40.0: Llama 3, Idefics 2, Recurrent Gemma, Jamba, DBRX, OLMo, Qwen2MoE, Grounding Dino

New model additions

Llama 3

Llama 3 is supported in this release through the Llama 2 architecture and some fixes in the tokenizers library.

Idefics2

The Idefics2 model was created by the Hugging Face M4 team and authored by Léo Tronchon, Hugo Laurencon, Victor Sanh. The accompanying blog post can be found here.

Idefics2 is an open multimodal model that accepts arbitrary sequences of image and text inputs and produces text outputs. The model can answer questions about images, describe visual content, create stories grounded on multiple images, or simply behave as a pure language model without visual inputs. It improves upon IDEFICS-1, notably on document understanding, OCR, or visual reasoning. Idefics2 is lightweight (8 billion parameters) and treats images in their native aspect ratio and resolution, which allows for varying inference efficiency.

Recurrent Gemma

Recurrent Gemma architecture. Taken from the original paper.

The Recurrent Gemma model was proposed in RecurrentGemma: Moving Past Transformers for Efficient Open Language Models by the Griffin, RLHF and Gemma Teams of Google.

The abstract from the paper is the following:

We introduce RecurrentGemma, an open language model which uses Google’s novel Griffin architecture. Griffin combines linear recurrences with local attention to achieve excellent performance on language. It has a fixed-sized state, which reduces memory use and enables efficient inference on long sequences. We provide a pre-trained model with 2B non-embedding parameters, and an instruction tuned variant. Both models achieve comparable performance to Gemma-2B despite being trained on fewer tokens.

Jamba

Jamba is a pretrained, mixture-of-experts (MoE) generative text model, with 12B active parameters and an overall of 52B parameters across all experts. It supports a 256K context length, and can fit up to 140K tokens on a single 80GB GPU.

As depicted in the diagram below, Jamba’s architecture features a blocks-and-layers approach that allows Jamba to successfully integrate Transformer and Mamba architectures altogether. Each Jamba block contains either an attention or a Mamba layer, followed by a multi-layer perceptron (MLP), producing an overall ratio of one Transformer layer out of every eight total layers.

image

Jamba introduces the first HybridCache object that allows it to natively support assisted generation, contrastive search, speculative decoding, beam search and all of the awesome features from the generate API!

... (truncated)

Commits

Updates bitsandbytes from 0.42.0 to 0.43.1

Release notes

Sourced from bitsandbytes's releases.

0.43.0: FSDP support, Official documentation, Cross-compilation on Linux and CI, Windows support

Improvements and New Features:

  • QLoRA + FSDP official support is now live! TimDettmers/bitsandbytes#970 by @​warner-benjamin and team - with FSDP you can train very large models (70b scale) on multiple 24GB consumer-type GPUs. See https://www.answer.ai/posts/2024-03-06-fsdp-qlora.html for more details.
  • Introduced improvements to the CI process for enhanced performance and efficiency during builds, specifically enabling more effective cross-compilation on Linux platforms. This was accomplished by deprecating Make and migrating to Cmake, as well as implementing new corresponding workflows. Huge thanks go to @​wkpark, @​rickardp, @​matthewdouglas and @​younesbelkada; #1055, #1050, #1111.
  • Windows should be officially supported in bitsandbytes with pip install bitsandbytes
  • Updated installation instructions to provide more comprehensive guidance for users. This includes clearer explanations and additional tips for various setup scenarios, making the library more accessible to a broader audience (@​rickardp, #1047).
  • Enhanced the library's compatibility and setup process, including fixes for CPU-only installations and improvements in CUDA setup error messaging. This effort aims to streamline the installation process and improve user experience across different platforms and setups (@​wkpark, @​akx, #1038, #996, #1012).
  • Setup a new documentation at https://huggingface.co/docs/bitsandbytes/main with extensive new sections and content to help users better understand and utilize the library. Especially notable are the new API docs. (big thanks to @​stevhliu and @​mishig25 from HuggingFace #1012). The API docs have been also addressed in TimDettmers/bitsandbytes#1075

Bug Fixes:

  • Addressed a race condition in kEstimateQuantiles, enhancing the reliability of quantile estimation in concurrent environments (@​pnunna93, #1061).
  • Fixed various minor issues, including typos in code comments and documentation, to improve code clarity and prevent potential confusion (@​nairbv, #1063).

Backwards Compatibility

  • After upgrading from v0.42 to v0.43, when using 4bit quantization, models may generate slightly different outputs (approximately up to the 2nd decimal place) due to a fix in the code. For anyone interested in the details, see this comment.

Internal and Build System Enhancements:

  • Implemented several enhancements to the internal and build systems, including adjustments to the CI workflows, portability improvements, and build artifact management. These changes contribute to a more robust and flexible development process, ensuring the library's ongoing quality and maintainability (@​rickardp, @​akx, @​wkpark, @​matthewdouglas; #949, #1053, #1045, #1037).

Contributors:

This release is made possible thanks to the many active contributors that submitted PRs and many others who contributed to discussions, reviews, and testing. Your efforts greatly enhance the library's quality and user experience. It's truly inspiring to work with such a dedicated and competent group of volunteers and professionals!

We give a special thanks to @​TimDettmers for managing to find a little bit of time for valuable consultations on critical topics, despite preparing for and touring the states applying for professor positions. We wish him the utmost success!

We also extend our gratitude to the broader community for your continued support, feedback, and engagement, which play a crucial role in driving the library's development forward.

Changelog

Sourced from bitsandbytes's changelog.

0.43.1

Improvements:

  • Improved the serialization format for 8-bit weights; this change is fully backwards compatible. (#1164, thanks to @​younesbelkada for the contributions and @​akx for the review).
  • Added CUDA 12.4 support to the Linux x86-64 build workflow, expanding the library's compatibility with the latest CUDA versions. (#1171, kudos to @​matthewdouglas for this addition).
  • Docs enhancement: Improved the instructions for installing the library from source. (#1149, special thanks to @​stevhliu for the enhancements).

Bug Fixes

  • Fix 4bit quantization with blocksize = 4096, where an illegal memory access was encountered. (#1160, thanks @​matthewdouglas for fixing and @​YLGH for reporting)

Internal Improvements:

0.43.0

Improvements and New Features:

Bug Fixes:

  • Addressed a race condition in kEstimateQuantiles, enhancing the reliability of quantile estimation in concurrent environments (@​pnunna93, #1061).
  • Fixed various minor issues, including typos in code comments and documentation, to improve code clarity and prevent potential confusion (@​Brian Vaughan, #1063).

Backwards Compatibility

  • After upgrading from v0.42 to v0.43, when using 4bit quantization, models may generate slightly different outputs (approximately up to the 2nd decimal place) due to a fix in the code. For anyone interested in the details, see this comment.

Internal and Build System Enhancements:

  • Implemented several enhancements to the internal and build systems, including adjustments to the CI workflows, portability improvements, and build artifact management. These changes contribute to a more robust and flexible development process, ensuring the library's ongoing quality and maintainability (@​rickardp, @​akx, @​wkpark, @​matthewdouglas; #949, #1053, #1045, #1037).

Contributors:

This release is made possible thanks to the many active contributors that submitted PRs and many others who contributed to discussions, reviews, and testing. Your efforts greatly enhance the library's quality and user experience. It's truly inspiring to work with such a dedicated and competent group of volunteers and professionals!

We give a special thanks to @​TimDettmers for managing to find a little bit of time for valuable consultations on critical topics, despite preparing for and touring the states applying for professor positions. We wish him the utmost success!

... (truncated)

Commits
  • 4a6fb35 bump version to 0.43.1
  • f92c536 CHANGELOG: add v0.43.1
  • 0c33c0d ignore CHANGELOG reordering + formatting commit
  • 4743ff0 CHANGELOG: to reverse chron order + mdformat
  • 7449d71 [Core] Change 8-bit serialization weight format format (#1164)
  • c54053d Bump scipy from 1.12.0 to 1.13.0 in the minor-patch group (#1170)
  • 6be3d0f [docs] Install from source (#1149)
  • 0c887b7 Merge pull request #1169 from TimDettmers/dependabot/pip/major-45b123642d
  • af9a073 Merge pull request #1171 from matthewdouglas/build-cu124
  • ebac862 Exclude Windows from CUDA 12.4.0 build for now
  • Additional commits viewable in compare view

Updates pytest from 8.0.2 to 8.2.0

Release notes

Sourced from pytest's releases.

8.2.0

pytest 8.2.0 (2024-04-27)

Deprecations

  • #12069: A deprecation warning is now raised when implementations of one of the following hooks request a deprecated py.path.local parameter instead of the pathlib.Path parameter which replaced it:

    • pytest_ignore_collect{.interpreted-text role="hook"} - the path parameter - use collection_path instead.
    • pytest_collect_file{.interpreted-text role="hook"} - the path parameter - use file_path instead.
    • pytest_pycollect_makemodule{.interpreted-text role="hook"} - the path parameter - use module_path instead.
    • pytest_report_header{.interpreted-text role="hook"} - the startdir parameter - use start_path instead.
    • pytest_report_collectionfinish{.interpreted-text role="hook"} - the startdir parameter - use start_path instead.

    The replacement parameters are available since pytest 7.0.0. The old parameters will be removed in pytest 9.0.0.

    See legacy-path-hooks-deprecated{.interpreted-text role="ref"} for more details.

Features

  • #11871: Added support for reading command line arguments from a file using the prefix character @, like e.g.: pytest @tests.txt. The file must have one argument per line.

    See Read arguments from file <args-from-file>{.interpreted-text role="ref"} for details.

Improvements

  • #11523: pytest.importorskip{.interpreted-text role="func"} will now issue a warning if the module could be found, but raised ImportError{.interpreted-text role="class"} instead of ModuleNotFoundError{.interpreted-text role="class"}.

    The warning can be suppressed by passing exc_type=ImportError to pytest.importorskip{.interpreted-text role="func"}.

    See import-or-skip-import-error{.interpreted-text role="ref"} for details.

  • #11728: For unittest-based tests, exceptions during class cleanup (as raised by functions registered with TestCase.addClassCleanup <unittest.TestCase.addClassCleanup>{.interpreted-text role="meth"}) are now reported instead of silently failing.

  • #11777: Text is no longer truncated in the short test summary info section when -vv is given.

  • #12112: Improved namespace packages detection when consider_namespace_packages{.interpreted-text role="confval"} is enabled, covering more situations (like editable installs).

  • #9502: Added PYTEST_VERSION{.interpreted-text role="envvar"} environment variable which is defined at the start of the pytest session and undefined afterwards. It contains the value of pytest.__version__, and among other things can be used to easily check if code is running from within a pytest run.

Bug Fixes

  • #12065: Fixed a regression in pytest 8.0.0 where test classes containing setup_method and tests using @staticmethod or @classmethod would crash with AttributeError: 'NoneType' object has no attribute 'setup_method'.

    Now the request.instance <pytest.FixtureRequest.instance>{.interpreted-text role="attr"} attribute of tests using @staticmethod and @classmethod is no longer None, but a fresh instance of the class, like in non-static methods.

... (truncated)

Commits
  • 6bd3f31 Tweak changelog for 8.2.0
  • 9b6219b Prepare release version 8.2.0

@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label May 1, 2024
dependabot bot and others added 2 commits May 3, 2024 19:40
@dependabot @hangyav
Bump the python-packages group with 10 updates
21cc391 
Bumps the python-packages group with 10 updates:

| Package | From | To |
| --- | --- | --- |
| [pygls](https://github.com/openlawlibrary/pygls) | `1.3.0` | `1.3.1` |
| [language-tool-python](https://github.com/jxmorris12/language_tool_python) | `2.7.1` | `2.8` |
| [tree-sitter](https://github.com/tree-sitter/py-tree-sitter) | `0.20.4` | `0.21.3` |
| [gitpython](https://github.com/gitpython-developers/GitPython) | `3.1.42` | `3.1.43` |
| [torch](https://github.com/pytorch/pytorch) | `2.2.1` | `2.3.0` |
| [openai](https://github.com/openai/openai-python) | `1.13.3` | `1.25.0` |
| [transformers](https://github.com/huggingface/transformers) | `4.38.2` | `4.40.1` |
| [bitsandbytes](https://github.com/TimDettmers/bitsandbytes) | `0.42.0` | `0.43.1` |
| [pytest](https://github.com/pytest-dev/pytest) | `8.0.2` | `8.2.0` |
| [pytest-cov](https://github.com/pytest-dev/pytest-cov) | `4.1.0` | `5.0.0` |


Updates `pygls` from 1.3.0 to 1.3.1
- [Release notes](https://github.com/openlawlibrary/pygls/releases)
- [Changelog](https://github.com/openlawlibrary/pygls/blob/main/CHANGELOG.md)
- [Commits](openlawlibrary/pygls@v1.3.0...v1.3.1)

Updates `language-tool-python` from 2.7.1 to 2.8
- [Release notes](https://github.com/jxmorris12/language_tool_python/releases)
- [Commits](https://github.com/jxmorris12/language_tool_python/commits/2.8.0)

Updates `tree-sitter` from 0.20.4 to 0.21.3
- [Release notes](https://github.com/tree-sitter/py-tree-sitter/releases)
- [Commits](tree-sitter/py-tree-sitter@v0.20.4...v0.21.3)

Updates `gitpython` from 3.1.42 to 3.1.43
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](gitpython-developers/GitPython@3.1.42...3.1.43)

Updates `torch` from 2.2.1 to 2.3.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.2.1...v2.3.0)

Updates `openai` from 1.13.3 to 1.25.0
- [Release notes](https://github.com/openai/openai-python/releases)
- [Changelog](https://github.com/openai/openai-python/blob/main/CHANGELOG.md)
- [Commits](openai/openai-python@v1.13.3...v1.25.0)

Updates `transformers` from 4.38.2 to 4.40.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.38.2...v4.40.1)

Updates `bitsandbytes` from 0.42.0 to 0.43.1
- [Release notes](https://github.com/TimDettmers/bitsandbytes/releases)
- [Changelog](https://github.com/TimDettmers/bitsandbytes/blob/main/CHANGELOG.md)
- [Commits](bitsandbytes-foundation/bitsandbytes@0.42.0...0.43.1)

Updates `pytest` from 8.0.2 to 8.2.0
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@8.0.2...8.2.0)

Updates `pytest-cov` from 4.1.0 to 5.0.0
- [Changelog](https://github.com/pytest-dev/pytest-cov/blob/master/CHANGELOG.rst)
- [Commits](pytest-dev/pytest-cov@v4.1.0...v5.0.0)

---
updated-dependencies:
- dependency-name: pygls
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-packages
- dependency-name: language-tool-python
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: tree-sitter
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: gitpython
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-packages
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: openai
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: transformers
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: bitsandbytes
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: pytest
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-packages
- dependency-name: pytest-cov
  dependency-type: direct:development
  update-type: version-update:semver-major
  dependency-group: python-packages
...

Signed-off-by: dependabot[bot] <support@github.com>
@hangyav
fix: adding setuptools to workflows
3e562c4
@hangyav hangyav force-pushed the dependabot/pip/python-packages-13036300ff branch from 262680c to 3e562c4 Compare May 3, 2024 17:42
@hangyav hangyav merged commit 5816f65 into main May 3, 2024
1 check passed
@dependabot dependabot bot deleted the dependabot/pip/python-packages-13036300ff branch May 3, 2024 17:52
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