Skip to content

Bump the pip group across 1 directory with 3 updates #13

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Open
dependabot wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Bump the pip group across 1 directory with 3 updates #13

dependabot wants to merge 1 commit into from

Conversation

@dependabot
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Jul 11, 2025

Bumps the pip group with 3 updates in the / directory: black, transformers and scikit-learn.

Updates black from 24.3.0 to 25.1.0

Release notes

Sourced from black's releases.

25.1.0

Highlights

This release introduces the new 2025 stable style (#4558), stabilizing the following changes:

  • Normalize casing of Unicode escape characters in strings to lowercase (#2916)
  • Fix inconsistencies in whether certain strings are detected as docstrings (#4095)
  • Consistently add trailing commas to typed function parameters (#4164)
  • Remove redundant parentheses in if guards for case blocks (#4214)
  • Add parentheses to if clauses in case blocks when the line is too long (#4269)
  • Whitespace before # fmt: skip comments is no longer normalized (#4146)
  • Fix line length computation for certain expressions that involve the power operator (#4154)
  • Check if there is a newline before the terminating quotes of a docstring (#4185)
  • Fix type annotation spacing between * and more complex type variable tuple (#4440)

The following changes were not in any previous release:

  • Remove parentheses around sole list items (#4312)
  • Generic function definitions are now formatted more elegantly: parameters are split over multiple lines first instead of type parameter definitions (#4553)

Stable style

  • Fix formatting cells in IPython notebooks with magic methods and starting or trailing empty lines (#4484)
  • Fix crash when formatting with statements containing tuple generators/unpacking (#4538)

Preview style

  • Fix/remove string merging changing f-string quotes on f-strings with internal quotes (#4498)
  • Collapse multiple empty lines after an import into one (#4489)
  • Prevent string_processing and wrap_long_dict_values_in_parens from removing parentheses around long dictionary values (#4377)
  • Move wrap_long_dict_values_in_parens from the unstable to preview style (#4561)

Packaging

  • Store license identifier inside the License-Expression metadata field, see PEP 639. (#4479)

Performance

  • Speed up the is_fstring_start function in Black's tokenizer (#4541)

Integrations

  • If using stdin with --stdin-filename set to a force excluded path, stdin won't be

... (truncated)

Changelog

Sourced from black's changelog.

25.1.0

Highlights

This release introduces the new 2025 stable style (#4558), stabilizing the following changes:

  • Normalize casing of Unicode escape characters in strings to lowercase (#2916)
  • Fix inconsistencies in whether certain strings are detected as docstrings (#4095)
  • Consistently add trailing commas to typed function parameters (#4164)
  • Remove redundant parentheses in if guards for case blocks (#4214)
  • Add parentheses to if clauses in case blocks when the line is too long (#4269)
  • Whitespace before # fmt: skip comments is no longer normalized (#4146)
  • Fix line length computation for certain expressions that involve the power operator (#4154)
  • Check if there is a newline before the terminating quotes of a docstring (#4185)
  • Fix type annotation spacing between * and more complex type variable tuple (#4440)

The following changes were not in any previous release:

  • Remove parentheses around sole list items (#4312)
  • Generic function definitions are now formatted more elegantly: parameters are split over multiple lines first instead of type parameter definitions (#4553)

Stable style

  • Fix formatting cells in IPython notebooks with magic methods and starting or trailing empty lines (#4484)
  • Fix crash when formatting with statements containing tuple generators/unpacking (#4538)

Preview style

  • Fix/remove string merging changing f-string quotes on f-strings with internal quotes (#4498)
  • Collapse multiple empty lines after an import into one (#4489)
  • Prevent string_processing and wrap_long_dict_values_in_parens from removing parentheses around long dictionary values (#4377)
  • Move wrap_long_dict_values_in_parens from the unstable to preview style (#4561)

Packaging

  • Store license identifier inside the License-Expression metadata field, see PEP 639. (#4479)

Performance

  • Speed up the is_fstring_start function in Black's tokenizer (#4541)

Integrations

... (truncated)

Commits

Updates transformers from 4.50.0 to 4.52.1

Release notes

Sourced from transformers's releases.

Patch release v4.51.3

A mix of bugs were fixed in this patch; very exceptionally, we diverge from semantic versioning to merge GLM-4 in this patch release.

  • Handle torch ver in flexattn (#37400)
  • handle torch version edge cases (#37399)
  • Add glm4 (#37388)

Patch Release 4.51.2

This is another round of bug fixes, but they are a lot more minor and outputs were not really affected!

Patch release v4.51.1

Since the release of Llama 4, we have fixed a few issues that we are now releasing in patch v4.51.1

  • Fixing flex attention for torch=2.6.0 (#37285)
  • more fixes for post-training llama4 (#37329)
  • Remove HQQ from caching allocator warmup (#37347)
  • fix derived berts _init_weights (#37341)
  • Fix init empty weights without accelerate (#37337)
  • Fix deepspeed with quantization (#37324)
  • fix llama4 training (#37319)
  • fix flex attn when optional args aren't passed (#37327)
  • Multiple llama4 fixe (#37353)

Thanks all for your patience

v4.51.0: Llama 4, Phi4-Multimodal, DeepSeek-v3, Qwen3

New Model Additions

Llama 4

image

Llama 4, developed by Meta, introduces a new auto-regressive Mixture-of-Experts (MoE) architecture.This generation includes two models:

  • The highly capable Llama 4 Maverick with 17B active parameters out of ~400B total, with 128 experts.
  • The efficient Llama 4 Scout also has 17B active parameters out of ~109B total, using just 16 experts.

Both models leverage early fusion for native multimodality, enabling them to process text and image inputs. Maverick and Scout are both trained on up to 40 trillion tokens on data encompassing 200 languages (with specific fine-tuning support for 12 languages including Arabic, Spanish, German, and Hindi).

For deployment, Llama 4 Scout is designed for accessibility, fitting on a single server-grade GPU via on-the-fly 4-bit or 8-bit quantization, while Maverick is available in BF16 and FP8 formats. These models are released under the custom Llama 4 Community License Agreement, available on the model repositories

Getting started with Llama 4 using transformers is straightforward. Make sure you have transformers v4.51.0 or later installed:

pip install -U transformers[hf_xet]
</tr></table>

... (truncated)

Commits

Updates scikit-learn from 1.5.1 to 1.6.1

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.6.1

We're happy to announce the 1.6.1 release.

This release contains fixes for a few regressions introduced in 1.6.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.6.html#version-1-6-1

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

Scikit-learn 1.6.0

We're happy to announce the 1.6.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.6.html

This version supports Python versions 3.9 to 3.13 and features an experimental support of free-threaded CPython.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Scikit-learn 1.5.2

We're happy to announce the 1.5.2 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-2

You can upgrade with pip as usual:

</tr></table>

... (truncated)

Commits
  • f159b78 trigger wheel builder [cd build]
  • 73cca70 generate changelog
  • afaa070 bump version
  • 1f43fd2 DOC: Updates to Macro vs micro-averaging in plot_roc.py (#29845)
  • ea8a725 🔒 🤖 CI Update lock files for main CI build(s) 🔒 🤖 (#30593)
  • bc291f1 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 ...
  • f5f2b9c 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
  • acbb862 TST Fix doctest due to GradientBoostingClassifier difference with scipy 1.15 ...
  • 42831e5 FIX warn if an estimator does have a concrete sklearn_tags implementation...
  • 0d2ce43 FIX change FutureWarnings to DeprecationWarnings for the tags (#30573)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore <dependency name> major version will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself)
  • @dependabot ignore <dependency name> minor version will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself)
  • @dependabot ignore <dependency name> will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself)
  • @dependabot unignore <dependency name> will remove all of the ignore conditions of the specified dependency
  • @dependabot unignore <dependency name> <ignore condition> will remove the ignore condition of the specified dependency and ignore conditions
    You can disable automated security fix PRs for this repo from the Security Alerts page.

@dependabot
Bump the pip group across 1 directory with 3 updates
59a4a30 
Bumps the pip group with 3 updates in the / directory: [black](https://github.com/psf/black), [transformers](https://github.com/huggingface/transformers) and [scikit-learn](https://github.com/scikit-learn/scikit-learn).


Updates `black` from 24.3.0 to 25.1.0
- [Release notes](https://github.com/psf/black/releases)
- [Changelog](https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](psf/black@24.3.0...25.1.0)

Updates `transformers` from 4.50.0 to 4.52.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.50.0...v4.52.1)

Updates `scikit-learn` from 1.5.1 to 1.6.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.5.1...1.6.1)

---
updated-dependencies:
- dependency-name: black
  dependency-version: 25.1.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 4.52.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-version: 1.6.1
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 11, 2025
@ohsono ohsono self-assigned this Oct 9, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

@ohsono ohsono

Labels

dependencies Pull requests that update a dependency file python Pull requests that update python code

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

2 participants

@ohsono