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chore(deps): bump the pip group across 1 directory with 3 updates#99

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chore(deps): bump the pip group across 1 directory with 3 updates#99
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Bumps the pip group with 3 updates in the / directory: transformers, python-dotenv and pytest.

Updates transformers from 4.57.3 to 5.3.0

Release notes

Sourced from transformers's releases.

v5.1.0: EXAONE-MoE, PP-DocLayoutV3, Youtu-LLM, GLM-OCR

New Model additions

EXAONE-MoE

K-EXAONE is a large-scale multilingual language model developed by LG AI Research. Built using a Mixture-of-Experts architecture, K-EXAONE features 236 billion total parameters, with 23 billion active during inference. Performance evaluations across various benchmarks demonstrate that K-EXAONE excels in reasoning, agentic capabilities, general knowledge, multilingual understanding, and long-context processing.

PP-DocLayoutV3

PP-DocLayoutV3 is a unified and high-efficiency model designed for comprehensive layout analysis. It addresses the challenges of complex physical distortions—such as skewing, curving, and adverse lighting—by integrating instance segmentation and reading order prediction into a single, end-to-end framework.

Youtu-LLM

Youtu-LLM is a new, small, yet powerful LLM, contains only 1.96B parameters, supports 128k long context, and has native agentic talents. On general evaluations, Youtu-LLM significantly outperforms SOTA LLMs of similar size in terms of Commonsense, STEM, Coding and Long Context capabilities; in agent-related testing, Youtu-LLM surpasses larger-sized leaders and is truly capable of completing multiple end2end agent tasks.

GlmOcr

GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization. The model integrates the CogViT visual encoder pre-trained on large-scale image–text data, a lightweight cross-modal connector with efficient token downsampling, and a GLM-0.5B language decoder. Combined with a two-stage pipeline of layout analysis and parallel recognition based on PP-DocLayout-V3, GLM-OCR delivers robust and high-quality OCR performance across diverse document layouts.

Breaking changes

  • 🚨 T5Gemma2 model structure (#43633) - Makes sure that the attn implementation is set to all sub-configs. The config.encoder.text_config was not getting its attn set because we aren't passing it to PreTrainedModel.init. We can't change the model structure without breaking so I manually re-added a call to self.adjust_attn_implemetation in modeling code

  • 🚨 Generation cache preparation (#43679) - Refactors cache initialization in generation to ensure sliding window configurations are now properly respected. Previously, some models (like Afmoe) created caches without passing the model config, causing sliding window limits to be ignored. This is breaking because models with sliding window attention will now enforce their window size limits during generation, which may change generation behavior or require adjusting sequence lengths in existing code.

  • 🚨 Delete duplicate code in backbone utils (#43323) - This PR cleans up backbone utilities. Specifically, we have currently 5 different config attr to decide which backbone to load, most of which can be merged into one and seem redundant After this PR, we'll have only one config.backbone_config as a single source of truth. The models will load the backbone from_config and load pretrained weights only if the checkpoint has any weights saved. The overall idea is same as in other composite models. A few config arguments are removed as a result.

  • 🚨 Refactor DETR to updated standards (#41549) - standardizes the DETR model to be closer to other vision models in the library.

  • 🚨Fix floating-point precision in JanusImageProcessor resize (#43187) - replaces an int() with round(), expect light numerical differences

  • 🚨 Remove deprecated AnnotionFormat (#42983) - removes a missnamed class in favour of AnnotationFormat.

... (truncated)

Commits

Updates python-dotenv from 1.2.1 to 1.2.2

Release notes

Sourced from python-dotenv's releases.

v1.2.2

Added

  • Support for Python 3.14, including the free-threaded (3.14t) build. (#)

Changed

  • The dotenv run command now forwards flags directly to the specified command by @​bbc2 in theskumar/python-dotenv#607
  • Improved documentation clarity regarding override behavior and the reference page.
  • Updated PyPy support to version 3.11.
  • Documentation for FIFO file support.
  • Support for Python 3.9.

Fixed

Breaking Changes

  • dotenv.set_key and dotenv.unset_key used to follow symlinks in some situations. This is no longer the case. For that behavior to be restored in all cases, follow_symlinks=True should be used.

  • In the CLI, set and unset used to follow symlinks in some situations. This is no longer the case.

  • dotenv.set_key, dotenv.unset_key and the CLI commands set and unset used to reset the file mode of the modified .env file to 0o600 in some situations. This is no longer the case: The original mode of the file is now preserved. Is the file needed to be created or wasn't a regular file, mode 0o600 is used.

Misc

New Contributors

Full Changelog: theskumar/python-dotenv@v1.2.1...v1.2.2

Changelog

Sourced from python-dotenv's changelog.

[1.2.2] - 2026-03-01

Added

  • Support for Python 3.14, including the free-threaded (3.14t) build. (#588)

Changed

  • The dotenv run command now forwards flags directly to the specified command by [@​bbc2] in #607
  • Improved documentation clarity regarding override behavior and the reference page.
  • Updated PyPy support to version 3.11.
  • Documentation for FIFO file support.
  • Dropped Support for Python 3.9.

Fixed

  • Improved set_key and unset_key behavior when interacting with symlinks by [@​bbc2] in [790c5c0]
  • Corrected the license specifier and added missing Python 3.14 classifiers in package metadata by [@​JYOuyang] in #590

Breaking Changes

  • dotenv.set_key and dotenv.unset_key used to follow symlinks in some situations. This is no longer the case. For that behavior to be restored in all cases, follow_symlinks=True should be used.

  • In the CLI, set and unset used to follow symlinks in some situations. This is no longer the case.

  • dotenv.set_key, dotenv.unset_key and the CLI commands set and unset used to reset the file mode of the modified .env file to 0o600 in some situations. This is no longer the case: The original mode of the file is now preserved. Is the file needed to be created or wasn't a regular file, mode 0o600 is used.

Commits

Updates pytest from 8.4.2 to 9.0.3

Release notes

Sourced from pytest's releases.

9.0.3

pytest 9.0.3 (2026-04-07)

Bug fixes

  • #12444: Fixed pytest.approx which now correctly takes into account ~collections.abc.Mapping keys order to compare them.

  • #13634: Blocking a conftest.py file using the -p no: option is now explicitly disallowed.

    Previously this resulted in an internal assertion failure during plugin loading.

    Pytest now raises a clear UsageError explaining that conftest files are not plugins and cannot be disabled via -p.

  • #13734: Fixed crash when a test raises an exceptiongroup with __tracebackhide__ = True.

  • #14195: Fixed an issue where non-string messages passed to unittest.TestCase.subTest() were not printed.

  • #14343: Fixed use of insecure temporary directory (CVE-2025-71176).

Improved documentation

  • #13388: Clarified documentation for -p vs PYTEST_PLUGINS plugin loading and fixed an incorrect -p example.
  • #13731: Clarified that capture fixtures (e.g. capsys and capfd) take precedence over the -s / --capture=no command-line options in Accessing captured output from a test function <accessing-captured-output>.
  • #14088: Clarified that the default pytest_collection hook sets session.items before it calls pytest_collection_finish, not after.
  • #14255: TOML integer log levels must be quoted: Updating reference documentation.

Contributor-facing changes

  • #12689: The test reports are now published to Codecov from GitHub Actions. The test statistics is visible on the web interface.

    -- by aleguy02

9.0.2

pytest 9.0.2 (2025-12-06)

Bug fixes

  • #13896: The terminal progress feature added in pytest 9.0.0 has been disabled by default, except on Windows, due to compatibility issues with some terminal emulators.

    You may enable it again by passing -p terminalprogress. We may enable it by default again once compatibility improves in the future.

    Additionally, when the environment variable TERM is dumb, the escape codes are no longer emitted, even if the plugin is enabled.

  • #13904: Fixed the TOML type of the tmp_path_retention_count settings in the API reference from number to string.

  • #13946: The private config.inicfg attribute was changed in a breaking manner in pytest 9.0.0. Due to its usage in the ecosystem, it is now restored to working order using a compatibility shim. It will be deprecated in pytest 9.1 and removed in pytest 10.

... (truncated)

Commits

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@dependabot
chore(deps): bump the pip group across 1 directory with 3 updates
e0da1bf 
Bumps the pip group with 3 updates in the / directory: [transformers](https://github.com/huggingface/transformers), [python-dotenv](https://github.com/theskumar/python-dotenv) and [pytest](https://github.com/pytest-dev/pytest).


Updates `transformers` from 4.57.3 to 5.3.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.3.0)

Updates `python-dotenv` from 1.2.1 to 1.2.2
- [Release notes](https://github.com/theskumar/python-dotenv/releases)
- [Changelog](https://github.com/theskumar/python-dotenv/blob/main/CHANGELOG.md)
- [Commits](theskumar/python-dotenv@v1.2.1...v1.2.2)

Updates `pytest` from 8.4.2 to 9.0.3
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@8.4.2...9.0.3)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 5.3.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: python-dotenv
  dependency-version: 1.2.2
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: pytest
  dependency-version: 9.0.3
  dependency-type: direct:development
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot
dependabot Bot requested a review from bniladridas as a code owner July 2, 2026 14:27
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 2, 2026
@github-actions

github-actions Bot commented Jul 2, 2026

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Hi @dependabot[bot],

I took a calm look at this Dependabot pull request.

gon ✓

Minor update. Usually safe to merge.

Changed files: requirements-dev.txt requirements.txt

requirements.txt

@@ -1,6 +1,6 @@
 # Core ML and AI dependencies
 torch>=2.8.0  # Note: CI installs CPU version with specific index URL for performance
-transformers==4.57.3
+transformers==5.3.0
 sentence-transformers==5.1.2
 faiss-cpu==1.13.0
 
@@ -17,7 +17,7 @@ beautifulsoup4==4.14.3
 tmdbsimple==2.9.1
 
 # Utility and system dependencies
-python-dotenv==1.2.1
+python-dotenv==1.2.2
 psutil==7.1.3
 time-machine==2.19.0
 memory-profiler==0.61.0

requirements-dev.txt

@@ -1,7 +1,7 @@
 # Development dependencies for RAG Transformer
 
 # Testing
-pytest==8.4.2
+pytest==9.0.3
 pytest-cov==7.0.0
 
 # Linting and type checking
@@ -18,14 +18,14 @@ pre-commit==4.3.0
 pip-tools>=7.0.0
 
 # Core dependencies (excluding torch which is installed separately in CI)
-transformers==4.57.3
+transformers==5.3.0
 sentence-transformers==5.1.2
 faiss-cpu==1.13.0
 numpy>=1.26.0,<3.0.0
 pandas==2.3.3
 scikit-learn==1.6.1
 openai==2.14.0
-python-dotenv==1.2.1
+python-dotenv==1.2.2
 requests>=2.33.0; python_version >= '3.10'
 requests>=2.32.5; python_version < '3.10'
 beautifulsoup4==4.14.3

Reviewed quietly by gon | Built for rag

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