chore(deps): bump the pip group across 1 directory with 2 updates

[dependabot]

Bumps the pip group with 2 updates in the /apps/pii directory: transformers and pytest.

Updates transformers from 4.56.2 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.

• Add EXAONE-MoE implementations (#43080) by @​nuxlear

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.

• [Model] Add PP-DocLayoutV3 Model Support (#43098) by @​zhang-prog

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.

• Add Youtu-LLM model (#43166) by @​LuJunru

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.

• [GLM-OCR] GLM-OCR Support (#43391)by @​zRzRzRzRzRzRzR

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

• aad13b8 v5.3.0
• f6c63a6 protect imports (#44437)
• fd6bc38 [vllm + v5 fix] handle TokenizersBackend fallback properly for v5 (#44255)
• 30c4801 Fix CLI NameError: name 'TypeAdapter' is not defined (#44256)
• ee4c220 Enforce min length in some generate tests (#44401)
• a4f3df0 [tiny] Add olmo_hybrid to tokenizer auto-mapping (#44416)
• 1313588 Update PR template (#44415)
• 7235d44 Add eurobert (#39455)
• f60c4e9 Add Qwen3.5 support for sequence classification (#44406)
• fa7f4b6 update the expected output for qwen2_5_vl w/ pytorch 2.10 XPU (#44426)
• Additional commits viewable in compare view

Updates pytest from 8.4.1 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

• a7d58d7 Prepare release version 9.0.3
• 089d981 Merge pull request #14366 from bluetech/revert-14193-backport
• 8127eaf Revert "Fix: assertrepr_compare respects dict insertion order (#14050) (#14193)"
• 99a7e60 Merge pull request #14363 from pytest-dev/patchback/backports/9.0.x/95d8423bd...
• ddee02a Merge pull request #14343 from bluetech/cve-2025-71176-simple
• 74eac69 doc: Update training info (#14298) (#14301)
• f92dee7 Merge pull request #14267 from pytest-dev/patchback/backports/9.0.x/d6fa26c62...
• 7ee58ac Merge pull request #12378 from Pierre-Sassoulas/fix-implicit-str-concat-and-d...
• 37da870 Merge pull request #14259 from mitre88/patch-4 (#14268)
• c34bfa3 Add explanation for string context diffs (#14257) (#14266)
• 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 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.

[vercel]

The latest updates on your projects. Learn more about Vercel for GitHub.

1 Skipped Deployment

Project	Deployment	Actions	Updated (UTC)
docs	Skipped		Jul 9, 2026 8:38pm

[cursor]

PR Summary

Medium Risk
transformers 4→5 is a major upgrade on the GLiNER inference path; pytest 9.x only affects CI/local tests.

Overview
Pins pytest from 8.4.1 to 9.0.3 in requirements-dev.txt (unit/integration test runs only).

Pins transformers from 4.56.2 to 5.3.0 in requirements-gliner.txt, which is installed only on the opt-in GLiNER Docker image alongside gliner; production spaCy images are unchanged.

^{Reviewed by Cursor Bugbot for commit 1d5d763. Bugbot is set up for automated code reviews on this repo. Configure here.}

[dependabot]

Looks like these dependencies are no longer updatable, so this is no longer needed.