test: [Automatic] Constraints upgrades: ipython, napari, sentry-sdk, superqt, vispy

[github-actions]

This PR is automatically created and updated by PartSeg GitHub
action cron to keep bundle dependencies modules up to date.

The updated packages are:

• app-model
• dask
• debugpy
• idna
• ipython
• jupyter-client
• napari
• pydantic-settings
• pyinstaller
• pyinstaller-hooks-contrib
• pytest
• python-dotenv
• sentry-sdk
• superqt
• tornado
• tqdm
• traitlets
• typer
• vispy
• wcwidth

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

This PR updates pinned dependency versions across multiple Python-version-specific constraints files, primarily upgrading ipython and several related packages in the test/bundle environment.

File-Level Changes

Change	Details	Files
Update pinned dependency versions in Python-version-specific constraints files for ipython and related packages.	Bump ipython to a newer compatible version across all constraints files (including pydantic_1 and docs variants). Synchronize versions of related tooling dependencies (debugpy, idna, jupyter-client, snowballstemmer, tqdm, traitlets, typer, wcwidth) across all Python 3.10–3.14 constraints files. Ensure consistency of constraints between standard and pydantic_1 constraint sets for each Python version.	requirements/constraints_py3.10.txt requirements/constraints_py3.10_pydantic_1.txt requirements/constraints_py3.11.txt requirements/constraints_py3.11_pydantic_1.txt requirements/constraints_py3.12.txt requirements/constraints_py3.12_docs.txt requirements/constraints_py3.12_pydantic_1.txt requirements/constraints_py3.13.txt requirements/constraints_py3.13_pydantic_1.txt requirements/constraints_py3.14.txt requirements/constraints_py3.14_pydantic_1.txt

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[sourcery-ai]

Hey - I've left some high level feedback:

• Given that the same dependency set is pinned separately for each Python version/pydantic combo, consider factoring shared constraints into a common base file to reduce duplication and the risk of version skew between these constraint files.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- Given that the same dependency set is pinned separately for each Python version/pydantic combo, consider factoring shared constraints into a common base file to reduce duplication and the risk of version skew between these constraint files.

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud