Update pull_request_template.md

[kbhalajiyadav]

Add notebook integrity check workflow

Summary

This pull request adds a lightweight GitHub Actions workflow that validates the root-level Jupyter notebook structure whenever a notebook is changed in a pull request or pushed to main.

Type of change

• Documentation update
• Bug fix
• New analysis feature
• Workflow or notebook update
• Dependency/environment update
• Figure/table/output update
• Repository maintenance
• Other

What changed?

• Added .github/workflows/notebook-check.yml.
• The workflow checks that root-level .ipynb files can be parsed as JSON.
• The workflow verifies that each notebook has a cells field and that each cell has cell_type and source.

Why is this change needed?

Direct notebook editing can easily introduce JSON errors, missing commas, or corrupted cell structure. This check provides a basic automated safeguard before merging notebook changes into main.

Reproducibility impact

• Input data
• Data preprocessing
• Analysis settings
• Metric definitions
• Output files
• Figures or tables
• Dependency versions
• Release or DOI documentation
• No reproducibility impact

Explanation:

This adds repository-level validation only. It does not change the notebook analysis logic, manuscript-baseline settings, metric definitions, dependencies, or outputs.

Testing / verification

• Added a GitHub Actions workflow for notebook JSON validation.
• Workflow is expected to run on pull requests that modify .ipynb files or the workflow file itself.
• Confirmed the check passes on GitHub.

Manuscript or public-release relevance

• Affects manuscript/public-release results
• Does not affect manuscript/public-release results
• Not applicable

Explanation:

This PR adds an automated repository check only. It does not affect submitted, archived, or manuscript-baseline numerical results.

Checklist

• The change is focused and described clearly.
• README or documentation was updated if needed.
• CHANGELOG was updated if appropriate.
• Dependency files were updated if needed.
• Generated or temporary files were not accidentally committed.
• Large or sensitive data were not committed without approval.