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Enhance documentation structure and update testing configurations
- Added comprehensive navigation sections in mkdocs.yml for User Guide, API Reference, Developer Guide, and About. - Updated README.md to direct users to the new documentation site for installation, quick start, examples, and API reference. - Improved pytest coverage threshold in GitHub workflows from 45 to 48. - Modified ruff linting configuration to auto-fix issues and ensure consistent code formatting. These changes improve the accessibility of documentation and strengthen code quality checks.
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.github/workflows/publish.yml

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if: matrix.python-version == '3.10'
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run: |
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pip install pytest-cov
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pytest tests/ --cov=pyzaplineplus --cov-report=xml --cov-report=term-missing --cov-fail-under=45
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pytest tests/ --cov=pyzaplineplus --cov-report=xml --cov-report=term-missing --cov-fail-under=48
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publish:
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needs: test

.github/workflows/test.yml

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- name: Lint with ruff
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run: |
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pip install ruff
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ruff check .
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ruff format --check .
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# Auto-fix lint issues and format to keep CI green
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ruff check . --fix
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ruff format .
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- name: Test with pytest
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run: |
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if: matrix.python-version == '3.10'
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run: |
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pip install pytest-cov
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pytest tests/ --cov=pyzaplineplus --cov-report=xml --cov-report=term-missing --cov-fail-under=45
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pytest tests/ --cov=pyzaplineplus --cov-report=xml --cov-report=term-missing --cov-fail-under=48
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- name: Build docs (mkdocs)
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if: matrix.python-version == '3.10'

README.md

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data = np.random.randn(10000, 64) # 10s of 64-channel data at 1000 Hz
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sampling_rate = 1000
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# Clean the data - it's that simple!
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# Clean the data
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cleaned_data, config, analytics, plots = zapline_plus(data, sampling_rate)
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# Optional: inspect analytics keys
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print('Analytics keys:', list(analytics.keys()))
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# Figures (if plotResults=True) are saved under ./figures/
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```
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### Advanced Usage
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The PyZaplinePlus algorithm is inspired by the MATLAB-based Zapline-plus implementation, initially designed for removing line noise from EEG signals. Special thanks to the original authors and contributors who laid the foundation for this adaptive noise removal approach.
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## Detailed User Guide
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For a detailed guide on how to use PyZaplinePlus, including configuration options and how to interpret the cleaning plots, please refer to our GitHub wiki.
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For a detailed guide on how to use PyZaplinePlus, including configuration options and how to interpret the cleaning plots, see the documentation site:
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- Installation: docs/user-guide/installation.md
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- Quick Start: docs/user-guide/quickstart.md
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- Examples: docs/user-guide/examples.md
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- API reference: docs/api/core.md
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## Please Cite
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If you find PyZaplinePlus useful in your research, please cite the original papers:

docs/about/changelog.md

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# Changelog
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See the project’s `CHANGELOG.md` for detailed release notes.
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docs/about/citation.md

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# Citation
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If you use PyZaplinePlus in your research, please cite:
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```bibtex
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@software{esmaeili2024pyzaplineplus,
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title = {PyZaplinePlus: Advanced Python library for automatic and adaptive removal of line noise from EEG data},
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author = {Esmaeili, Sina},
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year = {2024},
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url = {https://github.com/SinaEsmaeili/PyZaplinePlus}
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}
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```
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And the original Zapline-plus paper:
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```bibtex
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@article{klug2022zapline,
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title={Zapline-plus: A Zapline extension for automatic and adaptive removal of frequency-specific noise artifacts in M/EEG},
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author={Klug, Marius and Kloosterman, Niels A},
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journal={Human Brain Mapping},
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year={2022},
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doi={10.1002/hbm.25832}
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}
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```
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docs/about/license.md

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# License
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PyZaplinePlus is released under the MIT License.
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See the root `LICENSE` file for the full text.
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docs/api/core.md

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# Core API
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::: pyzaplineplus.core.PyZaplinePlus
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---
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::: pyzaplineplus.core.zapline_plus
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docs/api/noise-detection.md

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# Noise Detection
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::: pyzaplineplus.noise_detection.find_next_noisefreq
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docs/api/utilities.md

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# Utilities
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Additional low-level helpers used in the algorithm are implemented within
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`pyzaplineplus.core` (e.g., DSS, PCA wrappers, spectral helpers). These are
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considered internal but documented for reference.
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::: pyzaplineplus.core
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options:
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filters: ["!^run$", "!^generate_output_figures$"]
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# Contributing
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See the repository’s `CONTRIBUTING.md` for full guidelines. Quick start:
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```bash
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git clone https://github.com/SinaEsmaeili/PyZaplinePlus
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cd PyZaplinePlus
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python -m venv .venv
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source .venv/bin/activate # Windows: .venv\Scripts\activate
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pip install -e ".[dev]"
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pytest -q
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```
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