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try fo fix CI
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.github/actions/build-docs/action.yml

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@@ -63,7 +63,7 @@ runs:
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shell: bash
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run: |
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#JSON=$(cat ${GITHUB_WORKSPACE}/docs/_static/versions.json)
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JSON=$(curl -s "https://raw.githubusercontent.com/kaizhang/SnapATAC2/main/docs/_static/versions.json")
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JSON=$(curl -s "https://raw.githubusercontent.com/scverse/SnapATAC2/main/docs/_static/versions.json")
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VERSION=$(echo "$JSON" | jq -r '.[] | select(.preferred == true) | .version')
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echo "PREFERRED_VERSION=$VERSION" >> $GITHUB_ENV
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echo "Preferred version is $VERSION"

.github/workflows/nightly.yml

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build-wheel:
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needs: check-for-new-commits
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if : ${{ needs.check-for-new-commits.outputs.NEW_COMMITS == 'true' }}
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uses: kaizhang/SnapATAC2/.github/workflows/wheels.yml@main
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uses: scverse/SnapATAC2/.github/workflows/wheels.yml@main
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publish:
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needs: build-wheel

.github/workflows/test_python.yml

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build-wheel:
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needs: build-and-test
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if: ${{ startsWith(github.ref, 'refs/tags/') || contains(github.event.head_commit.message, '[wheel]') }}
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uses: kaizhang/SnapATAC2/.github/workflows/wheels.yml@main
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uses: scverse/SnapATAC2/.github/workflows/wheels.yml@main
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publish:
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needs: build-wheel

README.md

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@@ -3,8 +3,8 @@ SnapATAC2: A Python/Rust package for single-cell epigenomics analysis
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![PyPI](https://img.shields.io/pypi/v/snapatac2)
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![PyPI - Downloads](https://img.shields.io/pypi/dm/snapatac2)
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![Continuous integration](https://github.com/kaizhang/SnapATAC2/workflows/test-python-package/badge.svg)
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![GitHub Repo stars](https://img.shields.io/github/stars/kaizhang/SnapATAC2?style=social)
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![Continuous integration](https://github.com/scverse/SnapATAC2/workflows/test-python-package/badge.svg)
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![GitHub Repo stars](https://img.shields.io/github/stars/scverse/SnapATAC2?style=social)
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> [!TIP]
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> Got raw fastq files? Check out our new single-cell preprocessing package [precellar](https://github.com/regulatory-genomics/precellar)!
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- Seamless integration with other single-cell analysis packages such as Scanpy.
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- Implementation of fully backed AnnData.
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Resources
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---------
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Documentation
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-------------
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- **Full Documentation**: https://kzhang.org/SnapATAC2/
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- **Installation instructions**: https://kzhang.org/SnapATAC2/install.html
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- **Tutorial/Demo**: https://kzhang.org/SnapATAC2/tutorials/index.html
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- **Benchmarks**: https://github.com/kaizhang/single-cell-benchmark
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- **Full Documentation**: https://scverse.org/SnapATAC2/
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- **Installation instructions**: https://scverse.org/SnapATAC2/install.html
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- **Tutorial/Demo**: https://scverse.org/SnapATAC2/tutorials/index.html
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How to cite
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-----------

docs/conf.py

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# -- Project information -----------------------------------------------------
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project = 'SnapATAC2'
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copyright = '2022-2024, Kai Zhang'
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copyright = '2022-2025, Kai Zhang'
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author = 'Kai Zhang'
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# -- General configuration ---------------------------------------------------
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"alt_text": "SnapATAC2",
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},
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"github_url": "https://github.com/kaizhang/SnapATAC2",
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"github_url": "https://github.com/scverse/SnapATAC2",
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"external_links": [
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{"name": "Learn", "url": "https://kzhang.org/epigenomics-analysis/"}
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],
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"switcher": {
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"version_match": switcher_version,
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"json_url": "https://raw.githubusercontent.com/kaizhang/SnapATAC2/main/docs/_static/versions.json",
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"json_url": "https://raw.githubusercontent.com/scverse/SnapATAC2/refs/heads/main/docs/_static/versions.json",
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},
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}
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commit = subprocess.check_output(['git', 'rev-parse', 'HEAD']).strip().decode('ascii')
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code_url = f"https://github.com/kaizhang/SnapATAC2/blob/{commit}"
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code_url = f"https://github.com/scverse/SnapATAC2/blob/{commit}"
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# based on numpy doc/source/conf.py
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def linkcode_resolve(domain, info):

docs/install.md

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latest features, enhancements, and bug fixes that haven't been released.
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The nightly build can be unstable and include some untested features.
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The [nightly release](https://github.com/kaizhang/SnapATAC2/releases/tag/nightly) page
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The [nightly release](https://github.com/scverse/SnapATAC2/releases/tag/nightly) page
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contains wheel files for the nightly build.
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Please download the corresponding wheel file for your platform and use `pip install` to install it.
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For example, if you are using a Linux system with Python 3.8, you can use the following command to install it:
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Once you have the Rust compiler properly installed, you can use pip to install the SnapATAC2 library:
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```
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pip install 'git+https://github.com/kaizhang/SnapATAC2.git#egg=snapatac2&subdirectory=snapatac2-python'
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pip install 'git+https://github.com/scverse/SnapATAC2.git#egg=snapatac2&subdirectory=snapatac2-python'
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```
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Optional dependencies

snapatac2-contrib/setup.py

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description='SnapATAC2: Single-cell epigenomics analysis pipeline',
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long_description=README,
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long_description_content_type='text/markdown',
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url='https://kzhang.org/SnapATAC2/',
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url='https://scverse.org/SnapATAC2/',
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license='MIT',
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version=VERSION['__version__'],
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packages=[

snapatac2-python/README.md

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SnapATAC2
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=========
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Please read the [Documentation](https://kzhang.org/SnapATAC2/).
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Please read the [Documentation](https://scverse.org/SnapATAC2/).

snapatac2-python/pyproject.toml

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]
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[project.urls]
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Homepage = "https://kzhang.org/SnapATAC2/index.html"
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Documentation = "https://kzhang.org/SnapATAC2/index.html"
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Repository = "https://kzhang.org/SnapATAC2/"
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Issues = "https://github.com/kaizhang/SnapATAC2/issues"
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Changelog = "https://kzhang.org/SnapATAC2/version/dev/changelog.html"
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Homepage = "https://scverse.org/SnapATAC2/index.html"
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Documentation = "https://scverse.org/SnapATAC2/index.html"
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Repository = "https://scverse.org/SnapATAC2/"
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Issues = "https://github.com/scverse/SnapATAC2/issues"
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Changelog = "https://scverse.org/SnapATAC2/version/dev/changelog.html"
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[project.optional-dependencies]
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recommend = [

snapatac2-python/python/snapatac2/preprocessing/_basic.py

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various functions to generate submatrices on the fly.
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Features that are zero in all cells will be always removed regardless of the
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filtering criteria.
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For more discussion about feature selection, see: https://github.com/kaizhang/SnapATAC2/discussions/116.
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For more discussion about feature selection, see: https://github.com/scverse/SnapATAC2/discussions/116.
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Parameters
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----------
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If greater than 1, this function will perform iterative clustering and feature selection
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based on variable features found using previous clustering results.
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This is similar to the procedure implemented in ArchR, but we do not recommend it,
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see https://github.com/kaizhang/SnapATAC2/issues/111.
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see https://github.com/scverse/SnapATAC2/issues/111.
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Default value is 1, which means no iterative clustering is performed.
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inplace
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Perform computation inplace or return result.

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