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flagserpy is a python API for the flagser C++ library by Daniel Lütgehetmann which computes the homology of directed flag complexes, it’s forked from pyflagser which is no longer being actively maintained. Please check out the original luetge/flagser GitHub repository for more information.

Project genesis

pyflagser is the result of a collaborative effort between L2F SA, the Laboratory for Topology and Neuroscience at EPFL, and the Institute of Reconfigurable & Embedded Digital Systems (REDS) of HEIG-VD. flagserpy is a continuation of this project by Jason P. Smith (NTU) and the Algebraic Topology and Networks in Biology of the Max Planck Institute of Molecular Cell Biology and Genetics.

Installation

Dependencies

flagserpy requires:

  • Python (>= 3.8)

  • NumPy (>= 1.17.0)

  • SciPy (>= 0.17.0)

User installation

If you already have a working installation of numpy and scipy, the easiest way to install flagserpy is using pip

python -m pip install -U flagserpy

Documentation

API reference (stable release): https://docs-pyflagser.giotto.ai

Contributing

We welcome new contributors of all experience levels.

Developer installation

C++ dependencies:

  • C++14 compatible compiler

  • CMake >= 3.15

Source code

You can check the latest sources with the command:

git clone https://github.com/TopNetBio/flagserpy.git

To install:

From the cloned repository’s root directory, run

python -m pip install -e ".[tests]"

This way, you can pull the library’s latest changes and make them immediately available on your machine.

Testing

After installation, you can launch the test suite from outside the source directory:

pytest flagserpy

Changelog

See the RELEASE.rst file for a history of notable changes to flagserpy.

Contacts:

jason.smith@ntu.ac.uk

Metadata

Release files for flagserpy 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for flagserpy 0.1.0
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flagserpy-0.1.0.tar.gz 501.7 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for flagserpy 0.1.0
File
flagserpy-0.1.0-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
flagserpy-0.1.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.17+ x86-64 Details
flagserpy-0.1.0-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
flagserpy-0.1.0-cp314-cp314-macosx_10_13_x86_64.whl CPython 3.14 CPython 3.14 macOS 10.13+ x86-64 Details
flagserpy-0.1.0-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
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flagserpy-0.1.0-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
flagserpy-0.1.0-cp313-cp313-macosx_10_13_x86_64.whl CPython 3.13 CPython 3.13 macOS 10.13+ x86-64 Details
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flagserpy-0.1.0-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
flagserpy-0.1.0-cp312-cp312-macosx_10_13_x86_64.whl CPython 3.12 CPython 3.12 macOS 10.13+ x86-64 Details
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flagserpy-0.1.0-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
flagserpy-0.1.0-cp311-cp311-macosx_10_9_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details
flagserpy-0.1.0-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
flagserpy-0.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
flagserpy-0.1.0-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
flagserpy-0.1.0-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
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flagserpy-0.1.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
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flagserpy-0.1.0-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
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flagserpy-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details

Total release size: 14.7 MB

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