Introduction ============ Context ------- The widespread use in applied topology of the barcode of filtered cellular complexes rests on a balance between discriminatory power and computability. It has long been envision that the strength of this invariant could be increase using cohomology operations. This package computes the recently defined *Sq*\ \ *k*\ -barcodes which have been shown to effectively increase the discriminatory power of barcodes on real-world data. For a complete presentation of these invariants please consult `Persistence Steenrod modules `__ by U. Lupo, A. Medina-Mardones and G. Tauzin. License ------- ``steenroder`` is distributed under the `MIT license `__. Installation ------------ Dependencies ~~~~~~~~~~~~ The latest stable version of ``steenroder`` requires: - python (>= 3.8) - numpy (>= 1.19.1) - numba (>= 0.53.0) - psutils (>= 5.8.0) - gudhi (>= 3.5.0) - plotly (>= 5.3.1) To run the examples, jupyter is required. .. _installation-1: Installation ~~~~~~~~~~~~ The simplest way to install ``steenroder`` is using ``pip`` :: python -m pip install -U steenroder If necessary, this will also automatically install all the above dependencies. Note: we recommend upgrading ``pip`` to a recent version as the above may fail on very old versions. Contributing ------------ We welcome new contributors of all experience levels. The Steenroder community goals are to be helpful, welcoming, and effective. To learn more about making a contribution to ``steenroder``, please consult the `relevant page `__. Testing ~~~~~~~ After developer installation, you can launch the test suite from outside the source directory: :: pytest steenroder Citing steenroder ----------------- If you use ``steenroder`` in a scientific publication, we would appreciate citations to the following paper: `Persistence Steenrod modules `__ You can use the following BibTeX entry: :: @article{steenroder, author = {{Lupo}, Umberto and {Medina-Mardones}, Anibal M. and {Tauzin}, Guillaume}, title = "{Persistence Steenrod modules}", journal = {arXiv e-prints}, archivePrefix = {arXiv}, eprint = {1812.05031}, primaryClass = {math.AT}, adsurl = {https://ui.adsabs.harvard.edu/abs/2018arXiv181205031L}, }