Metadata-Version: 2.4
Name: cactis
Version: 0.0.1
Summary: Coarse-grained Asymmetric Cycles in Time Series
Author-email: Benjamin Jones <jones657@msu.edu>, Kristin Kurianski <kkurianski@fullerton.edu>, Miguel Lopez <mlopez3@sas.upenn.edu>, Christopher Potvin <cpotvin@warren-wilson.edu>, Sunia Tanweer <tanweer1@msu.edu>, Tobias Timofeyev <tobias.timofeyev@uvm.edu>
License: MIT License
        
        Copyright (c) 2025 Benjamin Jones and Kristin Kurianski and Miguel Lopez and Christopher Potvin and Sunia Tanweer and Tobias Timofeyev
        
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Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pytest>=7.4.0
Requires-Dist: gudhi>=3.11.0
Requires-Dist: numpy>=2.2.5
Requires-Dist: networkx
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: plotly
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Dynamic: license-file

# CACTIS

CACTIS: Coarse-grained Asymmetric Cycles in Time Series

# Work in progress

Companion code to a topological data analysis project on dynamics-aware filtrations initiated at the 2024 AMS Mathematics Research Community (MRC) for Climate Science at the Interface Between Topological Data Analysis and Dynamical Systems Theory.

# Dependencies



# Acknowledgements
The authors thank Davide Faranda, Théo Lacombe, Nina Otter, and Kristian Strommen for organizing the MRC.  The authors also thank Joshua Dorrington for helpful discussions.
This material is based upon work supported by the National Science Foundation under Grant No. 1916439.
