All notable changes to this project will be documented in this file.
- Core
RealityAnomalyDetectorclass with four analysis methods:- Shannon entropy
- Autocorrelation (configurable lag)
- Discretization score
- Run-length deviation
AnalysisReportdataclass withto_dict()serialization- CSV loader (
load_series_from_csv) with auto column detection - CLI entry point (
reality-detector) with text and JSON output python -m reality_detectorsupport- Example CSV dataset
- GitHub Actions CI (Python 3.9 – 3.12)
- MIT license