Levi Neuwirth
dc48988450
run_analysis(config) loads the predictions files named in the config, applies the configured segmentation, dispatches to the selected analysis kind (DTW, stats, or none), and emits a fully populated AnalysisReport. The report's Provenance inherits the inference-time envelope from the primary input with analysis_config stamped in, so the output is self-describing even if the source YAML is later lost. For DTW runs with segmentation, segments are paired one-to-one by index across primary and reference, truncating to min of the two counts. Bilateral segmentations emit per-side distances under "left_heel_strikes[i]" / "right_heel_strikes[i]" labels. dtw_per_joint stores its full per-unit breakdown in the per_joint_distances field and reports the sum as the representative scalar distance. Also ships load_config (YAML), save_report (atomic JSON write), and load_report (rehydrate via the migration chain) so the executor can be driven end-to-end from Python without the CLI. The CLI wiring lands in the next commit. |
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| .. | ||
| test_analyzer_dtw.py | ||
| test_analyzer_features.py | ||
| test_analyzer_pipeline.py | ||
| test_analyzer_segment.py | ||
| test_benchmark.py | ||
| test_cli.py | ||
| test_config.py | ||
| test_estimator.py | ||
| test_ingest.py | ||
| test_interfacer.py | ||
| test_io.py | ||
| test_migrations.py | ||
| test_monitor.py | ||
| test_reset.py | ||
| test_visualize.py | ||