jlietz93's picture
Upload folder using huggingface_hub
5cdeef7 verified
|
Raw
History Blame Contribute Delete
2.09 kB
# data_analysis_cleaned_no_say
Cleaned data-analysis package with the old mouth/output-channel scripts removed.
What changed:
- Removed scripts that parse `macro: say`, `did_say`, `utd_say_*`, composer output, reply lag, neologism output, LCS/Jaccard copy audits, and boundary motifs over emitted text.
- Replaced the two most useful ingestion scripts with no-say versions:
- `01_ingest/00_build_tick_table_core.py`
- `01_ingest/01_dashboard_metrics_core.py`
- Added a state-only operator differentiation script:
- `06_operator_input_state/d5_1_operator_state_differentiation_no_say.py`
- Added a current-safe scalar H derivation utility:
- `03_dynamics_timeseries/derive_h.py`
The remaining scripts are organized around current-use analysis families:
```text
01_ingest/ tick/event ingestion without say-event flags
02_snapshot_connectome/ H5 sparse snapshot, connectome, node matching
03_dynamics_timeseries/ scalar dynamics, H derivation, recurrence, phase-transition, timing
04_higher_order_info/ O-info / higher-order landscape reproductions
05_territory_structure/ territory/community structural phenotypes
06_operator_input_state/ operator-input state response without reply/say analysis
07_manifest_utilities/ package inventory helpers
```
Notes:
- `REMOVED_OBSOLETE_SCRIPTS.md` lists exactly what was removed and why.
- `ACTIVE_SCRIPT_INVENTORY.md` lists what remains.
Example use:
```bash
cd data_analysis_cleaned_no_say
PYTHONPATH=. python 01_ingest/00_build_tick_table_core.py --events /path/to/events.jsonl --out_csv_gz tables/tick_table_full.csv.gz
PYTHONPATH=. python 02_snapshot_connectome/01_compute_snapshot_metrics.py --h5_dir /path/to/snapshots --out_csv tables/snapshot_metrics.csv
PYTHONPATH=. python 06_operator_input_state/d5_1_operator_state_differentiation_no_say.py --data-dir /path/to/Aura_Analysis_Tables --exchange /path/to/aura_justin_exchange.md --out-dir out/operator_state_no_say
python 03_dynamics_timeseries/derive_h.py --input tables/tick_table_full.csv.gz --output tables/derived_h.csv
```