# HIPG Formal Toy v0.3

Run:

```bash
python hipg_toy_v0_3.py
```

Run tests:

```bash
python -m unittest -v test_hipg_v0_3.py
```

## v0.3 additions

- Active information-gain probe selection
- Noisy active quotient learning
- Finite-evidence MERGE
- TSSH weight calibration
- Bridge round-trip / commutativity checks
- Feasibility-point instrumentation
- Unified certificate library

`hipg_v02_core.py` is bundled to preserve v0.2 benchmark compatibility.

This package is an executable finite scaffold, not a proof of HIPG / B-TSDPC.