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77dfe62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | """The operating point, shared by the runtime, the export check and the scorecard so they never disagree.
A pair is hostile exactly when its hostility probability reaches tau. Then the act is the most likely hostile class
(or a demand, at high intensity, when demand is the top class). Otherwise it is the most likely non-hostile class, and
a demand is held below high intensity. So the tags the meters receive are hostile exactly when the scorecard says so.
"""
from __future__ import annotations
from contracts.schemas.line_tags import ACTS, HOSTILE_ACTS
def decide(pa, p_host: float, tau: float, intensity: str) -> tuple[str, str]:
"""pa: probabilities over ACTS; intensity: the intensity head's top class. Returns (act, intensity)."""
order = sorted(range(len(ACTS)), key=lambda i: -float(pa[i]))
if p_host >= tau:
if ACTS[order[0]] == "demand":
return "demand", "high"
act = next(ACTS[i] for i in order if ACTS[i] in HOSTILE_ACTS)
return act, intensity
act = next(ACTS[i] for i in order if ACTS[i] not in HOSTILE_ACTS)
if act == "demand" and intensity == "high":
intensity = "medium"
return act, "low" if act == "none" else intensity
def summed_hostility(pa) -> float:
"""For models without a hostility head: the probability mass on the hostile classes."""
return float(sum(float(pa[ACTS.index(a)]) for a in HOSTILE_ACTS))
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