OPHI DRIFT STRESS TEST — SELF CONTAINED
1:34:28 AM
OPHI DRIFT STRESS TEST — SELF CONTAINED
import random
---- CORE ----
def omega(state, bias, alpha):
return (state + bias) * alpha
SE44 = {
"coherence_min": 0.985,
"entropy_max": 0.01,
"drift_max": 0.001,
}
def coherence():
return round(random.uniform(0.986, 0.999), 5)
def stressed_entropy():
return round(random.uniform(0.008, 0.02), 5) # exceeds entropy bound
def stressed_drift():
return round(random.uniform(0.0008, 0.002), 6) # exceeds drift bound
def emit_stressed(state, bias, alpha):
Ω = omega(state, bias, alpha)
C = coherence()
E = stressed_entropy()
D = stressed_drift()
accepted = (
C >= SE44["coherence_min"]
and E <= SE44["entropy_max"]
and D <= SE44["drift_max"]
)
return {
"omega": round(Ω, 6),
"coherence": C,
"entropy": E,
"rms_drift": D,
"status": "FOSSILIZED" if accepted else "REJECTED",
}
---- RUN ----
alpha = 1.12
stress_results = []
for _ in range(5):
state = round(random.uniform(0.2, 0.7), 4)
bias = round(random.uniform(0.1, 0.5), 4)
stress_results.append(emit_stressed(state, bias, alpha))
stress_results
[{'omega': 1.053136, 'coherence': 0.99672, 'entropy': 0.01916, 'rms_drift': 0.001074, 'status': 'REJECTED'}, {'omega': 1.134336, 'coherence': 0.99342, 'entropy': 0.01622, 'rms_drift': 0.001178, 'status': 'REJECTED'}, {'omega': 0.69776, 'coherence': 0.9923, 'entropy': 0.0155, 'rms_drift': 0.001507, 'status': 'REJECTED'}, {'omega': 0.87416, 'coherence': 0.99434, 'entropy': 0.01826, 'rms_drift': 0.00088, 'status': 'REJECTED'}, {'omega': 1.163232, 'coherence': 0.99128, 'entropy': 0.01835, 'rms_drift': 0.001143, 'status': 'REJECTED'}]
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