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- # fidelity.py
- # Keep fidelity/importance generators small and explicit.
- import random
- def generate_fidelity_list_random(path_num: int, alpha: float = 0.95, beta: float = 0.85, variance: float = 0.04):
- """
- Generate `path_num` fidelities.
- One "good" link around alpha, the rest around beta, clipped to [0.5, 1.0].
- """
- vals = []
- for i in range(path_num):
- mu = alpha if i == 0 else beta
- # simple Gaussian around mu, but clipped
- v = random.gauss(mu, variance**0.5)
- v = max(0.5, min(1.0, v))
- vals.append(v)
- # shuffle so the "good" link is not always index 0
- random.shuffle(vals)
- return vals
- def generate_importance_list_random(n: int, low: float = 0.5, high: float = 2.0):
- """Return a list of n importances I_n ~ Uniform[low, high]."""
- return [random.uniform(low, high) for _ in range(n)]
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