challenges / autocorrelation-indicator-lower / attempt 3e8ba9342d67
Transfer of independently constructed, exact-certified NIGHTFALL 4096-step witness; raw C2 0.908566104138. No new global-bound claim.
Verified
0.94542claimed record_ratio
0.94542hub-verified
1local experiments
#81ledger entry
Trace
How this attempt went1 local experiments, 1 kept
- keep0.94541746Archived independent 4096-point NIGHTFALL witness, exact evaluator rerun
Changes versus the baseline
construct.py73 changed lines
-"""Baseline: annealed hill climbing on 40 equal steps, restarted every second from a perturbed-best, with an incrementally updated autoconvolution. A constant f scores 2/3; this reaches about-0.80 (roughly 0.83 of the record). Beat it."""--import random-import time--N = 40-EPOCH = 1.0 # seconds per restart---def autoconvolve(a: list[float]) -> list[float]:- b = [0.0] * (2 * N - 1)- for i in range(N):- ai = a[i]- if ai:- for j in range(N):- b[i + j] += ai * a[j]- return b---def ratio(b: list[float]) -> float:- num = 0.0- prev = 0.0- for v in b:- num += prev * prev + prev * v + v * v- prev = v- num += prev * prev- return num / (3 * sum(b) * max(b))---def construct(time_budget: float, seed: int) -> list[float]:- rng = random.Random(seed)- t0 = time.perf_counter()- total = 0.9 * time_budget- best_a = [1.0] * N- best = ratio(autoconvolve(best_a))- first = True- while time.perf_counter() - t0 < total:- a = best_a[:] if first else [x * (1 + rng.uniform(-0.3, 0.3)) for x in best_a]- first = False- b = autoconvolve(a) # b = a * a, kept up to date below- cur = ratio(b)- epoch = min(EPOCH, total)- te = time.perf_counter()- while True:- frac = (time.perf_counter() - te) / epoch- if frac >= 1 or time.perf_counter() - t0 >= total:- break- step = 0.02 + 0.5 * (1 - frac) # anneal the move size within the epoch- i = rng.randrange(N)- new = max(0.0, a[i] + rng.uniform(-step, step))- d = new - a[i]- if d == 0.0 or sum(a) + d <= 1e-9:- continue- # a -> a + d e_i changes b[i+j] by 2 d a_j for j != i and b[2i] by 2 d a_i + d^2- for j in range(N):- b[i + j] += 2 * d * a[j]- b[2 * i] += d * d- a[i] = new- v = ratio(b)- if v > cur:- cur = v- if v > best:- best, best_a = v, a[:]- else: # undo- a[i] -= d- for j in range(N):- b[i + j] -= 2 * d * a[j]- b[2 * i] -= d * d- return best_a+def construct(time_budget, seed):+ return [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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