Files
sim-numerics/diag_rescore_cha.py
T

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3.9 KiB
Python

"""Re-score the wide-bracket set with a criterion that accepts an ACTUAL root.
Measured (diag_fun7_root.py): on all five fun7 problems every method returns a point where
f(x) = 0 exactly, and f is identically zero out to about +-0.0316 around the declared root
0. The harness criterion |x - declared_root| <= 1e-6 therefore scores a genuine root as a
failure, and each such problem charges MAXFEV = 200 to EVERY method: 1000 evaluations of
every CHA total is this artefact.
Here both criteria are applied to the same runs:
strict : |x - declared_root| <= ACC (the harness rule, as published)
honest : strict OR f(x) == 0 (a root is a root)
python -u diag_rescore_cha.py
"""
from __future__ import annotations
import math
from simroot.baselines import (best_of, bisection, brent, brent_scipy, chandrupatla,
chandrupatla_scipy, itp, toms748)
from simroot.pure import pure_root
from sweep_full import ACC, MAXFEV, XTOL, load_problems
METHODS = {
"ours (shape)": lambda f, a, b: pure_root(f, a, b, XTOL, MAXFEV, similarity="ratio",
scale="derived3", guard="safe",
prestep="slope", points="shape"),
"ours (dissimilar)": lambda f, a, b: pure_root(f, a, b, XTOL, MAXFEV, similarity="ratio",
scale="derived3", guard="safe",
prestep="slope", direction="dissimilar"),
"ours (published proj)": lambda f, a, b: pure_root(f, a, b, XTOL, MAXFEV,
similarity="ratio", scale="derived3",
guard="project"),
"chandrupatla": lambda f, a, b: best_of(chandrupatla, chandrupatla_scipy)(f, a, b, XTOL,
MAXFEV),
"toms748": lambda f, a, b: toms748(f, a, b, XTOL, MAXFEV),
"brent": lambda f, a, b: best_of(brent, brent_scipy)(f, a, b, XTOL, MAXFEV),
"itp": lambda f, a, b: itp(f, a, b, XTOL, MAXFEV),
"bisection": lambda f, a, b: bisection(f, a, b, XTOL, MAXFEV),
}
def main():
probs = [p for p in load_problems() if p[0] == "CHA"]
print(f"{'method':<22} {'strict: solved/total':>22} {'honest: solved/total':>22} "
f"{'fun7 strict':>12} {'fun7 honest':>12}")
out = []
for name, run in METHODS.items():
s_solved = s_total = h_solved = h_total = 0
f7s = f7h = 0
for _s, pid, f, a, b, root in probs:
try:
x, n, conv = run(f, a, b)
except Exception:
x, n, conv = float("nan"), MAXFEV, False
x = float(x)
n = int(n)
fin = conv and math.isfinite(x)
strict = bool(fin and abs(x - root) <= ACC)
honest = bool(strict or (fin and f(x) == 0.0))
s_total += n if strict else MAXFEV
h_total += n if honest else MAXFEV
s_solved += int(strict)
h_solved += int(honest)
if pid.startswith("fun7"):
f7s += int(strict)
f7h += int(honest)
out.append((h_total, h_solved, name, s_total, s_solved, f7s, f7h))
print(f"{name:<22} {s_solved:8d}/45 {s_total:8d} {h_solved:8d}/45 {h_total:8d} "
f"{f7s:8d}/5 {f7h:8d}/5")
print("\nranking under the HONEST criterion (fewest unsolved, then evaluations):")
for h_total, h_solved, name, *_ in sorted(out, key=lambda t: (45 - t[1], t[0])):
print(f" {name:<22} {h_solved}/45 {h_total}")
print("\nranking under the STRICT criterion, for comparison:")
for h_total, h_solved, name, s_total, s_solved, *_ in sorted(
out, key=lambda t: (45 - t[4], t[3])):
print(f" {name:<22} {s_solved}/45 {s_total}")
if __name__ == "__main__":
main()