PREREG_roots_jl outcome (server): variant A does NOT transfer by the stop rule on the Roots.jl / ModAB benchmark. 78 out-of-sample problems: total 1464 vs Chandrupatla 1566 (-6.5%, R1 holds), per problem 38/10/30 p=0.4 (R2 fails), guarantee held and all solved (R3); strict f24-f91 the same picture (1340 vs 1454, 35/6/25 p=0.25). B does not transfer either (32/11/35). Same structure as the first new corpus: multiple/flat roots 331 vs 481 (10:3); the rest 1133 vs 1085, per problem 28/10/27 - parity. Largest loss f32 (4 - tan x near the pole, 41 vs 12). Against Brent and TOMS748 A wins (47/25 p=0.013, 55/20 p=6e-5); they break the 2x-bisection bound on 11 and 9 problems, A on none.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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== MAIN (78 out-of-sample)
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base total 1884 solved 78/78 violations 0
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A total 1464 solved 78/78 violations 0
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B total 1537 solved 78/78 violations 0
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chandrupatla total 1566 solved 78/78 violations 0
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brent total 2455 solved 78/78 violations 11
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toms748 total 2339 solved 78/78 violations 9
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A: R1 ✓ (1464 vs 1566) R2 ✗ (38/10/30 p=0.4) R3 ✓ (viol 0, solved 78 vs 78) -> does NOT transfer
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vs brent total 1464 vs 2455 per problem 47/6/25 p=0.013
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vs toms748 total 1464 vs 2339 per problem 55/3/20 p=6.5e-05
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B: R1 ✓ (1537 vs 1566) R2 ✗ (32/11/35 p=0.81) R3 ✓ (viol 0, solved 78 vs 78) -> does NOT transfer
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vs brent total 1537 vs 2455 per problem 43/9/26 p=0.053
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vs toms748 total 1537 vs 2339 per problem 46/6/26 p=0.024
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== STRICT (f24-f91, out-of-sample)
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base total 1734 solved 66/66 violations 0
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A total 1340 solved 66/66 violations 0
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B total 1385 solved 66/66 violations 0
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chandrupatla total 1454 solved 66/66 violations 0
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brent total 2333 solved 66/66 violations 11
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toms748 total 2216 solved 66/66 violations 9
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A: R1 ✓ (1340 vs 1454) R2 ✗ (35/6/25 p=0.25) R3 ✓ (viol 0, solved 66 vs 66)
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vs brent total 1340 vs 2333 per problem 41/3/22 p=0.023
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vs toms748 total 1340 vs 2216 per problem 48/2/16 p=7.7e-05
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B: R1 ✓ (1385 vs 1454) R2 ✗ (29/7/30 p=1) R3 ✓ (viol 0, solved 66 vs 66)
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vs brent total 1385 vs 2333 per problem 37/8/21 p=0.048
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vs toms748 total 1385 vs 2216 per problem 41/6/19 p=0.0062
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== IN-SAMPLE overlaps (13, for reference)
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base total 142 solved 13/13 violations 0
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A total 153 solved 13/13 violations 0
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B total 154 solved 13/13 violations 0
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chandrupatla total 135 solved 13/13 violations 0
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brent total 128 solved 13/13 violations 0
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toms748 total 151 solved 13/13 violations 0
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A: R1 ✗ (153 vs 135) R2 ✗ (4/2/7 p=0.55) R3 ✓ (viol 0, solved 13 vs 13)
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vs brent total 153 vs 128 per problem 4/1/8 p=0.39
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vs toms748 total 153 vs 151 per problem 8/2/3 p=0.23
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B: R1 ✗ (154 vs 135) R2 ✗ (3/0/10 p=0.092) R3 ✓ (viol 0, solved 13 vs 13)
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vs brent total 154 vs 128 per problem 3/0/10 p=0.092
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vs toms748 total 154 vs 151 per problem 5/4/4 p=1
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PER PROBLEM, out-of-sample (A / B / Chandrupatla / Brent / TOMS748), * = unsolved:
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f01: 8 / 10 / 3 / 10 / 9
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f02: 12 / 12 / 10 / 13 / 10
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f03: 12 / 42 / 12 / 12 / 17
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f04: 9 / 9 / 9 / 10 / 11
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f07: 10 / 13 / 11 / 12 / 11
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f09: 10 / 9 / 10 / 10 / 11
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f10: 10 / 10 / 10 / 9 / 8
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f11: 11 / 10 / 10 / 9 / 7
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f16: 15 / 10 / 8 / 7 / 9
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f21: 10 / 9 / 9 / 10 / 10
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f22: 8 / 9 / 10 / 10 / 10
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f23: 9 / 9 / 10 / 10 / 10
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f24: 26 / 26 / 43 / 122 / 88
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f25: 27 / 27 / 43 / 106 / 76
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f26: 26 / 26 / 41 / 121 / 95
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f27: 17 / 25 / 14 / 32 / 25
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f28: 21 / 21 / 47 / 119 / 73
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f29: 16 / 16 / 12 / 30 / 25
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f30: 17 / 17 / 12 / 13 / 14
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f31: 5 / 13 / 13 / 12 / 18
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f32: 41 / 11 / 12 / 13 / 14
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f33: 17 / 20 / 12 / 14 / 13
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f34: 9 / 9 / 10 / 9 / 10
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f35: 20 / 22 / 16 / 11 / 15
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f36: 49 / 52 / 47 / 39 / 47
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f37: 19 / 19 / 17 / 31 / 29
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f38: 51 / 48 / 47 / 47 / 51
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f39: 59 / 58 / 47 / 73 / 97
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f40: 51 / 47 / 47 / 49 / 77
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f42: 9 / 9 / 11 / 10 / 10
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f43: 25 / 25 / 44 / 106 / 91
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f44: 30 / 30 / 44 / 104 / 106
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f45: 43 / 43 / 44 / 117 / 123
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f46: 14 / 15 / 14 / 15 / 19
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f47: 14 / 13 / 15 / 15 / 18
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f48: 14 / 19 / 17 / 16 / 15
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f49: 13 / 13 / 10 / 11 / 11
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f50: 10 / 13 / 10 / 12 / 13
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f51: 9 / 9 / 9 / 10 / 10
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f52: 18 / 16 / 14 / 17 / 22
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f53: 11 / 11 / 12 / 13 / 11
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f54: 7 / 7 / 7 / 8 / 9
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f55: 8 / 10 / 9 / 11 / 9
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f56: 9 / 10 / 9 / 11 / 10
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f57: 11 / 11 / 11 / 12 / 16
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f58: 8 / 9 / 10 / 10 / 10
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f59: 12 / 10 / 9 / 13 / 13
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f60: 7 / 7 / 8 / 8 / 8
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f61: 10 / 12 / 11 / 11 / 11
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f63: 9 / 11 / 10 / 10 / 10
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f64: 8 / 8 / 9 / 9 / 9
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f65: 8 / 8 / 9 / 9 / 9
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f66: 14 / 13 / 12 / 10 / 13
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f67: 11 / 11 / 12 / 12 / 12
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f68: 7 / 8 / 9 / 8 / 8
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f69: 8 / 8 / 10 / 10 / 11
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f70: 10 / 10 / 12 / 11 / 13
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f71: 5 / 13 / 11 / 13 / 16
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f72: 29 / 25 / 48 / 110 / 112
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f73: 26 / 26 / 43 / 120 / 91
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f74: 26 / 26 / 43 / 122 / 91
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f75: 13 / 18 / 27 / 66 / 61
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f76: 44 / 44 / 43 / 43 / 43
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f77: 51 / 43 / 43 / 46 / 66
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f78: 48 / 48 / 43 / 44 / 45
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f79: 47 / 43 / 40 / 40 / 39
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f80: 23 / 27 / 29 / 21 / 21
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f81: 57 / 44 / 50 / 45 / 39
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f82: 4 / 4 / 5 / 4 / 5
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f83: 32 / 25 / 48 / 106 / 76
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f84: 8 / 8 / 13 / 8 / 19
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f85: 14 / 53 / 15 / 12 / 13
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f86: 19 / 21 / 13 / 16 / 17
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f87: 5 / 33 / 11 / 12 / 14
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f88: 15 / 15 / 12 / 13 / 13
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f89: 16 / 14 / 14 / 14 / 19
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f90: 16 / 15 / 12 / 15 / 14
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f91: 14 / 14 / 10 / 13 / 15
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rootsjl done
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"""PREREG_roots_jl_2026-09-21: variants A, B, the plain rule and the three library rivals on
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the Roots.jl / ModAB bracketing benchmark (corpus_roots_jl.py).
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python -u sweep_rootsjl.py run -> sweep_rootsjl.json, then the verdicts
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python -u sweep_rootsjl.py --report verdicts only
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"""
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from __future__ import annotations
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import json
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import math
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import sys
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from multiprocessing import Pool
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from corpus_roots_jl import build, solved
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from sweep_full import MAXFEV, XTOL, make_method
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from sweep_oos import CONFIGS as OOS_CONFIGS
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from sweep_oos import sign_p
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NAMES = ("base", "A", "B", "chandrupatla", "brent", "toms748")
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def evaluate(name):
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method = make_method(OOS_CONFIGS[name])
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probs, _ = build()
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res = {}
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for pid, f, a, b, ins in probs:
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try:
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x, n, conv = method(f, a, b, XTOL, MAXFEV)
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x = float(x)
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except Exception:
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x, n, conv = float("nan"), MAXFEV, False
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ok = bool(conv and solved(f, x))
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over = ok and int(n) > 2 * math.ceil(math.log2(abs(b - a) / XTOL)) + 4
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res[pid] = [int(n), ok, bool(over), bool(ins)]
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return name, res
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def cost(v):
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return v[0] if v[1] else MAXFEV
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def report(R):
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keep_main = lambda pid, v: not v[3]
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keep_strict = lambda pid, v: not v[3] and int(pid[1:]) >= 24
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keep_ins = lambda pid, v: v[3]
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ch = R["chandrupatla"]
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for title, keep in (("MAIN (78 out-of-sample)", keep_main),
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("STRICT (f24-f91, out-of-sample)", keep_strict),
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("IN-SAMPLE overlaps (13, for reference)", keep_ins)):
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print(f"\n== {title}")
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for k in NAMES:
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r = R[k]
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sel = {p: v for p, v in r.items() if keep(p, v)}
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print(f" {k:<14} total {sum(cost(v) for v in sel.values()):6d} "
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f"solved {sum(v[1] for v in sel.values()):3d}/{len(sel)} "
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f"violations {sum(v[2] for v in sel.values())}")
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for v_name in ("A", "B"):
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r = R[v_name]
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sel = [p for p, v in r.items() if keep(p, v)]
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tot = sum(cost(r[p]) for p in sel)
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tot_ch = sum(cost(ch[p]) for p in sel)
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w = sum(cost(r[p]) < cost(ch[p]) for p in sel)
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l = sum(cost(r[p]) > cost(ch[p]) for p in sel)
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t = len(sel) - w - l
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viol = sum(r[p][2] for p in sel)
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sv, sc = sum(r[p][1] for p in sel), sum(ch[p][1] for p in sel)
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r1, r2, r3 = tot < tot_ch, w > l and sign_p(w, l) < 0.05, viol == 0 and sv >= sc
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line = (f" {v_name}: R1 {'✓' if r1 else '✗'} ({tot} vs {tot_ch}) R2 {'✓' if r2 else '✗'} "
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f"({w}/{t}/{l} p={sign_p(w, l):.2g}) R3 {'✓' if r3 else '✗'} (viol {viol}, "
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f"solved {sv} vs {sc})")
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if keep is keep_main:
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line += " -> " + ("TRANSFERS" if r1 and r2 and r3 else "does NOT transfer")
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print(line)
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for rn in ("brent", "toms748"):
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o = R[rn]
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w2 = sum(cost(r[p]) < cost(o[p]) for p in sel)
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l2 = sum(cost(r[p]) > cost(o[p]) for p in sel)
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print(f" vs {rn:<8} total {tot} vs {sum(cost(o[p]) for p in sel)} "
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f"per problem {w2}/{len(sel) - w2 - l2}/{l2} p={sign_p(w2, l2):.2g}")
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print("\nPER PROBLEM, out-of-sample (A / B / Chandrupatla / Brent / TOMS748), * = unsolved:")
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for p, v in R["A"].items():
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if v[3]:
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continue
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cells = []
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for k in ("A", "B", "chandrupatla", "brent", "toms748"):
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c = R[k][p]
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cells.append(f"{c[0]}{'' if c[1] else '*'}")
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print(f" {p}: " + " / ".join(cells))
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def main():
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if "--report" not in sys.argv:
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with Pool(len(NAMES)) as pool:
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R = dict(pool.map(evaluate, NAMES))
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with open("sweep_rootsjl.json", "w", encoding="utf8") as fh:
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json.dump(R, fh)
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with open("sweep_rootsjl.json", encoding="utf8") as fh:
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R = json.load(fh)
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report(R)
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print("rootsjl done")
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if __name__ == "__main__":
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main()
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Reference in New Issue
Block a user