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WP28: TCP protocol + worker + benchmark launcher, processing/figures, boundary/ablation/skew experiments

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Simon-Pierre Boucher committed (Oct 28, 2026) parent 63bdb07 Browse files

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added experiments/configs/benchmarks.yaml +24 −0
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1+# Real multi-node benchmarks. Coordinator on M4M64a (LAN 192.168.2.70); workers on other nodes (several processes per node).
2+coordinator: {alias: M4M64a, lan_ip: 192.168.2.70}
3+port: 50600
4+designs:
5+ # (1) scaling in number of hosts at fixed K = 16 workers: 1, 2, 4, 8, 16 hosts (logistic p = 8, N = 2^22, half-block + 1 Newton)
6+ - {label: hosts1, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 16, nodes: [M3U96a]}
7+ - {label: hosts2, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 8, nodes: [M3U96a, M3U96b]}
8+ - {label: hosts4, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 4, nodes: [M3U96a, M3U96b, M2U64, M4M64b]}
9+ - {label: hosts8, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 2, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn]}
10+ - {label: hosts16, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
11+ # (2) protocol comparison at 16 hosts, equal exponent 7/8: (2,1) vs (1,2) vs (4,0)... plus (3,1), stale/single/quantized Hessians; p = 8 and p = 64
12+ - {label: cmp_r1q2, model: logistic, p: 8, N: 4194304, K: 16, splits: [1], q: 2, hessian_mode: exact, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
13+ - {label: cmp_r3q1, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2, 4], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
14+ - {label: cmp_r4q0, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2, 4, 8], q: 0, hessian_mode: exact, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
15+ - {label: cmp_r2q1_stale, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: stale, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
16+ - {label: cmp_r2q1_single, model: logistic, p: 8, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: single, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
17+ - {label: cmp_p64_r2q1, model: logistic, p: 64, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
18+ - {label: cmp_p64_r1q2, model: logistic, p: 64, N: 4194304, K: 16, splits: [1], q: 2, hessian_mode: exact, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
19+ - {label: cmp_p64_r2q1_stale, model: logistic, p: 64, N: 4194304, K: 16, splits: [1, 2], q: 1, hessian_mode: stale, repeats: 3, workers_per_node: 1, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
20+ # (3) many partitions per host: K = 64, 128 on 16 hosts (4, 8 processes each)
21+ - {label: K64_r2q1, model: logistic, p: 8, N: 4194304, K: 64, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 4, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
22+ - {label: K64_r1q2, model: logistic, p: 8, N: 4194304, K: 64, splits: [1], q: 2, hessian_mode: exact, repeats: 3, workers_per_node: 4, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
23+ - {label: K128_r2q1, model: logistic, p: 8, N: 4194304, K: 128, splits: [1, 2], q: 1, hessian_mode: exact, repeats: 3, workers_per_node: 8, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
24+ - {label: K128_r1q2, model: logistic, p: 8, N: 4194304, K: 128, splits: [1], q: 2, hessian_mode: exact, repeats: 3, workers_per_node: 8, nodes: [M3U96a, M3U96b, M2U64, M4M64b, M4M64c, M5M36, m4mm, m4mn, m6ma, m6mb, m5ma, m4md, m4ml, M2M32c, M4BP48, M4BP36]}
added experiments/process_results.py +194 −0
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1+#!/usr/bin/env python3
2+"""Aggregate raw Monte Carlo CSVs into results/processed/summary.csv and draw the paper figures (PDF, vector).
3+Every number in the paper's Monte Carlo tables/figures is produced here from results/raw/*.csv (no manual entry).
4+Usage: python3 experiments/process_results.py [--figures]
5+"""
6+import argparse, glob, json, pathlib, re, sys
7+import numpy as np, pandas as pd
8+import matplotlib; matplotlib.use("Agg")
9+import matplotlib.pyplot as plt
10+from scipy import stats
11+
12+ROOT = pathlib.Path(__file__).resolve().parents[1]
13+RAW, PROC, FIG = ROOT / "results" / "raw", ROOT / "results" / "processed", ROOT / "results" / "figures"
14+PAL = {"blue": "#2a78d6", "orange": "#eb6834", "aqua": "#1baf7a", "yellow": "#eda100", "magenta": "#e87ba4", "green": "#008300", "violet": "#6250d6", "red": "#e34948"}
15+INK, INK2, GRID = "#0b0b0b", "#52514e", "#e6e5e1"
16+STYLE = { # fixed assignment estimator -> (color, marker, linestyle, label)
17+ "r1_q0": ("blue", "o", "-", "raw average (r=1, q=0)"), "r1_q1": ("blue", "o", "--", "raw + 1 Newton (1,1)"), "r1_q2": ("blue", "o", ":", "raw + 2 Newton (1,2)"),
18+ "r2_q0": ("orange", "s", "-", "half-block jackknife (2,0)"), "r2_q1": ("orange", "s", "--", "half-block + 1 Newton (2,1)"), "r2_q2": ("orange", "s", ":", "half-block + 2 Newton (2,2)"),
19+ "r3_q0": ("aqua", "^", "-", "quarter-block (3,0)"), "r3_q1": ("aqua", "^", "--", "quarter-block + 1 Newton (3,1)"), "r3_q2": ("aqua", "^", ":", "quarter-block + 2 Newton (3,2)"),
20+ "cs_q0": ("violet", "D", "-", "analytic Cox–Snell (q=0)"), "cs_q1": ("violet", "D", "--", "analytic Cox–Snell + 1 Newton"),
21+ "csl1": ("green", "v", "-", "CSL, 1 round"), "csl2": ("green", "v", "--", "CSL, 2 rounds"), "aee": ("yellow", "P", "-", "AEE (Lin–Xi)"),
22+ "stale_r1_q1": ("magenta", "x", "--", "raw + 1 stale-Hessian step"), "stale_r2_q1": ("magenta", "x", ":", "half-block + 1 stale-Hessian step"),
23+}
24+ALPHA = {"r1_q0": 0.5, "r1_q1": 0.75, "r1_q2": 0.875, "r2_q0": 0.75, "r2_q1": 0.875, "r2_q2": 0.9375, "r3_q0": 5 / 6, "r3_q1": 11 / 12, "r3_q2": 23 / 24}
25+
26+
27+def _setup():
28+ plt.rcParams.update({"font.family": "serif", "font.size": 9, "axes.edgecolor": INK2, "axes.labelcolor": INK, "xtick.color": INK2, "ytick.color": INK2,
29+ "axes.grid": True, "grid.color": GRID, "grid.linewidth": 0.6, "axes.spines.top": False, "axes.spines.right": False,
30+ "legend.frameon": False, "legend.fontsize": 8, "figure.dpi": 120, "savefig.bbox": "tight", "lines.linewidth": 1.6, "lines.markersize": 4.5,
31+ "axes.facecolor": "#fcfcfb", "figure.facecolor": "white"})
32+
33+
34+def estimators(df):
35+ names = set()
36+ for c in df.columns:
37+ m = re.match(r"^(r\d_q\d|stale_r\d_q\d|cs_q\d|csl\d|aee)_0$", c)
38+ if m:
39+ names.add(m.group(1))
40+ return sorted(names)
41+
42+
43+def summarize_cell(df):
44+ p = int(df["p"].iloc[0]); N = int(df["N"].iloc[0]); sN = np.sqrt(N)
45+ th0 = df[[f"theta0_{j}" for j in range(p)]].to_numpy()
46+ cen = df[[f"central_{j}" for j in range(p)]].to_numpy()
47+ rows = []
48+ B = len(df)
49+ for e in estimators(df):
50+ th = df[[f"{e}_{j}" for j in range(p)]].to_numpy()
51+ ok = np.all(np.isfinite(th), axis=1)
52+ gap = sN * (th - cen); err = sN * (th - th0)
53+ gap_n = np.linalg.norm(gap, axis=1); err_n = np.linalg.norm(err, axis=1)
54+ row = {"estimator": e, "reps": B, "finite_frac": ok.mean(),
55+ "mean_gap0": np.nanmean(gap[ok, 0]), "se_gap0": np.nanstd(gap[ok, 0], ddof=1) / np.sqrt(ok.sum()),
56+ "rms_gap": np.sqrt(np.nanmean(gap_n[ok] ** 2)), "median_gap": np.nanmedian(gap_n[ok]), "p95_gap": np.nanquantile(gap_n[ok], 0.95),
57+ "rmse": np.sqrt(np.nanmean(err_n[ok] ** 2)), "rmse_se": np.sqrt(np.nanvar(err_n[ok] ** 2, ddof=1) / ok.sum()) / (2 * max(np.sqrt(np.nanmean(err_n[ok] ** 2)), 1e-12)),
58+ "bias0": np.nanmean(err[ok, 0]), "bias0_se": np.nanstd(err[ok, 0], ddof=1) / np.sqrt(ok.sum()), "sd0": np.nanstd(err[ok, 0], ddof=1),
59+ "max_abs_bias": np.max(np.abs(np.nanmean(err[ok], axis=0)))}
60+ if f"se_{e}_0" in df.columns:
61+ se = df[[f"se_{e}_{j}" for j in range(p)]].to_numpy()
62+ for lv in (0.90, 0.95, 0.99):
63+ z = stats.norm.ppf(0.5 + lv / 2)
64+ hit = np.abs(th - th0) <= z * se
65+ row[f"cov{int(lv*100)}"] = np.nanmean(hit[ok]); row[f"len{int(lv*100)}"] = np.nanmean(2 * z * se[ok]) * sN
66+ if f"se_sand_central_0" in df.columns and e == "central":
67+ ses = df[[f"se_sand_central_{j}" for j in range(p)]].to_numpy()
68+ z = stats.norm.ppf(0.975); row["cov95_sandwich"] = np.nanmean((np.abs(th - th0) <= z * ses)[ok])
69+ rows.append(row)
70+ # centralized reference row
71+ err = sN * (cen - th0); rows.append({"estimator": "central", "reps": B, "finite_frac": 1.0, "rmse": np.sqrt(np.mean(np.sum(err ** 2, axis=1))), "bias0": err[:, 0].mean(),
72+ "sd0": err[:, 0].std(ddof=1), "mean_gap0": 0.0, "rms_gap": 0.0})
73+ if "se_central_0" in df.columns:
74+ se = df[[f"se_central_{j}" for j in range(p)]].to_numpy()
75+ for lv in (0.90, 0.95, 0.99):
76+ z = stats.norm.ppf(0.5 + lv / 2); rows[-1][f"cov{int(lv*100)}"] = np.mean(np.abs(cen - th0) <= z * se)
77+ if "se_sand_central_0" in df.columns:
78+ ses = df[[f"se_sand_central_{j}" for j in range(p)]].to_numpy(); rows[-1]["cov95_sandwich"] = np.mean(np.abs(cen - th0) <= stats.norm.ppf(0.975) * ses)
79+ out = pd.DataFrame(rows)
80+ for c in ("label", "model", "p", "N", "K", "m"):
81+ out[c] = df[c].iloc[0]
82+ for r in (1, 2, 3):
83+ if f"valid_r{r}" in df.columns:
84+ out[f"valid_frac_r{r}"] = df[f"valid_r{r}"].mean() / df["K"].iloc[0]
85+ for s in (1, 2, 4):
86+ if f"local_fail_s{s}" in df.columns:
87+ out[f"local_fail_frac_s{s}"] = df[f"local_fail_s{s}"].mean() / (df["K"].iloc[0] * s)
88+ out["central_fail"] = (df["central_status"] != 0).mean()
89+ out["t_estimate_s"] = df["t_estimate_s"].mean()
90+ for c in df.columns:
91+ if c.startswith("cond_r2_q1"):
92+ out["cond_r2_q1"] = df[c].mean()
93+ return out
94+
95+
96+def build_summary():
97+ frames = []
98+ for f in sorted(glob.glob(str(RAW / "*.csv"))):
99+ if "boundary" in f or "ablation" in f or "skew" in f:
100+ continue
101+ df = pd.read_csv(f)
102+ if len(df) < 10:
103+ continue
104+ frames.append(summarize_cell(df))
105+ s = pd.concat(frames, ignore_index=True)
106+ PROC.mkdir(parents=True, exist_ok=True); s.to_csv(PROC / "summary.csv", index=False)
107+ return s
108+
109+
110+def fig_rmse_vs_m(s, label, p, N, metric="rms_gap", ests=("r1_q0", "r1_q1", "r1_q2", "r2_q0", "r2_q1", "r3_q0", "r3_q1", "cs_q1", "csl1"), fname=None, ylabel=None):
111+ d = s[(s.label == label) & (s.p == p) & (s.N == N)]
112+ if d.empty:
113+ return
114+ fig, ax = plt.subplots(figsize=(4.6, 3.4))
115+ for e in ests:
116+ dd = d[d.estimator == e].sort_values("m")
117+ if dd.empty or e not in STYLE:
118+ continue
119+ col, mk, ls, lab = STYLE[e]
120+ ax.plot(dd["m"], dd[metric].clip(lower=1e-12), marker=mk, ls=ls, color=PAL[col], label=lab, markerfacecolor="white", markeredgewidth=1.2)
121+ ax.set_xscale("log", base=2); ax.set_yscale("log"); ax.set_xlabel("local sample size m (N fixed)"); ax.set_ylabel(ylabel or metric)
122+ ax.set_title(f"{label}, p = {p}, N = {N:,}", loc="left", fontsize=9, color=INK)
123+ ax.legend(ncol=1, loc="best"); FIG.mkdir(parents=True, exist_ok=True)
124+ fig.savefig(FIG / (fname or f"fig_{metric}_vs_m_{label}_p{p}_N{N}.pdf")); plt.close(fig)
125+
126+
127+def fig_gap_collapse(s, label, p, ests=("r1_q1", "r2_q1", "r1_q2", "r3_q1"), fname=None):
128+ """|mean scaled gap| against K / N^alpha(r,q): curves for different N should collapse (Theorem 1 scaling)."""
129+ d = s[(s.label == label) & (s.p == p)]
130+ if d.empty:
131+ return
132+ fig, axes = plt.subplots(1, len(ests), figsize=(2.4 * len(ests) + 0.6, 2.8), sharey=False)
133+ Ns = sorted(d.N.unique()); shades = ["#86b6ef", "#5598e7", "#2a78d6", "#1c5cab", "#0d366b"]
134+ for ax, e in zip(np.atleast_1d(axes), ests):
135+ for i, N in enumerate(Ns):
136+ dd = d[(d.estimator == e) & (d.N == N)].sort_values("K")
137+ if dd.empty:
138+ continue
139+ x = dd["K"] / N ** ALPHA[e]
140+ ax.plot(x, dd["rms_gap"].clip(lower=1e-12), marker="o", ms=3.5, color=shades[i % len(shades)], label=f"N = 2^{int(np.log2(N))}")
141+ ax.set_xscale("log"); ax.set_yscale("log"); ax.set_xlabel(f"K / N^{{{ALPHA[e]:.4g}}}"); ax.set_title(STYLE[e][3], fontsize=8, loc="left")
142+ np.atleast_1d(axes)[0].set_ylabel("RMS of √N (θ̃ − θ̂_N)"); np.atleast_1d(axes)[-1].legend(fontsize=7)
143+ fig.savefig(FIG / (fname or f"fig_gap_collapse_{label}_p{p}.pdf")); plt.close(fig)
144+
145+
146+def fig_coverage(s, label, p, N, ests=("r1_q0", "r1_q1", "r2_q0", "r2_q1", "r3_q1", "cs_q1"), level=95, fname=None):
147+ d = s[(s.label == label) & (s.p == p) & (s.N == N)]
148+ if d.empty or f"cov{level}" not in d.columns:
149+ return
150+ fig, ax = plt.subplots(figsize=(4.6, 3.0))
151+ for e in ests:
152+ dd = d[d.estimator == e].sort_values("m")
153+ if dd.empty or dd[f"cov{level}"].isna().all():
154+ continue
155+ col, mk, ls, lab = STYLE[e]
156+ ax.plot(dd["m"], dd[f"cov{level}"], marker=mk, ls=ls, color=PAL[col], label=lab, markerfacecolor="white", markeredgewidth=1.2)
157+ ax.axhline(level / 100, color=INK2, lw=0.8, ls="-"); ax.set_xscale("log", base=2); ax.set_xlabel("local sample size m"); ax.set_ylabel(f"empirical coverage, nominal {level}%")
158+ ax.set_title(f"{label}, p = {p}, N = {N:,}", loc="left", fontsize=9); ax.legend(); fig.savefig(FIG / (fname or f"fig_coverage{level}_{label}_p{p}_N{N}.pdf")); plt.close(fig)
159+
160+
161+def fig_boundary(fname="fig_boundary_exponential.pdf"):
162+ f = PROC / "boundary_summary.csv"
163+ if not f.exists():
164+ return
165+ b = pd.read_csv(f)
166+ cases = [(2, 1), (1, 2), (3, 1), (2, 0)]
167+ fig, axes = plt.subplots(1, len(cases), figsize=(2.5 * len(cases) + 0.5, 2.9))
168+ cols = ["blue", "orange", "aqua"]
169+ for ax, (r, q) in zip(axes, cases):
170+ d = b[(b.r == r) & (b.q == q)]
171+ for i, c in enumerate(sorted(d.c.unique())):
172+ dd = d[d.c == c].sort_values("N")
173+ ax.errorbar(dd["N"], dd["mean_gap"], yerr=1.96 * dd["se"], marker="o", ms=3.5, color=PAL[cols[i]], label=f"c = {c:g}", capsize=2, lw=1.2)
174+ ax.plot(dd["N"], dd["limit_c_eff"], ls="--", color=PAL[cols[i]], lw=1.0)
175+ ax.set_xscale("log", base=2); ax.set_xlabel("N"); ax.set_title(f"(r, q) = ({r}, {q}), α = {1-1/(2**(q+1)*r):.4g}", fontsize=8, loc="left")
176+ axes[0].set_ylabel("mean of √N (θ̃ − θ̂_N)"); axes[0].legend(fontsize=7)
177+ fig.savefig(FIG / fname); plt.close(fig)
178+
179+
180+def main():
181+ ap = argparse.ArgumentParser(); ap.add_argument("--figures", action="store_true"); a = ap.parse_args()
182+ _setup(); s = build_summary(); print("cells:", s.groupby(["label", "p", "N", "K"]).ngroups, "rows:", len(s))
183+ if a.figures:
184+ for (label, p), d in s.groupby(["label", "p"]):
185+ Nmax = d.N.max()
186+ fig_rmse_vs_m(s, label, p, Nmax, "rms_gap", ylabel="RMS of √N (θ̃ − θ̂_N)")
187+ fig_rmse_vs_m(s, label, p, Nmax, "rmse", ests=("r1_q0", "r2_q0", "r3_q0", "r1_q1", "r2_q1", "cs_q0"), ylabel="RMSE of √N (θ̃ − θ0)", fname=f"fig_rmse_theta0_vs_m_{label}_p{p}_N{Nmax}.pdf")
188+ fig_gap_collapse(s, label, p); fig_coverage(s, label, p, Nmax)
189+ fig_boundary()
190+ print("figures:", len(list(FIG.glob("*.pdf"))))
191+
192+
193+if __name__ == "__main__":
194+ main()
added experiments/run_ablations.py +71 −0
@@ -0,0 +1,71 @@
1+#!/usr/bin/env python3
2+"""Ablations (Phase 7, Table 6): (a) Hessian/score quantization bits; (b) exact vs stale vs single-machine Hessian; (c) split
3+patterns (1,2,4) vs (1,2,3) vs (1,3) and orders r = 1..4 with q = 0..3; on logistic (p = 8) and exponential models.
4+Paired replications (same sample for all variants). Output: results/raw/ablation_<model>.csv (one row per replication × variant).
5+"""
6+import sys, pathlib, time, hashlib, argparse
7+import numpy as np, pandas as pd
8+ROOT = pathlib.Path(__file__).resolve().parents[1]; sys.path.insert(0, str(ROOT / "src"))
9+from pamle.likelihoods import make_model, gather_blocks
10+from pamle.algorithms import local_split_fits, worker_corrected_estimates, pilot_estimator, global_newton, aggregated_score_hessian, quantize_relative, newton_step
11+from pamle.jackknife import DEFAULT_SPLITS
12+
13+PATTERNS = {"1": (1,), "1-2": (1, 2), "1-2-4": (1, 2, 4), "1-2-4-8": (1, 2, 4, 8), "1-2-3": (1, 2, 3), "1-3": (1, 3), "1-2-3-4": (1, 2, 3, 4)}
14+BITS = [2, 3, 4, 6, 8, 12, 16, 24, 52]
15+
16+
17+def run(model_name, p, N, m, reps, theta0, seed, out):
18+ model = make_model(model_name, p); rng = np.random.default_rng(seed); K = N // m
19+ rows = []; t0 = time.time()
20+ for b in range(reps):
21+ data = model.simulate(rng, N, theta0) if model_name != "exponential" else {"x": rng.exponential(1 / theta0[0], size=N)}
22+ db = gather_blocks(data, np.arange(N).reshape(K, m))
23+ full = {k: v.reshape((1, N) + v.shape[2:]) for k, v in db.items()}
24+ cen = model.fit_batched(full, tol=1e-12, maxit=100)[0][0]
25+ needed = sorted({s for pat in PATTERNS.values() for s in pat if m % s == 0})
26+ fits = local_split_fits(model, db, tuple(needed))
27+ H_bar = fits[1][2][:, 0].mean(axis=0)
28+ base = {"rep": b, "N": N, "K": K, "m": m, "p": p, "model": model_name}
29+ def add(variant, th, **extra):
30+ row = dict(base, variant=variant, gap=float(np.sqrt(N) * np.linalg.norm(th - cen)), gap0=float(np.sqrt(N) * (th[0] - cen[0])), **extra)
31+ rows.append(row)
32+ for name, pat in PATTERNS.items():
33+ if any(m % s for s in pat):
34+ continue
35+ J, ok = worker_corrected_estimates({s: fits[s] for s in pat}, pat); th0 = pilot_estimator(J)
36+ r = len(pat)
37+ path, _ = global_newton(model, db, th0, q=3)
38+ for q in range(4):
39+ add(f"pat{name}_q{q}", path[q], pattern=name, r=r, q=q, hessian="exact", bits=64, valid_frac=float(ok.mean()))
40+ if name in ("1", "1-2", "1-2-4"):
41+ ps, _ = global_newton(model, db, th0, q=3, hessian_mode="stale", stale_hessian=H_bar)
42+ pg, _ = global_newton(model, db, th0, q=3, hessian_mode="single")
43+ for q in range(1, 4):
44+ add(f"pat{name}_q{q}_stale", ps[q], pattern=name, r=r, q=q, hessian="stale", bits=64)
45+ add(f"pat{name}_q{q}_single", pg[q], pattern=name, r=r, q=q, hessian="single", bits=64)
46+ if name in ("1", "1-2", "1-2-4"):
47+ g, H, _, _ = aggregated_score_hessian(model, db, th0)
48+ for bits in BITS:
49+ thH, _ = newton_step(th0, g, quantize_relative(H, bits)); add(f"pat{name}_q1_Hbits{bits}", thH, pattern=name, r=r, q=1, hessian="quantizedH", bits=bits)
50+ thg, _ = newton_step(th0, quantize_relative(g, bits), H); add(f"pat{name}_q1_gbits{bits}", thg, pattern=name, r=r, q=1, hessian="quantizedg", bits=bits)
51+ thb, _ = newton_step(th0, quantize_relative(g, bits), quantize_relative(H, bits)); add(f"pat{name}_q1_bothbits{bits}", thb, pattern=name, r=r, q=1, hessian="quantizedBoth", bits=bits)
52+ if (b + 1) % max(1, reps // 10) == 0:
53+ print(f"[{model_name} N={N} m={m}] {b+1}/{reps} {time.time()-t0:.0f}s", flush=True)
54+ pd.DataFrame(rows).to_csv(out, index=False)
55+ pd.DataFrame(rows).to_csv(out, index=False)
56+
57+
58+if __name__ == "__main__":
59+ ap = argparse.ArgumentParser(); ap.add_argument("--model", default="logistic"); ap.add_argument("--reps", type=int, default=400); a = ap.parse_args()
60+ (ROOT / "results" / "raw").mkdir(parents=True, exist_ok=True)
61+ if a.model == "logistic":
62+ theta0 = np.array([0.3] + [0.5 * (-1) ** j / (1 + 0.15 * j) for j in range(7)])
63+ for K, m in [(2048, 96), (1024, 192), (512, 384), (256, 768), (4096, 192), (1024, 768)]:
64+ N = K * m
65+ seed = 20261028 + int(hashlib.sha256(f"abl logistic {N} {m}".encode()).hexdigest(), 16) % 10 ** 6
66+ run("logistic", 8, N, m, a.reps, theta0, seed, ROOT / "results" / "raw" / f"ablation_logistic_N{N}_m{m}.csv")
67+ else:
68+ for K, m in [(16384, 12), (16384, 24), (16384, 48), (16384, 96), (16384, 192), (65536, 24), (65536, 96), (262144, 24)]:
69+ N = K * m
70+ seed = 20261028 + int(hashlib.sha256(f"abl exp {N} {m}".encode()).hexdigest(), 16) % 10 ** 6
71+ run("exponential", 1, N, m, a.reps, np.array([1.0]), seed, ROOT / "results" / "raw" / f"ablation_exponential_N{N}_m{m}.csv")
added experiments/run_benchmarks.py +73 −0
@@ -0,0 +1,73 @@
1+#!/usr/bin/env python3
2+"""Real distributed benchmarks on MacLustr (Phase 8). The coordinator runs on `--coordinator HOST` (LAN IP), workers are launched
3+by ssh from this laptop on the listed nodes (several worker processes per node allowed: K partitions need not equal K hosts).
4+
5+Usage:
6+ python3 experiments/run_benchmarks.py --config experiments/configs/benchmarks.yaml --out results/raw/benchmarks.jsonl
7+Each design row: model, p, N, K, splits, q, hessian_mode, repeats, workers_per_node, nodes (list of alias:lan_ip).
8+Requires ~/wp28/repo synced and ~/wp28/venv on every node (experiments/scatter_cluster.py does the sync).
9+"""
10+import argparse, json, pathlib, subprocess, sys, time, socket, yaml, shlex, hashlib
11+ROOT = pathlib.Path(__file__).resolve().parents[1]
12+PY = "~/wp28/venv/bin/python"
13+
14+
15+def launch_coordinator(host_alias, port, K, model, p, N, splits, q, hmode, seed, bits):
16+ code = (f"import sys,json; sys.path.insert(0,'{'~/wp28/repo/src'}'); import os; sys.path[0]=os.path.expanduser(sys.path[0]); "
17+ f"from pamle.protocol import coordinator_run; "
18+ f"r=coordinator_run({port},{K},'{model}',{p},{N},{tuple(splits)},{q},'{hmode}',{seed},{bits},log=lambda *a: None); print(json.dumps(r))")
19+ cmd = f"{PY} -c {shlex.quote(code)}"
20+ return subprocess.Popen(["ssh", "-o", "ConnectTimeout=10", host_alias, cmd], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
21+
22+
23+def launch_workers(assign, coord_ip, port):
24+ procs = []
25+ wid = 0
26+ for alias, n in assign:
27+ cmds = " ".join(f"(cd ~/wp28/repo/src && {PY} -m pamle.worker --connect {coord_ip}:{port} --id {wid + i} > /dev/null 2>&1 &)" for i in range(n))
28+ wid += n
29+ procs.append(subprocess.Popen(["ssh", "-o", "ConnectTimeout=10", alias, cmds + "; wait"], stdout=subprocess.DEVNULL, stderr=subprocess.PIPE, text=True))
30+ return procs
31+
32+
33+def main():
34+ ap = argparse.ArgumentParser(); ap.add_argument("--config", required=True); ap.add_argument("--out", required=True); ap.add_argument("--only", default=None)
35+ a = ap.parse_args(); cfg = yaml.safe_load(open(a.config)); out = pathlib.Path(a.out); out.parent.mkdir(parents=True, exist_ok=True)
36+ coord_alias, coord_ip = cfg["coordinator"]["alias"], cfg["coordinator"]["lan_ip"]
37+ port = int(cfg.get("port", 50600))
38+ for i, d in enumerate(cfg["designs"]):
39+ if a.only and str(i) not in a.only.split(","):
40+ continue
41+ nodes = d["nodes"]; wpn = d["workers_per_node"]; K = d["K"]
42+ assign = []; left = K
43+ for alias in nodes:
44+ n = min(wpn, left); assign.append((alias, n)); left -= n
45+ if left == 0:
46+ break
47+ if left:
48+ print(f"design {i}: not enough worker slots for K={K}", file=sys.stderr); continue
49+ for rep in range(d.get("repeats", 3)):
50+ port += 1
51+ seed = int(hashlib.sha256(f"{i}-{rep}".encode()).hexdigest(), 16) % 10 ** 6
52+ co = launch_coordinator(coord_alias, port, K, d["model"], d["p"], d["N"], d["splits"], d["q"], d["hessian_mode"], seed, d.get("bits"))
53+ time.sleep(1.5)
54+ t0 = time.time(); wk = launch_workers(assign, coord_ip, port)
55+ try:
56+ sout, serr = co.communicate(timeout=1800)
57+ except subprocess.TimeoutExpired:
58+ co.kill(); print(f"design {i} rep {rep}: TIMEOUT", file=sys.stderr); continue
59+ for w in wk:
60+ w.wait(timeout=60)
61+ if co.returncode != 0 or not sout.strip():
62+ print(f"design {i} rep {rep}: coordinator failed: {serr[-800:]}", file=sys.stderr); continue
63+ res = json.loads(sout.strip().splitlines()[-1])
64+ res.update({"design_index": i, "repeat": rep, "launch_wall_s": time.time() - t0, "assignment": assign, "label": d.get("label", "")})
65+ with open(out, "a") as f:
66+ f.write(json.dumps(res) + "\n")
67+ st = res["stats"]
68+ print(f"design {i} rep {rep}: K={K} hosts={res['n_hosts']} p={d['p']} q={d['q']} {d['hessian_mode']} | fit+upload {st['stages']['A_B_local_fit_and_upload']['wall']:.3f}s "
69+ f"| rounds {[round(v['wall'],3) for k,v in st['stages'].items() if k.startswith('D_F')]} | up {st['bytes_up']} B down {st['bytes_down']} B | total {res['t_total_after_connect']:.3f}s", flush=True)
70+
71+
72+if __name__ == "__main__":
73+ main()
added experiments/run_boundary.py +56 −0
@@ -0,0 +1,56 @@
1+#!/usr/bin/env python3
2+"""Boundary study (Theorem 2(v)): exponential model, K ~ c N^{alpha(r,q)}; checks sqrt(N)(theta^(q)_r - theta_hat_N) -> limit.
3+Exact-Gamma simulation of block sufficient statistics (as in the prior draft), seed 20261028 + cell hash.
4+Output: results/raw/boundary.csv (one row per replication) and results/processed/boundary_summary.csv.
5+"""
6+import sys, pathlib, json, time, hashlib
7+import numpy as np, pandas as pd
8+ROOT = pathlib.Path(__file__).resolve().parents[1]; sys.path.insert(0, str(ROOT / "src"))
9+from pamle.jackknife import vandermonde_weights, leading_bias_coefficient, DEFAULT_SPLITS
10+
11+CASES = [(2, 1), (1, 2), (3, 1), (2, 0), (1, 1)] # (r, q)
12+CS = [0.5, 1.0, 2.0]
13+NS = [2 ** 16, 2 ** 18, 2 ** 20, 2 ** 22, 2 ** 24]
14+THETA0 = 1.0
15+
16+
17+def limit(r, q, c):
18+ beta = float(leading_bias_coefficient(DEFAULT_SPLITS[r]))
19+ return (-THETA0 * (beta * c ** r) ** (2 ** q)) if q >= 1 else beta * THETA0 * c ** r
20+
21+
22+def run(r, q, c, N, reps, rng):
23+ alpha = 1 - 1 / (2 ** (q + 1) * r); s = DEFAULT_SPLITS[r]; smax = s[-1]
24+ m_target = N ** (1 - alpha) / c
25+ m = max(smax * 2, int(round(m_target / smax)) * smax) # multiple of the finest split
26+ while N % m:
27+ m += smax
28+ K = N // m; c_eff = K / N ** alpha
29+ w = vandermonde_weights(s)
30+ gaps = np.empty(reps)
31+ for b in range(reps):
32+ parts = rng.gamma(shape=m // smax, scale=1.0 / THETA0, size=(K, smax)) # sums over the finest sub-blocks
33+ totals = parts.sum(axis=1); full_mle = N / totals.sum()
34+ J = np.zeros(K)
35+ for wj, sj in zip(w, s):
36+ sub = parts.reshape(K, sj, smax // sj).sum(axis=2) # sums over sub-blocks at level sj
37+ J += wj * ((m / sj) / sub).mean(axis=1)
38+ x = J.mean()
39+ for _ in range(q):
40+ x = 2 * x - x * x / full_mle
41+ gaps[b] = np.sqrt(N) * (x - full_mle)
42+ return dict(r=r, q=q, c=c, c_eff=c_eff, N=N, K=K, m=m, alpha=alpha, reps=reps, mean_gap=gaps.mean(),
43+ se=gaps.std(ddof=1) / np.sqrt(reps), limit_c=limit(r, q, c), limit_c_eff=limit(r, q, c_eff),
44+ median_gap=float(np.median(gaps)), frac_negative_pilot=float(np.mean(gaps < -1e300)))
45+
46+
47+if __name__ == "__main__":
48+ rows = []; t0 = time.time()
49+ for (r, q) in CASES:
50+ for c in CS:
51+ for N in NS:
52+ seed = 20261028 + int(hashlib.sha256(f"{r}{q}{c}{N}".encode()).hexdigest(), 16) % 10 ** 6
53+ reps = 2000 if N <= 2 ** 20 else (1000 if N == 2 ** 22 else 400)
54+ row = run(r, q, c, N, reps, np.random.default_rng(seed)); row["seed"] = seed; rows.append(row)
55+ print(f"r={r} q={q} c={c} N={N} K={row['K']} m={row['m']} gap={row['mean_gap']:+.4f}±{row['se']:.4f} limit(c_eff)={row['limit_c_eff']:+.4f} [{time.time()-t0:.0f}s]", flush=True)
56+ pd.DataFrame(rows).to_csv(ROOT / "results" / "processed" / "boundary_summary.csv", index=False)
added experiments/run_skewed.py +49 −0
@@ -0,0 +1,49 @@
1+#!/usr/bin/env python3
2+"""Unequal block sizes (Proposition 4): size-weighted vs equal-weight aggregation of local half-block jackknife estimates, with
3+q = 0, 1 Newton steps; logistic p = 3 and exponential. Output: results/raw/skew_<model>.csv"""
4+import sys, pathlib, time, hashlib
5+import numpy as np, pandas as pd
6+ROOT = pathlib.Path(__file__).resolve().parents[1]; sys.path.insert(0, str(ROOT / "src"))
7+from pamle.likelihoods import make_model
8+from pamle.partitioning import skewed_sizes, unequal_blocks
9+from pamle.jackknife import vandermonde_weights
10+
11+
12+def run(model_name, p, N, K, ratio, reps, theta0, seed, out):
13+ model = make_model(model_name, p); rng = np.random.default_rng(seed)
14+ sizes = skewed_sizes(N, K, ratio); sizes = (sizes // 4) * 4; sizes[-1] += N - sizes.sum(); sizes[-1] -= sizes[-1] % 4; N_eff = int(sizes.sum())
15+ blocks = unequal_blocks(sizes); w2 = vandermonde_weights((1, 2))
16+ rows = []; t0 = time.time()
17+ for b in range(reps):
18+ data = model.simulate(rng, N_eff, theta0) if model_name != "exponential" else {"x": rng.exponential(1 / theta0[0], size=N_eff)}
19+ full = {k: v[None] for k, v in data.items()}; cen = model.fit_batched(full, tol=1e-12, maxit=100)[0][0]
20+ J = np.zeros((K, p)); raw = np.zeros((K, p)); g_k = np.zeros((K, p)); H_k = np.zeros((K, p, p))
21+ for k, idx in enumerate(blocks):
22+ dk = {kk: v[idx][None] for kk, v in data.items()}
23+ thf = model.fit_batched(dk)[0][0]; half = len(idx) // 2
24+ ha = model.fit_batched({kk: v[idx[:half]][None] for kk, v in data.items()})[0][0]; hb = model.fit_batched({kk: v[idx[half:]][None] for kk, v in data.items()})[0][0]
25+ raw[k] = thf; J[k] = w2[0] * thf + w2[1] * 0.5 * (ha + hb)
26+ for agg, wts in (("weighted", sizes / sizes.sum()), ("equal", np.ones(K) / K)):
27+ for name, est in (("raw", raw), ("jack2", J)):
28+ th0 = wts @ est
29+ th = th0.copy()
30+ res = {"rep": b, "N": N_eff, "K": K, "ratio": ratio, "agg": agg, "pilot": name, "model": model_name}
31+ for q in range(3):
32+ res[f"gap_q{q}"] = float(np.sqrt(N_eff) * np.linalg.norm(th - cen))
33+ # aggregated derivatives (always size-weighted = full-sample derivatives)
34+ g = np.zeros(p); H = np.zeros((p, p))
35+ for k, idx in enumerate(blocks):
36+ gk, Hk = model.score_hessian(th[None], {kk: v[idx][None] for kk, v in data.items()}); g += sizes[k] / N_eff * gk[0]; H += sizes[k] / N_eff * Hk[0]
37+ th = th + np.linalg.solve(-H, g)
38+ rows.append(res)
39+ if (b + 1) % max(1, reps // 5) == 0:
40+ print(f"[{model_name} K={K} ratio={ratio}] {b+1}/{reps} {time.time()-t0:.0f}s", flush=True); pd.DataFrame(rows).to_csv(out, index=False)
41+ pd.DataFrame(rows).to_csv(out, index=False)
42+
43+
44+if __name__ == "__main__":
45+ (ROOT / "results" / "raw").mkdir(parents=True, exist_ok=True)
46+ for model_name, p, theta0 in (("exponential", 1, np.array([1.0])), ("logistic", 3, np.array([0.5, 1.0, -1.0]))):
47+ for K, ratio in ((256, 1.0), (256, 4.0), (256, 16.0), (1024, 4.0), (1024, 16.0)):
48+ seed = 20261028 + int(hashlib.sha256(f"skew {model_name} {K} {ratio}".encode()).hexdigest(), 16) % 10 ** 6
49+ run(model_name, p, 2 ** 18, K, ratio, 300 if model_name == "logistic" else 1000, theta0, seed, ROOT / "results" / "raw" / f"skew_{model_name}_K{K}_r{int(ratio)}.csv")
added experiments/run_weights_analysis.py +20 −0
@@ -0,0 +1,20 @@
1+#!/usr/bin/env python3
2+"""Conditioning / amplification analysis of split patterns (Phase 3, Gate 3). Output: results/tables/weights_analysis.csv"""
3+import sys, pathlib
4+import numpy as np, pandas as pd
5+ROOT = pathlib.Path(__file__).resolve().parents[1]; sys.path.insert(0, str(ROOT / "src"))
6+from pamle.jackknife import vandermonde_weights_exact, leading_bias_coefficient, amplification_constant, weight_l1, vandermonde_condition_number
7+
8+PATTERNS = [(1,), (1, 2), (1, 2, 4), (1, 2, 4, 8), (1, 2, 4, 8, 16), (1, 2, 3), (1, 2, 3, 4), (1, 3), (1, 3, 9), (1, 2, 6), (1, 4)]
9+rows = []
10+for s in PATTERNS:
11+ w = vandermonde_weights_exact(s); r = len(s)
12+ rows.append({"pattern": "-".join(map(str, s)), "r": r, "weights": " ".join(str(x) for x in w),
13+ "beta_r": str(leading_bias_coefficient(s)), "beta_r_float": float(leading_bias_coefficient(s)),
14+ "A_r": str(amplification_constant(s)), "A_r_float": float(amplification_constant(s)),
15+ "sum_abs_w": float(weight_l1(s)), "cond_vandermonde": vandermonde_condition_number(s),
16+ "local_fits": sum(s), "data_passes": r, "finest_block_fraction": f"1/{s[-1]}",
17+ "float64_moment_residual": max(abs(float(sum(float(wj) * sj ** a for wj, sj in zip(w, s)))) for a in range(1, r)) if r > 1 else 0.0})
18+df = pd.DataFrame(rows); (ROOT / "results" / "tables").mkdir(parents=True, exist_ok=True)
19+df.to_csv(ROOT / "results" / "tables" / "weights_analysis.csv", index=False)
20+print(df[["pattern", "r", "weights", "beta_r", "A_r", "sum_abs_w", "cond_vandermonde", "local_fits"]].to_string(index=False))
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added results/figures/fig_rms_gap_vs_m_exp_p1_N65536.pdf +0 −0

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added results/processed/boundary_summary.csv +44 −0
@@ -0,0 +1,44 @@
1+r,q,c,c_eff,N,K,m,alpha,reps,mean_gap,se,limit_c,limit_c_eff,median_gap,frac_negative_pilot,seed
2+2,1,0.5,0.5,65536,8192,8,0.875,2000,-0.5875670869874005,0.002648536761623647,-0.25,-0.25,-0.5813834892881999,0.0,21025554
3+2,1,0.5,0.29730177875068026,262144,16384,16,0.875,2000,-0.0472644692190571,0.00026411895770032365,-0.25,-0.031249999999999993,-0.04627751584229145,0.0,20414363
4+2,1,0.5,0.35355339059327373,1048576,65536,16,0.875,2000,-0.0930587889740085,0.0002656962421600971,-0.25,-0.06249999999999997,-0.09295571821013482,0.0,20674389
5+2,1,0.5,0.4204482076268573,4194304,262144,16,0.875,1000,-0.18662878407513767,0.00038492597489263303,-0.25,-0.12500000000000006,-0.18604315385266545,0.0,20310315
6+2,1,0.5,0.5,16777216,1048576,16,0.875,400,-0.3724864951318602,0.0006018714476895418,-0.25,-0.25,-0.37209685948414517,0.0,20629167
7+2,1,1.0,1.0,65536,16384,4,0.875,2000,-28.797169804004366,0.17452689859982468,-4.0,-4.0,-27.864550493510194,0.0,20705729
8+2,1,1.0,1.189207115002721,262144,65536,4,0.875,2000,-57.3020027336724,0.19903461027948735,-4.0,-7.999999999999998,-56.5321754859587,0.0,20537141
9+2,1,1.0,0.7071067811865475,1048576,131072,8,0.875,2000,-2.3231003809197857,0.002684201923214719,-4.0,-0.9999999999999996,-2.3196724371065898,0.0,21061208
10+2,1,1.0,0.8408964152537146,4194304,524288,8,0.875,1000,-4.637079583613975,0.0036320294708445605,-4.0,-2.000000000000001,-4.63333761122874,0.0,20916812
11+2,1,1.0,1.0,16777216,2097152,8,0.875,400,-9.287382695231818,0.0057443436437832895,-4.0,-4.0,-9.28828565087747,0.0,20510062
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added results/processed/summary.csv +353 −0
@@ -0,0 +1,353 @@
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25+cs_q0,2000,1.0,-0.011225522485692075,0.002791740414580959,0.12532297325448238,0.08705842708300793,0.23913632830167583,1.006935015530935,0.015788432415956177,0.0022004538700962826,0.022521328710268462,1.007184438795559,0.0022004538700962826,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
26+cs_q1,2000,1.0,-0.00012272333516389011,3.6810210000744965e-06,0.0002052980717983596,5.920421970273537e-05,0.0004482330710381176,1.001992619422883,0.015853761709134582,0.013303253020624467,0.022408864206291398,1.0021548732765888,0.013303253020624467,0.9035,3.2900491586526295,0.9525,3.9203353737175464,0.99,5.1521940275503155,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
27+cs_q2,2000,1.0,-3.2940885574817005e-10,2.1772512047962732e-11,1.0276773393053896e-09,2.730615733526065e-11,1.570503371794984e-09,1.001989864576226,0.01585419596619401,0.013425976026379502,0.022408765970860143,1.002150480054547,0.013425976026379502,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
28+csl1,2000,1.0,2.5579538487363605e-16,4.252075913158573e-16,1.9012827806732917e-14,0.0,4.263256414560601e-14,1.0019898645592173,0.01585419596741489,0.013425976355788613,0.022408765970380964,1.0021504800331176,0.013425976355788613,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
29+csl2,2000,1.0,-4.902744876744692e-16,4.227812688007816e-16,1.890898272170169e-14,0.0,4.263256414560601e-14,1.0019898645592176,0.01585419596741489,0.013425976355787867,0.02240876597038097,1.0021504800331178,0.013425976355787867,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
30+r1_q0,2000,1.0,0.9966658196707654,0.0028153956624078227,1.0045833639470008,0.9930037018804825,1.2095329539654542,1.431861976929835,0.02007573182869965,1.0100917960265539,0.022698662007199718,1.0151150249278078,1.0100917960265539,0.745,3.315667459438051,0.835,3.9508614619127616,0.944,5.192312107839635,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
31+r1_q1,2000,1.0,-0.007883340029967406,4.444035371384859e-05,0.008129881005246772,0.007687738254873011,0.011422429136229083,1.001902870081739,0.015841919214959803,0.00554263632582095,0.022408489246833564,1.0021381045798583,0.00554263632582095,0.902,3.289849704300789,0.954,3.92009770919849,0.9905,5.15188168342694,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
32+r1_q2,2000,1.0,-5.163383990876014e-07,5.910960028410251e-09,5.800424983040614e-07,4.604910870398271e-07,1.020159231757134e-06,1.0019898609166091,0.015854195264150307,0.013425460017389269,0.022408766043655846,1.0021504833100698,0.013425460017389269,0.9035,3.2900522994748473,0.9525,3.920339116238052,0.99,5.152198946055995,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
33+r2_q0,2000,1.0,-0.029188747217029038,0.004088705336340267,0.1851223598261619,0.12329564413892768,0.36115991148888893,1.0176548629285191,0.015975168643664283,-0.015762770861240682,0.022758414933240764,1.0177872570174538,0.015762770861240682,0.894,3.2893021374838307,0.9475,3.919445243092825,0.991,5.151024197611996,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
34+r2_q1,2000,1.0,-0.0002677380946537795,8.584444863748623e-06,0.00046796942407885763,0.00011930085400280177,0.0010175504875689966,1.001990161474135,0.01585328731744163,0.013158238261134578,0.022408852057918767,1.0021543299848483,0.013158238261134578,0.9035,3.2900454316517997,0.9525,3.9203309327221434,0.99,5.15218819109302,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
35+r2_q2,2000,1.0,-1.7106663889876472e-09,1.2595302710463655e-10,5.885477500000985e-09,1.1129230870210449e-10,8.01404311800979e-09,1.0019898645292253,0.015854195957304414,0.013425974645121968,0.022408765970222812,1.0021504800260448,0.013425974645121968,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
36+r3_q0,2000,1.0,-0.013234374758426598,0.0058822050526976,0.2633272126137496,0.17241253659668132,0.512310185593632,1.0358106033066892,0.016269279279046277,0.0001916015973617604,0.023167221341326986,1.03606963537982,0.0001916015973617604,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
37+r3_q1,2000,1.0,-0.0005417205918410346,1.752839798933992e-05,0.0009527032208583739,0.0002326880811338583,0.0020430194715224557,1.0019893342886363,0.015852292653291713,0.012884255763947323,0.02240891319734493,1.0021570642231086,0.012884255763947323,0.9035,3.290038390072047,0.9525,3.920322542162349,0.99,5.152177164028257,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
38+r3_q2,2000,1.0,-7.08881328392863e-09,5.382329314877178e-10,2.508686820154301e-08,4.219629090584931e-10,3.252992257785081e-08,1.0019898642844376,0.015854195917817927,0.013425969266975073,0.02240876596635927,1.0021504798532619,0.013425969266975073,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
39+stale_r1_q1,2000,1.0,0.0155151576852776,8.658960145783095e-05,0.015990876723969826,0.015120608619376696,0.02242414903833989,1.002354059335263,0.01588119420208657,0.028941134041065956,0.022409576749197822,1.0021867391641017,0.028941134041065956,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
40+stale_r1_q2,2000,1.0,0.00012453453337182195,1.0493314817963867e-06,0.00013307870612144058,0.00011683998701528253,0.00021120834010233123,1.0019912814184169,0.01585438195477964,0.01355051088916018,0.02240876016455703,1.002150220388778,0.01355051088916018,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
41+stale_r2_q1,2000,1.0,0.00015951739199203274,3.096535605470249e-05,0.001393626024535042,0.0008474189677656341,0.0029216603821538454,1.001977002017214,0.015854121244357738,0.01358549374778039,0.022408430162255556,1.0021354622372014,0.01358549374778039,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
42+stale_r2_q2,2000,1.0,2.0933572696080206e-06,2.6560083463747716e-07,1.2058159377579546e-05,6.140574527080389e-06,2.6465342106973817e-05,1.0019897305362573,0.015854196717196786,0.013428069713057966,0.022408762345048638,1.002150317903327,0.013428069713057966,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
43+stale_r3_q1,2000,1.0,0.0005532892488263741,4.608462996700493e-05,0.0021334459070103456,0.0011331005925683257,0.004863483501138432,1.0019880833768349,0.01585563441001774,0.013979265604614731,0.022408556878832364,1.0021411291747937,0.013979265604614731,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
44+stale_r3_q2,2000,1.0,5.149521446462302e-06,3.905253020315568e-07,1.820398539248276e-05,8.041849781648125e-06,4.131643087745826e-05,1.0019898084070444,0.015854208419521117,0.01343112587723482,0.0224087631706448,1.0021503548251098,0.01343112587723482,,,,,,,,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
45+central,2000,1.0,0.0,,0.0,,,1.0019898645592176,,0.013425976355788358,,1.0021504800331178,,0.9035,,0.9525,,0.99,,0.9515,exp,exponential,1,16384,128,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0013355335936648277,1.0
46+aee,2000,1.0,-0.11694796124348372,0.0009373062155492914,0.12422975883209438,0.11185853320011319,0.19489847083087425,0.998096982026105,0.014855879776909327,-0.12386220619455814,0.022151144582307047,0.9906293013092949,0.12386220619455814,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
47+cs_q0,2000,1.0,-0.007846537119683973,0.0009406096790216249,0.04278056258092731,0.029740028985763445,0.07879454083879409,0.9924600449706924,0.014761696939786515,-0.01476078207075841,0.02219517612026201,0.992598451549718,0.01476078207075841,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
48+cs_q1,2000,1.0,-1.4301151609934948e-05,4.6140393938625077e-07,2.5101737675654365e-05,6.940882812500604e-06,4.845247658735728e-05,0.990961392487275,0.01477322939296599,-0.006928546102684372,0.022163570340758183,0.9911849981206695,0.006928546102684372,0.898,3.2895291844625087,0.95,3.9197157862546694,0.9955,5.151379751596483,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
49+cs_q2,2000,1.0,-4.925531982280518e-12,4.44343490482631e-13,2.0468163064611095e-11,3.694822225952521e-13,1.8313528471480813e-11,0.9909610179155526,0.01477322007141213,-0.006914244955999969,0.022163564196929473,0.9911847233602967,0.006914244955999969,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
50+csl1,2000,1.0,-7.105427357601002e-17,4.037961781062931e-16,1.8053938746512867e-14,0.0,2.842170943040401e-14,0.9909610179152615,0.014773220071403892,-0.006914244951074508,0.022163564196923728,0.9911847233600398,0.006914244951074508,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
51+csl2,2000,1.0,9.947598300641403e-17,4.196202047339255e-16,1.8761557685780177e-14,0.0,4.263256414560601e-14,0.9909610179152618,0.014773220071403905,-0.006914244951074337,0.022163564196923738,0.9911847233600403,0.006914244951074337,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
52+r1_q0,2000,1.0,0.11726122360165428,0.0009420471776101148,0.12459619928937915,0.11182473596270626,0.19670792482430244,0.9994306851922617,0.014963844914989336,0.11034697865057984,0.022216872284602444,0.9935687335160425,0.11034697865057984,0.8955,3.2925432637163063,0.949,3.923307283204426,0.9955,5.15609977867849,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
53+r1_q1,2000,1.0,-0.00012127635458258368,1.995666986843732e-06,0.00015056342497058863,9.758840502627208e-05,0.00030222881618442444,0.9909601822047195,0.01477320377140042,-0.007035521305657021,0.02216352641230855,0.9911830335806792,0.007035521305657021,0.898,3.2895264351101563,0.95,3.919712510199279,0.9955,5.151375446129881,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
54+r1_q2,2000,1.0,-1.77101803444657e-10,6.784212679285812e-12,3.512408099826057e-10,7.44648787076585e-11,7.098122978277388e-10,0.9909610179148512,0.014773220071504814,-0.006914245128176241,0.022163564196886917,0.9911847233583936,0.006914245128176241,0.898,3.289529552009537,0.95,3.919716224213966,0.9955,5.151380327172563,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
55+r2_q0,2000,1.0,-0.008117438490963068,0.001360588265632943,0.06137134888840321,0.040769760944876055,0.12337028626228204,0.9953141852845085,0.014835728531737227,-0.015031683442037504,0.022258928948170248,0.9954495646889314,0.015031683442037504,0.901,3.2893209270430974,0.9485,3.9194676322336237,0.9935,5.151053621930711,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
56+r2_q1,2000,1.0,-2.9425950725496363e-05,1.0650897255683124e-06,5.597842805043917e-05,1.3043047822236531e-05,0.0001187021291556789,0.9909610994474203,0.01477321043460569,-0.006943670901799933,0.02216356141854464,0.9911845991071497,0.006943670901799933,0.898,3.289528795742499,0.95,3.919715323066208,0.9955,5.151379142863659,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
57+r2_q2,2000,1.0,-2.447784197556757e-11,2.6145266329346527e-12,1.1943126905009323e-10,1.3358203432289883e-12,1.0988117082888493e-10,0.9909610179147491,0.014773220071381927,-0.006914244975552279,0.022163564196908448,0.9911847233593566,0.006914244975552279,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
58+r3_q0,2000,1.0,-0.008494004024850454,0.001960661930333718,0.0880720972799501,0.05692052135985648,0.173530675212163,0.9985501522062561,0.014923872242870267,-0.015408248975924892,0.022331185304095693,0.9986809671620457,0.015408248975924892,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
59+r3_q1,2000,1.0,-6.05893070422141e-05,2.3534079969351604e-06,0.00012141904298227847,2.525541833620082e-05,0.00023606968843736809,0.9909597508144845,0.014773196090611911,-0.006974834258116651,0.02216352635888565,0.9911830311915343,0.006974834258116651,0.898,3.289527994818129,0.95,3.9197143687059577,0.9955,5.151377888621683,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
60+r3_q2,2000,1.0,-1.1510714159612689e-10,1.586793082757284e-11,7.187352226758859e-10,4.988010005035903e-12,4.35415614674639e-10,0.9909610179063284,0.014773220071197976,-0.006914245066181579,0.02216356419670596,0.9911847233503011,0.006914245066181579,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
61+stale_r1_q1,2000,1.0,0.00024189956420206472,3.975194753082555e-06,0.00030017318940520657,0.00019488854081828322,0.000601211546414504,0.9909627211712654,0.014773254501454657,-0.006672345386872372,0.022163639383785006,0.9911880858186966,0.006672345386872372,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
62+stale_r1_q2,2000,1.0,2.783487429383058e-07,7.322675012655619e-09,4.297296124401203e-07,1.7136467533873656e-07,9.190277076243088e-07,0.9909610195008165,0.014773220011992657,-0.006913966602331499,0.022163564275825855,0.9911847268886502,0.006913966602331499,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
63+stale_r2_q1,2000,1.0,3.541769780051851e-05,1.8355050716020961e-06,8.938233591921288e-05,1.9649538693045088e-05,0.0001967159125356943,0.9909629448129268,0.014773259824181758,-0.006878827253273919,0.022163612808617842,0.9911868973410907,0.006878827253273919,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
64+stale_r2_q2,2000,1.0,4.7802197165935925e-08,2.9863363055090778e-09,1.4181869026529834e-07,1.6647163647576235e-08,2.7678584473278524e-07,0.9909610198763542,0.01477322010427785,-0.006914197148877271,0.022163564248247128,0.9911847256552921,0.006914197148877271,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
65+stale_r3_q1,2000,1.0,6.588181575989438e-05,2.8394151223926602e-06,0.00014302764713204104,3.0411897981252878e-05,0.00029725478218622925,0.9909657065516846,0.014773334866665487,-0.006848363135314542,0.02216367929929424,0.9911898708945367,0.006848363135314542,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
66+stale_r3_q2,2000,1.0,7.51436565664676e-08,3.993696234758511e-09,1.9372619529535058e-07,2.6895605742538464e-08,3.626555184155222e-07,0.9909610225845528,0.014773220181297378,-0.006914169807417871,0.02216356431308779,0.9911847285550546,0.006914169807417871,,,,,,,,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
67+central,2000,1.0,0.0,,0.0,,,0.9909610179152619,,-0.006914244951074437,,0.9911847233600404,,0.898,,0.95,,0.9955,,0.95,exp,exponential,1,16384,16,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0006852821579086088,1.0
68+aee,2000,1.0,-14.199314366364302,0.009397846186844163,14.205529880339906,14.194835335572904,14.904482455163649,14.24824668097161,0.021876253991357317,-14.21429776353656,0.021985858515335823,0.9832374836796701,14.21429776353656,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
69+cs_q0,2000,1.0,-0.03116956868768719,0.012756874359329836,0.5712131747502072,0.3789163874117847,1.1074079247606803,1.1781257235101428,0.018837122814130622,-0.04615296585994426,0.02633005313170243,1.1775157730733572,0.04615296585994426,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
70+cs_q1,2000,1.0,-0.0025481609384821694,8.21240365721815e-05,0.0044693505766320715,0.001121219875884094,0.009512190347493286,1.0160324547317954,0.016240101365930747,-0.01753155811073924,0.02272147507280295,1.0161352562370876,0.01753155811073924,0.8985,3.2892566781694144,0.9465,3.9193910749786784,0.9875,5.150953008642793,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
71+cs_q2,2000,1.0,-1.559088557883115e-07,1.2515036902293573e-08,5.808642203614323e-07,9.853842186657857e-09,7.065002733952497e-07,1.0161405996302215,0.01624473976526051,-0.01498355308111286,0.022724806139635338,1.016284226074584,0.01498355308111286,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
72+csl1,2000,1.0,-2.6290081223123706e-16,4.145587598085773e-16,1.8536860266501154e-14,0.0,4.263256414560601e-14,1.0161406180931531,0.016244740435555505,-0.014983397172257334,0.022724806604051715,1.0162842468439157,0.014983397172257334,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
73+csl2,2000,1.0,9.947598300641403e-17,4.368417603908903e-16,1.9531526105002593e-14,0.0,4.263256414560601e-14,1.0161406180931531,0.016244740435555505,-0.014983397172256972,0.022724806604051722,1.016284246843916,0.014983397172256972,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
74+r1_q0,2000,1.0,18.24795143618946,0.015013310399550821,18.26029313007725,18.224052596156717,19.371870609354282,18.282538485393147,0.03011857694735687,18.232968039017205,0.03009148929337411,1.3457323120838325,18.232968039017205,0.0,3.7583098102946066,0.0,4.478302354826077,0.0,5.885486940934816,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
75+r1_q1,2000,1.0,-2.6050895062017885,0.004201992955274858,2.6118551200574354,2.597958691557146,2.9203344990090905,2.807246358778241,0.021563251302620795,-2.6200729033740453,0.022542829004123476,1.0081459611674797,2.6200729033740453,0.1605,3.2223691848717966,0.243,3.8396897108381705,0.453,5.046207660817372,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
76+r1_q2,2000,1.0,-0.053296416059692875,0.00017142754026500505,0.05384471543734767,0.05262550228319185,0.06640041601080711,1.0177176347396735,0.016229820023084443,-0.06827981323194994,0.022711262102659786,1.0156785183272419,0.06827981323194994,0.897,3.2879524054897638,0.945,3.9178369382237426,0.987,5.14891052672646,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
77+r2_q0,2000,1.0,-6.1523555281736355,0.02737294116126003,6.272900850705077,6.109332390110168,8.232004208538298,6.367106657818496,0.0352366566436957,-6.167338925345892,0.03539230415742644,1.582791959527079,6.167338925345892,0.001,3.131201475778014,0.002,3.731056685109304,0.0085,4.903439664459897,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
78+r2_q1,2000,1.0,-0.3074604182482183,0.0026960545514233387,0.33024545472682293,0.29147645620474094,0.5313041443495201,1.0737321463462401,0.016775559010346688,-0.32244381542047534,0.022906936020693013,1.0244293219701621,0.32244381542047534,0.875,3.2814201776641347,0.9275,3.9100533086853675,0.981,5.138681103527327,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
79+r2_q2,2000,1.0,-0.0008522331855607277,1.5448690121211234e-05,0.0010969898784706008,0.0006641661611723748,0.002206609670803061,1.0161646194852016,0.0162432122946617,-0.0158356303578178,0.022725054398197556,1.0162953285350063,0.0158356303578178,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
80+r3_q0,2000,1.0,6.046358955968289,0.0632427846398026,6.674860042922386,5.947606624200084,10.46509972697596,6.757741319960369,0.0813079937747525,6.031375558796031,0.0681697283554864,3.048642932211251,6.031375558796031,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
81+r3_q1,2000,1.0,-0.3480146645401952,0.0080758504777615,0.5014855025346263,0.2771464557310068,0.854339065446016,1.1261751205195611,0.022000599985066614,-0.36299806171245225,0.02384398608604193,1.0663354748589782,0.36299806171245225,0.866,3.280377899553172,0.9225,3.9088113577142347,0.973,5.137048903277605,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
82+r3_q2,2000,1.0,-0.0019641664224945,0.0002213784032868104,0.01009087390771723,0.0006006494348653746,0.005684687792575712,1.0161174967141455,0.016229822640589257,-0.01694756359475157,0.02272359906761481,1.016230244172751,0.01694756359475157,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
83+stale_r1_q1,2000,1.0,4.052256829336281,0.005675908340153483,4.060195200472348,4.04313320182834,4.476104373739647,4.1802172267969615,0.02397011029180591,4.0372734321640245,0.024240739578320424,1.0840788304398812,4.0372734321640245,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
84+stale_r1_q2,2000,1.0,0.5611954918102486,0.0011834647817095488,0.5636844482672473,0.557854517047339,0.6511349787379614,1.1597999355226907,0.018281236775433213,0.5462120946379915,0.02288353003861777,1.0233825746301546,0.5462120946379915,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
85+stale_r2_q1,2000,1.0,-0.3926545988826851,0.0006782433805439949,0.3938238212400852,0.39513486048318214,0.43595080726407076,1.0926571276613475,0.016988424158276134,-0.40763799605494216,0.022674269396102977,1.0140241541965873,0.40763799605494216,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
86+stale_r2_q2,2000,1.0,-0.04251934047368268,8.669894586092406e-05,0.04269566971059861,0.04258953152304912,0.04874323454945042,1.017345166671905,0.016228218844107363,-0.05750273764593975,0.022717842367572526,1.0159727967203387,0.05750273764593975,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
87+stale_r3_q1,2000,1.0,0.9620227015782107,0.013144871366565496,1.1273376500391097,0.8939041499526326,1.867201983655681,1.5247115144497405,0.027483182517947763,0.9470393044059535,0.02672616738543916,1.1952305410375956,0.9470393044059535,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
88+stale_r3_q2,2000,1.0,0.11573350298716678,0.0017855789674344838,0.14059743923457635,0.10456480561852999,0.23309300352865917,1.0272023272154756,0.016533322501744416,0.10075010581490972,0.022863910378727644,1.0225051567659595,0.10075010581490972,,,,,,,,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
89+central,2000,1.0,0.0,,0.0,,,1.0161406180931536,,-0.01498339717225707,,1.0162842468439162,,0.898,,0.9465,,0.9875,,0.948,exp,exponential,1,16384,2048,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.012439305215957526,1.0
90+aee,2000,1.0,-1.9578619337490977,0.003768827216344748,1.9650998103756692,1.9524715815958729,2.245549483730552,2.189429931332938,0.020712384936882093,-1.961391770946581,0.021760276362065598,0.9731491430952101,1.961391770946581,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
91+cs_q0,2000,1.0,-0.012396433520629841,0.003927019083166773,0.1760147943903121,0.12319117085453257,0.3373398121378145,0.993920660096843,0.016150406286879686,-0.01592627071811316,0.022227445780096555,0.9940415946097348,0.01592627071811316,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
92+cs_q1,2000,1.0,-0.00024212830824751563,7.115289853540647e-06,0.0003997876807818132,0.00011896977160574806,0.0008869581926091996,0.9755998748720754,0.015729260747644715,-0.003771965505730833,0.021820369115060245,0.9758365727082329,0.003771965505730833,0.9095,3.2896103112288166,0.95,3.9198124547591124,0.9895,5.151506795546493,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
93+cs_q2,2000,1.0,-1.249289944382781e-09,7.854664227057851e-11,3.727426164807079e-09,1.1156231494169333e-10,6.154208875841504e-09,0.9755882968523644,0.01572928828428038,-0.0035298384467732616,0.02182013042224405,0.9758258980409777,0.0035298384467732616,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
94+csl1,2000,1.0,4.1211478674085813e-16,4.198859116196882e-16,1.877769666311784e-14,0.0,4.263256414560601e-14,0.9755882967714662,0.015729288284260623,-0.003529837197482905,0.021820130420535745,0.97582589796458,0.003529837197482905,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
95+csl2,2000,1.0,-1.7763568394002506e-16,4.3561350907096537e-16,1.9477167501388996e-14,0.0,4.263256414560601e-14,0.975588296771466,0.015729288284260647,-0.003529837197483495,0.021820130420535738,0.9758258979645797,0.003529837197483495,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
96+r1_q0,2000,1.0,2.019096800277496,0.004009429588669352,2.027038940084327,2.0100641356896887,2.3252369339495105,2.2542707940018913,0.021270846546166792,2.0155669630800124,0.02258026237978063,1.0098200326194133,2.0155669630800124,0.358,3.3415090137402,0.478,3.981653573081108,0.73,5.232779801578495,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
97+r1_q1,2000,1.0,-0.032099139385925735,0.00012774082235481708,0.032603280003569615,0.031499853027014524,0.042408870683005515,0.975931069402585,0.015739836291100515,-0.03562897658340905,0.021813388688818863,0.9755243985564798,0.03562897658340905,0.9105,3.2887915593504577,0.949,3.9188368517221224,0.989,5.150224635817471,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
98+r1_q2,2000,1.0,-8.30403910805444e-06,6.724096585006485e-08,8.8314913314518e-06,7.755127526820615e-06,1.40951856408833e-05,0.9755882385274941,0.015729287386538403,-0.003538141236591372,0.021820128445028984,0.9758258096172319,0.003538141236591372,0.9095,3.289616320708459,0.95,3.9198196154957716,0.9895,5.151516206349685,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
99+r2_q0,2000,1.0,-0.07682166006534252,0.005718053614566312,0.2669478330988392,0.18582408289410068,0.5224327218571233,1.0158419518740294,0.016416184774552586,-0.08035149726282584,0.022649409526815188,1.0129123870438022,0.08035149726282584,0.899,3.287642153095052,0.9405,3.917467249693536,0.986,5.148424673640992,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
100+r2_q1,2000,1.0,-0.0005568482958409717,1.7222914657673632e-05,0.0009502846807155777,0.00026902385710059207,0.002135146711113123,0.9756045819805805,0.01573051282453332,-0.004086685493324289,0.021820446045496027,0.9758400131419117,0.004086685493324289,0.9095,3.289602222661425,0.95,3.9198028166365986,0.9895,5.151494128906392,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
101+r2_q2,2000,1.0,-7.058960214578747e-09,5.441817913361373e-10,2.53337804034968e-08,5.639009259539307e-10,3.5527746433672284e-08,0.9755882972901077,0.015729288326401462,-0.003529844256443532,0.02182013043156465,0.9758258984578075,0.003529844256443532,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
102+r3_q0,2000,1.0,-0.00847753173138058,0.008217152976821374,0.36748816719750427,0.24794108353054156,0.7376500112998499,1.0458297457634143,0.016798310980453,-0.012007368928863898,0.023389770858173998,1.046022352340413,0.012007368928863898,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
103+r3_q1,2000,1.0,-0.0010552370312415817,3.446064853339602e-05,0.001867460910030168,0.00047770322624529626,0.004228325488446671,0.9756134409413517,0.015731416314253493,-0.004585074228724899,0.021820594648067418,0.9758466588509369,0.004585074228724899,0.9095,3.289589413653314,0.9495,3.91978755376204,0.9895,5.15147407008906,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
104+r3_q2,2000,1.0,-2.7266879293108558e-08,2.233377363733192e-09,1.0351059670201774e-07,1.7768400084605673e-09,1.3902993742931347e-07,0.975588299590643,0.015729288472804172,-0.0035298644643626106,0.021820130481384044,0.9758259006857987,0.0035298644643626106,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
105+stale_r1_q1,2000,1.0,0.062215172720313676,0.0002424097875807182,0.06315214932481084,0.06120997904015013,0.08152970293890505,0.9780137738245481,0.015752502233604034,0.058685335522830354,0.021835106423574353,0.9764956451810914,0.058685335522830354,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
106+stale_r1_q2,2000,1.0,0.0009962505483236584,5.869476737968733e-06,0.0010302340601208663,0.0009626997349556632,0.0014781877892133366,0.9755952975656397,0.015729290155091714,-0.002533586649159659,0.021820356247293934,0.9758359972442291,0.002533586649159659,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
107+stale_r2_q1,2000,1.0,-0.0004048871192589658,8.391355002301602e-05,0.0037735738829913984,0.0026648131736948244,0.007284001697785667,0.9756402675749384,0.015728680585261088,-0.003934724316742283,0.021821258178284907,0.9758763328243656,0.003934724316742283,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
108+stale_r2_q2,2000,1.0,-2.9474062663581433e-06,1.3575371908853916e-06,6.076725060218152e-05,3.958680233040468e-05,0.00012062203996379136,0.9755888888061517,0.015729271686290795,-0.0035327846037496754,0.021820143423611955,0.9758264794798265,0.0035327846037496754,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
109+stale_r3_q1,2000,1.0,0.0011303343860207561,0.00013042722996024571,0.005939963736599025,0.0036068888076385974,0.012101282149181712,0.9756337971734776,0.015724242691313877,-0.002399502811462561,0.021821224924721935,0.9758748456798195,0.002399502811462561,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
110+stale_r3_q2,2000,1.0,2.1082456868164457e-05,2.1287278813267843e-06,9.748283587730362e-05,5.3511386788329673e-05,0.00020239935407033726,0.9755886489100973,0.015729201279294672,-0.0035087547406151528,0.021820139997625075,0.9758263262650354,0.0035087547406151528,,,,,,,,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
111+central,2000,1.0,0.0,,0.0,,,0.9755882967714665,,-0.0035298371974833175,,0.9758258979645803,,0.9095,,0.95,,0.9895,,0.9505,exp,exponential,1,16384,256,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0020872284962096693,1.0
112+aee,2000,1.0,-0.24232746023141308,0.0013858386412527075,0.2501235193112511,0.23607628230398348,0.3523784798866039,1.0282690121005071,0.015705008582863885,-0.22584318664440642,0.022436972099744844,1.0034118964859133,0.22584318664440642,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
113+cs_q0,2000,1.0,-0.00718787302646016,0.0013984647463509213,0.06293740627457109,0.04411663014043654,0.11907709836133619,1.0052282937822279,0.01527737516306568,0.009296400560546515,0.02248224800851177,1.005436696680832,0.009296400560546515,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
114+cs_q1,2000,1.0,-3.093041788950046e-05,9.710072446768421e-07,5.330532838450338e-05,1.5170056649083108e-05,0.00011069934112981628,1.003362429474313,0.0153147838960113,0.016453343169117177,0.022438459582239362,1.003478418725375,0.016453343169117177,0.8985,3.2901301186089733,0.957,3.920431843455657,0.991,5.152320810277086,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
115+cs_q2,2000,1.0,-2.218577321855264e-11,1.8741910541079913e-12,8.668264045236851e-11,1.8047785488306545e-12,9.452634230910913e-11,1.003364444891901,0.015314844464678769,0.016484273564820903,0.022438493309269482,1.0034799270440156,0.016484273564820903,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
116+csl1,2000,1.0,1.2079226507921704e-16,4.1177988503098407e-16,1.8411148131766468e-14,0.0,4.263256414560601e-14,1.003364444893499,0.015314844464726788,0.016484273587006798,0.022438493309297078,1.0034799270452497,0.016484273587006798,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
117+csl2,2000,1.0,-1.2079226507921704e-16,4.3527524767202583e-16,1.946160858464567e-14,0.0,4.263256414560601e-14,1.0033644448934989,0.015314844464726798,0.016484273587006555,0.022438493309297074,1.0034799270452495,0.016484273587006555,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
118+r1_q0,2000,1.0,0.24331955632884478,0.0014018961875843852,0.25126294398631954,0.23674636162540708,0.35498703598743614,1.0401221024938152,0.015956350054171415,0.25980382991585144,0.022526244579957017,1.0074042831714018,0.25980382991585144,0.8885,3.296384430026876,0.9435,3.9278843151688436,0.989,5.162115018320761,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
119+r1_q1,2000,1.0,-0.0004931212953446718,5.783425929121094e-06,0.0005568044493915164,0.0004384834366746304,0.0009822269093675117,1.0033511034900364,0.015314654431953992,0.015991152291662005,0.022438373387161113,1.0034745639642892,0.015991152291662005,0.8985,3.290118239916143,0.957,3.9204176891201294,0.9905,5.152302208326993,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
120+r1_q2,2000,1.0,-2.4213712990217575e-09,6.239440463195392e-11,3.6939503738882202e-09,1.5065566572047828e-09,7.522895373313071e-09,1.0033644447980876,0.015314844463835603,0.01648427116563538,0.022438493308052653,1.0034799269895973,0.01648427116563538,0.8985,3.290130913484399,0.957,3.9204327906081464,0.991,5.152322055046457,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
121+r2_q0,2000,1.0,-0.007806943175995983,0.001989805175150194,0.08930642926031229,0.06017129213486072,0.17203190662899032,1.005908603871109,0.015270293989793338,0.008677330411010693,0.022497588368103394,1.0061227384177551,0.008677330411010693,0.904,3.2899302685654046,0.955,3.920193707440826,0.9905,5.152007846503226,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
122+r2_q1,2000,1.0,-6.22756654166139e-05,1.9905618892326755e-06,0.000108623061253945,2.8336979895016157e-05,0.00023199220267855478,1.0033601122267353,0.015314732995277839,0.016421997921590062,0.022438419234090838,1.0034766143013176,0.016421997921590062,0.8985,3.2901293130098463,0.957,3.9204308835250914,0.991,5.152319548714476,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
123+r2_q2,2000,1.0,-9.20613487664923e-11,6.927061049452917e-12,3.2310316824138135e-10,6.295408638834488e-12,4.2157495272476804e-10,1.003364444878443,0.01531484446446821,0.01648427349494533,0.022438493308994115,1.0034799270317007,0.01648427349494533,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
124+r3_q0,2000,1.0,-0.006384374863209459,0.002813142584118523,0.12593803582856725,0.08390224982721861,0.2482322578950871,1.0083507013774704,0.015351817457464516,0.010099898723797218,0.022551914751004428,1.0085522881205229,0.010099898723797218,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
125+r3_q1,2000,1.0,-0.00012386437424676444,4.104168139099042e-06,0.00022139090143775083,5.496374538438431e-05,0.00048155787576860116,1.0033587396145847,0.015314669008949986,0.016360409212759913,0.022438411036225243,1.0034762476816228,0.016360409212759913,0.8985,3.290127730128424,0.957,3.920428997405543,0.991,5.152317069933211,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
126+r3_q2,2000,1.0,-3.8269282498504253e-10,3.361136668603476e-11,1.55073273497747e-09,2.354738626308972e-11,1.8162921833209105e-09,1.0033644448643284,0.01531484446375786,0.01648427320431385,0.02243849330878519,1.0034799270223573,0.01648427320431385,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
127+stale_r1_q1,2000,1.0,0.0009818097012113042,1.1467433631083874e-05,0.0011076203571283685,0.0008722294790501905,0.001953622993049464,1.0033919286100335,0.015315225492619114,0.01746608328821798,0.022438736542327285,1.0034908047570479,0.01746608328821798,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
128+stale_r1_q2,2000,1.0,2.112096952878062e-06,3.837303239355708e-08,2.7211137938159956e-06,1.6129505766571128e-06,5.39440194060603e-06,1.003364513555652,0.015314845045636663,0.016486385683959555,0.02243849406896475,1.0034799610186207,0.016486385683959555,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
129+stale_r2_q1,2000,1.0,7.791841643734898e-05,4.783915063323732e-06,0.0002276402434609541,6.868375388080494e-05,0.0004987915115286512,1.0033685845359066,0.015314777850478753,0.016562192003444026,0.022438557207173204,1.0034827846451424,0.016562192003444026,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
130+stale_r2_q2,2000,1.0,2.1457315925488274e-07,1.3439975903226943e-08,6.38064974966487e-07,1.1778461583844546e-07,1.2888891731677177e-06,1.0033644587832515,0.015314844433238663,0.01648448816016593,0.02243849354114376,1.0034799374137484,0.01648448816016593,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
131+stale_r3_q1,2000,1.0,0.0001422756314467435,7.002958748430543e-06,0.0003439130360087811,9.283348612143527e-05,0.0008011002190087876,1.003367507387215,0.01531484066341482,0.01662654921845342,0.022438509302549932,1.003480642285261,0.01662654921845342,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
132+stale_r3_q2,2000,1.0,3.3886699059593183e-07,1.87525685490668e-08,9.043212000518702e-07,1.6841529060229732e-07,1.8814899320318544e-06,1.0033644581377656,0.015314844524563656,0.016484612453997273,0.02243849348102532,1.0034799347251702,0.016484612453997273,,,,,,,,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
133+central,2000,1.0,0.0,,0.0,,,1.003364444893499,,0.016484273587006677,,1.0034799270452497,,0.8985,,0.957,,0.991,,0.957,exp,exponential,1,16384,32,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0007756386600667111,1.0
134+aee,2000,1.0,-3.876916159811598,0.0053550596936885915,3.884302197588381,3.8686786629117265,4.273629740841008,3.975689504571362,0.021428088525588466,-3.8520334344625824,0.022004882087584263,0.9840882436941178,3.8520334344625824,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
135+cs_q0,2000,1.0,-0.002658164741945221,0.005731440626407192,0.2562675159597935,0.17742376486911127,0.4935472671446815,1.0209808026890534,0.015718792125135043,0.0222245606070708,0.02283012355317925,1.0209941639925568,0.0222245606070708,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
136+cs_q1,2000,1.0,-0.0005130019165718096,1.6028536104620122e-05,0.0008813296725691892,0.0002465850986084206,0.0019144182200030002,0.9864322180379851,0.014854106363684727,0.024369723432444212,0.02205607748350921,0.9863777714025819,0.024369723432444212,0.9065,3.2903335762150423,0.956,3.9206742781463455,0.9945,5.152639423468653,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
137+cs_q2,2000,1.0,-6.070562676541158e-09,4.380251952508273e-10,2.0503463329086402e-08,4.754525662065134e-10,2.8253139561229515e-08,0.9864407399593046,0.014855218520798193,0.024882719278453345,0.022055981615627523,0.9863734840605757,0.024882719278453345,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
138+csl1,2000,1.0,-3.836930773104541e-16,4.053314116442887e-16,1.812650085800936e-14,0.0,4.263256414560601e-14,0.9864407396653,0.014855218527324066,0.024882725349015637,0.022055981605623647,0.9863734836131887,0.024882725349015637,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
139+csl2,2000,1.0,-4.1211478674085813e-16,4.368658109313687e-16,1.953669522672999e-14,0.0,4.263256414560601e-14,0.9864407396652998,0.014855218527324065,0.02488272534901561,0.02205598160562364,0.9863734836131883,0.02488272534901561,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
140+r1_q0,2000,1.0,4.127091014632475,0.005964255793014622,4.135696962428698,4.121856699317561,4.571592289751067,4.283584697384508,0.023290402278719525,4.151973739981491,0.023566579151668886,1.053929459605219,4.151973739981491,0.0065,3.3964164580469207,0.02,4.04707982837883,0.073,5.318764476269797,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
141+r1_q1,2000,1.0,-0.1335900875592445,0.00038391996281820226,0.13468835575226767,0.1326637564727804,0.1632340438087283,0.9911054288668191,0.014791820042537181,-0.10870736221022849,0.022033589807500507,0.9853720919583528,0.10870736221022849,0.9055,3.2869133836059254,0.9535,3.9165988672865457,0.9925,5.147283425705695,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
142+r1_q2,2000,1.0,-0.00014168850899526575,8.177826575915137e-07,0.0001463301122904692,0.00013728861389949998,0.00020834263091700221,0.986435860173503,0.014854957344688282,0.024741036840020755,0.022055952171222384,0.9863721672667467,0.024741036840020755,0.907,3.290343119280749,0.956,3.9206856494104994,0.9945,5.152654367842967,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
143+r2_q0,2000,1.0,-0.28236569342504486,0.00877179715328155,0.4832621348654835,0.34080015866645397,0.9199868568607846,1.087144906699782,0.016822049371575398,-0.25748296807602883,0.023623554364604556,1.056477468588353,0.25748296807602883,0.8705,3.2830897258729532,0.928,3.9120426980791225,0.9815,5.141295604373784,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
144+r2_q1,2000,1.0,-0.0018245189854853195,5.416350947651152e-05,0.0030320467279152993,0.0009048109639735458,0.006585793378646085,0.986441485580065,0.014852223797463069,0.0230582063635307,0.022056990211834288,0.9864185898541792,0.0230582063635307,0.9065,3.2902998691274243,0.956,3.920634113674155,0.9945,5.152586638404619,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
145+r2_q2,2000,1.0,-7.183533664800735e-08,4.806451529573272e-09,2.2658589150099547e-07,6.3573821762474836e-09,3.3914406358803703e-07,0.9864407413032698,0.014855218408007397,0.02488265351367937,0.022055981682811754,0.9863734870651457,0.02488265351367937,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
146+r3_q0,2000,1.0,0.0319263879309719,0.012922116941796095,0.5786315975255489,0.388708306099673,1.1267553009954774,1.1360193990262075,0.01739336652324917,0.056809113279987916,0.02537672928098899,1.134881834378015,0.056809113279987916,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
147+r3_q1,2000,1.0,-0.0026157996610264435,8.088089836647097e-05,0.004463104926846366,0.0011828638625175358,0.009896143866772174,0.9864587746529526,0.014850219108749542,0.02226692568798958,0.022057783704762544,0.9864540759367241,0.02226692568798958,0.9065,3.2902795325510317,0.956,3.9206098811487538,0.9945,5.152554791467878,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
148+r3_q2,2000,1.0,-1.5565805191641858e-07,1.0576444714374369e-08,4.978352473821569e-07,1.0931074712061672e-08,7.77700389420488e-07,0.9864407446582308,0.014855218238071781,0.024882569690964106,0.022055981805179856,0.9863734925376136,0.024882569690964106,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
149+stale_r1_q1,2000,1.0,0.25088539408693716,0.0006957782465028624,0.2528066684156149,0.2495079206268116,0.3042348996064305,1.0264965395295653,0.0157637638874388,0.27576811943595314,0.02211488365386481,0.989007663290813,0.27576811943595314,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
150+stale_r1_q2,2000,1.0,0.008136240784680674,3.41637234632336e-05,0.008278379488042628,0.008009358980245906,0.01079373019024956,0.9867527837231808,0.014870339385472761,0.033018966133696696,0.02205762161626083,0.98644682711856,0.033018966133696696,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
151+stale_r2_q1,2000,1.0,-0.0063059662579914785,0.0002272752876142077,0.01195916673981965,0.009735201948963379,0.020334133909051387,0.9861142555302996,0.014846524452376478,0.01857675909102454,0.022051785758038615,0.9861858396047215,0.01857675909102454,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
152+stale_r2_q2,2000,1.0,-0.00017869627359851849,6.959611365115754e-06,0.0003588262848713007,0.00029406979646751097,0.0006108153218193023,0.9864281577141616,0.014854922201780594,0.0247040290754175,0.022055800593252163,0.9863653884938406,0.0247040290754175,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
153+stale_r3_q1,2000,1.0,0.003981098622721518,0.0004094299729389113,0.01873358798582401,0.01160641695008735,0.037789977486986,0.9863146024030818,0.014854967894437389,0.028863823971737538,0.02205073252053058,0.9861387373914332,0.028863823971737538,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
154+stale_r3_q2,2000,1.0,0.00013812151997462507,1.287472442120136e-05,0.0005919703147919972,0.0003481776433318373,0.0012239241924390852,0.9864306639178335,0.014855159690009303,0.025020846868990646,0.022055678008981863,0.9863599063586133,0.025020846868990646,,,,,,,,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
155+central,2000,1.0,0.0,,0.0,,,0.9864407396652994,,0.02488272534901602,,0.986373483613188,,0.907,,0.956,,0.9945,,0.9555,exp,exponential,1,16384,512,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0035506618266226224,1.0
156+aee,2000,1.0,-0.4858633150826828,0.001936098679142437,0.4935143044084874,0.48092514555270327,0.6358017217046878,1.1023480538415116,0.017788210388156644,-0.4800311459910678,0.022194976319659596,0.9925895161951392,0.4800311459910678,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
157+cs_q0,2000,1.0,-0.012482931316548807,0.001942253909874213,0.08773113315606147,0.05982808312690224,0.1694391353147928,1.0004376120583425,0.016774170233544234,-0.00665076222493375,0.022375565343777118,1.0006657028734818,0.00665076222493375,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
158+cs_q1,2000,1.0,-6.013207500551943e-05,1.8876845519085059e-06,0.00010362919003123556,2.788805575448805e-05,0.00022312371032882076,0.9948113688861839,0.016624821918683676,0.005772037016609538,0.0222498471787264,0.995043415612283,0.005772037016609538,0.9005,3.289855600090762,0.9455,3.9201047344655517,0.9835,5.151890916192901,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
159+cs_q2,2000,1.0,-8.388283134763697e-11,6.0387100989000165e-12,2.827223066762714e-10,6.0325078266032506e-12,3.901604372913425e-10,0.994811208808294,0.016624827785493745,0.005832169007732226,0.022249835754072068,0.9950429046862088,0.005832169007732226,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
160+csl1,2000,1.0,-7.105427357601002e-18,4.1252405474645587e-16,1.844402520818781e-14,0.0,4.263256414560601e-14,0.9948112088102635,0.016624827785629043,0.0058321690916150505,0.022249835754105118,0.9950429046876869,0.0058321690916150505,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
161+csl2,2000,1.0,-2.1316282072803005e-16,4.1059409087788483e-16,1.8358972351641863e-14,0.0,2.842170943040401e-14,0.9948112088102634,0.016624827785629043,0.005832169091614844,0.022249835754105118,0.9950429046876869,0.005832169091614844,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
162+r1_q0,2000,1.0,0.4894517715766885,0.0019536750620496946,0.49718498805722255,0.4852025348934177,0.6386552392177919,1.1198224915971657,0.018085350600331486,0.49528394066830356,0.022463312658850765,1.004589882100437,0.49528394066830356,0.8675,3.302436466186971,0.919,3.9350957610461914,0.9805,5.1715924647219955,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
163+r1_q1,2000,1.0,-0.0019308786928497526,1.5439078890174384e-05,0.0020505571133958324,0.0018403639316488807,0.003190577455544741,0.9947726708297058,0.016623842637759106,0.0039012903987653046,0.022249185072708736,0.9950138053310067,0.0039012903987653046,0.9,3.289807520335145,0.9455,3.9200474439031274,0.9835,5.1518156236310615,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
164+r1_q2,2000,1.0,-3.2842713871161775e-08,5.514269306677578e-10,4.106681266539278e-08,2.653196418123116e-08,7.993584816290421e-08,0.9948112078884119,0.016624827755561972,0.005832136248901186,0.02224983573779292,0.9950429039581832,0.005832136248901186,0.9005,3.28985714469139,0.9455,3.920106574970721,0.9835,5.151893335026709,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
165+r2_q0,2000,1.0,-0.02322835220940852,0.002817376727034828,0.12808919540233385,0.08616762638304465,0.2535810637795052,1.0075136319056248,0.016945357340488628,-0.01739618311779346,0.022530964644866217,1.0076153708913054,0.01739618311779346,0.9015,3.2892601574201663,0.9455,3.919395220761656,0.984,5.150958457125195,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
166+r2_q1,2000,1.0,-0.00012817745246491795,4.023242823144632e-06,0.00022087607037782952,5.8040274588222474e-05,0.0005010850599454387,0.994811104599359,0.016624697269687235,0.005703991639150139,0.02224985004601882,0.9950435438414982,0.005703991639150139,0.9005,3.289853851267545,0.9455,3.92010265061416,0.9835,5.151888177547946,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
167+r2_q2,2000,1.0,-3.8102235322412526e-10,2.4675041559291795e-11,1.1671694512306481e-09,2.631139750519651e-11,1.95346387954487e-09,0.9948112087948652,0.016624827785206117,0.005832168710592704,0.022249835753810673,0.9950429046745188,0.005832168710592704,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
168+r3_q0,2000,1.0,-0.024264427078078916,0.00405037340335094,0.18271126486855208,0.12100651397889806,0.36272452253236054,1.0176591580105327,0.017153379448592347,-0.01843225798646386,0.022757507749171266,1.0177466865125038,0.01843225798646386,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
169+r3_q1,2000,1.0,-0.000260808349053157,8.280185928049958e-06,0.000452852505196762,0.0001147693525567206,0.0010194559816213194,0.9948113745770064,0.016624704512959512,0.0055713607425619,0.022249872895942064,0.9950445657211313,0.0055713607425619,0.9005,3.2898504425423676,0.9455,3.920098588867588,0.9835,5.151882839508101,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
170+r3_q2,2000,1.0,-1.601951623797504e-09,1.0670779183351875e-10,5.032689949532022e-09,1.0333423006159137e-10,8.170276544205983e-09,0.9948112087845492,0.01662482778614695,0.005832167489663433,0.022249835753740035,0.9950429046713598,0.005832167489663433,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
171+stale_r1_q1,2000,1.0,0.0038315830872053666,3.052872899771103e-05,0.004067444349870734,0.0036518456690686207,0.006338522935899249,0.9949024178018588,0.016626975288507005,0.009663752178820423,0.02225120838422454,0.9951042905727866,0.009663752178820423,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
172+stale_r1_q2,2000,1.0,1.5582494485421706e-05,1.9005612497818792e-07,1.774882177331795e-05,1.3843646421207723e-05,3.178766214659845e-05,0.9948116207405258,0.016624839349354065,0.005847751586100479,0.022249842921600756,0.9950432252278364,0.005847751586100479,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
173+stale_r2_q1,2000,1.0,9.748891431451768e-05,1.1285394752841493e-05,0.0005139036852703244,0.0002463595082033976,0.0010980589840485775,0.9948281552566539,0.016625846771611802,0.0059296580059295745,0.022250201899441897,0.9950592792049404,0.0059296580059295745,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
174+stale_r2_q2,2000,1.0,5.829481158627914e-07,5.376921590197169e-08,2.473700574975669e-06,8.501495258883551e-07,5.076735777720385e-06,0.9948112836365607,0.016624832578715294,0.00583275203973092,0.022249837351275434,0.9950429761153148,0.00583275203973092,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
175+stale_r3_q1,2000,1.0,0.00022623449925858807,1.6661800837608974e-05,0.0007785471388117269,0.000312109143756345,0.0017145130008898943,0.9948342020635007,0.016626284608239887,0.0060584035908736456,0.02225031979626684,0.9950645517112386,0.0060584035908736456,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
176+stale_r3_q2,2000,1.0,1.079534683690042e-06,7.754929263227277e-08,3.6314138866333797e-06,1.1251723037730699e-06,7.650849910589841e-06,0.9948113064138171,0.0166248345197711,0.005833248626298747,0.022249837795601565,0.9950429959861834,0.005833248626298747,,,,,,,,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
177+central,2000,1.0,0.0,,0.0,,,0.9948112088102629,,0.0058321690916150574,,0.9950429046876863,,0.9005,,0.9455,,0.9835,,0.946,exp,exponential,1,16384,64,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.000969948708836403,1.0
178+aee,2000,1.0,-3.9353927269646767,0.003906504795530079,3.9392667102015007,3.9319716324545624,4.223819050599426,4.051476682557025,0.022510867429185042,-3.9214180976317357,0.022775668419846108,1.0185588563954224,3.9214180976317357,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
179+cs_q0,2000,1.0,-0.00422273667651831,0.004029900689794268,0.18022705275479112,0.1225371154786643,0.35183996735582773,1.024777241015336,0.016123994641660675,0.009751892656422598,0.02291940873571367,1.0249871187431656,0.009751892656422598,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
180+cs_q1,2000,1.0,-0.0001268626611535808,4.057778754030507e-06,0.0002213793261799176,5.8561826861591726e-05,0.00048337028200933207,1.0139072230369985,0.01574207589288556,0.013847766671787326,0.022675209606699446,1.0140662016927247,0.013847766671787326,0.8995,3.289885203506303,0.9405,3.9201400091108636,0.9915,5.151937274935095,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
181+cs_q2,2000,1.0,-1.9135457307584146e-10,1.3654171507008495e-11,6.397678761262557e-10,1.3415046851150692e-11,9.124022426476582e-10,1.0139120802380766,0.01574214671183552,0.013974629141586334,0.02267527932005802,1.014069319368899,0.013974629141586334,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
182+csl1,2000,1.0,5.968558980384842e-16,8.152081774112011e-16,3.6452989145290814e-14,0.0,8.526512829121202e-14,1.013912080259803,0.01574214671244565,0.013974629332941503,0.022675279320485006,1.0140693193879944,0.013974629332941503,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
183+csl2,2000,1.0,-1.1368683772161603e-15,8.443885247623959e-16,3.776987475789659e-14,0.0,8.526512829121202e-14,1.0139120802598025,0.015742146712445705,0.01397462933293977,0.022675279320485003,1.0140693193879942,0.01397462933293977,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
184+r1_q0,2000,1.0,4.059424118762477,0.004099623407140265,4.06356016237476,4.054983524004712,4.36364035944254,4.204313366549341,0.02288006582084022,4.073398748095419,0.023283208874375745,1.0412567555486105,4.073398748095419,0.0115,3.3420521344093426,0.0255,3.982300741274884,0.0785,5.233630324756982,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
185+r1_q1,2000,1.0,-0.06449813398710526,0.0001303818466733996,0.06476103103160552,0.0641951602403168,0.07446790296261555,1.0149945381906085,0.015786447808256526,-0.05052350465416436,0.022673501887909682,1.0139898301867174,0.05052350465416436,0.8995,3.289058005700741,0.942,3.9191543421308808,0.991,5.150641888943,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
186+r1_q2,2000,1.0,-1.6381933395081205e-05,6.67598534028717e-08,1.6651637785383043e-05,1.6088666001223828e-05,2.1683687410245512e-05,1.013911867171541,0.015742148569179503,0.013958247399545825,0.022675279601647988,1.0140693319619851,0.013958247399545825,0.8995,3.2898866232299415,0.9405,3.920141700815921,0.9915,5.151939498212407,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
187+r2_q0,2000,1.0,-0.13959491039944494,0.005942065576768442,0.30011284128364685,0.20541186727834315,0.5811456718578767,1.0509005413049537,0.016631875133430778,-0.125620281066504,0.023336195820390104,1.043626403812775,0.125620281066504,0.8845,3.2880929806612538,0.932,3.9180044438721033,0.984,5.14913066646421,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
188+r2_q1,2000,1.0,-0.0003518049937703012,1.0653350476289103e-05,0.0005921494849331962,0.00016440567642916903,0.001314134170041825,1.0139066914373307,0.015742216324500492,0.013622824339170605,0.022675265878055975,1.0140687182242925,0.013622824339170605,0.9005,3.289882312903085,0.9405,3.9201365647446855,0.9915,5.151932748270624,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
189+r2_q2,2000,1.0,-1.3696148073449875e-09,9.122837526905917e-11,4.302645118123152e-09,1.0543033113208367e-10,6.722436296513475e-09,1.013912080240488,0.01574214671132922,0.0139746279633261,0.022675279320475215,1.0140693193875565,0.0139746279633261,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
190+r3_q0,2000,1.0,-0.002792766667874787,0.008492638417331874,0.379717644063923,0.25791214057707634,0.7507837112448399,1.0777712497341754,0.017003413441924273,0.011181862665066121,0.024104427561435365,1.0779827717217794,0.011181862665066121,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
191+r3_q1,2000,1.0,-0.0005632253258022928,1.74953918609086e-05,0.000963895301172397,0.0002593322930977138,0.002204579324968847,1.0139127299599473,0.01574179751652764,0.013411404007138614,0.02267546399618796,1.0140775783365061,0.013411404007138614,0.9,3.289879596063243,0.9405,3.9201333274303405,0.9915,5.151928493718386,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
192+r3_q2,2000,1.0,-3.6295633663030456e-09,2.389619860548266e-10,1.1283717869468558e-08,2.6221869120490737e-10,1.8980142613145287e-08,1.0139120803328927,0.015742146707056818,0.013974625703377541,0.022675279323238904,1.0140693195111523,0.013974625703377541,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
193+stale_r1_q1,2000,1.0,0.1250301666938882,0.00024864807136836003,0.12552343400508323,0.12445567429485038,0.14378579402639816,1.0235471075636868,0.015852390154628956,0.1390047960268291,0.02268083737946819,1.0143178833421813,0.1390047960268291,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
194+stale_r1_q2,2000,1.0,0.001989971648008137,5.998451536678293e-06,0.0020079626540678336,0.0019668537185566493,0.0024492668358689685,1.013942081799662,0.01574190003133212,0.015964600980949043,0.022675293225034518,1.0140699412183525,0.015964600980949043,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
195+stale_r2_q1,2000,1.0,-0.0016762822768177016,8.504227071343531e-05,0.004155365892428665,0.003043539544592022,0.007721175953699344,1.0138275329396305,0.015744930564117004,0.012298347056123206,0.02267387397167749,1.0140064702786802,0.012298347056123206,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
196+stale_r2_q2,2000,1.0,-2.3990596087060112e-05,1.3142268994986937e-06,6.346815102869311e-05,4.689382973310785e-05,0.00011621268604500301,1.0139107148407316,0.015742188499477235,0.013950638736853847,0.02267525616823294,1.0140682839878052,0.013950638736853847,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
197+stale_r3_q1,2000,1.0,0.0006361201649302473,0.00013285298773477362,0.005973845633090351,0.003940591763893053,0.011630404975491612,1.0138501946485037,0.015744368622195137,0.014610749497871155,0.022673694445410994,1.0139984416199677,0.014610749497871155,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
198+stale_r3_q2,2000,1.0,1.1851522421864046e-05,2.081437313484314e-06,9.38130523027344e-05,6.0100510296479115e-05,0.00018421450414649593,1.0139108577325862,0.015742177582459643,0.013986480855362771,0.022675248319121502,1.0140679329648705,0.013986480855362771,,,,,,,,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
199+central,2000,1.0,0.0,,0.0,,,1.0139120802598043,,0.013974629332940906,,1.0140693193879957,,0.8995,,0.9405,,0.9915,,0.9405,exp,exponential,1,65536,1024,64,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.007092710925789964,1.0
200+aee,2000,1.0,-0.496440712863173,0.001426131082832045,0.5005187781383126,0.49224334996128505,0.6064080477699562,1.1203777851160355,0.017043732072803568,-0.4716042232542238,0.02273051378925933,1.0165394799256038,0.4716042232542238,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
201+cs_q0,2000,1.0,-0.0026917202014293904,0.0014335369424752476,0.06415018831118038,0.04307606332460523,0.12567019834622073,1.0176582490591144,0.016275939436373645,0.022144769407519773,0.022755831658504817,1.017671729459171,0.022144769407519773,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
202+cs_q1,2000,1.0,-1.607377960614542e-05,5.034366785629913e-07,2.765881271824023e-05,7.25123119593718e-06,6.176167637050865e-05,1.0160811632500462,0.016285962476149277,0.02482041582934302,0.02271916633361048,1.016032006281554,0.02482041582934302,0.8935,3.290026206645084,0.951,3.9203080247137043,0.9885,5.152158084866636,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
203+cs_q2,2000,1.0,-2.987661673614639e-12,2.0403925977406906e-13,9.599402549885945e-12,2.2737367544323206e-13,1.4949819160392508e-11,1.0160815162711592,0.016285976569698605,0.024836489605961503,0.02271916544429434,1.0160319665101272,0.024836489605961503,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
204+csl1,2000,1.0,4.547473508864641e-16,8.145101806015122e-16,3.641973416879715e-14,0.0,8.526512829121202e-14,1.0160815162712762,0.016285976569697606,0.02483648960894962,0.022719165444295322,1.0160319665101711,0.02483648960894962,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
205+csl2,2000,1.0,9.947598300641403e-17,8.52269148748421e-16,3.8105235028615204e-14,0.0,8.526512829121202e-14,1.016081516271275,0.016285976569697547,0.024836489608949266,0.022719165444295305,1.0160319665101702,0.024836489608949266,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
206+r1_q0,2000,1.0,0.4983300895234405,0.0014367657597181517,0.5024533864202618,0.4940375293982129,0.6095802194623147,1.1458169902866688,0.018354107926510304,0.5231665791323896,0.0228003636186976,1.0196632592624186,0.5231665791323896,0.848,3.296430163630915,0.9125,3.9279388101192336,0.9725,5.162186636825599,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
207+r1_q1,2000,1.0,-0.0009860645443477126,5.708551210616283e-06,0.0010185606569621639,0.000953269123328937,0.0014492403257094111,1.0160555697549265,0.0162842643800888,0.023850425064601454,0.02271911349692514,1.0160296433531515,0.023850425064601454,0.8935,3.2900137418573694,0.951,3.920293172003047,0.9885,5.152138565096044,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
208+r1_q2,2000,1.0,-4.052200566206921e-09,4.8291831324494656e-11,4.591535611659992e-09,3.5467166981106857e-09,8.216132130201004e-09,1.016081516170371,0.016285976563456445,0.0248364855567486,0.02271916544425381,1.0160319665083146,0.0248364855567486,0.8935,3.2900264131478143,0.951,3.9203082707768844,0.9885,5.1521584082484715,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
209+r2_q0,2000,1.0,-0.004029445545698835,0.002016675724514251,0.09025592172327566,0.06184882951987447,0.17581923157597143,1.0213486081741585,0.016302022122696665,0.020807044063250332,0.022839019978648668,1.0213920242346843,0.020807044063250332,0.8895,3.289974633136446,0.9455,3.920246571087782,0.987,5.152077321111941,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
210+r2_q1,2000,1.0,-3.181313363309357e-05,9.762651535730472e-07,5.40121252874667e-05,1.4932469213135846e-05,0.00012065393126050592,1.0160795796755984,0.016285893575984835,0.024804676475316072,0.022719139503494346,1.0160308064022836,0.024804676475316072,0.8935,3.2900260043877916,0.951,3.920307783709276,0.9885,5.1521577681331285,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
211+r2_q2,2000,1.0,-1.1392089049877541e-11,7.466528434070863e-13,3.527326380684875e-11,8.526512829121202e-13,5.6944315929285935e-11,1.016081516270476,0.01628597656967095,0.024836489597557077,0.022719165444283644,1.0160319665096489,0.024836489597557077,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
212+r3_q0,2000,1.0,-0.002572177069129438,0.0028439949082906075,0.1271815311458483,0.08387747878688856,0.25010062337599237,1.0261197674567537,0.016353758458427566,0.02226431253981973,0.0229450708631456,1.026134763970867,0.02226431253981973,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
213+r3_q1,2000,1.0,-6.316969128573646e-05,1.999480453488795e-06,0.00010946349228313009,2.746091155358954e-05,0.00024405893779260164,1.0160778798396055,0.01628577961447776,0.02477331991766343,0.022719118588416225,1.016029871051555,0.02477331991766343,0.8935,3.290025601442889,0.951,3.9203073035708096,0.9885,5.152157137124221,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
214+r3_q2,2000,1.0,-4.679415610553406e-11,3.690943099029235e-12,1.7152898269742022e-10,2.9558577807620168e-12,2.3243131863637234e-10,1.0160815162683217,0.016285976569559033,0.02483648956215501,0.022719165444254816,1.0160319665083597,0.02483648956215501,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
215+stale_r1_q1,2000,1.0,0.001964340009211199,1.13431819800382e-05,0.0020287529565905624,0.0018991004070443296,0.002890237611323698,1.0161360325833197,0.01628942904590395,0.026800829618160365,0.022719268445579956,1.0160365728676553,0.026800829618160365,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
216+stale_r1_q2,2000,1.0,3.950552482493208e-06,3.4614453181949106e-08,4.242874909154742e-06,3.6695534078035053e-06,6.886333466127325e-06,1.0160816172818137,0.016285983071356286,0.024840440161431658,0.022719165543584663,1.0160319709505254,0.024840440161431658,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
217+stale_r2_q1,2000,1.0,3.956373697204185e-05,4.093363986454909e-06,0.00018724259960190514,0.00010831509956688024,0.0004161712013697638,1.0160866607429409,0.016286009793042545,0.024876053345921207,0.02271925888793567,1.0160361454368088,0.024876053345921207,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
218+stale_r2_q2,2000,1.0,1.0767590494253909e-07,8.99020994910643e-09,4.1612621461317497e-07,1.9516735960678488e-07,9.451441840724328e-07,1.0160815277894317,0.01628597666834563,0.024836597284854108,0.02271916564310554,1.0160319754012344,0.024836597284854108,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
219+stale_r3_q1,2000,1.0,7.32067803041474e-05,5.756525112114867e-06,0.00026758411356796104,0.00014405491475599774,0.0005944685255840909,1.0160902288453797,0.016286118617599054,0.024909696389253312,0.0227193202769658,1.0160388908376976,0.024909696389253312,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
220+stale_r3_q2,2000,1.0,1.720570225671736e-07,1.2438706293539958e-08,5.821440767665037e-07,2.6247937512380304e-07,1.2920057912424452e-06,1.0160815353071777,0.016285976889476483,0.024836661665971732,0.02271916577609137,1.0160319813485414,0.024836661665971732,,,,,,,,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
221+central,2000,1.0,0.0,,0.0,,,1.0160815162712764,,0.024836489608949165,,1.0160319665101714,,0.8935,,0.951,,0.9885,,0.95,exp,exponential,1,65536,128,512,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0015978193889604384,1.0
222+aee,2000,1.0,-7.747541244085813,0.005324109424356154,7.751197279452679,7.749417573354847,8.141284251924505,7.777380400185378,0.022179421077995247,-7.713632872448729,0.02222619852974328,0.9939858158782371,7.713632872448729,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
223+cs_q0,2000,1.0,-0.012604399102344389,0.005651650072313312,0.2530004482366572,0.16921525006937088,0.4911641929845174,1.032666584308063,0.016595745311390037,0.021303972534739275,0.023091986217389192,1.0327050183514095,0.021303972534739275,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
224+cs_q1,2000,1.0,-0.0002500292720090584,7.73157052327741e-06,0.00042662539210816747,0.00011206926657791882,0.0009469660887788222,0.9976461706319993,0.016380858764927883,0.0336583423650746,0.022300922950972153,0.9973275935871789,0.0336583423650746,0.9005,3.290139777703811,0.95,3.920443352977049,0.992,5.152335936352211,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
225+cs_q2,2000,1.0,-7.110482727057388e-10,4.57235172821786e-11,2.164435046702149e-09,4.902744876744691e-11,3.5194091196899534e-09,0.9976478166938052,0.01638089429924974,0.03390837092603539,0.022300770310591342,0.9973207673018268,0.03390837092603539,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
226+csl1,2000,1.0,-1.0516032489249482e-15,7.854360606396216e-16,3.513272790851816e-14,0.0,5.684341886080802e-14,0.9976478166744256,0.016380894299787514,0.03390837163708261,0.022300770309616795,0.9973207672582437,0.03390837163708261,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
227+csl2,2000,1.0,-4.831690603168682e-16,8.21664387201868e-16,3.6739938083335066e-14,0.0,8.526512829121202e-14,0.9976478166744247,0.01638089429978752,0.03390837163708318,0.022300770309616778,0.9973207672582429,0.03390837163708318,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
228+r1_q0,2000,1.0,8.246147341947166,0.005889393169613212,8.25035036855787,8.243742548599855,8.681415343844069,8.348362053543482,0.023703576116189777,8.28005571358425,0.02383688899859543,1.0660180834595254,8.28005571358425,0.0,3.396109438839225,0.0,4.046713992428575,0.0,5.318283686332641,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
229+r1_q1,2000,1.0,-0.2658514638955504,0.00037745309429056763,0.26638656133774435,0.26537996770598227,0.2942962744177905,1.0225703265654584,0.016819773295053155,-0.23194309225846677,0.022274970808626147,0.9961669784982304,0.23194309225846677,0.8905,3.2867266879923727,0.945,3.9163764057418584,0.989,5.1469910616774595,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
230+r1_q2,2000,1.0,-0.00027715165109545127,7.874489330106719e-07,0.0002793788991196578,0.0002751318278342296,0.0003386050360347781,0.997636852469714,0.016380880145134877,0.03363121998598821,0.022300734889511425,0.9973191832229762,0.03363121998598821,0.9005,3.290139429169877,0.95,3.920442937673252,0.992,5.152335390550502,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
231+r2_q0,2000,1.0,-0.5492831344610026,0.008605677585775549,0.6706364719706445,0.5503522952567721,1.1807650230182503,1.199145038129016,0.01909673661912402,-0.5153747628239189,0.024216978944356583,1.0830162225852484,0.5153747628239189,0.828,3.283084472278917,0.894,3.912036438035717,0.9675,5.141287377282179,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
232+r2_q1,2000,1.0,-0.0017568777669828535,4.079449992634944e-05,0.0025324568595291542,0.001184364560245399,0.005446536874497099,0.9976584791768662,0.01638111490894822,0.03215149387010081,0.022302310592999156,0.9973896508251953,0.03215149387010081,0.9,3.2901204140693414,0.95,3.9204202797834533,0.992,5.152305613035731,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
233+r2_q2,2000,1.0,-2.5055177559352158e-08,1.1416668425676119e-09,5.686180509083269e-08,5.4729412113374565e-09,1.1606554295440219e-07,0.9976478174636604,0.016380894287527373,0.0339083465819061,0.022300770346336988,0.9973207689004207,0.0339083465819061,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
234+r3_q0,2000,1.0,0.08690918647392715,0.012594961790261662,0.5697900478486476,0.39011161352590307,1.121665874076723,1.1763141950023197,0.01952480810222822,0.12081755811101082,0.026170623842089933,1.1703858784897962,0.12081755811101082,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
235+r3_q1,2000,1.0,-0.0012677576382980362,3.846872201335092e-05,0.002136683114916813,0.0005948162450124528,0.00490915960540832,0.9975350846382403,0.016375213303222225,0.03264061399878562,0.022299193813305522,0.9972502641998781,0.03264061399878562,0.901,3.2901266994679164,0.95,3.9204277692977993,0.992,5.152315455926046,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
236+r3_q2,2000,1.0,-1.7823054406562733e-08,1.126614336962344e-09,5.3431374088762214e-08,1.3807834875478875e-09,9.472160513723794e-08,0.9976478139550934,0.01638089413036554,0.033908353814029256,0.022300770262317082,0.9973207651429363,0.033908353814029256,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
237+stale_r1_q1,2000,1.0,0.49948955634448544,0.0006859681898811505,0.5004302659311395,0.49898040074347705,0.5510494898079372,1.1332692498451442,0.017746042902217853,0.533397927981569,0.022363876967808775,1.000142982809246,0.533397927981569,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
238+stale_r1_q2,2000,1.0,0.016088423987661655,3.352496220005895e-05,0.01615809730954444,0.016044909072888913,0.01864647962717072,0.9984036242924484,0.01638412739459696,0.049996795624745315,0.022302550540108053,0.9974003815861251,0.049996795624745315,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
239+stale_r2_q1,2000,1.0,-0.01468685432465371,0.0002195428699926496,0.017665039892710507,0.015441798490741121,0.02924951174793335,0.9976856578553036,0.016396639946491095,0.019221517312429954,0.022310367070503326,0.9977499474523657,0.019221517312429954,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
240+stale_r2_q2,2000,1.0,-0.0004378142611703737,6.509194112434971e-06,0.0005257168188891079,0.0004639430067641115,0.0008621106064424566,0.9976442577392189,0.016381330735794248,0.033470557375913285,0.022301021527613457,0.997332002068598,0.033470557375913285,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
241+stale_r3_q1,2000,1.0,0.004080999434373467,0.0003919436757927458,0.01799279373877833,0.011775887543549857,0.03504911059577296,0.9988876629468367,0.016409944251769316,0.037989371071457126,0.022325229973802863,0.998414636694781,0.037989371071457126,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
242+stale_r3_q2,2000,1.0,0.00013174181220372815,1.1999827281936896e-05,0.0005524523679201314,0.00035401807832613486,0.0010849526064106382,0.9976807572101871,0.016381706506294374,0.03404011344928739,0.022301407093973047,0.9973492451203956,0.03404011344928739,,,,,,,,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
243+central,2000,1.0,0.0,,0.0,,,0.9976478166744251,,0.03390837163708366,,0.9973207672582434,,0.9005,,0.95,,0.992,,0.9505,exp,exponential,1,65536,2048,32,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.013058463943889315,1.0
244+aee,2000,1.0,-0.9917692990113915,0.0019237172245302081,0.9954918471255781,0.987271030094476,1.1426297301336703,1.413282173119775,0.018895864799963972,-1.0112820954042434,0.02208124323578492,0.98750321805845,1.0112820954042434,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
245+cs_q0,2000,1.0,-0.004284982242620956,0.0019345171136072319,0.08659868152596348,0.05832827843394739,0.17100045690298057,0.9958088233355444,0.01564692709119652,-0.02379777863547274,0.02226617008709947,0.9957733982665365,0.02379777863547274,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
246+cs_q1,2000,1.0,-2.929761702253586e-05,8.99693104831674e-07,4.976380493169324e-05,1.3315794063828434e-05,0.00011468583804514762,0.9897964528408988,0.015600125162527524,-0.01954209400987432,0.02213374151755302,0.9898510125931581,0.01954209400987432,0.91,3.2894561298075087,0.9505,3.919628736264106,0.9905,5.151265348516459,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
247+cs_q2,2000,1.0,-9.677123102846963e-12,6.252566348864671e-13,2.958289175566315e-11,6.963318810448982e-13,5.155982307769591e-11,0.9897955844264016,0.015600163023708289,-0.019512796402528905,0.022133735020919216,0.9898507220548619,0.019512796402528905,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
248+csl1,2000,1.0,-1.5631940186722203e-16,8.186486977682865e-16,3.660226264564071e-14,0.0,5.826450433232692e-14,0.9897955844257532,0.01560016302371941,-0.01951279639285194,0.022133735020908978,0.9898507220544042,0.01951279639285194,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
249+csl2,2000,1.0,-8.242295734817163e-16,8.244746743440585e-16,3.687162287139868e-14,0.0,8.526512829121202e-14,0.9897955844257534,0.015600163023719414,-0.019512796392852607,0.022133735020908984,0.9898507220544044,0.019512796392852607,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
250+r1_q0,2000,1.0,0.9995432617627311,0.001946205562457116,1.0033236649266608,0.995175081941639,1.1525473141276477,1.3997560223165948,0.01958636504020661,0.9800304653698793,0.022353488401166535,0.9996783919852293,0.9800304653698793,0.741,3.3023010559770163,0.83,3.9349344098290975,0.95,5.171380413277974,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
251+r1_q1,2000,1.0,-0.003932435600532258,1.530695433239731e-05,0.003991543705303847,0.0038734231837338484,0.005185785777220531,0.9898492337917811,0.015598304038387016,-0.023445231993384042,0.02213302620049667,0.989819022641889,0.023445231993384042,0.91,3.289405972849161,0.951,3.919568970561965,0.9905,5.151186803069636,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
252+r1_q2,2000,1.0,-6.223789539205882e-08,4.897002937888684e-10,6.597672750242261e-08,5.8565490235196194e-08,1.0466073518955452e-07,0.9897955849105303,0.015600162992204526,-0.019512858630747174,0.022133735004305936,0.9898507213118936,0.019512858630747174,0.91,3.2894565054943787,0.9505,3.919629183922623,0.9905,5.151265936839477,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
253+r2_q0,2000,1.0,-0.009042598004791983,0.0028319876004806303,0.12694115157607114,0.08529251934865556,0.24267167059538786,0.9999055811553496,0.015679217153691225,-0.028555394397643766,0.022355038676220487,0.9997477223933184,0.028555394397643766,0.9045,3.289340305121308,0.948,3.919490722637997,0.992,5.1510839678659845,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
254+r2_q1,2000,1.0,-6.295499566583374e-05,1.9625081370213398e-06,0.00010799239055066431,2.8362323348574137e-05,0.0002308576094534941,0.9897980382203257,0.015600126855071157,-0.019575751388517616,0.022133762105065916,0.9898519332947247,0.019575751388517616,0.91,3.2894556972960918,0.9505,3.9196282208949658,0.9905,5.151264671206598,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
255+r2_q2,2000,1.0,-4.556869726002333e-11,3.266076973321558e-12,1.5297175066822835e-10,3.126388037344441e-12,2.089421968776149e-10,0.9897955844291548,0.015600163023702034,-0.01951279643842048,0.02213373502096498,0.9898507220569086,0.01951279643842048,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
256+r3_q0,2000,1.0,0.0011518043719531334,0.004038899812789084,0.18058360207147517,0.12294181355611045,0.35516588639378455,1.0059719953738686,0.01574124053037479,-0.01836099202089865,0.022496095258403914,1.006055964522037,0.01836099202089865,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
257+r3_q1,2000,1.0,-0.00012741155256156843,4.1313614920170055e-06,0.00022439458802255807,5.8784132761502406e-05,0.0004919163737540088,0.9898026012991091,0.015600182190043943,-0.01964020794541335,0.02213383561935853,0.9898552209538367,0.01964020794541335,0.91,3.289454869002331,0.9505,3.919627233922075,0.9905,5.1512633741043485,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
258+r3_q2,2000,1.0,-1.9677193563438776e-10,1.9671395361813323e-11,9.012545821350172e-10,1.34718902700115e-11,9.429598435417571e-10,0.9897955844464882,0.015600163023882646,-0.019512796589623717,0.022133735021286054,0.9898507220712675,0.019512796589623717,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
259+stale_r1_q1,2000,1.0,0.007803069429443525,3.024624212745455e-05,0.007919384320211924,0.007687104701346925,0.010295504454141735,0.9897369561676597,0.015604678684141882,-0.011709726963408258,0.02213517665102131,0.9899151937129959,0.011709726963408258,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
260+stale_r1_q2,2000,1.0,3.0926837785898444e-05,1.8077707498350976e-07,3.1965564546299245e-05,2.9836444909392412e-05,4.636258398278414e-05,0.9897952891392198,0.015600179231673127,-0.019481869555065884,0.022133742043514468,0.9898510361148691,0.019481869555065884,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
261+stale_r2_q1,2000,1.0,5.744805952589616e-05,1.1204328097413663e-05,0.000504230779310588,0.00031681590340326693,0.0010241170377412346,0.9897998852062968,0.015600012196462537,-0.019455348333325885,0.022133856529991756,0.9898561561057836,0.019455348333325885,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
262+stale_r2_q2,2000,1.0,3.3950663261350656e-07,4.638553935561919e-08,2.1015112795202037e-06,1.1951601663895417e-06,4.519013435810848e-06,0.9897955965338957,0.01560016259480145,-0.01951245688621917,0.022133735441501372,0.9898507408638678,0.01951245688621917,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
263+stale_r3_q1,2000,1.0,0.00016177058268920065,1.6289605851369455e-05,0.0007460609142360635,0.0004440105468574984,0.0015690492801709865,0.989786391883186,0.01559971100443514,-0.019351025810162584,0.022133600425880137,0.9898447027817256,0.019351025810162584,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
264+stale_r3_q2,2000,1.0,7.510130888590539e-07,6.716092455632034e-08,3.0952689130946056e-06,1.6772451942870248e-06,6.599861283973496e-06,0.9897955408947787,0.015600161356135036,-0.019512045379762925,0.02213373437829476,0.9898506933158225,0.019512045379762925,,,,,,,,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
265+central,2000,1.0,0.0,,0.0,,,0.9897955844257518,,-0.01951279639285178,,0.9898507220544026,,0.91,,0.9505,,0.9905,,0.9505,exp,exponential,1,65536,256,256,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0023858476493623542,1.0
266+aee,2000,1.0,-15.058775235448982,0.007217164379960935,15.062232053307524,15.049570149474505,15.59526249845847,15.071415402250125,0.022108983440414,-15.039006636785894,0.022094453724605858,0.9880940090788424,15.039006636785894,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
267+cs_q0,2000,1.0,0.000590165887960012,0.008307408469108754,0.371426178675578,0.2496341695667894,0.7271760929960308,1.0208644448409663,0.016103243360968633,0.02035876455104831,0.022828390995445234,1.0209166816551927,0.02035876455104831,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
268+cs_q1,2000,1.0,-0.0005388207168121824,1.724935684312303e-05,0.0009408032990786561,0.0002431541833658457,0.0020597732099275835,0.9754490968104879,0.01522806576932054,0.019229777946276116,0.02181292001989105,0.9755034390448492,0.019229777946276116,0.8995,3.2899543646060305,0.951,3.9202224196441633,0.992,5.152045580734726,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
269+cs_q2,2000,1.0,-3.456364112253141e-09,2.635662032570384e-10,1.22805241228391e-08,2.3094059997674776e-10,1.6521767065569283e-08,0.9754684311640729,0.015227184578554015,0.019768595206724186,0.02181311159232664,0.9755120064246209,0.019768595206724186,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
270+csl1,2000,1.0,8.668621376273222e-16,8.885016915816385e-16,3.973452562440597e-14,0.0,1.1368683772161603e-13,0.9754684314528818,0.015227184564368071,0.019768598663089165,0.021813111597220557,0.9755120066434837,0.019768598663089165,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
271+csl2,2000,1.0,-5.400124791776761e-16,8.515935212049021e-16,3.807872703582195e-14,0.0,8.526512829121202e-14,0.9754684314528821,0.01522718456436804,0.019768598663087757,0.021813111597220568,0.975512006643484,0.019768598663087757,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
272+r1_q0,2000,1.0,17.068614083524693,0.008885473267503687,17.073236689363775,17.05937433933947,17.72087881867193,17.12302842349717,0.024319786440515287,17.08838268218778,0.02435028372847515,1.0889777937655494,17.08838268218778,0.0,3.509300130727366,0.0,4.181589020729482,0.0,5.495539520090211,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
273+r1_q1,2000,1.0,-1.1385626311581407,0.001180187637874285,1.13978469806717,1.1372091796433352,1.2258078512098352,1.4845514034893106,0.019494813655108693,-1.1187940324950523,0.021825090114522425,0.9760477022226163,1.1187940324950523,0.7025,3.2753302818547683,0.801,3.9027967502534286,0.9265,5.129144369179483,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
274+r1_q2,2000,1.0,-0.005074295982137258,1.0536590325657e-05,0.0050961169694170175,0.005053794178181192,0.005867991854672993,0.9753901056129183,0.015228880748594352,0.01469430268095104,0.02181336469318223,0.9755233254389861,0.01469430268095104,0.8995,3.2898960818486866,0.95,3.920152971455314,0.992,5.151954310343368,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
275+r2_q0,2000,1.0,-2.4284215112241103,0.013976902950460038,2.507537300726165,2.4456869947437667,3.436841660077897,2.6620220278203113,0.024514673794367028,-2.4086529125610223,0.02535148043973325,1.1337526718699962,2.4086529125610223,0.2515,3.2587550548459245,0.3415,3.883046149081019,0.552,5.103187679330134,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
276+r2_q1,2000,1.0,-0.02455806216488264,0.00027052316885373313,0.027375003274569383,0.023408878407437328,0.046152923649412966,0.9749508966710996,0.015221331844504598,-0.004789463501794345,0.021805753860627893,0.9751829586598488,0.004789463501794345,0.9005,3.2896457072903083,0.9515,3.919854631767803,0.993,5.151562225531828,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
277+r2_q2,2000,1.0,-2.9269152781523643e-06,6.543717215568456e-08,4.1384294148199984e-06,2.1403114232043663e-06,8.33451296102794e-06,0.9754683284413594,0.015227181231472603,0.019765671747810146,0.02181311061961867,0.975511962923798,0.019765671747810146,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
278+r3_q0,2000,1.0,0.8336643442805848,0.021297166459419828,1.2655754691151575,0.9139314630041468,2.420908550184393,1.6064330635766038,0.02320881656964078,0.8534329429436732,0.030440154423490847,1.3613250907303291,0.8534329429436732,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
279+r3_q1,2000,1.0,-0.006256836876705051,0.00017586331547001476,0.010048526819996052,0.0032687534231854443,0.022889401074043293,0.9755908868336994,0.015238802531071969,0.013511761786383246,0.021818238314418707,0.9757412804066132,0.013511761786383246,0.9,3.2898808857027526,0.9505,3.9201348641305978,0.9925,5.15193051328486,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
280+r3_q2,2000,1.0,-3.9450309506605665e-07,2.2686654455165256e-08,1.088341209576514e-06,4.171155865151377e-08,2.039863389313723e-06,0.97546845185492,0.01522718602949374,0.01976820415999323,0.021813112232482897,0.9755120350532791,0.01976820415999323,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
281+stale_r1_q1,2000,1.0,2.0089018944175914,0.0019449654241400214,2.0107831358717645,2.006967660095256,2.15376158553556,2.253527742792045,0.02070524623095697,2.02867049308068,0.021947266350703782,0.981511589609348,2.02867049308068,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
282+stale_r1_q2,2000,1.0,0.13301024623787605,0.00019665477167386372,0.13330053686915666,0.13276247240273165,0.14820899078965935,0.987172353577375,0.015338978603272992,0.15277884490096436,0.02181334112497734,0.9755222714368215,0.15277884490096436,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
283+stale_r2_q1,2000,1.0,-0.11903606047286233,0.0005367501862996372,0.12143103852443096,0.12175904933748427,0.15508438748411207,0.9794083698488241,0.015341343491082978,-0.09926746180977403,0.021792907754406798,0.9746084633247178,0.09926746180977403,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
284+stale_r2_q2,2000,1.0,-0.006933659483332164,2.9908730205275286e-05,0.007061430703734438,0.007079715217699345,0.008932415787572267,0.9752905855394775,0.015227145359250065,0.012834939179756134,0.021811725538677166,0.9754500202210072,0.012834939179756134,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
285+stale_r3_q1,2000,1.0,0.05531652049633028,0.0013927965653942039,0.08329310957513915,0.05576931621818915,0.16459673609094522,0.9796939763399406,0.01518155868888081,0.07508511915941858,0.021847652414774644,0.9770567189644708,0.07508511915941858,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
286+stale_r3_q2,2000,1.0,0.0033086492317631693,8.340685786349359e-05,0.004985339598485784,0.0032903701020075005,0.00995317775567912,0.9755151690794529,0.015221373119690492,0.023077247894851466,0.02181253163057704,0.9754860697466919,0.023077247894851466,,,,,,,,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
287+central,2000,1.0,0.0,,0.0,,,0.9754684314528815,,0.019768598663088298,,0.9755120066434834,,0.8995,,0.951,,0.992,,0.95,exp,exponential,1,65536,4096,16,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.02584258761536325,1.0
288+aee,2000,1.0,-1.981533746961577,0.002724560926430604,1.9852745481668297,1.980501244920049,2.184192073417678,2.1975024044506033,0.020941323485566418,-1.9597100045362736,0.022237896030273152,0.9945089440052699,1.9597100045362736,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
289+cs_q0,2000,1.0,-0.002991667510887794,0.0027753218962466787,0.12412119447717394,0.08497866304745116,0.2395231422222551,1.0010947040859823,0.015663456053565703,0.018832074914415884,0.02238679441174475,1.0011678820594736,0.018832074914415884,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
290+cs_q1,2000,1.0,-6.016640361903569e-05,1.9178595350318537e-06,0.00010475060062585702,2.8143393535629002e-05,0.00022343177130750285,0.9941485708129834,0.015469074768156092,0.021763576021684643,0.022230068640919955,0.9941588925116677,0.021763576021684643,0.908,3.2899869249728613,0.9485,3.9202612177142564,0.9905,5.152096570042008,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
291+cs_q2,2000,1.0,-4.284846966129408e-11,3.104894398332775e-12,1.4528279124757526e-10,3.069544618483633e-12,1.9442154552962148e-10,0.9941520573099134,0.015469156090217793,0.021823742382455207,0.022230117132278817,0.9941610611111624,0.021823742382455207,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
292+csl1,2000,1.0,-1.0089706847793422e-15,8.284061207775634e-16,3.705192528095219e-14,0.0,8.526512829121202e-14,0.994152057313569,0.015469156090331294,0.021823742425302668,0.022230117132339557,0.9941610611138788,0.021823742425302668,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
293+csl2,2000,1.0,-8.526512829121202e-16,8.291034462770635e-16,3.707916734424642e-14,0.0,8.526512829121202e-14,0.9941520573135681,0.015469156090331332,0.021823742425302824,0.022230117132339536,0.9941610611138778,0.021823742425302824,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
294+r1_q0,2000,1.0,2.0129046480396227,0.002801638094843038,2.016798360013329,2.0126887679329855,2.2220018031506044,2.2710778587854,0.021455006643449022,2.034728390464926,0.022563068383490814,1.0090510937292352,2.034728390464926,0.357,3.3158543661913193,0.4815,3.951084175045937,0.709,5.192604802511192,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
295+r1_q1,2000,1.0,-0.01588701861346236,4.407965858269915e-05,0.0160087928967094,0.015812410985432734,0.019262862115506606,0.993879708364414,0.015460015462553054,0.005936723811841319,0.022228987357590747,0.9941105360511268,0.005936723811841319,0.9085,3.2897835432911378,0.9485,3.920018873493007,0.991,5.151778075747436,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
296+r1_q2,2000,1.0,-1.0010016152648404e-06,5.563517000025258e-09,1.0314449688958448e-06,9.761524495388585e-07,1.4467698676412509e-06,0.994152032130461,0.015469155288799247,0.021822741423688414,0.022230117060537548,0.9941610579027953,0.021822741423688414,0.908,3.289987685273064,0.9485,3.920262123667826,0.9905,5.152097760666821,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
297+r2_q0,2000,1.0,-0.03689949953690227,0.003942605300313473,0.18009525823196892,0.12089619595074907,0.3470116999338557,1.005091540464115,0.01582575059904948,-0.015075757111598592,0.022477621868704355,1.0052298094191758,0.015075757111598592,0.8965,3.2895135241078717,0.9485,3.9196971257911657,0.989,5.151355227590384,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
298+r2_q1,2000,1.0,-0.00012668632192371377,4.054995194698271e-06,0.00022117629446796952,5.7172743737510245e-05,0.0004725831483256115,0.9941494629728733,0.015468969764802913,0.021697056103379964,0.022230121128449624,0.9941612398253539,0.021697056103379964,0.908,3.2899860701640407,0.9485,3.920260199146722,0.9905,5.152095231417357,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
299+r2_q2,2000,1.0,-1.9106506954358338e-10,1.48910589090611e-11,6.926553169004893e-10,1.2803980098397005e-11,8.73369288001413e-10,0.9941520573070829,0.015469156089711512,0.021823742234238608,0.02223011713228828,0.9941610611115858,0.021823742234238608,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
300+r3_q0,2000,1.0,-0.005875875898571465,0.00562020475984303,0.2513490447587922,0.16543316853514511,0.4996039376343262,1.0185890551395436,0.01604379647451572,0.01594786652673221,0.022779247385666314,1.018718912612685,0.01594786652673221,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
301+r3_q1,2000,1.0,-0.0002467857707896144,7.916306988298389e-06,0.0004314816119069907,0.00010704595156596497,0.0009732004361751477,0.9941529707639638,0.015468689902780197,0.021576956654514062,0.022230258079863147,0.9941673644787589,0.021576956654514062,0.908,3.289984526835807,0.9485,3.920258360157706,0.9905,5.152092814576112,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
302+r3_q2,2000,1.0,-7.272702333693815e-10,5.153559121016081e-11,2.416216132291435e-09,4.4849457481177524e-11,3.6975833950236846e-09,0.9941520573182692,0.015469156087841659,0.021823741698033444,0.02223011713280187,0.9941610611345542,0.021823741698033444,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
303+stale_r1_q1,2000,1.0,0.03127722268336741,8.59781056524051e-05,0.03151256472985742,0.031137847429803855,0.03787131007364053,0.9954412994187326,0.015499444768497322,0.05310096510867109,0.022232610699955125,0.9942725768477769,0.05310096510867109,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
304+stale_r1_q2,2000,1.0,0.0002477351113592192,1.0235264232636164e-06,0.0002519262798361125,0.00024487652738969246,0.00032864803240499895,0.9941583312109472,0.015469343173195317,0.022071477536662897,0.02223013513570752,0.9941618662489705,0.022071477536662897,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
305+stale_r2_q1,2000,1.0,-0.00010350770471455917,2.9590301645763983e-05,0.0013270305806417555,0.0009201508752028076,0.0025088529295572925,0.9941158563018841,0.015470079140815643,0.021720234720589118,0.022229357969926457,0.9941271103386458,0.021720234720589118,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
306+stale_r2_q2,2000,1.0,-3.8111107299698687e-07,2.3510579145368855e-07,1.05185282842666e-05,7.097371764075433e-06,2.006796180324954e-05,0.9941517800130091,0.015469163984078077,0.02182336131423068,0.022230111115828965,0.9941607920473453,0.02182336131423068,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
307+stale_r3_q1,2000,1.0,0.00025364083330457277,4.395801923558042e-05,0.00198167007221072,0.0012647848922711091,0.004011616458581102,0.9940987075411409,0.015470029396485745,0.022077383258608252,0.022228798313875385,0.9941020817591614,0.022077383258608252,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
308+stale_r3_q2,2000,1.0,2.3960743442188457e-06,3.504057007266216e-07,1.5848870568950694e-05,9.629721972714833e-06,3.281189085839741e-05,0.9941516271540844,0.015469163799842034,0.021826138499647898,0.022230106332166377,0.9941605781154509,0.021826138499647898,,,,,,,,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
309+central,2000,1.0,0.0,,0.0,,,0.9941520573135673,,0.021823742425303678,,0.9941610611138769,,0.908,,0.9485,,0.9905,,0.948,exp,exponential,1,65536,512,128,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.003943674291018346,1.0
310+aee,2000,1.0,-0.24512325047988934,0.0009776994315066128,0.2489904503919476,0.2418390589132713,0.3197542191882022,1.0655561002134555,0.016678419944383113,-0.2573079551564021,0.023127227325807107,1.0342810486319074,0.2573079551564021,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
311+cs_q0,2000,1.0,-0.004626998015887637,0.0009799468256014687,0.04405723977816601,0.03073297943794273,0.08225381694710734,1.0376557404806284,0.01645978237611667,-0.016811702692400374,0.02320544435097623,1.0377790203374269,0.016811702692400374,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
312+cs_q1,2000,1.0,-7.58095148366067e-06,2.429805156795392e-07,1.324729586996556e-05,3.687220612391684e-06,2.6363469049783814e-05,1.0353649157260458,0.016397780299496435,-0.012192285627996399,0.023155647701025565,1.0355520464505978,0.012192285627996399,0.8915,3.2895505779244947,0.944,3.9197412781369314,0.988,5.1514132536086885,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
313+cs_q2,2000,1.0,-6.862137524876743e-13,6.764559998091809e-14,3.1013171041451413e-12,5.684341886080802e-14,2.7284841053187847e-12,1.035365221617434,0.016397797777811734,-0.01218470467719895,0.023155656539349253,1.0355524417124493,0.01218470467719895,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
314+csl1,2000,1.0,-9.663381206337363e-16,7.813643817568466e-16,3.494830286613114e-14,0.0,5.684341886080802e-14,1.0353652216174976,0.01639779777781441,-0.012184704676513704,0.023155656539350863,1.0355524417125213,0.012184704676513704,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
315+csl2,2000,1.0,-8.952838470577262e-16,8.35514132485348e-16,3.7366712197712917e-14,0.0,8.526512829121202e-14,1.035365221617498,0.016397797777814454,-0.012184704676513633,0.023155656539350866,1.0355524417125215,0.012184704676513633,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
316+r1_q0,2000,1.0,0.24560094753377426,0.0009818377462712956,0.24949323065793574,0.24189483297480763,0.3204976051176658,1.0644413857744879,0.01703280611318118,0.23341624285726154,0.023228128069794372,1.038793467082624,0.23341624285726154,0.88,3.2927067504158165,0.9385,3.923502089622299,0.986,5.156355797709266,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
317+r1_q1,2000,1.0,-0.00024314751635392894,1.9638028428251093e-06,0.0002585147991865352,0.00022885722044918566,0.0004001175312168925,1.0353641837776437,0.016397552102745468,-0.012427852192866667,0.02315556868120894,1.035548512576967,0.012427852192866667,0.8915,3.2895475507954437,0.944,3.91973767109019,0.988,5.151408513145716,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
318+r1_q2,2000,1.0,-2.6103261063781247e-10,4.510967260473312e-12,3.298716814776481e-10,2.04295247385744e-10,6.218328962859231e-10,1.0353652216121931,0.01639779777737418,-0.012184704937545348,0.023155656539163495,1.035552441704142,0.012184704937545348,0.8915,3.2895506753395436,0.944,3.9197413942141215,0.988,5.151413406159976,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
319+r2_q0,2000,1.0,-0.003419733393961096,0.001366208990097592,0.06117909821767656,0.04137295419693032,0.12024199156358718,1.0401423651997328,0.016507984438920917,-0.015604438070473833,0.02326148897066707,1.0402854119254636,0.015604438070473833,0.8885,3.289506730336052,0.945,3.9196890305127368,0.9875,5.151344588591115,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
320+r2_q1,2000,1.0,-1.4618884185509273e-05,4.726156968699895e-07,2.5694738821171483e-05,6.707408559236683e-06,5.641503267383996e-05,1.035364789521478,0.016397782168929283,-0.012199323560698246,0.023155643023778896,1.035551837277768,0.012199323560698246,0.8915,3.2895504874841124,0.944,3.919741170370569,0.988,5.15141311197968,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
321+r2_q2,2000,1.0,-2.577863256192359e-12,1.8656786897113986e-13,8.730733695558414e-12,1.7053025658242404e-13,1.2505552149377763e-11,1.035365221617226,0.01639779777781241,-0.0121847046790906,0.023155656539344097,1.0355524417122188,0.0121847046790906,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
322+r3_q0,2000,1.0,-0.0020203144580395785,0.0019450703817569144,0.08698790692789059,0.05710220569608282,0.16955162449877573,1.043126858987341,0.016564198060697033,-0.014205019134552316,0.023328695735262302,1.043290989809119,0.014205019134552316,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
323+r3_q1,2000,1.0,-2.955924349495831e-05,9.515065590834795e-07,5.180321394682016e-05,1.2704723104661753e-05,0.00011296036203702895,1.0353654840608222,0.01639781151692473,-0.012214263920007696,0.023155654619144695,1.0355523558382909,0.012214263920007696,0.8915,3.2895502954942355,0.944,3.9197409416005202,0.988,5.151412811324873,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
324+r3_q2,2000,1.0,-1.0483702794772399e-11,7.817139305703026e-13,3.648904337078755e-11,6.252776074688882e-13,4.981188794772605e-11,1.0353652216173934,0.016397797777843323,-0.01218470468699644,0.023155656539345766,1.0355524417122934,0.01218470468699644,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
325+stale_r1_q1,2000,1.0,0.0004852993851184948,3.913715010431649e-06,0.0005158822602076585,0.0004567586315573635,0.0007995648070476591,1.03536736780738,0.016398289202039177,-0.011699405291394243,0.023155829748548788,1.0355601878633391,0.011699405291394243,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
326+stale_r1_q2,2000,1.0,4.953224791819366e-07,6.145725129136026e-09,5.664331056456404e-07,4.3114113168485346e-07,9.99250511313221e-07,1.0353652272688902,0.016397798425856206,-0.012184209354033556,0.0231556567961442,1.0355524531966684,0.012184209354033556,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
327+stale_r2_q1,2000,1.0,1.871981071388973e-05,1.4935633147016434e-06,6.935173632890499e-05,3.029970045531627e-05,0.0001557579988400448,1.0353690764910177,0.016397912614855716,-0.012165984865798847,0.023155747688393874,1.0355565180216464,0.012165984865798847,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
328+stale_r2_q2,2000,1.0,2.563739349170646e-08,1.8201568711317774e-09,8.532235958451633e-08,2.610430271943187e-08,1.8435679862704994e-07,1.0353652263717779,0.01639779793632089,-0.012184679039119246,0.023155656652442427,1.0355524467701298,0.012184679039119246,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
329+stale_r3_q1,2000,1.0,3.4929014754382595e-05,2.145422529892977e-06,0.00010208383269364875,3.914376462432756e-05,0.00023099714491365807,1.0353695309839692,0.016397905776296504,-0.012149775661758355,0.023155762111840693,1.0355571630577975,0.012149775661758355,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
330+stale_r3_q2,2000,1.0,4.126579838725775e-08,2.521769703850869e-09,1.2006311537111947e-07,3.5105827578263415e-08,2.6586856733956664e-07,1.0353652270990346,0.016397797934285797,-0.01218466341071435,0.023155656672823516,1.0355524476815998,0.01218466341071435,,,,,,,,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
331+central,2000,1.0,0.0,,0.0,,,1.035365221617497,,-0.012184704676512738,,1.0355524417125204,,0.8915,,0.944,,0.988,,0.944,exp,exponential,1,65536,64,1024,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0012015559545251984,1.0
332+aee,2000,1.0,-28.433515513923556,0.009856380114569898,28.436930280714698,28.42469048660014,29.156268992203465,28.491328787277983,0.0222694169841621,-28.473896615817175,0.022288162089994703,0.9967569105352388,28.473896615817175,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
333+cs_q0,2000,1.0,-0.015396333645676222,0.012963022831122759,0.5797835190562323,0.39560173702642487,1.1029360984189993,1.1579071530402356,0.018047092122331698,-0.05577743553929302,0.025868001529394658,1.1568521972358996,0.05577743553929302,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
334+cs_q1,2000,1.0,-0.0013132424859637552,4.08541086036958e-05,0.0022496784544364565,0.0006121195955728354,0.004729956870495754,0.9996168661312417,0.015110632075895008,-0.041694344379580556,0.02233824587931835,0.9989967256852079,0.041694344379580556,0.8995,3.2891714641093377,0.953,3.9192895361633155,0.993,5.1508195640192564,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
335+cs_q2,2000,1.0,-1.9773433635350556e-08,1.5198785785559e-09,7.077245533358487e-08,1.4683081417388166e-09,8.742463109001618e-08,0.9995731714174939,0.015110087056195725,-0.040381121667050435,0.02233847462875741,0.9990069556711191,0.040381121667050435,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
336+csl1,2000,1.0,8.384404281969182e-16,8.377171689397101e-16,3.7463866892903944e-14,0.0,8.526512829121202e-14,0.9995731704712406,0.015110087055345079,-0.04038110189361596,0.022338474625457055,0.9990069555235226,0.04038110189361596,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
337+csl2,2000,1.0,9.521272659185343e-16,8.590908666669312e-16,3.842190447641023e-14,0.0,8.526512829121202e-14,0.9995731704712406,0.015110087055345115,-0.04038110189361585,0.022338474625457055,0.9990069555235226,0.04038110189361585,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
338+r1_q0,2000,1.0,36.54806403270586,0.015166029235872684,36.554353658844676,36.54246506168346,37.6767130365535,36.53160319237025,0.029526591059124644,36.50768293081224,0.029563430319307547,1.322116796841,36.50768293081224,0.0,3.758846274843065,0.0,4.478941591762869,0.0,5.886327040674752,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
339+r1_q1,2000,1.0,-5.220353573038312,0.004258260183940047,5.223824159975366,5.2184161803552485,5.53289344725331,5.354154643013329,0.022049120390407972,-5.260734674931928,0.022272614245024643,0.9960615897701052,5.260734674931928,0.0,3.2221046092896906,0.0,3.839374449587187,0.004,5.045793337301755,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
340+r1_q2,2000,1.0,-0.10661014966887726,0.00017321348677553193,0.1068910652651113,0.10638393144125757,0.11952403434750494,1.0091041297805006,0.015307834734273641,-0.14699125156249407,0.02232916599828946,0.9985906610610438,0.14699125156249407,0.8965,3.2878183547367876,0.9505,3.917677206899551,0.992,5.1487006041825785,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
341+r2_q0,2000,1.0,-12.179351960137424,0.026685349091132682,12.237651644546778,12.191473594250382,14.146730308521507,12.314066614343162,0.03407663403652441,-12.219733062031041,0.03402585953582535,1.5216826982992986,12.219733062031041,0.0,3.1326785644696167,0.0,3.7328167448435416,0.0,4.9057527750451975,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
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343+r2_q2,2000,1.0,-0.001388452870922862,1.2278626865966233e-05,0.0014930438592095944,0.001311025679370914,0.0023803590464183343,0.9996221660589157,0.015111375007141459,-0.04176955476453966,0.02233829423389766,0.9989988881677351,0.04176955476453966,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
344+r3_q0,2000,1.0,12.179303627928714,0.07575725928680523,12.641519780795319,11.95467389370296,16.689324787689223,12.650802425503624,0.1536721764196968,12.138922526035094,0.07967342646997039,3.563103951743698,12.138922526035094,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
345+r3_q1,2000,1.0,-0.6242609825794331,0.014576883563644468,0.9024745745408609,0.5579301388422664,1.0875947272261655,1.3487717468163805,0.08226191537681019,-0.6646420844730498,0.02625000178239047,1.1739357678983147,0.6646420844730498,0.814,3.2811663246586047,0.8845,3.9097508241724266,0.9615,5.138283571491818,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
346+r3_q2,2000,1.0,-0.003175376077928604,0.0009707851318186394,0.04351997396350769,0.0012162171646110664,0.004626412139097623,0.9989556285312466,0.015118062349153532,-0.0435564779715454,0.022321664786926536,0.9982551966906219,0.0435564779715454,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
347+stale_r1_q1,2000,1.0,8.120993805946963,0.005797138386453724,8.125128947675774,8.118844034402528,8.547464983044312,8.150032465006868,0.0235618442135969,8.080612704053346,0.023741221044148872,1.0617396824713083,8.080612704053346,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
348+stale_r1_q2,2000,1.0,1.124689117051934,0.0012216794341347596,1.1260147062956125,1.1232003423297527,1.2152186205738615,1.4778640544796307,0.01926032305687116,1.0843080151583169,0.022459549451714047,1.0044215863610149,1.0843080151583169,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
349+stale_r2_q1,2000,1.0,-0.8054816941636134,0.0005882168803204083,0.8059109205304109,0.8068325671298453,0.8468145199762376,1.3070550779202375,0.018576900252821524,-0.8458627960572302,0.022286832546015333,0.9966974515209,0.8458627960572302,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
350+stale_r2_q2,2000,1.0,-0.08723515857881509,8.059052967194835e-05,0.08730954165715883,0.08712871544122436,0.0933256638579664,1.0066341072388054,0.01526527725911165,-0.12761626047243188,0.022332992169195875,0.9987617726258493,0.12761626047243188,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
351+stale_r3_q1,2000,1.0,1.878088373327514,0.018569669890343483,2.0534206546786296,1.8020412842505635,2.768219566419158,2.2625094128846457,0.07996896067186018,1.8377072714338973,0.029518232958525806,1.3200955094187687,1.8377072714338973,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
352+stale_r3_q2,2000,1.0,0.22323910937194594,0.002998425301154921,0.2603993432635824,0.21073304808587068,0.3341333949900729,1.0287415752352185,0.01740258153576538,0.18285800747832914,0.022642712626290726,1.0126128925475772,0.18285800747832914,,,,,,,,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
353+central,2000,1.0,0.0,,0.0,,,0.9995731704712396,,-0.0403811018936168,,0.9990069555235215,,0.8995,,0.953,,0.993,,0.9535,exp,exponential,1,65536,8192,8,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.048599313654238314,1.0
added results/raw/exp_contam_p1_N1048576_K65536.csv +1001 −0
@@ -0,0 +1,1001 @@
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added results/raw/exp_contam_p1_N1048576_K65536.manifest.json +31 −0
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added results/raw/exp_contam_p1_N262144_K16384.csv +1001 −0
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added results/raw/exp_contam_p1_N262144_K16384.manifest.json +31 −0
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added results/raw/exp_contam_p1_N262144_K4096.csv +1001 −0
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added results/raw/exp_contam_p1_N262144_K4096.manifest.json +31 −0
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added results/raw/exp_p1_N262144_K16384.csv +2001 −0
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added results/raw/exp_p1_N262144_K16384.manifest.json +29 −0
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added results/raw/exp_p1_N262144_K2048.csv +2001 −0
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added results/raw/exp_p1_N262144_K2048.manifest.json +29 −0
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added results/raw/exp_p1_N262144_K32768.csv +2001 −0
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added results/raw/exp_p1_N262144_K32768.manifest.json +29 −0
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added results/raw/exp_p1_N262144_K4096.csv +2001 −0
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added results/raw/exp_p1_N262144_K4096.manifest.json +29 −0
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added results/raw/exp_p1_N262144_K8192.csv +2001 −0
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added results/raw/exp_p1_N262144_K8192.manifest.json +29 −0
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added results/raw/logit_misspec_p3_N262144_K1024.csv +1001 −0
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added results/raw/logit_misspec_p3_N262144_K1024.manifest.json +30 −0
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added results/raw/logit_p3_N262144_K1024.csv +1001 −0
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added results/raw/logit_p3_N262144_K1024.manifest.json +27 −0
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added results/raw/logit_p3_N65536_K64.csv +1001 −0
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added results/raw/logit_p3_N65536_K64.manifest.json +27 −0
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added results/raw/logit_p8_N16384_K64.csv +1001 −0
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added results/raw/logit_p8_N16384_K64.manifest.json +27 −0
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added results/raw/pois_p3_N16384_K16.csv +1001 −0
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added results/raw/pois_p3_N16384_K16.manifest.json +27 −0
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added results/raw/pois_p3_N16384_K32.csv +728 −0
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Diff truncated — file too large.

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