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3a3eea5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | #!/usr/bin/env python3
"""Render paper figures with one color-blind-safe visual system."""
from __future__ import annotations
import csv
from pathlib import Path
import matplotlib.pyplot as plt
ROOT = Path(__file__).resolve().parent.parent
RESULTS = ROOT / "results" / "controlled"
FIGURES = ROOT / "figures"
BLUE = "#0072B2"
GREEN = "#009E73"
ORANGE = "#E69F00"
PURPLE = "#CC79A7"
RED = "#D55E00"
GRAY = "#7A7A7A"
def style() -> None:
plt.rcParams.update({
"font.family": "DejaVu Sans",
"font.size": 8,
"axes.titlesize": 9,
"axes.labelsize": 8,
"xtick.labelsize": 7,
"ytick.labelsize": 7,
"legend.fontsize": 7,
"axes.spines.top": False,
"axes.spines.right": False,
"axes.axisbelow": True,
"pdf.fonttype": 42,
"ps.fonttype": 42,
})
def read(path: Path) -> list[dict[str, str]]:
with path.open(newline="", encoding="utf-8") as handle:
return list(csv.DictReader(handle))
def main_bars() -> None:
rows = read(RESULTS / "main_results.csv")
methods = ["random", "local-risk", "centrality", "risk-x-count",
"risk-x-influence", "toporisk"]
labels = ["Random", "Local risk", "Centrality", "Risk × count",
"Risk × influence", "TopoRisk"]
colors = [GRAY, BLUE, ORANGE, PURPLE, RED, GREEN]
fig, axes = plt.subplots(1, 2, figsize=(7.1, 2.65), sharey=True)
for ax, budget in zip(axes, ["0.1", "0.2"]):
data = {
method: [float(r["terminal_error"]) for r in rows
if r["budget"] == budget and r["method"] == method]
for method in methods
}
means = [sum(data[m]) / len(data[m]) for m in methods]
ax.bar(range(len(methods)), means, color=colors,
edgecolor="#333333", linewidth=.45)
ax.set_title(f"Audit budget: {int(float(budget) * 100)}%")
ax.set_xticks(range(len(methods)), labels, rotation=27, ha="right")
ax.grid(axis="y", color="#D7DCE2", linewidth=.55)
axes[0].set_ylabel("Corrupted-sink fraction ↓")
fig.tight_layout(pad=.55, w_pad=.9)
fig.savefig(FIGURES / "figures_main.pdf", bbox_inches="tight")
fig.savefig(FIGURES / "figures_main.png", dpi=240, bbox_inches="tight")
plt.close(fig)
def robustness() -> None:
rows = read(RESULTS / "robustness.csv")
specs = [
("local-risk", "Local risk", BLUE, "o"),
("risk-x-influence", "Risk × influence", RED, "s"),
("toporisk", "TopoRisk", GREEN, "^"),
]
fig, ax = plt.subplots(figsize=(3.6, 2.65))
for method, label, color, marker in specs:
selected = [r for r in rows if r["method"] == method]
ax.errorbar(
[float(r["noise"]) for r in selected],
[float(r["terminal_error"]) for r in selected],
yerr=[float(r["ci95"]) for r in selected],
label=label, color=color, marker=marker, linewidth=1.4,
markersize=4, capsize=2,
)
ax.set_xlabel("Log-normal parameter noise $\\sigma$")
ax.set_ylabel("Corrupted-sink fraction ↓")
ax.grid(color="#D7DCE2", linewidth=.55)
ax.legend(frameon=False, loc="best")
fig.tight_layout(pad=.55)
fig.savefig(FIGURES / "figures_robustness.pdf", bbox_inches="tight")
fig.savefig(FIGURES / "figures_robustness.png", dpi=240, bbox_inches="tight")
plt.close(fig)
def robust_extension() -> None:
rows = read(RESULTS / "robust_extension" / "robust_extension_test.csv")
specs = [
("local-risk", "Local risk", BLUE, "o"),
("toporisk", "TopoRisk", GREEN, "^"),
("robust-toporisk", "Robust-TopoRisk", RED, "D"),
]
fig, ax = plt.subplots(figsize=(3.6, 2.65))
for method, label, color, marker in specs:
selected = [r for r in rows if r["method"] == method]
ax.errorbar(
[float(r["noise"]) for r in selected],
[float(r["weighted_terminal_loss"]) for r in selected],
yerr=[float(r["ci95"]) for r in selected],
label=label, color=color, marker=marker, linewidth=1.4,
markersize=4, capsize=2,
)
ax.set_xlabel("Log-normal parameter noise $\\sigma$")
ax.set_ylabel("Weighted terminal loss ↓")
ax.grid(color="#D7DCE2", linewidth=.55)
ax.legend(frameon=False, loc="best")
fig.tight_layout(pad=.55)
fig.savefig(FIGURES / "figures_robust_extension.pdf", bbox_inches="tight")
fig.savefig(FIGURES / "figures_robust_extension.png", dpi=240, bbox_inches="tight")
plt.close(fig)
if __name__ == "__main__":
style()
main_bars()
robustness()
robust_extension()
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