76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""Render the preregistered fidelity-envelope figure prototype."""
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from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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OUT = Path(__file__).with_name("mock-fidelity-envelope.png")
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def main() -> None:
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workloads = ["F0\n2048/1", "F1\n512/1", "F2\n2048/128", "T1\nexact trace"]
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variants = ["A0 analytical", "A1 native measured", "A2 measured+fix", "A3 +batch profile"]
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# Prototype values are deliberately marked as MOCK and encode possible,
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# distinguishable outcomes only. They are never read by result analysis.
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regret = np.array(
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[
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[12.5, 14.0, 18.0, 25.0],
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[11.0, 13.0, 16.0, 22.0],
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[7.5, 10.0, 12.0, 18.0],
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[2.0, 4.0, 7.0, 12.0],
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]
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)
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fig, (ax0, ax1) = plt.subplots(
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1, 2, figsize=(11.5, 4.5), gridspec_kw={"width_ratios": [1.35, 1.0]}
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)
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x = np.arange(len(workloads))
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width = 0.19
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colors = ["#7f7f7f", "#4c78a8", "#f58518", "#54a24b"]
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for index, (variant, color) in enumerate(zip(variants, colors)):
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ax0.bar(
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x + (index - 1.5) * width,
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regret[index],
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width,
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label=variant,
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color=color,
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)
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ax0.axhline(5.0, color="#d62728", linestyle="--", linewidth=1.5, label="5% gate")
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ax0.set_xticks(x, workloads)
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ax0.set_ylabel("Worst selected-config regret (%)")
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ax0.set_title("A. Rank fidelity across workload complexity")
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ax0.legend(fontsize=8, ncol=2, frameon=False)
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ax0.grid(axis="y", alpha=0.25)
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consumption = np.array(
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[
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[0, 0, 0],
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[35, 65, 0],
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[100, 0, 0],
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[100, 0, 100],
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]
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)
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bottom = np.zeros(len(variants))
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labels = ["measured collective hit", "analytical fallback", "batch-profile coverage"]
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stack_colors = ["#4c78a8", "#e45756", "#54a24b"]
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for values, label, color in zip(consumption.T, labels, stack_colors):
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ax1.barh(variants, values, left=bottom, label=label, color=color)
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bottom += values
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ax1.set_xlim(0, 200)
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ax1.set_xlabel("Coverage counters (normalized; separate axes by mechanism)")
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ax1.set_title("B. Profile consumption, not just final rank")
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ax1.grid(axis="x", alpha=0.25)
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ax1.legend(fontsize=8, frameon=False, loc="lower right")
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fig.suptitle("MOCK / preregistered layout — values are not experimental results", fontsize=12)
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fig.tight_layout()
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fig.savefig(OUT, dpi=180, bbox_inches="tight")
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print(OUT)
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if __name__ == "__main__":
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main()
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