#!/usr/bin/env python3 """Plot the fixed-validation curves for the software-transfer arms.""" from pathlib import Path import matplotlib.pyplot as plt import pandas as pd from matplotlib.lines import Line2D ARTIFACTS = Path(__file__).resolve().parent INPUT = ARTIFACTS / "software-transfer-fixed-validation.csv" OUTPUT = ARTIFACTS / "software-transfer-fixed-validation" SERIES = { "factorial_constdenom_g4_entropy_0.00003_lr_2e-6": ("constant_denominator", 4), "factorial_sequence_mean_g8_entropy_0.00003_lr_2e-6": ("sequence_mean", 8), "factorial_sequence_mean_g16_entropy_0.00003_lr_2e-6": ("sequence_mean", 16), "factorial_sequence_mean_g32_entropy_0.00003_lr_2e-6": ("sequence_mean", 32), "factorial_constdenom_g8_entropy_0.00003_lr_2e-6": ("constant_denominator", 8), "factorial_constdenom_g16_entropy_0.00003_lr_2e-6": ("constant_denominator", 16), "factorial_constdenom_g32_entropy_0.00003_lr_2e-6": ("constant_denominator", 32), "factorial_constdenom_g64_entropy_0.00003_lr_2e-6": ("constant_denominator", 64), } GROUP_COLORS = {4: "#E69F00", 8: "#0072B2", 16: "#D55E00", 32: "#009E73", 64: "#CC79A7"} LOSS_STYLES = {"sequence_mean": "--", "constant_denominator": "-"} # Non-paired Qwen3-Coder archive estimates published from marin issue #8809: # https://github.com/marin-community/marin/issues/8809#issuecomment-5516287195 BASE_REFERENCES = { "BugsInPy": {"pass@1": 0.3049, "pass@16": 0.5761}, "SWE-Gym": {"pass@1": 0.3943, "pass@16": 0.9084}, } BASE_STYLES = {"pass@1": ":", "pass@16": "-."} def main() -> None: frame = pd.read_csv(INPUT) frame = frame[ frame["status"].isin(["authoritative", "authoritative_policy_stop", "authoritative_user_stop"]) ].copy() frame = frame[frame["recipe"].isin(SERIES)].copy() # A restarted arm can have more than one authoritative attempt. Retain only # the latest attempt so disconnected histories are not presented as a curve. latest_attempts = frame.groupby(["dataset", "recipe"])["attempt"].transform("max") frame = frame[frame["attempt"] == latest_attempts] peaks = frame.groupby(["dataset", "recipe"])["pass_at_1"].max() leaders = peaks.groupby(level="dataset").idxmax().to_dict() plt.rcParams.update( { "font.family": "DejaVu Sans", "font.size": 12, "axes.titlesize": 17, "axes.titleweight": "bold", "axes.labelsize": 13, "legend.fontsize": 10.5, } ) fig, axes = plt.subplots(1, 2, figsize=(15.5, 8.5), sharey=True) for ax, dataset in zip(axes, ("BugsInPy", "SWE-Gym"), strict=True): panel = frame[frame["dataset"] == dataset] for recipe, (loss_reduction, group_size) in SERIES.items(): series = panel[panel["recipe"] == recipe].sort_values("step") if series.empty: continue is_leader = leaders[dataset][1] == recipe ax.plot( series["step"], series["pass_at_1"], color=GROUP_COLORS[group_size], linestyle=LOSS_STYLES[loss_reduction], marker="o", markersize=6 if is_leader else 5, linewidth=3.0 if is_leader else 1.8, alpha=1.0 if is_leader else 0.72, zorder=3 if is_leader else 2, ) peak_row = series.loc[series["pass_at_1"].idxmax()] ax.scatter( [peak_row["step"]], [peak_row["pass_at_1"]], marker="D", s=68 if is_leader else 48, color=GROUP_COLORS[group_size], edgecolor="white", linewidth=0.9, zorder=4, ) stop_rows = series[series["status"].isin(["authoritative_policy_stop", "authoritative_user_stop"])] if not stop_rows.empty: stop_row = stop_rows.sort_values("step").iloc[-1] ax.scatter( [stop_row["step"]], [stop_row["pass_at_1"]], marker="X", s=105 if is_leader else 82, color=GROUP_COLORS[group_size], edgecolor="white", linewidth=1.0, zorder=5, ) for metric, value in BASE_REFERENCES[dataset].items(): ax.axhline( value, color="#555555", linestyle=BASE_STYLES[metric], linewidth=1.6, alpha=0.82, zorder=1, ) ax.text( 0.985, value + 0.008, f"Archive base {metric} {value:.4f}", transform=ax.get_yaxis_transform(), ha="right", va="bottom", fontsize=9.5, color="#444444", bbox={"facecolor": "white", "edgecolor": "none", "alpha": 0.82, "pad": 1.4}, zorder=6, ) ax.set_title(dataset, pad=10) ax.set_xlabel("Training step") ax.set_xlim(-0.35, max(8.8, float(panel["step"].max()) + 0.8)) ax.set_ylim(0, 1.0) ax.set_xticks(sorted(panel["step"].unique())) ax.grid(True, color="#CFD5DC", linewidth=0.7, alpha=0.65) ax.set_axisbelow(True) axes[0].set_ylabel("Fixed-validation pass@1") fig.suptitle("Software-transfer performance so far", fontsize=21, fontweight="bold", y=0.96) fig.text( 0.5, 0.905, "Seed-42 disjoint 128-task validation; matched factorial arms only. Diamonds mark peaks; X marks termination; bold lines lead.\n" "Gray lines are non-paired Qwen3-Coder archive references from Marin issue #8809.", ha="center", va="top", fontsize=12.5, color="#444444", ) legend_handles = [ *[ Line2D( [0], [0], color=GROUP_COLORS[group_size], marker="o", linestyle="none", markersize=7, label=f"Group {group_size}", ) for group_size in GROUP_COLORS ], Line2D([0], [0], color="#333333", linestyle="--", linewidth=2.2, label="Sequence mean"), Line2D([0], [0], color="#333333", linestyle="-", linewidth=2.2, label="Constant denominator"), Line2D( [0], [0], color="#555555", marker="X", markeredgecolor="white", linestyle="none", markersize=9, label="Terminated", ), Line2D( [0], [0], color="#555555", linestyle=BASE_STYLES["pass@1"], linewidth=1.8, label="Archive base pass@1", ), Line2D( [0], [0], color="#555555", linestyle=BASE_STYLES["pass@16"], linewidth=1.8, label="Archive base pass@16", ), ] fig.legend( handles=legend_handles, loc="lower center", bbox_to_anchor=(0.5, 0.025), ncol=5, frameon=False, title="Color = group size; line = loss reduction", ) fig.tight_layout(rect=(0, 0.18, 1, 0.84), w_pad=3.0) fig.savefig(OUTPUT.with_suffix(".png"), dpi=180, bbox_inches="tight") fig.savefig(OUTPUT.with_suffix(".svg"), bbox_inches="tight") if __name__ == "__main__": main()