initial commit

codes/experiments/synthetic_data/analysis/call_relationship.py

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+import os
+import pandas as pd
+import matplotlib.pyplot as plt
+
+csv_file = "results/synthetic_data/raw/20260302_183202.csv"
+save_folder = f"results/synthetic_data/derived/{os.path.splitext(os.path.basename(csv_file))[0]}"
+os.makedirs(save_folder, exist_ok=True)
+
+df = pd.read_csv(csv_file)
+df = df[df["algorithm"] == "binary"].copy()
+df["relax_success_ratio"] = df["relax_success"] / df["relax_attempts"]
+
+# N vs extract_min_calls
+grouped = df.groupby("nodes")["extract_min_calls"].mean()
+
+plt.figure(figsize=(6,4))
+plt.plot(grouped.index, grouped.values, marker='o')
+plt.xlabel("N (nodes)")
+plt.ylabel("Average extract_min_calls")
+plt.title("Nodes vs Extract-Min Calls")
+plt.grid(True)
+plt.tight_layout()
+plt.savefig(f"{save_folder}/N_vs_extract_min.png", dpi=300)
+plt.close()
+
+# Density vs relax_attempts
+grouped = df.groupby("density")["relax_attempts"].mean()
+
+plt.figure(figsize=(6,4))
+plt.plot(grouped.index, grouped.values, marker='o')
+plt.xlabel("Density")
+plt.ylabel("Average relax_attempts")
+plt.title("Density vs Relax Attempts")
+plt.grid(True)
+plt.tight_layout()
+plt.savefig(f"{save_folder}/density_vs_relax_attempts.png", dpi=300)
+plt.close()
+
+# Sigma vs relax_success_ratio
+grouped = df.groupby("sigma")["relax_success_ratio"].mean()
+
+plt.figure(figsize=(6,4))
+plt.plot(grouped.index, grouped.values, marker='o')
+plt.xlabel("Sigma (lognormal)")
+plt.ylabel("Relax Success Ratio")
+plt.title("Sigma vs Relax Success Ratio")
+plt.grid(True)
+plt.tight_layout()
+plt.savefig(f"{save_folder}/sigma_vs_relax_ratio.png", dpi=300)
+plt.close()