saved before topic change

codes/experiments/synthetic_data/analysis/call_number_analysis.py

@@ -8,7 +8,7 @@ import numpy as np
 
 
 # Initial Setup
-csv_file = "results/synthetic_data/raw/20260418_095837.csv"
+csv_file = "results/synthetic_data/raw/20260421_031740.csv"
 save_folder = f"results/synthetic_data/derived/{os.path.splitext(os.path.basename(csv_file))[0]}/call_number_analysis"
 os.makedirs(save_folder, exist_ok=True)
 
@@ -45,10 +45,8 @@ def E_vs_relax_attempts(df):
 
     print(f"Saved E vs relax_attempts plots to {save_folder}")
 
-# E_vs_relax_attempts(df)
 
-
-# sigma vs relax_success_ratio
+# 2. sigma vs relax_success_ratio
 def sigma_vs_relax_success_ratio(df):
     rows = []
     sigma_save_folder = os.path.join(save_folder, "sigma_vs_relax_ratio_controlled")
@@ -114,10 +112,8 @@ def sigma_vs_relax_success_ratio(df):
     res.to_csv(os.path.join(sigma_save_folder, "r2.csv"))
     print(f"Saved controlled sigma vs relax_success_ratio plots to {sigma_save_folder}")
 
-# sigma_vs_relax_success_ratio(df)
 
-
-# avg_degree vs relax_success_ratio
+# 3. avg_degree vs relax_success_ratio
 def avg_degree_vs_relax_success_ratio(df):
     avgdeg_scatter_folder = os.path.join(save_folder, "avg_deg_vs_ratio_controlled")
     os.makedirs(avgdeg_scatter_folder, exist_ok=True)
@@ -144,11 +140,9 @@ def avg_degree_vs_relax_success_ratio(df):
 
     print(f"Saved avg_degree vs ratio plots to {avgdeg_scatter_folder}")
 
-# avg_degree_vs_relax_success_ratio(df)
 
-
-# log_avg_degree vs log_ratio
-def log_avg_degree_vs_log_ratio():
+# 4. log_avg_degree vs log_ratio
+def log_avg_degree_vs_log_ratio(df):
     CEILING = 1
     avgdeg_loglog_folder = os.path.join(save_folder, "avgdeg_vs_ratio_loglog")
     os.makedirs(avgdeg_loglog_folder, exist_ok=True)
@@ -227,10 +221,9 @@ def log_avg_degree_vs_log_ratio():
 
     print(f"Saved avg_degree vs ratio log-log plots to {avgdeg_loglog_folder}")
 
-# log_avg_degree_vs_log_ratio()
 
-
-def regime_distribution():
+# 5. sigma vs. relax_success_ratio in controlled node,density
+def regime_distribution(df):
     r2_csv = os.path.join(save_folder, "sigma_vs_relax_ratio_controlled", "r2.csv")
     res = pd.read_csv(r2_csv)
 
@@ -297,10 +290,8 @@ def regime_distribution():
 
     print(f"Saved regime distribution plots to {regime_save_folder}")
 
-# regime_distribution()
 
-
-# Nonlinear regression: r = (a·ln(sigma) + b) · avg_deg^c
+# 6. Nonlinear regression: r = (a·ln(sigma) + b) · avg_deg^c
 def nonlinear_regression(df):
     # Filter: giant component regime only
     sub = df[(df["avg_degree"] >= 1) & (df["relax_success_ratio"] < 0.99)].copy()
@@ -368,4 +359,10 @@ def nonlinear_regression(df):
 
     print(f"Saved nonlinear regression plots to {nlr_save_folder}")
 
-nonlinear_regression(df)
+
+E_vs_relax_attempts(df) # 1
+sigma_vs_relax_success_ratio(df) # 2
+avg_degree_vs_relax_success_ratio(df) # 3
+log_avg_degree_vs_log_ratio(df) # 4
+regime_distribution(df) # 5
+nonlinear_regression(df) # 6