change name

Author: JewelRoam

graph_net/plot_ESt.py

@@ -264,7 +264,7 @@ def main(args):
     all_aggregated_results = {}
 
     for folder_name, samples in all_results.items():
-        print(f"\nCalculating S(t) scores for '{folder_name}'...")
+        print(f"\nCalculating ESt scores for '{folder_name}'...")
 
         es_scores = analysis_util.calculate_scores(
             samples,
@@ -382,7 +382,7 @@ def main(args):
         # Always show legend (whether aggregated curves are added or not)
         ax.legend(fontsize=16, loc="best")
 
-        output_file = os.path.join(args.output_dir, "ES_result.png")
+        output_file = os.path.join(args.output_dir, "ESt_result.png")
         plt.savefig(output_file, dpi=300, bbox_inches="tight")
         print(f"\nComparison plot saved to {output_file}")
     else:

graph_net/plot_St.py

@@ -57,7 +57,7 @@ def plot_St(s_scores: dict, cli_args: argparse.Namespace):
     ax.yaxis.grid(True, which="major", lw=0.8, ls=":", color="grey", alpha=0.5)
 
     ax.legend(fontsize=16, loc="best")
-    output_file = os.path.join(cli_args.output_dir, "S_result.png")
+    output_file = os.path.join(cli_args.output_dir, "St_result.png")
     plt.savefig(output_file, dpi=300, bbox_inches="tight")
     print(f"\nComparison plot saved to {output_file}")
 
@@ -72,7 +72,7 @@ def main(args):
     # 2. Calculate scores for each curve
     all_s_scores = {}
     for folder_name, samples in all_results.items():
-        print(f"\nCalculating S(t) scores for '{folder_name}'...")
+        print(f"\nCalculating St scores for '{folder_name}'...")
 
         s_scores = analysis_util.calculate_scores(
             samples,