Added cache self.leaderboard_scatter_plots

server.py

@@ -295,6 +295,7 @@ class LeaderboardServer:
         self.tournament_dataframes = {}  # For each submission_id and category
         self.leaderboard_dataframes_csv = {}  # For each category
         self.tournament_dataframes_csv = {}  # For each submission_id and category
+        self.leaderboard_scatter_plots = {}  # For each category
         self.leaderboard_heatmaps = {}  # For each category
         
         self.results_dataset_local_snapshot_lock = ReadWriteLock()
@@ -374,12 +375,18 @@ class LeaderboardServer:
             self.leaderboard_dataframes_csv = leaderboard_dataframes_csv
             self.tournament_dataframes_csv = tournament_dataframes_csv
         
+        leaderboard_scatter_plots = {kind_of_p_value: {
+            category: self._get_leaderboard_scatter_plot(category=category, kind_of_p_value=kind_of_p_value)
+            for category in categories
+        } for kind_of_p_value in self.KINDS_OF_P_VALUE}
+        
         leaderboard_heatmaps = {kind_of_p_value: {
             category: self._get_leaderboard_heatmap(category=category, kind_of_p_value=kind_of_p_value)
             for category in categories
         } for kind_of_p_value in self.KINDS_OF_P_VALUE}
         
         with self.var_lock.rw:
+            self.leaderboard_scatter_plots = leaderboard_scatter_plots
             self.leaderboard_heatmaps = leaderboard_heatmaps
 
     def load_tournament_results(self):
@@ -725,6 +732,15 @@ class LeaderboardServer:
         return filepath
 
     def get_leaderboard_scatter_plot(self, pre_submit=None, category=None, kind_of_p_value=None):
+        if pre_submit == None:
+            category = category if category else self.TASKS_CATEGORY_OVERALL
+            kind_of_p_value = kind_of_p_value if kind_of_p_value else self.DEFAULT_KIND_OF_P_VALUE
+            with self.var_lock.ro:
+                return self.leaderboard_scatter_plots[kind_of_p_value][category]
+        else:
+            return self._get_leaderboard_scatter_plot(pre_submit=pre_submit, category=category, kind_of_p_value=kind_of_p_value)
+
+    def _get_leaderboard_scatter_plot(self, pre_submit=None, category=None, kind_of_p_value=None):
         import numpy as np
         from analyze_winscore import get_ldb_records, create_scatter_plot_with_curve_with_variances_named