- rearanged experiments.py into single runable files

- Reformated net.self_x functions (sa, st)
- corrected robustness_exp.py
- NO DEBUGGING DONE!!!!!

experiments/helpers.py

@@ -0,0 +1,59 @@
+""" ----------------------------------------- Methods for summarizing the experiments ------------------------------------------ """
+import os
+
+from visualization import line_chart_fixpoints, bar_chart_fixpoints
+
+
+def summary_fixpoint_experiment(runs, population_size, epochs, experiments, net_learning_rate, directory_name,
+                                summary_pre_title):
+    avg_fixpoint_counters = {
+        "avg_identity_func": 0,
+        "avg_divergent": 0,
+        "avg_fix_zero": 0,
+        "avg_fix_weak": 0,
+        "avg_fix_sec": 0,
+        "avg_other_func": 0
+    }
+
+    for i in range(len(experiments)):
+        fixpoint_counters = experiments[i].fixpoint_counters
+
+        avg_fixpoint_counters["avg_identity_func"] += fixpoint_counters["identity_func"]
+        avg_fixpoint_counters["avg_divergent"] += fixpoint_counters["divergent"]
+        avg_fixpoint_counters["avg_fix_zero"] += fixpoint_counters["fix_zero"]
+        avg_fixpoint_counters["avg_fix_weak"] += fixpoint_counters["fix_weak"]
+        avg_fixpoint_counters["avg_fix_sec"] += fixpoint_counters["fix_sec"]
+        avg_fixpoint_counters["avg_other_func"] += fixpoint_counters["other_func"]
+
+    # Calculating the average for each fixpoint
+    avg_fixpoint_counters.update((x, y / len(experiments)) for x, y in avg_fixpoint_counters.items())
+
+    # Checking where the data is coming from to have a relevant title in the plot.
+    if summary_pre_title not in ["ST", "SA", "soup", "mixed", "robustness"]:
+        summary_pre_title = ""
+
+    # Plotting the summary
+    source_checker = "summary"
+    exp_details = f"{summary_pre_title}: {runs} runs & {epochs} epochs each."
+    bar_chart_fixpoints(avg_fixpoint_counters, population_size, directory_name, net_learning_rate, exp_details,
+                        source_checker)
+
+
+def summary_fixpoint_percentage(runs, epochs, fixpoints_percentages, ST_steps, SA_steps, directory_name,
+                                population_size):
+    fixpoints_percentages = [round(fixpoints_percentages[i] / runs, 1) for i in range(len(fixpoints_percentages))]
+
+    # Plotting summary
+    if "soup" in directory_name:
+        line_chart_fixpoints(fixpoints_percentages, epochs / ST_steps, ST_steps, SA_steps, directory_name,
+                             population_size)
+    else:
+        line_chart_fixpoints(fixpoints_percentages, epochs, ST_steps, SA_steps, directory_name, population_size)
+
+
+""" --------------------------------------------------- Miscellaneous ---------------------------------------------------------- """
+
+
+def check_folder(experiment_folder: str):
+    if not os.path.isdir("experiments"): os.mkdir(f"experiments/")
+    if not os.path.isdir(f"experiments/{experiment_folder}/"): os.mkdir(f"experiments/{experiment_folder}/")