add export_cycle_counts.py to parse run_tests.sh outputs directory

results/export_cycle_counts.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+import sys
+import pandas as pd
+from os import path
+from glob import glob
+
+if len(sys.argv) < 2:
+    print('usage: python3 ' + sys.argv[0] + ' <path to test_outputs>')
+    exit()
+
+output_dir = sys.argv[1]
+
+
+config_names = []
+test_names = []
+cycle_counts = []
+
+for filename in glob(path.join(output_dir, '*.log')):
+    cycle_line = None
+    with open(filename, 'r') as f:
+        for line in f:
+            line = line.strip()
+            if line.startswith('[sim] total cycles:'):
+                cycle_line = line
+    print(filename, cycle_line)
+
+    full_name, _, _ = path.basename(filename).partition('.') 
+
+    if cycle_line is None:
+        count = None
+    else:
+        _, _, count = cycle_line.partition(':')
+        count = int(count.strip())
+
+    config, test = full_name.rsplit('-', 1)
+    config_names.append(config)
+    test_names.append(test)
+    cycle_counts.append(count)
+
+df = pd.DataFrame({
+    'config': config_names,
+    'test': test_names,
+    'cycle_count': cycle_counts,
+})
+
+print(df.head())
+
+pivot = pd.pivot_table(df, values='cycle_count', index=['config'], columns=['test'])
+
+print(pivot.head())
+
+pivot.to_csv('results.csv')
+print('Table written to results.csv')
+