- y_vals[test_name][key] = sum(test_val) / len(test_val)
- if key == "1":
- y_1c_max[test_name] = max(test_val) / 1000000.0
+ avg_val = sum(test_val) / len(test_val)
+ y_vals[test_name][key] = avg_val
+ ideal = avg_val / (int(key) * 1000000.0)
+ if test_name not in y_1c_max or ideal > y_1c_max[test_name]:
+ y_1c_max[test_name] = ideal