Do not remove outliers, as they were measured, and are therefore possible

calibration/calibrate.py

@@ -4,29 +4,29 @@ operations = {}
 
 with open("calibration/result", 'r') as f:
     for l in f:
-        op, t = l.split(": ")
-        t = float(t)
-        operations.setdefault(op, []).append(t)
+        try:
+            op, t = l.split(": ")
+            t = float(t)
+            operations.setdefault(op, []).append(t)
+        except:
+            pass
 
 with open("calibration/averages", 'w') as averages:
     with open("calibration/plot", 'w') as plot:
         for op in operations:
             avg = sum(operations[op]) / len(operations[op])
             op_min = 0.0
-            op_max = avg * 3
+            op_max = max(operations[op])
             new_list = []
 
             with open("calibration/distribution_%s" % op, 'w') as f:
                 for t in sorted(operations[op]):
-                    if t < op_max:
-                        f.write("%f\n" % t)
-                        new_list.append(t)
+                    f.write("%f\n" % t)
 
-            avg = sum(new_list) / len(new_list)
-            averages.write("%20s: %f\n" % (op, avg))
+            averages.write("%20s: %.17f\n" % (op, avg))
 
             plot.write("set terminal postscript enhanced colour portrait size 6,6\n")
-            plot.write("n = 20\n")
+            plot.write("n = 2000\n")
             plot.write("min=%s\n" % op_min)
             plot.write("max=%s\n" % op_max)
             plot.write("width=(max-min)/n\n")