Merge branch 'master' of lab.las3.de:lwc/compare

parse_logic.py

@@ -2,12 +2,13 @@
 
 
 import os
 import os
 import sys
 import sys
-import re
+import statistics
+import matplotlib.pyplot as plt
 
 
 def parse_capture(filename):
 def parse_capture(filename):
     f = open('measurements/' + filename)
     f = open('measurements/' + filename)
-    #counter = 0
-    counter = 1
+    # Skip the first two false positves (risky)
+    counter = -1
     lets_use_a_flag = False
     lets_use_a_flag = False
     six_ts = ''
     six_ts = ''
     two_ts = ''
     two_ts = ''
@@ -17,17 +18,18 @@ def parse_capture(filename):
         l_array = l.split(" ")
         l_array = l.split(" ")
         bit_field = l_array[-1][:-1]
         bit_field = l_array[-1][:-1]
         # l_array? That's the best you came up with?
         # l_array? That's the best you came up with?
-        if bit_field == '6':
-            six_ts = l_array[0][:-1]
+        if bit_field == '2':
+            two_ts = l_array[0][:-1]
             lets_use_a_flag = True
             lets_use_a_flag = True
             continue
             continue
         if lets_use_a_flag:
         if lets_use_a_flag:
-            if bit_field == '2':
-                #if counter == 0:
-                    #counter = counter + 1
-                    #continue
-                two_ts = l_array[0][:-1]
-                delta = float(two_ts) - float(six_ts)
+            if bit_field == '6':
+                if counter <= 0:
+                    counter = counter + 1
+                    lets_use_a_flag = False
+                    continue
+                six_ts = l_array[0][:-1]
+                delta = float(six_ts) - float(two_ts)
                 if counter % 2 == 1:
                 if counter % 2 == 1:
                     enc_deltas[(counter+1)/2] = delta
                     enc_deltas[(counter+1)/2] = delta
                 else:
                 else:
@@ -36,12 +38,7 @@ def parse_capture(filename):
             else:
             else:
                 lets_use_a_flag = False
                 lets_use_a_flag = False
     f.close()
     f.close()
-    for key in enc_deltas:
-        print("Vector %d was encrypted in %f seconds" % (key, enc_deltas[key]))
-    for key in dec_deltas:
-        print("Vector %d was decrypted in %f seconds" % (key, dec_deltas[key]))
-    print(len(enc_deltas))
-    print(len(dec_deltas))
+    return (enc_deltas, dec_deltas)
 
 
 def read_log(d):
 def read_log(d):
     # Soo readlines, much efficient
     # Soo readlines, much efficient
@@ -54,25 +51,58 @@ def read_log(d):
         return
         return
 
 
     # I like to split it, split it 
     # I like to split it, split it 
-    algorithm = content[0].split(' ')[-1].split('/')[-2]
+    path = content[0].split(' ')[-1].split('/') 
+    if path[-2] == 'ref':
+        algorithm = path[-3]
+    else:
+        algorithm = path[-2]
+
     # Path to logic data is in the second to last line
     # Path to logic data is in the second to last line
     logic_file = content[-2].split('/')[-1][:-2]
     logic_file = content[-2].split('/')[-1][:-2]
 
 
     f. close()
     f. close()
 
 
-    print("Let's evaluate the test results of algorithm %s by using %s" % (algorithm, logic_file))
+    print("Evaluating results for %s" % (algorithm))
 
 
-    parse_capture(logic_file)
+    dicts = parse_capture(logic_file)
+
+    return (algorithm, dicts)
 
 
 def main():
 def main():
     print('THE LWC BENCHMARK SPLITTER')
     print('THE LWC BENCHMARK SPLITTER')
     print('powered by Deutsche Bahn')
     print('powered by Deutsche Bahn')
-    build_dir = 'build/'
+    build_dir = 'build/new/'
+    box_plot_data = []
+    box_plot_labels = []
     for d in os.listdir(build_dir):
     for d in os.listdir(build_dir):
-        read_log(os.path.join(build_dir + d))
+        #dicts[0] --> algo
+        #dicts[1][0] --> enc
+        #dicts[1][1] --> dec
+        dicts = read_log(os.path.join(build_dir + d))
+        enc_values = dicts[1][0].values()
+        dec_values = dicts[1][1].values()
+     
+        box_plot_data.append(list(enc_values))
+        box_plot_labels.append(dicts[0])
+
+        print("Average enc time[s] = %f" % (statistics.mean(enc_values)))
+        print("Median enc time[s] = %f" % (statistics.median(enc_values)))
+        print("Average dec time[s] = %f"  % (statistics.mean(dec_values)))
+        print("Median dec time[s] = %f"  % (statistics.median(dec_values)))
+        print()
+        
+        enc_len = len(dicts[1][0])
+        dec_len = len(dicts[1][1])
 
 
+        if dec_len != enc_len:
+            raise Exception("#Encryptions (%d) does not match #decryptions (%d)" % (enc_len, dec_len))
 
 
+        if dec_len != 1089 or enc_len != 1089:
+            raise Exception("#Number of encrypted test vectors (%d)/ decrypted test vectors (%d) does not match guidelines (1089)" % (enc_len, dec_len))
     
     
+    plt.boxplot(box_plot_data, labels=box_plot_labels)
+    plt.xticks(rotation=90)
+    plt.show()
 if __name__ == "__main__":
 if __name__ == "__main__":
     main()
     main()