First commit

stats.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+
+from argparse import ArgumentParser
+from monobit_test import monobit_test
+import matplotlib.pyplot as plt
+from math import ceil
+
+parser = ArgumentParser(description="Stats")
+parser.add_argument('-r', '--random', help='Random tests file')
+args = parser.parse_args()
+
+if args.random is None:
+    print("You must specify the random test file")
+    exit(-1)
+
+data = None
+with open(args.random, "r") as f:
+    data = f.readlines()
+
+x = list()
+y = list()
+i = 0
+totals = 0
+totalsAverage = dict()
+for entry in data:
+    rand = int(entry.replace("\n", ""))
+    stats = monobit_test(bin(rand)[2:])
+    totals += 1
+    
+    # Je recupere juste le la value 0.x et je fais une moyenne
+    pvalue = str(stats)[0:3]
+    print(f"{rand}: {stats}: {pvalue}")
+    if pvalue not in totalsAverage:
+        totalsAverage[pvalue] = 0
+    totalsAverage[pvalue] += 1
+
+    y.append(stats) # Get the maximum value
+    x.append(i)
+    i += 1
+
+plt.figure(figsize=(10, 6)) 
+plt.bar(x, y, color='b')
+plt.legend()
+plt.show()
+
+x = list()
+y = list()
+
+for entry in totalsAverage:
+    print(f"{entry}: {totalsAverage[entry]}")
+    x.append(entry)
+    y.append(totalsAverage[entry])
+
+plt.figure(figsize=(10, 6)) 
+plt.bar(x, y, color='b')
+plt.legend()
+plt.show()