OneRoundIoT/execution_time.py

   1 import matplotlib.pyplot as plt
   2 import matplotlib
   3 matplotlib.use('Agg')
   4 from ggplot import *
   5 import numpy as np
   6 import pandas as pd
   7 from math import log
   8 from matplotlib import style
   9 from matplotlib import style
  10 import time
  11 import tkinter as tk
  12 from tkinter import filedialog
  13 import ntpath
  14 from cycler import cycler
  15 ntpath.basename("a/b/c")
  16
  17
  18
  19
  20 def path_leaf(path):
  21     head, tail = ntpath.split(path)
  22     return tail or ntpath.basename(head)
  23
  24
  25 # Function is used to get the file-path
  26
  27 def uigetfileUserfunction():
  28         root = tk.Tk()
  29         root.withdraw()
  30         file_path = filedialog.askopenfilename()
  31         return file_path
  32
  33
  34
  35 def uipostfileUserfunction():
  36         root = tk.Tk()
  37         root.withdraw()
  38         root.filename =  filedialog.asksaveasfilename(initialdir = "/hn",title = "Select file",filetypes = (("text files","*.eps"),("all files","*.*")))
  39         #print (root.filename)
  40         resss=path_leaf(root.filename)
  41        # resss=root.filename
  42         print (resss)
  43         return resss
  44
  45
  46
  47 def plotResults(h,dataf,filename):
  48         #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%#
  49         # Build the figure and its corresponding parameters
  50         #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%#
  51             # use ggplot style sheet
  52     style.use('ggplot')
  53     beingsaved = plt.figure(figsize=(8, 8))
  54     plt.loglog(h,dataf)
  55     plt.yscale('log')
  56     plt.xlabel('Buffer Size')
  57     plt.ylabel('Execution Time')
  58     plt.legend(["Dynamic ECB Encryption", "Dynamic ECB Decryption", "Dynamic CTR ENCRYPTION",
  59                         "Dynamic CTR DECRYPTION","OpenSSL ECB Encryption"," OpenSSL Decryption ECB",
  60                         "OpenSSL Encryption CTR","OPENSSL Decryption CTR"],loc='best')
  61     matplotlib.rcParams.update({'font.size': 22})
  62     plt.grid(True,which="both",ls="-")
  63     plt.title('')
  64     beingsaved.savefig(filename, format='eps', dpi=1000)
  65     filename=filename[0:len(filename)-4]+'.png'
  66     beingsaved.savefig(filename, format='png', dpi=1000)
  67     plt.show()
  68
  69
  70
  71
  72
  73
  74
  75
  76  # Get the first file-path name
  77 str1=uigetfileUserfunction()
  78  # Get the second -path name
  79 str2=uigetfileUserfunction()
  80 '''
  81 #data = np.genfromtxt('execution_oneround_opi.txt')
  82 #data3 = np.genfromtxt('execution_openssl_opi.txt')4
  83 '''
  84 # Read the first filename
  85 data = np.genfromtxt(str1)
  86 # Eliminate the first column
  87 data2 = np.delete(data, 0, 1)  # delete first column of C
  88
  89 # Read the second filename
  90 data3 = np.genfromtxt(str2)
  91 data4 = np.delete(data3, 0, 1)  # delete first column of C
  92
  93 # Concatenate the both matrices (column-wise)
  94 dataf=np.hstack((data2, data4))
  95 print(dataf,type(dataf))
  96
  97 # Initialization the h vector
  98 h=np.asarray([16,64,256,1024,4096,16384,65536, 262144])
  99
 100 filename=uipostfileUserfunction()
 101 print (filename)
 102 # Call the plotResults function
 103 #filetoStore='hello'
 104 plotResults(h,dataf,filename)
 105
 106
 107