+import matplotlib.pyplot as plt
+import matplotlib
+matplotlib.use('Agg')
+from ggplot import *
+import numpy as np
+import pandas as pd
+from math import log
+from matplotlib import style
+from matplotlib import style
+import time
+import tkinter as tk
+from tkinter import filedialog
+import ntpath
+from cycler import cycler
+ntpath.basename("a/b/c")
+
+
+
+
+def path_leaf(path):
+ head, tail = ntpath.split(path)
+ return tail or ntpath.basename(head)
+
+
+# Function is used to get the file-path
+
+def uigetfileUserfunction():
+ root = tk.Tk()
+ root.withdraw()
+ file_path = filedialog.askopenfilename()
+ return file_path
+
+
+
+def uipostfileUserfunction():
+ root = tk.Tk()
+ root.withdraw()
+ root.filename = filedialog.asksaveasfilename(initialdir = "/hn",title = "Select file",filetypes = (("text files","*.eps"),("all files","*.*")))
+ #print (root.filename)
+ resss=path_leaf(root.filename)
+ # resss=root.filename
+ print (resss)
+ return resss
+
+
+
+def plotResults(h,dataf,filename):
+ #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%#
+ # Build the figure and its corresponding parameters
+ #%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%#
+ # use ggplot style sheet
+ style.use('ggplot')
+ beingsaved = plt.figure(figsize=(8, 8))
+ plt.loglog(h,dataf)
+ plt.yscale('log')
+ plt.xlabel('Buffer Size')
+ plt.ylabel('Execution Time')
+ plt.legend(["Dynamic ECB Encryption", "Dynamic ECB Decryption", "Dynamic CTR ENCRYPTION",
+ "Dynamic CTR DECRYPTION","OpenSSL ECB Encryption"," OpenSSL Decryption ECB",
+ "OpenSSL Encryption CTR","OPENSSL Decryption CTR"],loc='best')
+ matplotlib.rcParams.update({'font.size': 22})
+ plt.grid(True,which="both",ls="-")
+ plt.title('')
+ beingsaved.savefig(filename, format='eps', dpi=1000)
+ filename=filename[0:len(filename)-4]+'.png'
+ beingsaved.savefig(filename, format='png', dpi=1000)
+ plt.show()
+
+
+
+
+
+
+
+
+ # Get the first file-path name
+str1=uigetfileUserfunction()
+ # Get the second -path name
+str2=uigetfileUserfunction()
+'''
+#data = np.genfromtxt('execution_oneround_opi.txt')
+#data3 = np.genfromtxt('execution_openssl_opi.txt')4
+'''
+# Read the first filename
+data = np.genfromtxt(str1)
+# Eliminate the first column
+data2 = np.delete(data, 0, 1) # delete first column of C
+
+# Read the second filename
+data3 = np.genfromtxt(str2)
+data4 = np.delete(data3, 0, 1) # delete first column of C
+
+# Concatenate the both matrices (column-wise)
+dataf=np.hstack((data2, data4))
+print(dataf,type(dataf))
+
+# Initialization the h vector
+h=np.asarray([16,64,256,1024,4096,16384,65536, 262144])
+
+filename=uipostfileUserfunction()
+print (filename)
+# Call the plotResults function
+#filetoStore='hello'
+plotResults(h,dataf,filename)
+
+
+
