Zerk Shaban Zerk123

## AESCipher.py
#!/usr/bin/env python

import base64

from Crypto import Random
from Crypto.Cipher import AES

BS = 16
pad = lambda s: s + (BS - len(s) % BS) * chr(BS - len(s) % BS)
unpad = lambda s : s[0:-ord(s[-1])]

## Complain.php
<!DOCTYPE html>
<html lang="en">
<!-- Mirrored from ustadustani.com/contact.php by HTTrack Website Copier/3.x [XR&CO'2014], Tue, 02 Jan 2018 17:19:14 GMT -->
<!-- Added by HTTrack --><meta http-equiv="content-type" content="text/html;charset=UTF-8" /><!-- /Added by HTTrack -->
<head>
		<title>Submit Complains</title>
		<meta name="viewport" content="initial-scale=1.0, user-scalable=no">

		<link href="css/bootstrap.css" rel="stylesheet">
		<link href="css/bootstrap-select.css" rel="stylesheet">

## AddServer.java
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.net.ServerSocket;
import java.net.Socket;

public class AddServer {

	public static void main(String[] args) {
		// TODO Auto-generated method stub

## PredictGoal.py
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 31 18:30:51 2017

@author: Zerk Shaban
"""

import pandas as pd
import math
import numpy as np

## PredictGoal.py
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 31 18:30:51 2017

@author: Zerk Shaban
"""

import pandas as pd
import math
import numpy as np

## ds.py
import pandas as pd
import datetime
import pandas_datareader.data as web
import matplotlib.pyplot as plt
import numpy as np
from numpy import nan as NA
#PANDAS
#PANDAS Data Structures
#Series
obj =  pd.Series([2,4,6,7,8])

## Edit.php
<?php
session_start();
      $a=mysqli_connect("localhost","root","","members");

	  if(isset($_POST['update'])){
		  $username=$_POST['username'];
		 $password=$_POST['password'];
		  $query1="select id from users where name='$username'";

		  $result=mysqli_query($a,$query1);

## sawarq.cpp
#include<iostream>
#include<windows.h>
#include<time.h>
#define Index 5
using namespace std;


struct Data {
	int dataFrame;

## project.mat
% Team Owais, Zerk, Shaleem, Faisal, Farman
% Accuracy 0.9472 (94%)
% Uses bag of features for training.

% Path to data-set folder
path = 'data-set';
imgSets = imageSet(path, 'recursive');

% Partition our data to 30/70, Where 30% data is for training and 70 for
% test set. Increasing training set will increase accuracy.

## sawp.cpp
#include<iostream>
#include<windows.h>
using namespace std;


struct Data{
int dataFrame;
int dataRecieved;
int extractedDatavar;
	#!/usr/bin/env python

	import base64

	from Crypto import Random
	from Crypto.Cipher import AES

	BS = 16
	pad = lambda s: s + (BS - len(s) % BS) * chr(BS - len(s) % BS)
	unpad = lambda s : s[0:-ord(s[-1])]
	<!DOCTYPE html>
	<html lang="en">
	<!-- Mirrored from ustadustani.com/contact.php by HTTrack Website Copier/3.x [XR&CO'2014], Tue, 02 Jan 2018 17:19:14 GMT -->
	<!-- Added by HTTrack --><meta http-equiv="content-type" content="text/html;charset=UTF-8" /><!-- /Added by HTTrack -->
	<head>
	<title>Submit Complains</title>
	<meta name="viewport" content="initial-scale=1.0, user-scalable=no">

	<link href="css/bootstrap.css" rel="stylesheet">
	<link href="css/bootstrap-select.css" rel="stylesheet">
	import java.io.BufferedReader;
	import java.io.InputStreamReader;
	import java.io.PrintWriter;
	import java.net.ServerSocket;
	import java.net.Socket;

	public class AddServer {

	public static void main(String[] args) {
	// TODO Auto-generated method stub
	# -- coding: utf-8 --
	"""
	Created on Tue Oct 31 18:30:51 2017

	@author: Zerk Shaban
	"""

	import pandas as pd
	import math
	import numpy as np
	import pandas as pd
	import datetime
	import pandas_datareader.data as web
	import matplotlib.pyplot as plt
	import numpy as np
	from numpy import nan as NA
	#PANDAS
	#PANDAS Data Structures
	#Series
	obj = pd.Series([2,4,6,7,8])
	<?php
	session_start();
	$a=mysqli_connect("localhost","root","","members");

	if(isset($_POST['update'])){
	$username=$_POST['username'];
	$password=$_POST['password'];
	$query1="select id from users where name='$username'";

	$result=mysqli_query($a,$query1);
	#include<iostream>
	#include<windows.h>
	#include<time.h>
	#define Index 5
	using namespace std;



	struct Data {
	int dataFrame;
	% Team Owais, Zerk, Shaleem, Faisal, Farman
	% Accuracy 0.9472 (94%)
	% Uses bag of features for training.

	% Path to data-set folder
	path = 'data-set';
	imgSets = imageSet(path, 'recursive');

	% Partition our data to 30/70, Where 30% data is for training and 70 for
	% test set. Increasing training set will increase accuracy.