Shivendra Agrawal ShivendraAgrawal

## Try.c
#include<stdio.h>
main()
{
printf("Hello");
}
# Ok, so the change was not reflected here. Interesting!!
#This is a 2nd change in the original file.

#3rd change. It's getting confusing here :|

## number.cpp
#include "iostream"
using namespace std;
void find_next(int num[], int n);
int main()
{
  int n;
	printf("enter n\n");
	scanf("%d",&n);
    printf("enter %d-digit no.\n",n);
    int num[n];

## index.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <link href="//netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"
          rel="stylesheet">
  </head>
  <body>
    <div class="container">
      <div class="header">
        <h3 class="text-muted">How To Upload a File</h3>

## index2.html
!DOCTYPE HTML>
 <html>
    <body>

      {% for v in onlyfiles %}
      <img src="{{ url_for('static', filename = v) }}" width="1050" height="300">
      {% endfor %}

   </body>
 </html>

## server.py
import os
from os import listdir
from os.path import isfile, join
# We'll render HTML templates and access data sent by POST
# using the request object from flask. Redirect and url_for
# will be used to redirect the user once the upload is done
# and send_from_directory will help us to send/show on the
# browser the file that the user just uploaded
from flask import Flask, render_template, request, redirect, url_for, send_from_directory
from werkzeug import secure_filename

## shivendra.m
function [n2] = shivendra( image )
%UNTITLED2 Summary of this function goes here
%   Detailed explanation goes here
rgb = imread(image) ;

gray = rgb2gray(rgb) ;
%(gray,'gray.jpg');
%imwrite(gray>180,'undilated.jpg');

%filteredgray = medfilt2(gray,[7 7]);

## automatic_select.m
function [] = automatic_select()

count = 0;
imageFiles = dir('*.jpg');
nFiles = length(imageFiles);
white_counts = zeros(nFiles);

for i = 1 : nFiles
    count = count + 1;
    currentFileName = imageFiles(i).name;

## greenboard.sh
#!/bin/bash
 convert "$1" \
 -morphology EdgeIn Octagon \
 -negate -normalize -blur 0x2 \
-channel RGB -level 50%,81%,0.1 \ -colorspace Gray \
 "$2"

## whiteboard.sh
#!/bin/bash
 convert "$1" \
 -morphology Convolve DoG:15,100,0 \
 -negate -normalize -blur 0x1 \
-channel RGB -level 60%,91%,0.1\ -colorspace Gray \
 "$2"

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console
	#include<stdio.h>
	main()
	{
	printf("Hello");
	}
	# Ok, so the change was not reflected here. Interesting!!
	#This is a 2nd change in the original file.

	#3rd change. It's getting confusing here :\|
	#include "iostream"
	using namespace std;
	void find_next(int num[], int n);
	int main()
	{
	int n;
	printf("enter n\n");
	scanf("%d",&n);
	printf("enter %d-digit no.\n",n);
	int num[n];
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<link href="//netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"
	rel="stylesheet">
	</head>
	<body>
	<div class="container">
	<div class="header">
	<h3 class="text-muted">How To Upload a File</h3>
	!DOCTYPE HTML>
	<html>
	<body>

	{% for v in onlyfiles %}
	<img src="{{ url_for('static', filename = v) }}" width="1050" height="300">
	{% endfor %}

	</body>
	</html>
	import os
	from os import listdir
	from os.path import isfile, join
	# We'll render HTML templates and access data sent by POST
	# using the request object from flask. Redirect and url_for
	# will be used to redirect the user once the upload is done
	# and send_from_directory will help us to send/show on the
	# browser the file that the user just uploaded
	from flask import Flask, render_template, request, redirect, url_for, send_from_directory
	from werkzeug import secure_filename
	function [n2] = shivendra( image )
	%UNTITLED2 Summary of this function goes here
	% Detailed explanation goes here
	rgb = imread(image) ;

	gray = rgb2gray(rgb) ;
	%(gray,'gray.jpg');
	%imwrite(gray>180,'undilated.jpg');

	%filteredgray = medfilt2(gray,[7 7]);
	function [] = automatic_select()

	count = 0;
	imageFiles = dir('*.jpg');
	nFiles = length(imageFiles);
	white_counts = zeros(nFiles);

	for i = 1 : nFiles
	count = count + 1;
	currentFileName = imageFiles(i).name;
	#!/bin/bash
	convert "$1" \
	-morphology EdgeIn Octagon \
	-negate -normalize -blur 0x2 \
	-channel RGB -level 50%,81%,0.1 \ -colorspace Gray \
	"$2"
	#!/bin/bash
	convert "$1" \
	-morphology Convolve DoG:15,100,0 \
	-negate -normalize -blur 0x1 \
	-channel RGB -level 60%,91%,0.1\ -colorspace Gray \
	"$2"
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console