Amir Elmishali amir9979

## summary_report.html
<!DOCTYPE html>

<html>

<head>

<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />


## get_relevant_repos
from github import Github
import os
g = Github(os.environ['GITHUB_TOKEN'])
relevant_repos = []
organizations = ['apache', 'mozilla']
for org in organizations:
	repositories = g.search_repositories(query=f'org:{org} language:c')
	for repo in repositories:
		contents = r.get_contents('')
		if any([c.name == 'CMakeLists.txt' for c in contents]):

## Links.md

      
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                amir9979
                / Links.md
            
            
              Last active
              June 15, 2021 19:36
            
              
                TV links
              
          
    https://footystreamer.blogspot.com/p/france-matches-stream-free.html
http://mazystreams.xyz/event/uefa-euro-2021/s1.php
https://footystreamer.blogspot.com/p/channel-7.html
http://runid.xyz/t1.php
http://givemeredditstreams.com/sports/chelsea.html

  
## actions
var table = '';
function make_table() {
var x = document.querySelectorAll("a");
var myarray = []
for (var i=0; i<x.length; i++){
var nametext = x[i].textContent;
var cleantext = nametext.replace(/\s+/g, ' ').trim();
var cleanlink = x[i].href;
myarray.push([cleantext,cleanlink]);
};

## map_prediction_matrix
import git
import os
import re
import json
import pandas as pd
from difflib import SequenceMatcher

def find_closest_comp(matrix_comp, version_comps):
	m_comp = matrix_comp[1].replace(';', ',')
	if matrix_comp in version_comps or m_comp in version_comps:

## evaluate_barinel_optimize
from itertools import combinations, product
from operator import mul
import csv
import os
FAILED = range(6)
PASSED = range(21)


class Sublist(object):
	def __init__(self, sub_list, fail_count, pass_count):

## expected
import scipy
from operator import mul
from itertools import product

class Bet(object):
	def __init__(self, reward, probability, bet_option, game_name):
		self.reward, self.probability, self.game_name, self.bet_option = reward, probability, game_name, bet_option
		if self.is_none():
			assert self.get_expected() == 1


## create_multiple_call_graphs
import networkx
import os
from subprocess import Popen, PIPE

def get_call_graph(path, jar_path=r"C:\Users\amirelm\Documents\GitHub\java-callgraph\target\javacg-0.1-SNAPSHOT-static.jar"):
	jars = []
	for root, _, files in os.walk(path):
		jars.extend(map(lambda x: os.path.join(root,x), filter(lambda x: x.endswith('.jar'), files)))
	assert jars, "no jars in " + path
	edges = set()

## cve
import re
import csv
import os
import httplib2
from BeautifulSoup import BeautifulSoup, SoupStrainer
from itertools import product

lines = []
with open(r"C:\Users\User\Downloads\allitems (7).csv") as f:
	lines = filter(lambda x: 'libtiff' in ' '.join(x).lower(), csv.reader(f))

## one_test_sfl
from sfl_diagnoser.Diagnoser.Diagnosis_Results import Diagnosis_Results
from sfl_diagnoser.Diagnoser.diagnoserUtils import write_planning_file, readPlanningFile
from operator import itemgetter
from functools import partial
import os
import csv

folders = [r"C:\vulnerabilities\imageworsener_reproduce", r"C:\vulnerabilities\jasper_reproduce1"]

def only_one_test(matrix_file):
	<!DOCTYPE html>

	<html>

	<head>

	<meta charset="utf-8" />
	<meta name="generator" content="pandoc" />
	<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
	from github import Github
	import os
	g = Github(os.environ['GITHUB_TOKEN'])
	relevant_repos = []
	organizations = ['apache', 'mozilla']
	for org in organizations:
	repositories = g.search_repositories(query=f'org:{org} language:c')
	for repo in repositories:
	contents = r.get_contents('')
	if any([c.name == 'CMakeLists.txt' for c in contents]):
	var table = '';
	function make_table() {
	var x = document.querySelectorAll("a");
	var myarray = []
	for (var i=0; i<x.length; i++){
	var nametext = x[i].textContent;
	var cleantext = nametext.replace(/\s+/g, ' ').trim();
	var cleanlink = x[i].href;
	myarray.push([cleantext,cleanlink]);
	};
	import git
	import os
	import re
	import json
	import pandas as pd
	from difflib import SequenceMatcher

	def find_closest_comp(matrix_comp, version_comps):
	m_comp = matrix_comp[1].replace(';', ',')
	if matrix_comp in version_comps or m_comp in version_comps:
	from itertools import combinations, product
	from operator import mul
	import csv
	import os
	FAILED = range(6)
	PASSED = range(21)


	class Sublist(object):
	def __init__(self, sub_list, fail_count, pass_count):
	import scipy
	from operator import mul
	from itertools import product

	class Bet(object):
	def __init__(self, reward, probability, bet_option, game_name):
	self.reward, self.probability, self.game_name, self.bet_option = reward, probability, game_name, bet_option
	if self.is_none():
	assert self.get_expected() == 1
	import networkx
	import os
	from subprocess import Popen, PIPE

	def get_call_graph(path, jar_path=r"C:\Users\amirelm\Documents\GitHub\java-callgraph\target\javacg-0.1-SNAPSHOT-static.jar"):
	jars = []
	for root, _, files in os.walk(path):
	jars.extend(map(lambda x: os.path.join(root,x), filter(lambda x: x.endswith('.jar'), files)))
	assert jars, "no jars in " + path
	edges = set()
	from sfl_diagnoser.Diagnoser.Diagnosis_Results import Diagnosis_Results
	from sfl_diagnoser.Diagnoser.diagnoserUtils import write_planning_file, readPlanningFile
	from operator import itemgetter
	from functools import partial
	import os
	import csv

	folders = [r"C:\vulnerabilities\imageworsener_reproduce", r"C:\vulnerabilities\jasper_reproduce1"]

	def only_one_test(matrix_file):