adonis simo simo97

## pwnedpasswords-v2-top20k.txt
# Top 20K hashes from the Troy Hunt / haveibeenpwned Pwned Passwords list v2 (2018-02-21)
# Original raw as published is at https://gist.github.com/roycewilliams/eef06c1148707ce8c8a1dea85768b207
20760336:7c4a8d09ca3762af61e59520943dc26494f8941b:123456
7016669:f7c3bc1d808e04732adf679965ccc34ca7ae3441:123456789
3599486:b1b3773a05c0ed0176787a4f1574ff0075f7521e:qwerty
3303003:5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8:password
2900049:3d4f2bf07dc1be38b20cd6e46949a1071f9d0e3d:111111
2680521:7c222fb2927d828af22f592134e8932480637c0d:12345678
2670319:6367c48dd193d56ea7b0baad25b19455e529f5ee:abc123
2310111:e38ad214943daad1d64c102faec29de4afe9da3d:password1

## nginx-tuning.md

      
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                simo97
                / nginx-tuning.md
            
            
              Created
              October 7, 2018 20:45
                — forked from denji/nginx-tuning.md
            
              
                NGINX tuning for best performance
              
          
    Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

  
## currencies.py
 # -*- coding: utf-8 -*-
"""
list of currencies currently in circulation

taken from http://www.currency-iso.org/iso_index/iso_tables/iso_tables_a1.htm
           http://www.iso.org/iso/currency_codes_list-1.html

2011-08-11
"""

## low.py
TableName.objects.filter(tenant_uuid = 5)

## mid.py
TableName.objects.all()
# assume that there is a tool ( a db router ) which is a charge of selecting the right schema to execute the query

## hight.py
TableName.objects.all().using('DB_NAME')
tableNameOject.save(using='DB_NAME')

## color_detection.html
<!doctype html>
<html>
<head>
  <meta charset="utf-8">
  <title>tracking.js - first tracking</title>
  <script src="tracking-min.js"></script>
  <script
  src="https://code.jquery.com/jquery-3.3.1.min.js"
  integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8="
  crossorigin="anonymous"></script>

## color_detection_cutom_colors.html
<!doctype html>
<html>
<head>
  <meta charset="utf-8">
  <title>tracking.js - first tracking</title>
  <script src="tracking-min.js"></script>
  <script
  src="https://code.jquery.com/jquery-3.3.1.min.js"
  integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8="
  crossorigin="anonymous"></script>

## object_detector.html
<!doctype html>
<html>
<head>
  <meta charset="utf-8">
  <title>tracking.js - first tracking</title>
  <script src="tracking-min.js"></script>

  <!-- include dataset for each objet type -->
  <script src="data/face.js"></script>
  <script src="data/eye.js"></script>

## web_compoment_objects.html
<!DOCTYPE html>
<html>
<head>
  <!-- Importing Web Component's Polyfill -->
  <script src="bower/platform/platform.js"></script>
  <!-- Importing Custom Elements -->
  <link rel="import" href="../src/image-object-tracking.html">
</head>
<body>
  <!-- Using Custom Elements -->
	# Top 20K hashes from the Troy Hunt / haveibeenpwned Pwned Passwords list v2 (2018-02-21)
	# Original raw as published is at https://gist.github.com/roycewilliams/eef06c1148707ce8c8a1dea85768b207
	20760336:7c4a8d09ca3762af61e59520943dc26494f8941b:123456
	7016669:f7c3bc1d808e04732adf679965ccc34ca7ae3441:123456789
	3599486:b1b3773a05c0ed0176787a4f1574ff0075f7521e:qwerty
	3303003:5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8:password
	2900049:3d4f2bf07dc1be38b20cd6e46949a1071f9d0e3d:111111
	2680521:7c222fb2927d828af22f592134e8932480637c0d:12345678
	2670319:6367c48dd193d56ea7b0baad25b19455e529f5ee:abc123
	2310111:e38ad214943daad1d64c102faec29de4afe9da3d:password1
	# -- coding: utf-8 --
	"""
	list of currencies currently in circulation

	taken from http://www.currency-iso.org/iso_index/iso_tables/iso_tables_a1.htm
	http://www.iso.org/iso/currency_codes_list-1.html

	2011-08-11
	"""
	TableName.objects.all()
	# assume that there is a tool ( a db router ) which is a charge of selecting the right schema to execute the query
	TableName.objects.all().using('DB_NAME')
	tableNameOject.save(using='DB_NAME')
	<!doctype html>
	<html>
	<head>
	<meta charset="utf-8">
	<title>tracking.js - first tracking</title>
	<script src="tracking-min.js"></script>
	<script
	src="https://code.jquery.com/jquery-3.3.1.min.js"
	integrity="sha256-FgpCb/KJQlLNfOu91ta32o/NMZxltwRo8QtmkMRdAu8="
	crossorigin="anonymous"></script>