Ilya Baryshnikov lucidyan

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare [email protected]:usi-systems/easytrace.git

Исходные данные: роутер имеет адрес 192.168.1.1, tor и i2pd подняты на 192.168.1.10 (если роутер достаточно мощный, можно поднять их прямо на нём, соответственно скорректировав адреса)

В LEDE для загрузки списка заблокированных доменов проще всего использовать поставляемую по умолчанию утилиту uclient-fetch. Необходимо лишь добавить ей поддержку SSL:

opkg update
opkg install libustream-mbedtls

Впрочем, вы можете использовать wget или curl, если предпочитаете. Особенности wget см. ниже.

*2vec papers

act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
apk2vec https://arxiv.org/abs/1809.05693
app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
ast2vec https://arxiv.org/abs/2103.11614
attribute2vec https://arxiv.org/abs/2004.01375
author2vec http://dl.acm.org/citation.cfm?id=2889382
baller2vec https://arxiv.org/abs/2102.03291
bb2vec https://arxiv.org/abs/1809.09621

INSTALLATION OF GRAPH-TOOL FROM SOURCE

System

OS : Ubuntu 14.04.1 LTS Desktop 64-bit (http://www.ubuntu.com/download/alternative-downloads#external)
Python Distribution : Anaconda Python (https://store.continuum.io/cshop/anaconda/)

If you have gcc > 5.0 installed on your server you can use my anaconda package which I compiled with openmp and boost 1.60: just use conda install graph-tool -c floriangeigl -c msarahan -c conda-forge -c bioconda -c ostrokach -c vgauthier -c salford_systems to install it.

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

	# A simple cheat sheet of Spark Dataframe syntax
	# Current for Spark 1.6.1

	# import statements
	from pyspark.sql import SQLContext
	from pyspark.sql.types import *
	from pyspark.sql.functions import *

	#creating dataframes
	df = sqlContext.createDataFrame([(1, 4), (2, 5), (3, 6)], ["A", "B"]) # from manual data

	require 'formula'

	class GraphTool < Formula
	homepage 'http://graph-tool.skewed.de/'
	url 'http://downloads.skewed.de/graph-tool/graph-tool-2.2.31.tar.bz2'
	sha1 '5e0b1c215ecd76191a82c745df0fac17e33bfb09'
	head 'https://github.com/count0/graph-tool.git'

	depends_on 'pkg-config' => :build
	depends_on 'boost' => 'c++11'

	[MASTER]

	# Specify a configuration file.
	#rcfile=

	# Python code to execute, usually for sys.path manipulation such as
	# pygtk.require().
	#init-hook=

	# Profiled execution.

	set langmap=ёйцукенгшщзхъфывапролджэячсмитьбюЁЙЦУКЕНГШЩЗХЪФЫВАПРОЛДЖЭЯЧСМИТЬБЮ;`qwertyuiop[]asdfghjkl\\;'zxcvbnm\\,.~QWERTYUIOP{}ASDFGHJKL:\\"ZXCVBNM<>

	nmap Ж :
	" yank
	nmap Н Y
	nmap з p
	nmap ф a
	nmap щ o
	nmap г u
	nmap З P

	from time import sleep
	from tornado.httpserver import HTTPServer
	from tornado.ioloop import IOLoop
	from tornado.web import Application, asynchronous, RequestHandler
	from multiprocessing.pool import ThreadPool

	_workers = ThreadPool(10)

	def run_background(func, callback, args=(), kwds={}):
	def _callback(result):