Marsel Arduanov arduanov

## JwtUsageExample.cpp
#include "Kismet/GameplayStatics.h"

// ...

// Obtain reference to UXsollaLoginSubsystem object. It is assumed that login subsystem has been already initialized.
UGameInstance* GameInstance = UGameplayStatics::GetGameInstance(this);
UXsollaLoginSubsystem* XsollaLoginSubsystem = GameInstance->GetSubsystem<UXsollaLoginSubsystem>();

// Get "email" value from token youi've received previously from launcher

## full.html


<!DOCTYPE html>
<meta http-equiv="X-UA-Compatible" content="IE=edge"/>


## tsung install
echo "fs.file-max=1048576" >> /etc/sysctl.conf
echo "net.core.rmem_max = 16777216" >> /etc/sysctl.conf
echo "net.core.wmem_max = 16777216" >> /etc/sysctl.conf
echo "net.ipv4.tcp_rmem = 4096 87380 16777216" >> /etc/sysctl.conf
echo "net.ipv4.tcp_wmem = 4096 65536 16777216" >> /etc/sysctl.conf

sysctl -p

echo "* soft nofile 1048576" >> /etc/security/limits.conf
echo "* hard nofile 1048576" >> /etc/security/limits.conf

## gist:ae2f9b30b35a79f0a22b5011563bb8aa
# maximum capability of system
user@ubuntu:~$ cat /proc/sys/fs/file-max
708444

# available limit
user@ubuntu:~$ ulimit -n
1024

# To increase the available limit to say 200000
user@ubuntu:~$ sudo vim /etc/sysctl.conf

## README.md

      
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              June 9, 2018 18:29
                — forked from agnoster/README.md
            
              
                My ZSH Theme
              
          
    agnoster.zsh-theme

A ZSH theme optimized for people who use:

Solarized
Git
Unicode-compatible fonts and terminals (I use iTerm2 + Menlo)

For Mac users, I highly recommend iTerm 2 + Solarized Dark

  
## zap bench
bash-3.2$ go test -bench=.  -benchmem
goos: darwin
goarch: amd64
pkg: go.uber.org/zap/benchmarks
BenchmarkDisabledWithoutFields/Zap-8                        	200000000	         6.81 ns/op	       0 B/op	       0 allocs/op
BenchmarkDisabledWithoutFields/Zap.Check-8                  	200000000	         7.09 ns/op	       0 B/op	       0 allocs/op
BenchmarkDisabledWithoutFields/Zap.Sugar-8                  	100000000	        13.8 ns/op	      16 B/op	       1 allocs/op
BenchmarkDisabledWithoutFields/Zap.SugarFormatting-8         	20000000	        93.1 ns/op	     184 B/op	       7 allocs/op
BenchmarkDisabledWithoutFields/sirupsen/logrus-8             	100000000	        10.8 ns/op	      16 B/op	       1 allocs/op
BenchmarkDisabledWithoutFields/rs/zerolog-8                  	1000000000	         2.38 ns/op	       0 B/op	       0 allocs/op

## gist:1ed5518b5bb0dc9eb7df2b632596aac3
%pyspark

import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import StringIO
import pandas as pd

import os

## hadoop_spark_osx
Source: http://datahugger.org/datascience/setting-up-hadoop-v2-with-spark-v1-on-osx-using-homebrew/

This post builds on the previous setup Hadoop (v1) guide, to explain how to setup a single node Hadoop (v2) cluster with Spark (v1) on OSX (10.9.5).

Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The Apache Hadoop framework is composed of the following core modules:

HDFS (Distributed File System): a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster.
YARN (Yet A

## install.sh
#xcode
xcode-select --install
sudo xcodebuild -license

#homebrew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

#utils
brew install mc wget peco

## restore.php
<?php
if (ini_get('short_open_tag') == 0)
	die('Error: short_open_tag parameter must be turned on in php.ini');
?><?
error_reporting(E_ALL & ~E_NOTICE & ~E_STRICT);

if (getenv('BITRIX_VA_VER'))
	define('VMBITRIX', 'defined');

if (version_compare(phpversion(),'5.3.0','<'))
	#include "Kismet/GameplayStatics.h"

	// ...

	// Obtain reference to UXsollaLoginSubsystem object. It is assumed that login subsystem has been already initialized.
	UGameInstance* GameInstance = UGameplayStatics::GetGameInstance(this);
	UXsollaLoginSubsystem* XsollaLoginSubsystem = GameInstance->GetSubsystem<UXsollaLoginSubsystem>();

	// Get "email" value from token youi've received previously from launcher




	<!DOCTYPE html>
	<meta http-equiv="X-UA-Compatible" content="IE=edge"/>
	echo "fs.file-max=1048576" >> /etc/sysctl.conf
	echo "net.core.rmem_max = 16777216" >> /etc/sysctl.conf
	echo "net.core.wmem_max = 16777216" >> /etc/sysctl.conf
	echo "net.ipv4.tcp_rmem = 4096 87380 16777216" >> /etc/sysctl.conf
	echo "net.ipv4.tcp_wmem = 4096 65536 16777216" >> /etc/sysctl.conf

	sysctl -p

	echo "* soft nofile 1048576" >> /etc/security/limits.conf
	echo "* hard nofile 1048576" >> /etc/security/limits.conf
	# maximum capability of system
	user@ubuntu:~$ cat /proc/sys/fs/file-max
	708444

	# available limit
	user@ubuntu:~$ ulimit -n
	1024

	# To increase the available limit to say 200000
	user@ubuntu:~$ sudo vim /etc/sysctl.conf
	bash-3.2$ go test -bench=. -benchmem
	goos: darwin
	goarch: amd64
	pkg: go.uber.org/zap/benchmarks
	BenchmarkDisabledWithoutFields/Zap-8 200000000 6.81 ns/op 0 B/op 0 allocs/op
	BenchmarkDisabledWithoutFields/Zap.Check-8 200000000 7.09 ns/op 0 B/op 0 allocs/op
	BenchmarkDisabledWithoutFields/Zap.Sugar-8 100000000 13.8 ns/op 16 B/op 1 allocs/op
	BenchmarkDisabledWithoutFields/Zap.SugarFormatting-8 20000000 93.1 ns/op 184 B/op 7 allocs/op
	BenchmarkDisabledWithoutFields/sirupsen/logrus-8 100000000 10.8 ns/op 16 B/op 1 allocs/op
	BenchmarkDisabledWithoutFields/rs/zerolog-8 1000000000 2.38 ns/op 0 B/op 0 allocs/op
	%pyspark

	import matplotlib.pyplot as plt; plt.rcdefaults()
	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib
	import StringIO
	import pandas as pd

	import os
	Source: http://datahugger.org/datascience/setting-up-hadoop-v2-with-spark-v1-on-osx-using-homebrew/

	This post builds on the previous setup Hadoop (v1) guide, to explain how to setup a single node Hadoop (v2) cluster with Spark (v1) on OSX (10.9.5).

	Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. The Apache Hadoop framework is composed of the following core modules:

	HDFS (Distributed File System): a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster.
	YARN (Yet A
	#xcode
	xcode-select --install
	sudo xcodebuild -license

	#homebrew
	/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

	#utils
	brew install mc wget peco
	<?php
	if (ini_get('short_open_tag') == 0)
	die('Error: short_open_tag parameter must be turned on in php.ini');
	?><?
	error_reporting(E_ALL & ~E_NOTICE & ~E_STRICT);

	if (getenv('BITRIX_VA_VER'))
	define('VMBITRIX', 'defined');

	if (version_compare(phpversion(),'5.3.0','<'))