Yengas

import {createStore, bindActionCreators, applyMiddleware} from 'redux'
import {createAction, handleActions} from 'redux-actions'
import thunkMiddleware from 'redux-thunk'
import React from 'react'
import ReactDOM from 'react-dom'
import {Provider, connect} from 'react-redux'

// React classes and rendering...
class MessageApp extends React.Component{
	render(){

Yengas

'use strict';
const https = require("https");
const qs = require("querystring");
const esc = qs.escape;
const crypto = require('crypto');
const HMAC = crypto.createHmac;
class twitter {
	constructor(o) {
		// if (!o || !o.consumer_key || !o.consumer_secret) throw new Error("Missing Paramaters");
		this.id = o.consumer_key;

Yengas

Steam Friends

This is a simple ruby script to create (in adjacent list format) graph networks of a given array of steam users. You can also use this script to find the most common friends of a given group of users.

Examples

Below are some examples of using this script.

Creating a graph network

outputCSV(createNetwork(['yigitcan2', 'Boneslark']), 'output.csv');

Yengas

set STATION="fusionlounge"
IF NOT "%1"=="" (
	set STATION=%1
)
echo "JazzRadio.com - %STATION%"
mpv "http://pub6.jazzradio.com/jr_%STATION%_aacplus?type=.flv" --http-header-fields="User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36","Referer: http://www.jazzradio.com/%STATION%","X-Requested-With: ShockwaveFlash/22.0.0.209","Connection: keep-alive"

Yengas

#include <stdio.h>
#include <stdlib.h>

// O(n) ==> n = length
int linear_search(int value, int* arr, int length){
    for(int i = 0; i < length; i++)
        if(arr[i] == value)
            return 1;
    return 0;
}

Yengas

[{"code": "AF", "cities": ["As\u00e2d\u00e2b\u00e2d", "\u00c2ybak", "Baghl\u00e2n", "Balkh", "B\u00e2m\u00eey\u00e2n", "Chaghchar\u00e2n", "Ch\u00e2r\u00eek\u00e2r", "Far\u00e2h", "Fayz\u00e2b\u00e2d", "Ghardez", "Ghazni", "Her\u00e2t", "Jal\u00e2l\u00e2b\u00e2d", "K\u00e2bul", "Kh\u00e2n\u00e2b\u00e2d", "Khawst", "Kholm", "Lashkar G\u00e2h", "Mahm\u00fbd-e R\u00e2q\u00ee", "Mayd\u00e2nshahr", "Maym\u00e2nah", "Maz\u00e2r-e Shar\u00eef", "Mehtar L\u00e2m", "N\u00fbrist\u00e2n", "Pol-e Alam", "Pol-e Khumri", "Qal\u00b4eh-ye Naw", "Qal\u00e2t-e Ghilzay", "Qandah\u00e2r", "Qund\u00fbz", "Sar-e Pul", "Shibarghan", "T\u00e2loq\u00e2n", "Tar\u00een Kawt", "Zaranj", "Zareh Sharan"], "country": "Afganistan"}, {"code": "AL", "cities": ["Bajram Curri", "Ballsh", "Berat", "Bilisht", "Bulqiz\u00eb", "Burrel", "\u00c7orovod\u00eb", "Delvin\u00eb", "Durr\u00ebs", "Elbasan", "Ersek\u00eb", "Fier", "Gjirokast\u00ebr", "Gramsh", "Kavaj\u00eb", "Koplik", "Kor\u00e7\u00eb", "Kruj\u00eb", "Krum\u00eb", "Ku\u00e7ov\u00eb", "Kuk\u

Yengas

toc.py

This script reads the structure of your git project to create a markdown table of contents. You can use the output of this script to add a TOC to the README of your project.

Example folder structure:

.
├── Test
│   └── README.md
├── Test2
│   ├── README.md

Yengas

#!/bin/bash
IP=10.40.254.2
PORT=1000
SLEEP_TIME=5
USER="USER"
PASSWORD="PASS"
# Color and info
RED='\033[0;31m'
GREEN='\033[0;32m'
CYAN='\033[0;36m'

Yengas

(echo "COPY flat.data (metric, resource, domain, timestamp, longvalue, doublevalue, textvalue) FROM STDIN;"; \
  gzip -dc flat-data-*.csv.gz;) | cqlsh

Yengas

#!/usr/bin/python3.5
import sys
import argparse
import cv2
from math import atan2, cos, sin
import numpy as np

# this class is based on the code of Nghia Ho who first coded it for video files
# and the code of chen jia who added kalman filter for live features.
# see http://nghiaho.com/uploads/videostabKalman.cpp