4poc

var fs     = require('fs'),
    util   = require('util'),
    Stream = require('stream').Stream;

/**
 * Create a bandwidth limited stream
 *
 * This is a read+writeable stream that can limit how fast it
 * is written onto by emitting pause and resume events to
 * maintain a specified bandwidth limit, that limit can

klmr

#ifndef UTIL_LANG_RANGE_HPP
#define UTIL_LANG_RANGE_HPP

#include <iterator>

namespace util { namespace lang {

namespace detail {

template <typename T>

chrisguitarguy

package main

import (
	"bufio"
	"container/list"
	"flag"
	"fmt"
	"net/http"
	"io"
	"os"

juandopazo

module Y {
    
        interface Anim extends Base { 
            
            
        }
    
        interface App extends App_Base, App_Content, App_Transitions, PjaxContent { 
            (config?: any);
            

klmr

#ifndef TEXT_STRING_HPP
#define TEXT_STRING_HPP

#include <algorithm>
#include <cstring>
#include <iterator>
#include <memory>
#include <iosfwd>

namespace text {

nicdaCosta

/*
	Grep.js
	Author	: Nic da Costa ( @nic_daCosta )
        Created : 2012/11/14
	Version	: 0.2
	(c) Nic da Costa
	License : MIT, GPL licenses

	Overview:
	Basic function that searches / filters any object or function and returns matched properties.

klmr

enum class dna_strand : char {
    positive = '+',
    negative = '-'
};

std::ostream& operator <<(std::ostream& out, dna_strand strand) {
    return out << static_cast<char>(strand);
}

std::istream& operator >>(std::istream& in, dna_strand& strand) {

briandoll

To toast:

• Make sure you have ImageMagick installed (brew install imagemagick)
• Change line 7 of toast.rb to the repository name you're working with
• toast!

$ bundle install
$ ./get_token [user] [pass]
$ export GHUSER=[myuser]

klmr

template <typename Source>
struct auto_cast_helper {
    Source const& value;

    explicit auto_cast_helper(Source const& value) : value(value) { }

    template <typename Target>
    operator Target() const {
        return static_cast<Target>(value);
    }

christianroman

import cv2.cv as cv
import tesseract
gray = cv.LoadImage('captcha.jpeg', cv.CV_LOAD_IMAGE_GRAYSCALE)
cv.Threshold(gray, gray, 231, 255, cv.CV_THRESH_BINARY)
api = tesseract.TessBaseAPI()
api.Init(".","eng",tesseract.OEM_DEFAULT)
api.SetVariable("tessedit_char_whitelist", "0123456789abcdefghijklmnopqrstuvwxyz")
api.SetPageSegMode(tesseract.PSM_SINGLE_WORD)
tesseract.SetCvImage(gray,api)
print api.GetUTF8Text()