EyalAr

#!/usr/bin/env bash

#https://gist.github.com/EyalAr/67791f51fce51ed55594

COLLECTIONS=()
HOST="127.0.0.1"
PORT="27017"
DB=

if [ -n "$1" -a "$1" = "--help" ]

EyalAr

from subprocess import Popen, PIPE
from time import sleep

# run the shell as a subprocess:
p = Popen(['python', 'shell.py'],
        stdin = PIPE, stdout = PIPE, stderr = PIPE, shell = False)
# issue command:
p.stdin.write('command\n')
# let the shell output the result:
sleep(0.1)

EyalAr

#include "opencv2/opencv.hpp"
#include "opencv2/highgui/highgui.hpp"

using namespace cv;

int main(int argc, char** argv) {
    
    //create a gui window:
    namedWindow("Output",1);
    

EyalAr

import sublime, sublime_plugin, re

class CountWordsInSelectionCommand(sublime_plugin.EventListener):

    def on_selection_modified(self, view):
        '''
        listen to event 'on_selection_modified' and count words in all selected
        regions when invoked.
        '''

EyalAr

<?php

define('AWS_KEY','YOUR_AWS_KEY_HERE');
define('AWS_SECRET','YOUR_AWS_SECRET_HERE');

require_once('AWSSDKforPHP/sdk.class.php');
require_once('AWSSDKforPHP/extensions/s3streamwrapper.class.php');

$s3 = new AmazonS3(array(
    'key' => AWS_KEY,

EyalAr

/**
 * Java Generics, Wildcards and Bounded Wildcards.
 * 
 * ...Can be confusing. Here's a small explanation + examples.
 */

import java.util.LinkedList;
import java.util.List;

/**

EyalAr

% Extract the eigen-faces of a set of face images.

start_index = 1;
end_index   = 10;
base_name   = '';
extension   = '.jpg';
in_dir      = 'in';
out_dir     = 'ef';

images = [];

EyalAr

#define PERSON_LABEL = 10 //some arbitrary label

//LBPH face recognizer parameters:
#define RADIUS    1
#define NEIGHBORS 8
#define GRID_X    8
#define GRID_Y    8
#define THRESHOLD 130.0

//create a LBPH face recognizer model:

EyalAr

class CsvWriter {
public:
    CsvWriter(const string &csvPath);
    virtual ~CsvWriter();
    void nextLine();
    void addEntry(const string &s);
private:
    ofstream _fs;
    bool _isFirstEntry;
};

EyalAr

MDN recommends NOT to use labels in Javascript, and instead use exceptions or functions. But turns out labels are the fastest, closely followed by named functions.

Test case: Run two nested loops. The inner loop needs to continue the outer loop upon some condition.

Tests:

0. Using named loops with labels.