ulrischa

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

ulrischa

<?php




echo 'hallo';
?>

ulrischa

<?
$iterator = new RecursiveDirectoryIterator ('rootdir');
$wrapper = new RecursiveIteratorIterator ($iterator, RecursiveIteratorIterator::SELF_FIRST);
foreach ($wrapper as $elem) {
echo $elem->getFilename ();
}
?>

ulrischa

$target_dir = "pic/";
$target_file = $target_dir . 'ndvi.jpg';
$uploadOk = 1;
$imageFileType = strtolower(pathinfo($target_file,PATHINFO_EXTENSION));

// Check if image file is a actual image or fake image
if(isset($_POST["submit"])) {
  $check = getimagesize($_FILES["fileToUpload"]["tmp_name"]);
  if($check !== false) {
	echo "File is an image - " . $check["mime"] . ".";

ulrischa

# Rename this distribution example file to motion.conf
#
# This config file was generated by motion 4.1.1
# Documentation:  /usr/share/doc/motion/motion_guide.html

############################################################
# Daemon
############################################################

# Start in daemon (background) mode and release terminal (default: off)

ulrischa

#!/usr/bin/python
import yagmail
import sys

#initializing the server connection
yag = yagmail.SMTP(user='sender@sender', password='xxx')
#sending the email
yag.send(to='to@to', subject='Motion detected', contents=['Motion', sys.argv[1]])
print("Email sent successfully")

ulrischa

import mysql.connector

def save_enviro_data_in_db(vals):
    print ("save db")
    try:
        mydb = mysql.connector.connect(
            host="",
            user="",
            password="",
            database="",

ulrischa

class WebCrawler {
    private const CURL_OPTIONS = array(
        CURLOPT_RETURNTRANSFER => true,
        CURLOPT_FOLLOWLOCATION => true,
        CURLOPT_SSL_VERIFYHOST => 2,
        CURLOPT_SSL_VERIFYPEER => true,
        CURLOPT_CAINFO => "/path/to/cert.pem" // hier den Pfad zum Zertifikat eintragen
    );

    private $visited_links = [];

ulrischa

import numpy as np

# Eingabedaten
X = np.array([[0, 0, 1],
              [0, 1, 1],
              [1, 0, 1],
              [1, 1, 1]])

# Erwartete Ausgabedaten
y = np.array([[0],

ulrischa

<?php

function didYouMean($query, $suggestions) {
    $querySoundex = soundex($query);
    $similarSuggestions = [];

    foreach ($suggestions as $suggestion) {
        if (soundex($suggestion) == $querySoundex) {
            $similarSuggestions[] = $suggestion;
        }