fengdragon

func createGIF(with images: [UIImage], loopCount: Int = 0, frameDelay: Double, callback: (data: NSData?, error: NSError?) -> ()) {
    let fileProperties = [kCGImagePropertyGIFDictionary as String: [kCGImagePropertyGIFLoopCount as String: loopCount]]
    let frameProperties = [kCGImagePropertyGIFDictionary as String: [kCGImagePropertyGIFDelayTime as String: frameDelay]]
    
    let documentsDirectory = NSTemporaryDirectory()
    let url = NSURL(fileURLWithPath: documentsDirectory)?.URLByAppendingPathComponent("animated.gif")
    
    if let url = url {
        let destination = CGImageDestinationCreateWithURL(url, kUTTypeGIF, UInt(images.count), nil)
        CGImageDestinationSetProperties(destination, fileProperties)

fengdragon

<?php
define('APP_PATH', dirname(__FILE__));
define('DATA_FILE', APP_PATH. '/sms.htdata');

if ($_SERVER['REQUEST_METHOD'] == 'POST') { //tasker提交
    if (!isset($_POST['c'])) {
        die('Invalid Request!');
    } else {
        $data = '';
        if (file_exists(DATA_FILE)) { //读入已有数据

fengdragon

// Compile list of tokens based on deletions, and respecting max edit distance
// Original implementation would concatenate left/right string segments using memcpy() etc, but that didn't seem right
// The idea is, to instead partition S into 1+ segments and build hash from them, no need for memory copies etc.
// This is almost x8 times faster compared to that - but it's still in the 10s of microseconds range.
//
// ( for a 31 characters long string, with max edit distance = 2, it takes 24 microseconds, including the cost for computing the FNV rolling hash )
#include <switch.h>
#include <switch_print.h>
#include <ansifmt.h>

fengdragon

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