chanks

# Stick the following in an initializer.

module Heroku
  class StaticAssetsMiddleware
    def cache_static_asset(reply)
      return reply unless can_cache?(reply)

      status, headers, response = reply

      headers['Cache-Control'] = 'public, max-age=31556926' # 1 year

ankitspd

import Foundation

public func getASTString() -> String {
    
    // get the file path for the file "test.json" in the playground bundle
    // let filePath = NSBundle.mainBundle().pathForResource("FirstTtest", ofType: "ast")
    
    // get the contentData
    let contentData = NSFileManager.defaultManager().contentsAtPath("a.txt")
    

AlamofireSoftwareFoundation

Last week, a number of publications ran a story about 1,000's of apps allegedly being vulnerable due to an SSL bug in AFNetworking. These articles contain a number of inaccurate and misleading statements on this matter.

We are publishing this response to clarify and correct these statements.

Background Information

For those not familiar with AFNetworking, here are some relevant details about the library for this story:

• AFNetworking is an open source, third-party library that provides convenience functionality on top of Apple's built-in frameworks.
• One component of AFNetworking is AFSecurityPolicy, which handles authentication challenges according to a policy configured by the application. This includes the evaluation of X.509 certificates which servers send back when connecting over HTTPS.

iconstate

sudo apt-get update

sudo apt-get install build-essential git\
cmake python-dev cython swig \
libusb-1.0 \
automake autoconf libtool \
libgnutls-dev libglib2.0-dev libxml2-dev libreadline-dev

echo "Building libplist..."
git clone http://cgit.sukimashita.com/libplist.git/

abeppu

var Twit = require("twit");
var config = require('./oauthconfig'); 

console.log("config:");
console.log(config);

var T = new Twit({
    consumer_key:  config.consumer_key,
    consumer_secret: config.consumer_secret,
    access_token: config.access_token,

anthonywu

function pdf_join {
  join_py="/System/Library/Automator/Combine PDF Pages.action/Contents/Resources/join.py"
  read -p "Name of output file > " output_file && "$join_py" -o $output_file $@ && open $output_file
}

arvearve

Mathematics: What do grad students in math do all day?

by Yasha Berchenko-Kogan

A lot of math grad school is reading books and papers and trying to understand what's going on. The difficulty is that reading math is not like reading a mystery thriller, and it's not even like reading a history book or a New York Times article.

The main issue is that, by the time you get to the frontiers of math, the words to describe the concepts don't really exist yet. Communicating these ideas is a bit like trying to explain a vacuum cleaner to someone who has never seen one, except you're only allowed to use words that are four letters long or shorter.

What can you say?

jspahrsummers

/// Observes a run loop to detect any stalling or blocking that occurs.
///
/// This class is thread-safe.
@interface GHRunLoopWatchdog : NSObject

/// Initializes the receiver to watch the specified run loop, using a default
/// stalling threshold.
- (id)initWithRunLoop:(CFRunLoopRef)runLoop;

/// Initializes the receiver to detect when the specified run loop blocks for

christiangenco

require 'http'
require 'json'
require 'peach'
require 'gabbler'
require 'pry'

USERNAME = "patio11"

unless File.exists?("comments.txt")
  def get_json(url)

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs