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# Pythonista script to show the UI Debugging overlay (private API) described in this blog post:
# http://ryanipete.com/blog/ios/swift/objective-c/uidebugginginformationoverlay/

from objc_util import ObjCClass, on_main_thread
UIDebuggingInformationOverlay = ObjCClass('UIDebuggingInformationOverlay')

@on_main_thread
def toggle_overlay():
  UIDebuggingInformationOverlay.prepareDebuggingOverlay()
  UIDebuggingInformationOverlay.overlay().toggleVisibility()

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# Experimental photo picker using the Photos framework via objc_util. Compared to the photos module, this has the advantage of showing all photos, including iCloud photo library. Not very well tested!

from objc_util import *
import threading
from io import BytesIO
from PIL import Image
import sys
import ui 
import ctypes

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# coding: utf-8
from objc_util import ObjCClass
UITextChecker = ObjCClass('UITextChecker')

def check_word(word, lang='en_US'):
	c = UITextChecker.new().autorelease()
	check = c.rangeOfMisspelledWordInString_range_startingAt_wrap_language_
	misspelled_range = check(word, (0, len(word)), 0, False, lang)
	return (misspelled_range.location != 0)

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#!python3
'''
This is a demo of how you can use the CoreML framework (via objc_util) to classify images in Pythonista. It downloads the trained 'MobileNet' CoreML model from the Internet, and uses it to classify images that are either taken with the camera, or picked from the photo library.
'''

import requests
import os
import io
import photos
import dialogs

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# coding: utf-8
'''
NOTE: This requires the latest beta of Pythonista 1.6 (build 160022)

Demo of using Pythonista's own internals to implement an editor view with syntax highlighting (basically the exact same view Pythonista uses itself)

IMPORTANT: This is just for fun -- I was curious if it would work at all, but I don't recommend that you rely on this for anything important. The way Pythonista's internals work can change at any time, and this code is *very* likely to break in the future.
'''

import ui

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# File Transfer for Pythonista
# ============================
# This script allows you to transfer Python files from
# and to Pythonista via local Wifi.
# It starts a basic HTTP server that you can access
# as a web page from your browser.
# When you upload a file that already exists, it is
# renamed automatically.
# From Pythonista's settings, you can add this script
# to the actions menu of the editor for quick access.

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# Example for sending an email with an attached image using smtplib
# 
# IMPORTANT: You need to enter your email login in the main() function.
#            The example is prepared for GMail, but other providers
#            should be possible by changing the mail server.

import smtplib
from email.mime.base import MIMEBase
from email.mime.multipart import MIMEMultipart
from email import encoders

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# IMPORTANT SETUP INSTRUCTIONS:
# 
# 1. Go to http://www.dropbox.com/developers/apps (log in if necessary)
# 2. Select "Create App"
# 3. Select the following settings:
#    * "Dropbox API app"
#    * "Files and datastores"
#    * "(No) My app needs access to files already on Dropbox"
#    * "All file types"
#    * (Choose any app name)

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# YOU NEED TO INSERT YOUR APP KEY AND SECRET BELOW!
# Go to dropbox.com/developers/apps to create an app.

app_key = 'YOUR_APP_KEY'
app_secret = 'YOUR_APP_SECRET'

# access_type can be 'app_folder' or 'dropbox', depending on
# how you registered your app.
access_type = 'app_folder'

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# coding: utf-8
# Barcode scanner demo for Pythonista
# Based on http://www.infragistics.com/community/blogs/torrey-betts/archive/2013/10/10/scanning-barcodes-with-ios-7-objective-c.aspx

from objc_util import *
from ctypes import c_void_p
import ui
import sound

found_codes = set()