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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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/*

Batch-Rename Layers -- plugin for Sketch 2 (http://www.bohemiancoding.com/sketch/)

INSTALLATION
------------

Select "Reveal Plugins Folder..." in the "Plugins" menu,
then put this file in the folder that shows up in the Finder.

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# This script adds a "Webclip" shortcut to your homescreen.
# The shortcut can be used to open a web page in full-screen mode,
# or to launch a custom URL (e.g. a third-party app).
# You'll be asked for a title, a URL, and an icon (from your camera roll)

import plistlib
import BaseHTTPServer
import webbrowser
import uuid
from io import BytesIO

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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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# Quick workaround for photos module (Pythonista) not downloading photos from iCloud

import photos
from objc_util import ObjCClass, ObjCInstance, ObjCBlock

def download_cloud_asset(asset):
	PHImageManager = ObjCClass('PHImageManager')
	PHImageRequestOptions = ObjCClass('PHImageRequestOptions')
	ph_asset = ObjCInstance(asset)
	ph_image_mgr = PHImageManager.defaultManager()

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'''
This module provides a Python wrapper around CIImage and CIFilter for using CoreImage filters from Pythonista more easily.

How to use:

1) Create a CImage object. The constructor accepts either a file path, a ui.Image, PIL.Image.Image, or photos.Asset object. Example:

>>> # From a photo:
>>> img = CImage(photos.pick_asset())
>>> # From a ui.Image:

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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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# `motion` module from Pythonista
# This is missing in the current App Store versions (in Pythonista 3.x, it's only missing in Python 2 mode).
# As a temporary workaround, you can put this file in the "site-packages" folder (under "Modules" or "Modules & Templates").

import _motion

shared_manager = _motion.MotionManager()

def start_updates():
	shared_manager.start()

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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)