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#!/bin/bash
git clone git@github.com:opencv/opencv.git
cd opencv
git checkout 3.3.0
python platforms/ios/build_framework.py ios \
  --dynamic \
  --without imgcodec --without videoio --without video --without calib3d --without features2d \
  --without objdetect --without dnn --without ml --without flann --without photo --without stitching \
  --without cudaarithm --without cudabgsegm --without cudacodec --without cudafeatures2d \
  --without cudafilters --without cudaimgproc --without cudalegacy --without cudaobjdetect \

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Extension:

import Foundation
import UIKit

extension UIColor {
    convenience init(hexString: String) {
        let hex = hexString.trimmingCharacters(in: CharacterSet.alphanumerics.inverted)
        var int = UInt32()
 Scanner(string: hex).scanHexInt32(&int)

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func generateRandomColor() -> UIColor {
  let hue : CGFloat = CGFloat(arc4random() % 256) / 256 // use 256 to get full range from 0.0 to 1.0
  let saturation : CGFloat = CGFloat(arc4random() % 128) / 256 + 0.5 // from 0.5 to 1.0 to stay away from white
  let brightness : CGFloat = CGFloat(arc4random() % 128) / 256 + 0.5 // from 0.5 to 1.0 to stay away from black
        
  return UIColor(hue: hue, saturation: saturation, brightness: brightness, alpha: 1)
}

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/*
 Copyright (c) 2011-present, NimbusKit. All rights reserved.

 This source code is licensed under the BSD-style license found at http://nimbuskit.info/license
 Extracted from NimbusKit: Swift Edition at https://github.com/nimbuskit/swift
 */

extension NSNotificationCenter {

  /**

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title	sidebar
Segment Event Tracking for Shopify	Shopify

Segment makes it simple for Shopify merchants to integrate analytics, email marketing, advertising and optimization tools. Rather than installing all your tools individually, you just install Segment once. We collect your data, translate it, and route it to any tool you want to use with the flick of a switch. Using Segment as the single platform to manage and install your third-party services will save you time and money.

The guide below explains how to install Segment in your Shopify store. All you need to get up and running is copy and paste a few snippets of code into your theme editor. (You don't have to edit the code or be versed in JavaScript.) The following guide will show you how, step by step.

---

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Pod::Spec.new do |s|
  s.name     = 'POD_NAME'
  s.version  = '1.0.0'
  s.license  = { :type => 'MIT', :file => 'LICENSE' }
  s.summary  = 'Example of pod which installs a run script into the Xcode project (first target)'
  s.homepage = 'https://github.com/phatblat/POD_NAME'
  s.authors  = { 'Ben Chatelain' => 'benchatelain@gmail.com' }
  s.source   = { :git => 'https://github.com/phatblat/POD_NAME.git', :tag => s.version.to_s }

  s.ios.deployment_target = '6.0'

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@echo off

rem configurable parameters
set SCREENCAP_FILE_PREFIX=screenshot

rem the dir on the device where the screenshot will be stored temporarily
set SCREENCAP_WORKING_DIR=/sdcard/

rem adb path, leave blank if adb is already on the user or system path
set SCREENCAP_ADB_PATH=

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#!/bin/bash

#set these in your environment/profile (NOT HERE)
AWS_ACCESS_KEY="" 
AWS_SECRET_KEY=""

function s3get {
	#helper functions
	function fail {	echo "$1" > /dev/stderr; exit 1; }
	#dependency check

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# You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine
# This is how I upload my new Sol Trader builds (http://soltrader.net)
# Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash

S3KEY="my aws key"
S3SECRET="my aws secret" # pass these in

function putS3
{
  path=$1

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#!/usr/bin/python

from plistlib import readPlist as read_plist
from subprocess import check_output
import socket
import json
from datetime import datetime
import os

# Export your version of these for testing the script from the console directly: