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| turn off auto conversion | |
| defaults write com.pixelmatorteam.pixelmator alwaysUseNativeFormat -bool no | |
| turn off auto save | |
| defaults write com.pixelmatorteam.pixelmator disableAutosave -bool yes |
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| /usr/bin/plutil -convert xml1 -o - ~/Library/Safari/Bookmarks.plist | grep -E -o '<string>http[s]{0,1}://.*</string>' | grep -v icloud | sed -E 's/<\/{0,1}string>//g' |
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| // Thanks to http://www.labs.saachitech.com/2012/10/23/pdf-generation-using-uiprintpagerenderer | |
| // Note: including images in the HTML won't work, see here: | |
| // https://github.com/nyg/HTMLWithImagesToPDF | |
| import UIKit | |
| // 1. Create a print formatter | |
| let html = "<b>Hello <i>World!</i></b>" | |
| let fmt = UIMarkupTextPrintFormatter(markupText: html) |
Ref: https://gist.github.com/vertexclique/9839383
Please use built-in Terminal.app (of Mac OS X) to type and rune the command, do not use another tool (like iTerm2).
Common step after enter run the patch command:
- After run the commands, start new Sublime Text app, go to Main Menu > Help > Enter License. On the popup type in any text (example "a") and click Use Licence .
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| <?php | |
| /** | |
| * @param $http2ch the curl connection | |
| * @param $http2_server the Apple server url | |
| * @param $apple_cert the path to the certificate | |
| * @param $app_bundle_id the app bundle id | |
| * @param $message the payload to send (JSON) | |
| * @param $token the token of the device | |
| * @return mixed the status code (see https://developer.apple.com/library/ios/documentation/NetworkingInternet/Conceptual/RemoteNotificationsPG/Chapters/APNsProviderAPI.html#//apple_ref/doc/uid/TP40008194-CH101-SW18) |
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| console.table((function listAllEventListeners() { | |
| const allElements = Array.prototype.slice.call(document.querySelectorAll('*')); | |
| allElements.push(document); // we also want document events | |
| const types = []; | |
| for (let ev in window) { | |
| if (/^on/.test(ev)) types[types.length] = ev; | |
| } | |
| let elements = []; | |
| for (let i = 0; i < allElements.length; i++) { |
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| import tensorflow as tf #We need tensorflow 2.x | |
| import numpy as np | |
| #The hashlength in bits | |
| hashLength = 256 | |
| def buildModel(): | |
| #we can set the seed to simulate the fact that this network is known and doesn't change between runs | |
| #tf.random.set_seed(42) | |
| model = tf.keras.Sequential() |
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