cybercase

/*
# A Mac Automation Script to run OpenAI GPTs over selected text.

Copy this script into your home directory, then:
1. Set the OPENAI_API_KEY variable in the script
2. Open the Automator app on your Mac and Create a new "Quick Action" workflow.
3. Set the workflow to receive "text" in "any application".
4. Add a "Run Shell Script" action.
5. Copy and paste the following command into the script box:
  cat ~/gptactions.js | osascript -l JavaScript - $(cat)

cybercase

class CustomWindow: NSWindow {
    override init(contentRect: NSRect, styleMask style: NSWindow.StyleMask, backing backingStoreType: NSWindow.BackingStoreType, defer flag: Bool) {
        super.init(contentRect: contentRect, styleMask: style, backing: backingStoreType, defer: flag)
    }

    override func makeFirstResponder(_ responder: NSResponder?) -> Bool {
        self.printResponderChain(responder)
        return super.makeFirstResponder(responder)
    }

cybercase

//
//  Prop.swift
//  GQLC
//
//  Created by Stefano Brilli on 01/08/2017.
//  Copyright © 2017 Stefano Brilli. All rights reserved.
//

import Cocoa

cybercase

docker ps -a | cut -c-12 | xargs docker rm

cybercase

function product() {
  var args = Array.prototype.slice.call(arguments); // makes array from arguments
  return args.reduce(function tl (accumulator, value) {
    var tmp = [];
    accumulator.forEach(function (a0) {
      value.forEach(function (a1) {
        tmp.push(a0.concat(a1));
      });
    });
    return tmp;

cybercase

// Original: http://stackoverflow.com/questions/610406/javascript-equivalent-to-printf-string-format
// Edited: cybercase

if (!String.prototype.format) {
  String.prototype.format = function(dict) {
    return this.replace(/{(\w+)}/g, function(match, key) {
      return typeof dict[key] !== 'undefined'
        ? dict[key]
        : match
      ;

cybercase

#!/usr/bin/env python
# -*- coding:utf8 -*-
import random
import socket
import struct
import StringIO
import argparse
from collections import namedtuple

MAX_PACKET_SIZE = 512

cybercase

import logging
l = logging.getLogger('django.db.backends')
l.setLevel(logging.DEBUG)
l.addHandler(logging.StreamHandler())