Create a file called abstract.php and place it in your root Magento folder:
<?php
use \Magento\Framework\AppInterface as AppInterface;
use \Magento\Framework\App\Http as Http;
use Magento\Framework\ObjectManager\ConfigLoaderInterface;
use Magento\Framework\App\Request\Http as RequestHttp;
| # CLI | |
| sudo apt update -y | |
| sudo apt install -y \ | |
| git curl btop \ | |
| docker.io docker-buildx \ | |
| build-essential pkg-config autoconf bison rustc cargo clang \ | |
| libssl-dev libreadline-dev zlib1g-dev libyaml-dev libreadline-dev libncurses5-dev libffi-dev libgdbm-dev libjemalloc2 \ | |
| libvips imagemagick libmagickwand-dev mupdf mupdf-tools \ | |
| redis-tools sqlite3 libsqlite3-0 libmysqlclient-dev \ | |
| rbenv apache2-utils |
Let's say you want to access the application shared preferences in /data/data/com.mypackage.
You could try to run adb shell and then run-as com.mypackage
( or adb shell run-as com.mypackge ls /data/data/com.mypackage/shared_prefs),
but on a production release app downloaded from an app store you're most likely to see:
run-as: Package 'com.mypackage' is not debuggable
Tools:
https://github.com/patrickfav/uber-apk-signer
https://github.com/iBotPeaches/Apktool
How:
apktool d app-release.apk -o extracted_apk
| // ДЕМО: https://codepen.io/vtboren/pen/ZdGRXp | |
| // Подключаем скрипт маски https://unmanner.github.io/imaskjs/ | |
| // Функция маски | |
| // Работает сразу на все поля с типом поля tel | |
| function initPhoneMask() { | |
| $('input[type=tel]').each(function(index, element) { | |
| var mask = IMask(element, { | |
| mask: [ |
| const fs = require('fs'); | |
| const path = require('path'); | |
| const { execSync } = require('child_process'); | |
| function copyFolderSync(source, destination, excludeDirs) { | |
| if (!fs.existsSync(destination)) { | |
| fs.mkdirSync(destination, { recursive: true }); | |
| } | |
| const items = fs.readdirSync(source, { withFileTypes: true }); |
| const cache = {} | |
| export default function useGlobalMemo (key, fn, deps) { | |
| if (!cache[key]) { | |
| cache[key] = { | |
| subs: 0, | |
| deps, | |
| value: fn(), | |
| } |
Your company's GPU computing strategy is essential whether you engage in 3D visualization, machine learning, AI, or any other form of intensive computing.
There was a time when businesses had to wait for long periods of time while deep learning models were being trained and processed. Because it was time-consuming, costly, and created space and organization problems, it reduced their output.
This problem has been resolved in the most recent GPU designs. Because of their high parallel processing efficiency, they are well-suited for handling large calculations and speeding up the training of your AI models.
When it comes to deep learning, GPUs can speed up the training of neural networks by a factor of 250 compared to CPUs, and the latest generation of cloud GPUs is reshaping data science and other emerging technologies by delivering even greater performance at a lower cost and with the added benefits of easy scalability and rapid deployment.
| # PowerView's last major overhaul is detailed here: http://www.harmj0y.net/blog/powershell/make-powerview-great-again/ | |
| # tricks for the 'old' PowerView are at https://gist.github.com/HarmJ0y/3328d954607d71362e3c | |
| # the most up-to-date version of PowerView will always be in the dev branch of PowerSploit: | |
| # https://github.com/PowerShellMafia/PowerSploit/blob/dev/Recon/PowerView.ps1 | |
| # New function naming schema: | |
| # Verbs: | |
| # Get : retrieve full raw data sets | |
| # Find : ‘find’ specific data entries in a data set |
| #include <BleGamepad.h> | |
| BleGamepad bleGamepad; | |
| int btn_last = 0; | |
| int btn_pin = 4; | |
| int poti_pin = 34; | |
| int con = 0; | |
| void setup() | |
| { |