Yusu Pan corenel

Recovering deleted files in Ubuntu with ext4 filesystem

Recently, I deleted some files by mistake in a Ubuntu machine with an ext4 fs. These notes document the steps I took to get them back.

this procedure assumes that the partition that contained the deleted files is different from the root partition, as that was the scenario with which I had to deal (deleted files were in my home dir). The procedure needs that the partition that contained the files is unmounted, so if the deleted files were in the root partition, the process would be a bit different (e.g. storing the fs journal in a USB stick, using a live CD/USB to boot and issue the commands, etc.)
if something is not clear, you need more information, etc. check the sources below

With that out the way, let's begin.

Just some notes and references for myself.

In bash, you can access your C:\ drive via /mnt/c/
~ = C:\Users\MLM\AppData\Local\lxss\home\mlm and is different from your Windows user directory C:\Users\MLM

	import requests
	import argparse
	import os
	import re
	import json
	import mutagen
	import base64
	from mutagen import easyid3
	import sys
	from Crypto.Cipher import AES

	#!/usr/bin/env python

	"""Simple HTTP Server With Upload.
	This module builds on BaseHTTPServer by implementing the standard GET
	and HEAD requests in a fairly straightforward manner.
	"""


	__version__ = "0.1"
	__all__ = ["SimpleHTTPRequestHandler"]

	import argparse
	import os
	import shutil
	import time

	import torch
	import torch.nn as nn
	import torch.nn.parallel
	import torch.backends.cudnn as cudnn
	import torch.optim

	#!/bin/bash
	# save as /root/del_user.sh

	USERNAME=$1
	if [[ -z "$USERNAME" ]]; then
	echo "Please give me a username"
	exit 1
	fi

	echo "This script will"

	#!/bin/bash
	#
	# EDIT: this script is outdated, please see https://forums.developer.nvidia.com/t/pytorch-for-jetson-nano-version-1-6-0-now-available
	#
	sudo apt-get install python-pip

	# upgrade pip
	pip install -U pip
	pip --version
	# pip 9.0.1 from /home/ubuntu/.local/lib/python2.7/site-packages (python 2.7)

	#NoEnv ; Recommended for performance and compatibility with future AutoHotkey releases.
	; #Warn ; Enable warnings to assist with detecting common errors.
	SendMode Input ; Recommended for new scripts due to its superior speed and reliability.
	SetWorkingDir %A_ScriptDir% ; Ensures a consistent starting directory.

	LCtrl & Tab:: AltTab
	!Tab:: Send ^{Tab}
	!+Tab:: Send ^+{Tab}

	^Space:: Send ^{Esc}

	"""
	Create train, valid, test iterators for CIFAR-10 [1].
	Easily extended to MNIST, CIFAR-100 and Imagenet.

	[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
	"""

	import torch
	import numpy as np

	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<!-- Launch Daemon do not always have access to all the path variables
	As a results, scripts will sometimes fail if the you are using path variables inside them
	To enable the script to have access to all path variables, open up a terminal and type in -->
	<!-- echo $PATH -->
	<!-- You can opt to filter out some of the path variables which are not required by script-->
	<key>EnvironmentVariables</key>