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npm install -g npm@latest

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#!/bin/bash
apt install -y ca-certificates curl gnupg lsb-release
curl -fsSL https://download.docker.com/linux/debian/gpg | gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/debian \
  $(lsb_release -cs) stable" | tee /etc/apt/sources.list.d/docker.list > /dev/null

apt update
apt install -y docker-ce-cli

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#!/bin/bash
filename=secrets.dat
megs=20
loop=/dev/loop0
mount_point=./secrets_map

create() {
        losetup -d $loop
        fallocate -l ${megs}M $filename
        losetup $loop $filename

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wget https://github.com/sharkdp/bat/releases/download/v0.11.0/bat_0.11.0_amd64.deb
sudo apt install gdebi
sudo gdebi bat_0.11.0_amd64.deb

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-v /var/run/docker.sock:/var/run/docker.sock

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sudo apt install -y --reinstall virtualbox-guest-x11
# Then reboot

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dig @8.8.8.8 ns slashdot.org

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REM For new versions check out the grid at https://www.tensorflow.org/install/source_windows#gpu
conda create -n tf python=3.8.7
REM Or to upgrade: conda install -c anaconda python=3.8
conda install -y -c anaconda tensorflow-gpu==2.5.0
conda install -y jupyter seaborn matplotlib numpy keras-gpu pandas tqdm tensorflow_addons
conda install -y -c conda-forge ipywidgets
conda install -y jupyterlab
jupyter labextension install @jupyter-widgets/jupyterlab-manager
conda install -y -c conda-forge matplotlib
conda install -y -c conda-forge keras

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# https://stackoverflow.com/questions/46299727/flatten-xml-document-in-java
from org.w3c.dom import Document
from org.w3c.dom import Node
from org.xml.sax import InputSource
from java.io import StringReader
from java.util import Properties
from javax.xml.parsers import DocumentBuilder
from javax.xml.parsers import DocumentBuilderFactory