Article directory
Installation Environment
VirtualBox7.0+ubuntu-22.04+conda 23 (including jupyter notebook installation and debugging) integrated environment
Record purpose
The relevant steps of the installation environment configuration used in the configuration process of the intelligent AI agent project SFighterAI project and the problem outcome.
VirtualBox7.0 installation and configuration
For the installation process, please refer to:
VirtualBox installation Ubuntu20.04 graphic tutorial
is the most complete ubuntu-Anaconda source replacement problem/restoring the default source, one article is enough
VBox enhanced function installation and shared folder configuration
VBox Enhancements Installation
Select the device at the top of the virtual machine - assign the optical drive, load the virtual disk: VBoxLinuxAdditions.iso, and execute the installation enhancement function to install.
When the enhanced function (VBoxLinuxAdditions) cannot be installed normally after loading the CD, you can enter the file directory of the CD, ctrl+shift+T to open teminal, and execute:
sudo sh VBoxLinuxAdditions.run
Installing:
If the minimum installation is used, there will be problems with dependencies, prompting the need to install: gcc make perl,
installation method:
ctrl+alt++T, open the terminal, execute the following code:
sudo apt-get install gcc make perl -y
reboot
#systemctl reboot //reboot无效时执行
#systemctl default or exit
After normal installation, enable the shared clipboard (two-way), drag and drop (two-way), to facilitate the sharing operation between the virtual machine and the host.
root when done.
Create a shared folder
First, the host (this machine is windows11) creates a shared folder and opens the sharing permission.
Create a shared folder on the virtual machine side:
Select the name of the shared folder created on the host side, automatically mount + fixed allocation, and make related settings:
At this point, you should be able to see the contents of the shared folder:
additional materials:
Install Anaconda + Jupyter Notebook + Python + R in Ubuntu system
Replace system source
Run in the terminal:
sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak #Backup
sudo gedit /etc/apt/sources.list #Modify
# 阿里云源
deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
# 清华大学源
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal main restricted universe multiverse
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-security main restricted universe multiverse
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-security main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-updates main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-backports main restricted universe multiverse
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-backports main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-proposed main restricted universe multiverse
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-proposed main restricted universe multiverse
Source update:
$ sudo apt-get update
ubuntu system and software update.
$ sudo apt-get upgrade
anaconda installation
Download the installation package: 64-Bit (x86) Installer (860 MB)
Create a new folder named anaconda in the main directory, and put the downloaded file in this folder, such as:
/home/testlinux/anaconda
right click Click the folder, click to open in the terminal,
execute
bash Anaconda3-2023.03-Linux-x86_64.sh
enter until the input option appears, enter yes, ****, yes
enter enter, confirm the installation directory, start the installation,
Do you wish the installer to initialize Anaconda3
by running conda init?
Enter yes
and wait for the installation to complete.
Add the bin path to the system path variable
echo 'export PATH="/home/testlinux/anaconda3/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc
is now in the anaconda3 folder of the anaconda installation directory, enter conda list in the terminal, you can see to the package installed by anaconda.
increase source
conda config --show channels #View existing mirrors
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ #Add Tsinghua source
conda config --set show_channel_urls yes #Display the url of the channel when installing the package from the channel, so that you can know the installation source of the package. You can
refer to:
The most complete ubuntu-Anaconda source replacement problem/restoring the default source, one article is enough for
ubuntu to replace the system software source and pip source
conda config --add channels http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/fastai/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
If you want to delete:
conda config --remove channels https://pypi.tuna.tsinghua.edu.cn/simple/
Open the anconda prompt and enter conda clean -i `
to clear the index cache and ensure that the index provided by the mirror site is used.
You can try to change the .condarc file. If the root user logs in to Linux, then this file is in "/root/", if it is another user, it is in "/home/username/" (it may be hidden, press Ctrl+h to display it); windows is in "C: \Users\Username".
Change to (remove - and defaults):
vi ~/.condarc
channels:
- https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
- https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- defaults
show_channel_urls: true
Update conda and install Python environment
conda update --name base conda
Verify and view configuration
conda config --show channels #Verify whether the configuration is successful
Configure and activate the environment
conda create -n StreetFighterAI python=3.8.10
activate command
Windows: conda init <SHELL_NAME>
SHELL_NAME is replaced by the current shell name, such as Windows is generally conda init cmd
Linux: generally source activate
conda activate StreetFighterAI
update pip source
Original link: ubuntu replace pip source
temporarily use
pip3 install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple
pip3 install jupyter_contrib_nbextensions -i https://pypi.tuna.tsinghua.edu.cn/simple
replace pip source
Tsinghua: https://pypi.tuna.tsinghua.edu.cn/simple
Alibaba Cloud: https://mirrors.aliyun.com/pypi/simple
enter configuration (if not, create a new one first)
$ sudo mkdir ~/ pip
$ sudo gedit ~/pip/pip.conf
modify the content as follows:
[global]
index-url = https://mirrors.aliyun.com/pypi/simple
[install]
trusted-host=mirrors.aliyun.com
Unable to write pip.conf error resolution
You can check the buftype settings with the following names. When buftype=nofile, the file cannot be saved. Only when buftype=null, it can be saved.
:verbose set buftype
1
The method of modifying buftype: switch vim to ex mode, input
:setlocal buftype=
1
If you want to return to the original setting, you can use the following command:
:setlocal buftype=nofile
1
Jupyter Notebook installation and configuration
install jupyter notebook
Execute four commands in sequence, the third command is to set the password
conda install jupyter notebook -y
jupyter notebook --generate-config
jupyter notebook password
password: set by yourself
[NotebookPasswordApp] Wrote hashed password to /home/testlinux/.jupyter/jupyter_notebook_config.json
Login without password
Edit jupyter_notebook_config.py:
cd ~/.jupyter/
gedit jupyter_notebook_config.py
Assign c.NotebookApp.token to a null value, ie:
c.NotebookApp.token = ''
Install ipykernel
conda install ipykernel -y
python -m ipykernel install --user --name StreetFighterAI --display-name StreetFighterAI
Run Jupyter Notebook
Run:
$ The jupyter notebook
browser opens:
http://localhost:8888/
Enter the password to enter the environment normally.
Test code:
Code auto-completion extension
First install the extension library
pip install jupyter_contrib_nbextensions
jupyter contrib nbextensions install --user
pip install jupyter_nbextensions_configurator
After the installation is complete, restart Jupyter notebook,
click on the Nbextensions option, and check Hinterland
Tips: Linux restart command:
1、reboot
2、shutdown -r now 立刻重启
3、shutdown -r 10 过10分钟自动重启
4、shutdown -r 20:35 在时间为20:35时候重启
如果是通过shutdown命令设置重启的话，可以用shutdown -c命令取消重启
关机命令 ：
1、halt 立刻关机（一般加-p 关闭电源）
2、poweroff 立刻关机
3、shutdown -h now 立刻关机
4、shutdown -h 10 10分钟后自动关机
如果是通过shutdown命令设置关机的话，可以用shutdown -c命令取消关机