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tb-project's Introduction

tb project

dependency

must

  1. docker
  2. docker-compose

optional

  1. Vscode

important packages

  1. python3.10 (install in docker)
  2. python's packages in requirements.txt (build in docker)

other files

  1. data files (.pickle, not show in github)
  2. paper draft and ppts (inside results folder)
  3. etc (some envs)
  4. docker files

configuration

  1. put the .pickle data in the folder

  2. to build docker image and start jupyter server

    docker-compose -f docker-compose.yaml up

  3. once built, visit jupyter lab through the url show console like

    http://127.0.0.1:5000/lab?token=6b372517a0bbc447ed4702faa1b9a81675d4fad827e51ed2

  4. or u can directlly view the result in Vscode

debug via Vscode

  1. setting python interpreter
    • Open the Command Palette in Visual Studio Code (Ctrl+Shift+P or Cmd+Shift+P).
    • Run the "Remote-Containers: Attach to Running Container..." command.
    • Select the running Docker container with the Python interpreter you want to use (han_tb-app_1).
    • After attaching to the container,Vscode will refresh, then install python and pylance in extension in sidebar
    • Open the Command Palette in Visual Studio Code (Ctrl+Shift+P or Cmd+Shift+P).
    • Run the "Python: Select Interpreter"
    • enter /p_3_10/bin/python3

tb-project's People

Contributors

fangxiang95 avatar bigmasonfang avatar

Watchers

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