https://github.com/aau-dat/p10-curdleproofs

https://github.com/aau-dat/p10-curdleproofs

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.2%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: AAU-Dat
  • License: mit
  • Language: TeX
  • Default Branch: main
  • Size: 14.7 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme License Codeowners

README.md

AAU project

A template for setting up a new semester project for AAU.

Repo setup

Most of the repository setup is already automated, but the following additional things are difficult to automate and should be done manually:

  1. Create a team in your organization and add it to the repo.
  2. Create a GitHub project for the project management.
  3. Add the project to the repo and the team.
  4. Add a .github/CODEOWNERS file.

Local setup

Before you can compile your article or report, you do have to set a few things up first. This template assumes that you will use either Visual Studio Code or IntelliJ IDEA as your editor.

Scripts

A collection of scripts are available that configures your environment as described in the following sections.

IntelliJ

To prepare your Windows machine to write and compile LaTeX in IntelliJ, follow this guide. For details on setting up WSL or linux to write and compile LaTeX with VS Code see VS Code.

  • [ ] Install IntelliJ (Using JetBrains Toolbox is the recommended way) and the plugins:
  • [ ] Install TeX Live on Windows
  • [ ] Install Python
    • Install the Pygments Python package
    • You will most likely have to add the installation location to your PATH environment variable.
  • [ ] Clone the repository with IntelliJ and you are ready to work

Additional recommendations:

VS Code

This guide assumes you will use WSL. The steps are similar for Linux, but not entirely equivalent.

  • [ ] Install VS Code in Windows and the extensions:
    • Install Remote Development
    • Install LaTeX Workshop
  • [ ] Install WSL with the latest Ubuntu distribution
    • Install WSLU
    • Install Python
    • Install the Pygments Python package
    • You will most likely have to add the installation location to your PATH environment variable.
  • [ ] Clone the repository with git in WSL and you are ready to work

Additional recommendations: - Install Windows Terminal - Install the GitHub CLI

Docker

VS Code - Dev Container

Git

On a fresh computer it is a good idea to follow the official First Time Git Setup.

Qodana

Create a new project in the Qodana cloud, and create a repository secret containing the token.

Owner

  • Name: AAU-Dat
  • Login: AAU-Dat
  • Kind: organization

GitHub Events

Total
  • Delete event: 3
  • Push event: 129
  • Public event: 1
  • Pull request review event: 25
  • Pull request review comment event: 65
  • Pull request event: 48
  • Create event: 14
Last Year
  • Delete event: 3
  • Push event: 129
  • Public event: 1
  • Pull request review event: 25
  • Pull request review comment event: 65
  • Pull request event: 48
  • Create event: 14

Dependencies

.github/workflows/compile_pdf.yml actions
  • actions/checkout v3 composite
  • actions/checkout v4 composite
  • actions/download-artifact v4 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v4 composite
.github/workflows/setup-github.yaml actions
  • actions/checkout v4 composite