Tasks

• Tutorial
  • Creating the task description
  • Creating the run file
• Task description files
  • Problem types
• Run file
  • Naming your run script
  • Python run scripts are run with IPython
  • Check the API documentation
  • Feedback commands
  • reStructuredText helper commands
  • Input commands
  • run_student
  • ssh_student
  • Archiving files
  • Who is running the run file?
• The inginious_container_api package (commands inside containers)
  • Gathering the student’s input
  • Feedback
  • Running subcontainers
  • RST helpers
  • Language management
• Allowing students to download files
• Share common files between tasks
• Random tasks parameters
  • Accessing the task random parameters
• Overriding system files
• Debugging tasks
  • Debug information
  • SSH debug
• Best practices
  • Use YAML with RST
  • Provide a test set for the student to test their code themselves, and grade the code with at least this set
  • Do not use the “file” subproblem type
  • If you still have to use a “file” subproblem type, make it lightweight
  • If you still have to use a lightweight “file” subproblem, ask for code, not for binary executables
  • Do not delete tasks
  • Do not put the student’s code directly in your tests
  • Use student container
  • Make small tests
• Translating tasks
  • Marking strings in Python scripts
  • Marking strings in feedback templates
  • Extracting strings
  • Translating strings
  • Compile your .po file into a .mo
  • I need more help with gettext