Things you'll need to do:

0. Ensure you have python3.4 installed on your machine.
1. make
2. Run code/MyPyTutor.py in Python 3.
3. Set your MyPyTutor tutorial folder to CSSE1001Tutorials in this repo (this folder will be created when you run make).

• You can do this from "Preferences"/"Configure Tutorial Folder" in the menu.
• If you already have a MPT installation on your machine, you can also edit ~/mypytutor.cfg.

The .tut format is a simple directory-based format.

A valid .tut directory must contain the following files:

example.tut/

• analysis.py
  • contains static analysis code
  • must define ANALYSER to contain a CodeAnalyser subclass
    • CodeAnalyser will be injected into the namespace when run
• config.py
  • defines configuration information for the tutorial
  • SHORT_DESCRIPTION: a one-line explanation of the task, shown prominently on the UI
  • STUDENT_FUNCTION: the name of the function the student must write; if no function is required, use None
  • HINTS: a list of hints (as strings)
  • TIMEOUT: the maximum time to permit to run all tests and perform static analysis on the tutorial (optional)
• description.html
  • the tutorial task description
• preload.py
  • the code which should be loaded into the MyPyTutor editor window when the tutorial is first run (or is reset)
• support.py
  • any code in this file will be executed before testing the student's submission
  • use to define any required functions/classes
• tests.py
  • test cases for the student submission
  • must define TEST_CLASSES as a list of test case classes (not instances)
  • each test case must inherit from StudentTestCase
    • StudentTestCase will be injected into the namespace when run
    • test cases must define two class variables:
      • DESCRIPTION: a description of the test case, as a string, eg: add(1, 2) -> 3 or Does not modify input
      • MAIN_TEST: the name of the method corresponding to the description
    • test cases must contain at least one test method
      • output from this main test method will be shown to the student
      • additional methods may be added to prevent students simply writing code which retursn the right values to meet the visible tests
    • student code may be executed by calling self.run_student_code
      • input_text may be used to prove a string as stdin
      • *args and **kwargs will be passed directly to the student's function