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Grading environment with specific Python version in path.

Includes following extra packages:

Tags

Images are tagged with Python and grading-base versions in format <Python>-<grading-base>. Version tag can also include uN meaning update N where N is an increasing number. The update part is used to indicate updates to the image, where software versions did not change. For an example, 3.5-2.0u1 includes Python 3.5 on top of grading-base 2.0 and has one update after first release. Newer tags include the version of Python grader-utils in the middle of the tag. For example, 3.7-3.3-3.1 includes Python 3.7 and Python grader-utils 3.3 on top of grading-base 3.1.

There is also few additional versions of the image:

  • math-* includes Python packages matplotlib, scipy, numpy and bokeh on top of the base and in addition, openpyxl, xlrd and xlwt for Excel file parsing
  • ml-* includes Python packages pandas, scikit-learn and numpy on top of the math layer
  • rdf-* includes Python package rdflib on top of the base
  • xls-* includes Python packages xlrd and xlwt on top of the base for parsing Excel files
  • ply-* includes the Python package PLY (parser and lexer generator)

Utility commands

In addition to grading-base, this container provides following utilities.

  • graderutils [--use-iotester] [--use-rpyc] [--novalidate] [--container] [--show-config] [--develop-mode] -- path_to_test_config

    • --use-iotester

      Create the necessary directory structure with the correct permissions required by iotester.

    • --use-rpyc

      Use RPyC (Remote Python Call) to import and call student code running in a separate process.

    • --novalidate

      Skip validation of test config.

    • --container

      This flag can be used when running graderutils inside docker container based on apluslms/grading-base to raise and print exceptions that occur in graderutils itself to stderr (normally not used).

    • --show-config

      Print test configuration into warnings.

    • --develop-mode

      Display all unhandled exceptions unformatted. Also implies --show-config. By default, exceptions related to improperly configured tests are caught and hidden behind a generic error message. This is to prevent unwanted leaking of grader test details, which might reveal e.g. parts of the model solution, if one is used.

    Executes graderutils.main (or graderutils.__main__ when --use-rpyc flag is set) Python module using capture wrapper (check grading-base). Provided arguments, except for --use-iotester and --use-rpyc, are passed to the Python module. If there are no arguments, then the module is executed with /exercise/test_config.yaml as the first argument. In other words, if you define graderutils configuration in test_config.yaml, you only need to have graderutils in the config.yaml cmd field.

  • unittest

    Alias for python3 -m unittest. Adds /exercise to PYTHONPATH.

  • unittest-capture

    Wrapper around capture and unittest Python module. Adds /exercise to PYTHONPATH. Does execute err-to-out if there is no errors.

  • unittest-testcase [-t title] [-p points] [-s skip] [unittest arguments]

    Wrapper around testcase and unittest Python module. Adds /exercise to PYTHONPATH. Arguments are passed to testcase and unittest arguments for the Python module. Check testcase documentation in grading-base.

  • python-compile-all

    Alias for python3 -m compileall. Use it to validate Python syntax of input files before tests.

  • run-all-unittests [-S] [-p points_per_test_class]

    Command to do it all. Can replace run.sh in trivial cases.

    First, script validates syntax, unless -S is provided. If syntax is not valid, no tests are run. Second, script finds all files matching *test*.py pattern from submission and exercise paths. Then, it runs every class that directly inherits unittest.TestCase using testcase and unittest. Testcase will give points_per_test_class many points per successful execution of unittest.

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Docker: Python grading environment

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