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Python version 3.12.4 | packaged by conda-forge | (main, Jun 17 2024, 10:13:44) [Clang 16.0.6 ]
nbgrader version 0.8.5
jupyterhub --version (if used with JupyterHub)
jupyter notebook --version
6.5.4
Expected behavior
nbgrader validate <student_notebook>;print $? should return (print here) a non-zero exit code if it fails any test
Actual behavior
The command returns 0 even when validation fails
Steps to reproduce the behavior
Create any NBGrader notebook with tests.
Release the notebook
run nbgrader validate <student_notebook>;print $?
For context, I'm trying to use nbgrader together with Github Classroom to run my course without having to configure a machine to receive nbgrader submissions, and allow students to get immediate feedback to their work when they commit.
The text was updated successfully, but these errors were encountered:
nbgrader validate <student_notebook>;print $? should return (print here) a non-zero exit code if it fails any test
Not sure about that, it will return error if an exception is raised, otherwise it returns the status (success or fails) of the validation, and the errors in cells.
Maybe you could parse the output, to look for VALIDATION FAILED or Success! Your notebook passes all the tests.
For reference, this is important if you want to actually read where the errors were in Github action log. Having said that, I think ideally nbgrader validate should use the return codes in a meaningful way. This does not look like a very hard feature to implement.
Operating system
macOS Monterrey
nbgrader --version
Python version 3.12.4 | packaged by conda-forge | (main, Jun 17 2024, 10:13:44) [Clang 16.0.6 ]
nbgrader version 0.8.5
jupyterhub --version
(if used with JupyterHub)jupyter notebook --version
6.5.4
Expected behavior
nbgrader validate <student_notebook>;print $?
should return (print here) a non-zero exit code if it fails any testActual behavior
The command returns 0 even when validation fails
Steps to reproduce the behavior
nbgrader validate <student_notebook>;print $?
For context, I'm trying to use nbgrader together with Github Classroom to run my course without having to configure a machine to receive nbgrader submissions, and allow students to get immediate feedback to their work when they commit.
The text was updated successfully, but these errors were encountered: