nbgrader-unittest-sebastian-stigler 0.0.3

Drop-in replacement for the unittest module to use them in tests for nbgrader assignments.

nbgrader_unittest

Drop-in replacement for the unittest module to use them in tests for nbgrader assignments.

You can use this module just like the unittest module. Just don't call the main function to run the tests. Use the run_nbgrader_test function instead.

If your tests all pass, no output will be generated and nbgrader will assign full marks to this cell. If one of your tests fail, the usual unittest output will be created and printed to sys.stderr and no marks will be assigned to this cell in nbgrader.

Example

You prepare a new jupyter notebook assignment with parts, that should be autograded with nbgrader.Your assignment could be something like this:

Write a function that returns a list of numbers, such that $x_i=i^2$, for $1 \leq i \leq n$. Make sure it handles the case where $n<1$ by raising a ValueError.

Your code cell with the "Autograded answer" will look like this:

def squares(n):
    """Compute the squares of numbers from 1 to n, such that the 
    ith element of the returned list equals i^2.
    
    """
    ### BEGIN SOLUTION
    if n < 1:
        raise ValueError("n must be greater than or equal to 1")
    return [x**2 for x in range(1, n + 1)]
    ### END SOLUTION

In a new code cell you put your "Autograder test":

import nbgrader_unittest

class SquaresTests(nbgrader_unittest.TestCase):

    def test_square_of_one(self):
        self.assertEqual(squares(1), [1])
   
    def test_squares_up_to_ten(self):
       self.assertEqual(
           squares(10),
           [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
       )

    def test_negative_argument(self):
        with self.assertRaises(ValueError):
            squares(-4)

nbgrader_unittest.run_nbgrader_test(SquaresTests)