Creating a 🐍📦 with tests

[dpshelio]

Help Charlene to test her package (#43) (remember to commit after each step, if appropriate).

1. Choose who in your team is writing now! (make sure you've pulled the latest changes from your team's fork.)

2. Create a tests directory inside sagittal_average and add a test similar to what we used last week when we discovered the bug.

   Hint

   You need a test_something function that runs all the below

   1. Create an input dataset

      data_input = np.zeros((20, 20))
      data_input[-1, :] = 1

   2. Save it into a file

      np.savetxt("brain_sample.csv", data_input, fmt='%d', delimiter=',')

   3. Create an array with expected result

      # The expeted result is all zeros, except the last one, it should be 1
      expected = np.zeros(20)
      expected[-1] = 1

   4. call the function with the files

      run_averages(file_input="brain_sample.csv",
                   file_output="brain_average.csv")

   5. Load the result

      result = np.loadtxt(TEST_DIR / "brain_average.csv",  delimiter=',')

   6. Compare the result with the expected values

      np.testing.assert_array_equal(result, expected)

   What could you do to make sure that these files we are creating don't interfere with our repository or the rest of the package?

3. Add an __init__.py file to the tests folder.

4. Fix sagittal_brain.py (as you may remember from last week, the code wrongly averages over the columns, not the rows), make sure the test passes and commit these changes.

5. Try to install it by running pip install -e . where the setup.py is, and then run the tests with pytest.

6. Share your solution as a pull request to Charlene's repository mentioning this issue (by including the text Addresses UCL-COMP0233-22-23/RSE-Classwork#44 in the pull request description), remember to mention your team members too! (with @github_username)

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Sample solution:
UCL-COMP0233-2022-2023/sagittal_average#4