text: test = {
    'name': '',
    'points': 1,
    'suites': [
      {
        'cases': [
          {
            'code': r"""
            >>> # One or more of the reaction results could be incorrect
            >>> np.count_nonzero(ten_nachos_reactions.column('Reactions') == make_array('Meh', 'Cheesy', 'Wow', 'Wow', 'Cheesy', 'Spicy', 'Wow', 'Meh', 'Cheesy', 'Wow')) == 10
            True
            """,
            'hidden': False,
            'locked': False
          }
        ],
        'scored': True,
        'setup': '',
        'teardown': '',
        'type': 'doctest'
      }
    ]
  }
  