def test_daily_min_string(): """Test for TypeError when passing strings""" from inflammation.models import daily_min from pytest import raises with raises(TypeError): daily_min([['Doesnt', 'work'], ['with', 'strings']])
def test_daily_min_string(): """Test for TypeError when passing strings""" from inflammation.models import daily_min from pytest import raises with raises(TypeError): daily_min([['Cannot', 'average'], ['string', 'arguments']])
def test_daily_min_integers(): """Test that mean function works for an array of positive integers.""" test_array = np.array([[1, 2], [3, 4], [5, 6]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([1, 2]), daily_min(test_array))
def test_daily_min_not_rectangular(): """Test for TypeError when passing strings""" from pytest import raises test_array = np.array([[1, 2], [3, 4], [5, 'test']]) with raises(TypeError): npt.assert_array_equal(np.array([1, 2]), daily_min(test_array))
def main(): """The MVC Controller of the patient inflammation data system. The Controller is responsible for: - selecting the necessary models and views for the current task - passing data between models and views """ parser = argparse.ArgumentParser( description='A basic patient inflammation data management system') parser.add_argument( 'infiles', nargs='+', help='Input CSV(s) containing inflammation series for each patient') args = parser.parse_args() InFiles = args.infiles if not isinstance(InFiles, list): InFiles = [args.infiles] for filename in InFiles: inflammation_data = models.load_csv(filename) view_data = { 'average': models.daily_mean(inflammation_data), 'max': models.daily_max(inflammation_data), 'min': models.daily_min(inflammation_data) } views.visualize(view_data)
def test_daily_min(): from inflammation.models import daily_min test_array = np.array([[1, 3, 5], [3, 4, 1], [2, 4, 9]]) npt.assert_array_equal(np.array([1, 3, 1]), daily_min(test_array))
def main(args): """The MVC Controller of the patient data system. The Controller is responsible for: - selecting the necessary models and views for the current task - passing data between models and views """ infiles = args.infiles if not isinstance(infiles, list): infiles = [args.infiles] for filename in infiles: inflammation_data = models.load_csv(filename) view_data = {'average': models.daily_mean(inflammation_data), 'max': models.daily_max(inflammation_data), 'min': models.daily_min(inflammation_data)} views.visualize(view_data)
def test_daily_min(): from inflammation.models import daily_min test_array = np.array([[1, 2], [3, 4], [5, 6]]) npt.assert_array_equal(np.array([1, 2]), daily_min(test_array))
def test_daily_min_noarg(): """Test for TypeError when passing no arguments""" from inflammation.models import daily_min from pytest import raises with raises(TypeError): daily_min()
def test_min_bool(): assert daily_min([True, True, True, False]) == 0
def test_daily_min_too_many_inputs(): test_array = np.array([[1, 2], [3, 4], [5, 6]]) # if there is a typeError anywhere in this indented block (with is a context manager) with raises(TypeError): daily_min(test_array, test_array)
def test_daily_min_string(): # if there is a typeError anywhere in this indented block (with is a context manager) with raises(TypeError): daily_min([['Cannot', 'min'], ['string', 'arguments']])
def test_daily_min(test, expected): npt.assert_equal(np.array(expected), daily_min(np.array(test)))
def test_bool(): from inflammation.models import daily_min assert daily_min([True, True, False]) == 0
def test_daily_min(test, expected): """Test mean function works for array of zeroes and positive integers.""" from inflammation.models import daily_min npt.assert_array_equal(np.array(expected), daily_min(np.array(test)))
def test_daily_min_none(): """Test for TypeError when passing strings""" from pytest import raises with raises(TypeError): daily_min([[None, None], [None, None]])
def test_daily_min_string(): """Test for TypeError when passing strings""" from pytest import raises with raises(TypeError): daily_min([['Cannot', 'min'], ['string', 'arguments']])
def test_daily_min(test, expected): """Test min function works for zeroes, positive integers, mix of positive/negative integers.""" from inflammation.models import daily_min npt.assert_array_equal(np.array(expected), daily_min(np.array(test)))
def test_daily_min_zeros(): """Test that mean function works for an array of zeros.""" test_array = np.array([[0, 0], [0, 0], [0, 0]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([0, 0]), daily_min(test_array))