def test_axes_values_dimensions_are_consistent_with_nonempty_1D_data(self):
len_data = 5
tmp_data = np.zeros(len_data)
tmp_axes = [dataset.Axis(), dataset.Axis()]
tmp_axes[0].values = np.zeros(len_data)
data_obj = dataset.Data(tmp_data, tmp_axes)
self.assertEqual(len(data_obj.axes[0].values), len_data)
def test_set_wrong_axes_dimensions_with_nonempty_1D_data_raises(self):
len_data = 5
tmp_data = np.zeros(len_data)
tmp_axis = dataset.Axis()
tmp_axis.values = np.zeros(2*len_data)
tmp_axes = [tmp_axis, dataset.Axis()]
with self.assertRaises(
aspecd.exceptions.AxesValuesInconsistentWithDataError):
dataset.Data(tmp_data, tmp_axes)
def setUp(self):
self.data = dataset.Data()
def test_wrong_axes_values_dimensions_with_nonempty_2D_data_raises(self):
len_data = [5, 3]
tmp_data = np.zeros(len_data)
with self.assertRaises(
aspecd.exceptions.AxesValuesInconsistentWithDataError):
dataset.Data(tmp_data, self.axes)
def test_axes_values_dimensions_are_consistent_with_empty_2D_data(self):
tmp_data = np.zeros([0, 0])
data_obj = dataset.Data(tmp_data)
self.assertEqual(len(data_obj.axes[0].values), 0)
self.assertEqual(len(data_obj.axes[1].values), 0)
def test_axes_values_dimensions_are_consistent_with_empty_1D_data(self):
data_obj = dataset.Data(self.data, self.axes)
self.assertEqual(len(data_obj.axes[0].values), 0)
def test_setting_too_many_axes_raises(self):
axes = self.axes
axes.append(dataset.Axis())
with self.assertRaises(aspecd.exceptions.AxesCountError):
dataset.Data(self.data, axes)
def test_set_calculated_in_constructor(self):
data_obj = dataset.Data(calculated=self.calculated)
self.assertEqual(data_obj.calculated, self.calculated)
def test_set_axes_in_constructor(self):
data_obj = dataset.Data(axes=self.axes)
self.assertEqual(data_obj.axes, self.axes)
def test_set_data_in_constructor(self):
data_obj = dataset.Data(data=self.data)
self.assertEqual(data_obj.data.tolist(), self.data.tolist())
