def test_is_x_in_xdata_a_numpy_array_if_list_sent(self):
data = DataStructure.DataStructure()
x = [0]
y = np.zeros([2])
data.add_data_set(x, y)
self.assertIsInstance(data.xdata[0],
np.ndarray,
msg='xdata[0] should be a numpy array')
def test_is_y_in_ydata_a_numpy_array_if_element_sent(self):
data = DataStructure.DataStructure()
x = [0]
y = 0
data.add_data_set(x, y)
self.assertIsInstance(data.ydata[0],
np.ndarray,
msg='ydata[0] should be a numpy array')
def setup_data_set(self, xsh=[2], ysh=[2], nsets=1):
data = DataStructure.DataStructure()
x = np.zeros(xsh)
y = np.zeros(ysh)
for _ in range(nsets):
data.add_data_set(x, y)
data.get_number_of_data_sets()
return data
def test_2d_y_output_2d_shape(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2, 2])
data.add_data_set(x, y)
self.assertEqual(len(data.shape[0]),
len(data.ydata[0].shape),
msg='lengths should match')
def test_does_shape_match_y_shape(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2])
data.add_data_set(x, y)
self.assertEqual(data.shape[0],
data.ydata[0].shape,
msg='shapes should match')
def test_number_of_observations_match_sum_of_n_with_2d_y(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2, 2])
data.add_data_set(x, y)
nds = data.get_number_of_observations()
self.assertEqual(
nds[0],
2,
msg='total number of observations is number of rows in y')
def test_does_nbatch_equal_length_of_shape_for_1d_y(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2])
data.add_data_set(x, y)
data.get_number_of_batches()
self.assertEqual(data.nbatch,
1,
msg='nbatch should match number of calls to '
'add_data_set'
'')
def test_does_nbatch_match_for_1d_y_with_multiple_data_sets(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2])
data.add_data_set(x, y)
data.add_data_set(x, y)
data.get_number_of_batches()
self.assertEqual(data.nbatch,
2,
msg='nbatch should match number of calls to '
'add_data_set'
'')
def test_number_of_observations_match_sum_of_n_with_multiple_sets(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2])
data.add_data_set(x, y)
data.add_data_set(x, y)
nds = data.get_number_of_observations()
self.assertEqual(
nds[0],
4,
msg=
'total number of observations is number of rows in y - summed over all sets of y'
)
def test_is_ydata_a_list(self):
data = DataStructure.DataStructure()
x = np.zeros([2])
y = np.zeros([2])
data.add_data_set(x, y)
self.assertIsInstance(data.ydata, list, msg='ydata should be a list')
def test_does_initialization_yield_udobj(self):
data = DataStructure.DataStructure()
self.assertTrue(hasattr(data, 'user_defined_object'))
def test_does_initialization_yield_weight(self):
data = DataStructure.DataStructure()
self.assertTrue(hasattr(data, 'weight'))
def test_does_initialization_yield_shape(self):
data = DataStructure.DataStructure()
self.assertTrue(hasattr(data, 'shape'))