def test_validate_input_all_valid_input(self):
"""_validate_input() should return valid information about the data
without throwing an exception."""
self.assertEqual(
_validate_input(self.ValidTypicalData, [1, 3, 4, 8],
["T0", "T1", "T2", "T3"],
["Infants", "Children", "Teens"]), (4, 3))
def test_validate_input_all_valid_input(self):
"""_validate_input() should return valid information about the data
without throwing an exception."""
self.assertEqual(_validate_input(self.ValidTypicalData, [1, 3, 4, 8],
["T0", "T1", "T2", "T3"],
["Infants", "Children", "Teens"]),
(4, 3))
def test_validate_input_empty_point(self):
with npt.assert_raises(ValueError):
_validate_input([[[1, 2, 3], [4, 5]], []], None, None, None)
def test_validate_input_empty_deeply_nested(self):
"""_validate_input() should pass for deeply nested empty data."""
num_points, num_samples = _validate_input(self.EmptyDeeplyNested,
None, None, None)
self.assertEqual(num_points, 1)
self.assertEqual(num_samples, 1)
def test_validate_input_empty_nested(self):
"""_validate_input() should raise a ValueError if empty nested data is
passed to it."""
with npt.assert_raises(ValueError):
_validate_input(self.EmptyNested, None, None, None)
def test_validate_input_null(self):
"""_validate_input() should raise a ValueError if null data is passed
to it."""
with npt.assert_raises(ValueError):
_validate_input(self.Null, None, None, None)
def test_validate_input_invalid_sample_names(self):
"""_validate_input() should raise a ValueError on sample_names that are
an invalid length."""
with npt.assert_raises(ValueError):
_validate_input(self.ValidSingleSampleData, None, None,
["Men", "Women"])
def test_validate_input_invalid_data_point_names(self):
"""_validate_input() should raise a ValueError on data_point_names that
are an invalid length."""
with npt.assert_raises(ValueError):
_validate_input(self.ValidSingleSampleData, None, ["T0", "T1"],
None)
def test_validate_input_invalid_num_samples(self):
"""_validate_input() should raise a ValueError if an inconsistent
number of samples in included in the data."""
with npt.assert_raises(ValueError):
_validate_input(self.InvalidNumSamples, None, None, None)
def test_validate_input_invalid_data_point_names(self):
"""_validate_input() should raise a ValueError on data_point_names that
are an invalid length."""
with npt.assert_raises(ValueError):
_validate_input(self.ValidSingleSampleData, None, ["T0", "T1"],
None)
def test_validate_input_invalid_num_samples(self):
"""_validate_input() should raise a ValueError if an inconsistent
number of samples in included in the data."""
with npt.assert_raises(ValueError):
_validate_input(self.InvalidNumSamples, None, None, None)
def test_validate_input_empty_deeply_nested(self):
"""_validate_input() should pass for deeply nested empty data."""
num_points, num_samples = _validate_input(self.EmptyDeeplyNested, None,
None, None)
self.assertEqual(num_points, 1)
self.assertEqual(num_samples, 1)
def test_validate_input_empty_nested(self):
"""_validate_input() should raise a ValueError if empty nested data is
passed to it."""
with npt.assert_raises(ValueError):
_validate_input(self.EmptyNested, None, None, None)
def test_validate_input_null(self):
"""_validate_input() should raise a ValueError if null data is passed
to it."""
with npt.assert_raises(ValueError):
_validate_input(self.Null, None, None, None)
def test_validate_input_invalid_sample_names(self):
"""_validate_input() should raise a ValueError on sample_names that are
an invalid length."""
with npt.assert_raises(ValueError):
_validate_input(self.ValidSingleSampleData, None, None,
["Men", "Women"])
