def test_mdtol(self):
na = np.nan
array = np.array([[1., 2., 1., 2.], [1., 2., 3., na], [1., 2., na,
na]])
array = as_lazy_data(array)
var = STD_DEV.lazy_aggregate(array, axis=1, mdtol=0.3)
masked_result = as_concrete_data(var, nans_replacement=np.ma.masked)
masked_expected = np.ma.masked_array([0.57735, 1., 0.707107],
mask=[0, 0, 1])
self.assertMaskedArrayAlmostEqual(masked_result, masked_expected)
def test_mdtol(self):
na = np.nan
array = np.array([[1., 2., 1., 2.],
[1., 2., 3., na],
[1., 2., na, na]])
array = as_lazy_data(array)
var = STD_DEV.lazy_aggregate(array, axis=1, mdtol=0.3)
masked_result = as_concrete_data(var, nans_replacement=np.ma.masked)
masked_expected = np.ma.masked_array([0.57735, 1., 0.707107],
mask=[0, 0, 1])
self.assertMaskedArrayAlmostEqual(masked_result, masked_expected)
def test_mdtol(self):
na = -999.888
array = np.ma.masked_equal(
[[1.0, 2.0, 1.0, 2.0], [1.0, 2.0, 3.0, na], [1.0, 2.0, na, na]], na
)
array = as_lazy_data(array)
var = STD_DEV.lazy_aggregate(array, axis=1, mdtol=0.3)
masked_result = as_concrete_data(var)
masked_expected = np.ma.masked_array(
[0.57735, 1.0, 0.707107], mask=[0, 0, 1]
)
self.assertMaskedArrayAlmostEqual(masked_result, masked_expected)
def test_ddof_zero(self):
array = biggus.NumpyArrayAdapter(np.arange(8))
var = STD_DEV.lazy_aggregate(array, axis=0, ddof=0)
self.assertArrayAlmostEqual(var.ndarray(), np.array(2.291287))
def test_unsupported_mdtol(self):
array = biggus.NumpyArrayAdapter(np.arange(8))
msg = "unexpected keyword argument 'mdtol'"
with self.assertRaisesRegexp(TypeError, msg):
STD_DEV.lazy_aggregate(array, axis=0, mdtol=0.8)
def test_lazy_collapse(self):
lazy_data = STD_DEV.lazy_aggregate(self.lazy_cube.lazy_data(), axis=0)
self.assertArrayAlmostEqual(lazy_data.compute(), [1.58113883])
def test_lazy(self):
lazy_data = STD_DEV.lazy_aggregate(self.lazy_cube.lazy_data(), axis=0)
self.assertTrue(is_lazy_data(lazy_data))
def test_collapse(self):
data = STD_DEV.aggregate(self.cube.data, axis=0)
self.assertArrayAlmostEqual(data, [1.58113883])
def test_unsupported_mdtol(self):
array = biggus.NumpyArrayAdapter(np.arange(8))
msg = "unexpected keyword argument 'mdtol'"
with self.assertRaisesRegexp(TypeError, msg):
STD_DEV.lazy_aggregate(array, axis=0, mdtol=0.8)
def test(self):
self.assertEqual(STD_DEV.name(), 'standard_deviation')
def test_lazy_collapse(self):
lazy_data = STD_DEV.lazy_aggregate(self.lazy_cube.lazy_data(), axis=0)
self.assertArrayAlmostEqual(lazy_data.compute(), [1.58113883])
def test_lazy(self):
lazy_data = STD_DEV.lazy_aggregate(self.lazy_cube.lazy_data(), axis=0)
self.assertTrue(is_lazy_data(lazy_data))
def test_collapse(self):
data = STD_DEV.aggregate(self.cube.data, axis=0)
self.assertArrayAlmostEqual(data, [1.58113883])
def test_name(self):
self.assertEqual(STD_DEV.name(), 'standard_deviation')
def test_name(self):
self.assertEqual(STD_DEV.name(), "standard_deviation")
def test_ddof_zero(self):
array = biggus.NumpyArrayAdapter(np.arange(8))
var = STD_DEV.lazy_aggregate(array, axis=0, ddof=0)
self.assertArrayAlmostEqual(var.ndarray(), np.array(2.291287))
def test_ddof_zero(self):
array = as_lazy_data(np.arange(8))
var = STD_DEV.lazy_aggregate(array, axis=0, ddof=0)
result = as_concrete_data(var)
self.assertArrayAlmostEqual(result, np.array(2.291287))
def test_ddof_zero(self):
array = as_lazy_data(np.arange(8))
var = STD_DEV.lazy_aggregate(array, axis=0, ddof=0)
result = as_concrete_data(var)
self.assertArrayAlmostEqual(result, np.array(2.291287))
def test(self):
shape = ()
kwargs = dict()
self.assertTupleEqual(STD_DEV.aggregate_shape(**kwargs), shape)
kwargs = dict(forfar=5, fife=4)
self.assertTupleEqual(STD_DEV.aggregate_shape(**kwargs), shape)
def test(self):
shape = ()
kwargs = dict()
self.assertTupleEqual(STD_DEV.aggregate_shape(**kwargs), shape)
kwargs = dict(forfar=5, fife=4)
self.assertTupleEqual(STD_DEV.aggregate_shape(**kwargs), shape)
