def test_array(self):
items = [[1, [0.1, 1.2, 12.3, 123.4]],
[-1, [10.0, 120.0, 1230.0, 12340.0]],
[2, [0.01, 0.12, 1.23, 12.34]],
[-2, [100.0, 1200.0, 12300.0, 123400.0]]]
values = np.array([1, 12, 123, 1234])
for factor, expected in items:
result = unscale(values, [factor] * values.size)
self.assertFalse(ma.isMaskedArray(result))
np.testing.assert_array_equal(result, np.array(expected))
def test_array_mdi(self):
result = unscale([1, MDI, 100, 1000], [1, 1, 1, MDI])
self.assertTrue(ma.isMaskedArray(result))
expected = ma.masked_values([0.1, MDI, 10.0, MDI], MDI)
np.testing.assert_array_almost_equal(result, expected)
def test_single_mdi(self):
self.assertIs(unscale(10, MDI), ma.masked)
self.assertIs(unscale(MDI, 1), ma.masked)
def test_single(self):
self.assertEqual(unscale(123, 1), 12.3)
self.assertEqual(unscale(123, -1), 1230.0)
self.assertEqual(unscale(123, 2), 1.23)
self.assertEqual(unscale(123, -2), 12300.0)
