def test_reduce(self):
# As this is not yet implemented, it should raise an error
with self.assertRaises(NotImplementedError):
correlate_maps_base(self.map1,
self.map2,
window_size=5,
reduce=True)
def test_correlation_value(self):
# test the value of the correlation against scipys implementation
np.random.seed(0)
c1 = np.random.rand(5, 5)
c2 = np.random.rand(5, 5)
self.assertTrue(
np.allclose(
pearsonr(c1.flatten(), c2.flatten())[0],
correlate_maps_base(c1, c2, window_size=5)[2, 2]))
def test_correlation_window_size_15(self):
c1 = correlate_maps_base(self.map1, self.map2, window_size=15)
c2 = correlate_maps_simple(self.map1, self.map2, window_size=15)
self.assertTrue(np.allclose(c1, c2, equal_nan=True))
def test_correlation_fraction_accepted_1(self):
c1 = correlate_maps_base(self.map1, self.map2, fraction_accepted=1)
c2 = correlate_maps_simple(self.map1, self.map2, fraction_accepted=1)
self.assertTrue(np.allclose(c1, c2, equal_nan=True))
def test_correlation(self):
# fraction_accepted 0.7 and window_size 5
c1 = correlate_maps_base(self.map1, self.map2)
c2 = correlate_maps_simple(self.map1, self.map2)
self.assertTrue(np.allclose(c1, c2, equal_nan=True))
def test_assumptions(self):
with self.assertRaises((ValueError, IndexError)):
# Only 2D is supported
correlate_maps_base(np.random.rand(10, 10, 10),
np.random.rand(10, 10, 10))
with self.assertRaises((ValueError, IndexError)):
# Only 2D is supported
correlate_maps_base(np.random.rand(10), np.random.rand(10))
with self.assertRaises(ValueError):
# fraction accepted needs to be in range 0-1
correlate_maps_base(self.map1, self.map2, fraction_accepted=-0.1)
with self.assertRaises(ValueError):
# fraction accepted needs to be in range 0-1
correlate_maps_base(self.map1, self.map2, fraction_accepted=1.1)
with self.assertRaises(ValueError):
# window_size should be bigger than 1
correlate_maps_base(self.map1, self.map2, window_size=1)
with self.assertRaises(ValueError):
# window_size can't be even
correlate_maps_base(self.map1, self.map2, window_size=4)