def test_01_3D(self):
x = np.zeros((5,5,5))
output = rank_order(x)[0]
self.assertTrue(np.all(output==0))
self.assertEqual(x.ndim, 3)
self.assertEqual(x.shape[0],5)
self.assertEqual(x.shape[1],5)
self.assertEqual(x.shape[2],5)
def test_04_decimate(self):
# The bins originally go from 0 to 9 and we should
# merge bins 0 and 1 because they are the smallest.
x = np.sqrt(np.arange(100)).astype(int)
output, orig = rank_order(x, nbins=9)
self.assertEqual(len(orig), 9)
self.assertTrue(np.all(output[:4] == 0))
self.assertIn(orig[0], (0, 1))
np.testing.assert_array_equal(orig[1:], np.arange(2,10))
def test_00_zeros(self):
"""Test rank_order on a matrix of all zeros"""
x = np.zeros((5,5))
output = rank_order(x)[0]
self.assertTrue(np.all(output==0))
self.assertTrue(output.dtype.type == np.uint32)
self.assertEqual(x.ndim, 2)
self.assertEqual(x.shape[0],5)
self.assertEqual(x.shape[1],5)
def test_02_two_values(self):
x = np.zeros((5,10))
x[3,5] = 2
x[4,7] = 2
output,orig = rank_order(x)
self.assertEqual(output[3,5],1)
self.assertEqual(output[4,7],1)
self.assertEqual(len(orig),2)
self.assertEqual(orig[0],0)
self.assertEqual(orig[1],2)
self.assertEqual(np.sum(output==0),48)
def test_03_three_values(self):
x = np.zeros((5,10))
x[3,5] = 4
x[4,7] = 4
x[0,9] = 3
output,orig = rank_order(x)
self.assertEqual(output[0,9],1)
self.assertEqual(output[3,5],2)
self.assertEqual(output[4,7],2)
self.assertEqual(len(orig),3)
self.assertEqual(orig[0],0)
self.assertEqual(orig[1],3)
self.assertEqual(orig[2],4)
self.assertEqual(np.sum(output==0),47)