def test_output_types(self):
self.assertType(normalize_hounsfield(self.bnp.astype(np.float32)), np.float32)
self.assertType(normalize_hounsfield(self.bpt, dtype=np.float32 ), np.float32)
self.assertType(normalize_hounsfield(self.bpt.to( torch.float32)), torch.float32)
self.assertType(normalize_hounsfield(self.bnp, dtype=torch.float32 ), torch.float32)
def test_shapes_match(self):
self.assertSameShape(normalize_hounsfield(self.bnp), self.bnp)
self.assertSameShape(normalize_hounsfield(self.bpt), self.bpt)
self.assertSameDims(normalize_hounsfield(self.bnp), self.bnp)
self.assertSameDims(normalize_hounsfield(self.bpt), self.bpt)
def test_nans(self):
self.assertNotAny( np.isnan(normalize_hounsfield(self.anp)))
self.assertNotAny(torch.isnan(normalize_hounsfield(self.apt)))
self.assertNotAny( np.isnan(normalize_hounsfield(self.bnp)))
self.assertNotAny(torch.isnan(normalize_hounsfield(self.bpt)))
def test_boundaries(self):
self.assertAll(normalize_hounsfield(self.bnp) >= 0.0)
self.assertAll(normalize_hounsfield(self.bnp) <= 1.0)
self.assertAll(normalize_hounsfield(self.bpt) >= 0.0)
self.assertAll(normalize_hounsfield(self.bpt) <= 1.0)
def test_invalid_type_exception(self):
with self.assertRaises(Exception): normalize_hounsfield('abcd')
with self.assertRaises(Exception): normalize_hounsfield({'answer': 42})
def test_values_match(self):
self.assertSameValues(normalize_hounsfield(self.anp), self.anpr)
self.assertSameValues(normalize_hounsfield(self.apt), self.aptr)
self.assertCloseValues(normalize_hounsfield((1,2,3)), np.array([0.0002442, 0.0004884, 0.0007326], dtype=np.float32))
self.assertCloseValues(normalize_hounsfield([1,2,3]), np.array([0.0002442, 0.0004884, 0.0007326], dtype=np.float32))
self.assertAlmostEqual(normalize_hounsfield(1), 0.0002442)