def test_max_supports_multiple_axes(self):
raw = np.random.random_sample((10, 9, 8, 7))
arr = ArrayWithUnits(raw,
dimensions=[
ContrivedDimension(10),
IdentityDimension(),
IdentityDimension(),
ContrivedDimension2(10)
])
result = arr.max(axis=(1, 2))
self.assertEqual((10, 7), result.shape)
self.assertIsInstance(result, ArrayWithUnits)
self.assertEqual(2, len(result.dimensions))
self.assertIsInstance(result.dimensions[0], ContrivedDimension)
self.assertIsInstance(result.dimensions[1], ContrivedDimension2)
def test_max_supports_keepdims(self):
raw = np.random.random_sample((10, 9, 8, 7))
arr = ArrayWithUnits(raw,
dimensions=[
ContrivedDimension(10),
ContrivedDimension2(10),
ContrivedDimension(10),
ContrivedDimension2(10)
])
result = arr.max(axis=(1, 2), keepdims=True)
self.assertEqual((10, 1, 1, 7), result.shape)
self.assertIsInstance(result, ArrayWithUnits)
self.assertEqual(4, len(result.dimensions))
print result.dimensions
self.assertIsInstance(result.dimensions[0], ContrivedDimension)
self.assertIsInstance(result.dimensions[1], IdentityDimension)
self.assertIsInstance(result.dimensions[2], IdentityDimension)
self.assertIsInstance(result.dimensions[3], ContrivedDimension2)
