def aesara_hash(self):
_, d = self
return hash_from_ndarray(d)
def test_hash_from_ndarray():
hashes = []
rng = np.random.rand(5, 5)
for data in [
-2,
-1,
0,
1,
2,
np.zeros((1, 5)),
np.zeros((1, 6)),
# Data buffer empty but different shapes
np.zeros((1, 0)),
np.zeros((2, 0)),
# Same data buffer and shapes but different strides
np.arange(25).reshape(5, 5),
np.arange(25).reshape(5, 5).T,
# Same data buffer, shapes and strides but different dtypes
np.zeros((5, 5), dtype="uint32"),
np.zeros((5, 5), dtype="int32"),
# Test slice
rng,
rng[1:],
rng[:4],
rng[1:3],
rng[::2],
rng[::-1],
]:
data = np.asarray(data)
hashes.append(hash_from_ndarray(data))
assert len(set(hashes)) == len(hashes)
# test that different type of views and their copy give the same hash
assert hash_from_ndarray(rng[1:]) == hash_from_ndarray(rng[1:].copy())
assert hash_from_ndarray(rng[1:3]) == hash_from_ndarray(rng[1:3].copy())
assert hash_from_ndarray(rng[:4]) == hash_from_ndarray(rng[:4].copy())
assert hash_from_ndarray(rng[::2]) == hash_from_ndarray(rng[::2].copy())
assert hash_from_ndarray(rng[::-1]) == hash_from_ndarray(rng[::-1].copy())