def test_numpy_patch():
storage = gt_store.from_array(np.random.randn(5, 5, 5),
default_origin=(1, 1, 1),
backend="gtmc")
class npsub(np.ndarray):
pass
numpy_array = np.ones((3, 3, 3))
matrix = np.ones((3, 3)).view(npsub)
assert isinstance(np.asarray(storage), np.ndarray)
assert isinstance(np.asarray(numpy_array), np.ndarray)
assert isinstance(np.asarray(matrix), np.ndarray)
assert isinstance(np.asanyarray(storage), type(storage))
assert isinstance(np.asanyarray(numpy_array), np.ndarray)
assert isinstance(np.asanyarray(matrix), npsub)
assert isinstance(np.array(storage), np.ndarray)
assert isinstance(np.array(matrix), np.ndarray)
assert isinstance(np.array(numpy_array), np.ndarray)
# apply numpy patch
gt_store.prepare_numpy()
assert isinstance(np.asarray(storage), type(storage))
assert isinstance(np.asarray(numpy_array), np.ndarray)
assert isinstance(np.asarray(matrix), np.ndarray)
assert isinstance(np.array(matrix), np.ndarray)
assert isinstance(np.array(numpy_array), np.ndarray)
try:
np.array(storage)
except RuntimeError:
pass
else:
assert False
# undo patch
gt_store.restore_numpy()
assert isinstance(np.asarray(storage), np.ndarray)
assert isinstance(np.asarray(numpy_array), np.ndarray)
assert isinstance(np.asarray(matrix), np.ndarray)
assert isinstance(np.array(storage), np.ndarray)
assert isinstance(np.array(matrix), np.ndarray)
assert isinstance(np.array(numpy_array), np.ndarray)
def test_asarray(self):
storage = gt_store.from_array(
np.random.randn(5, 5, 5), default_origin=(1, 1, 1), backend="gtmc"
)
class NDArraySub(np.ndarray):
pass
numpy_array = np.ones((3, 3, 3))
matrix = np.ones((3, 3)).view(NDArraySub)
assert isinstance(np.asarray(storage), np.ndarray)
assert isinstance(np.asarray(numpy_array), np.ndarray)
assert isinstance(np.asarray(matrix), np.ndarray)
assert isinstance(np.asanyarray(storage), type(storage))
assert isinstance(np.asanyarray(numpy_array), np.ndarray)
assert isinstance(np.asanyarray(matrix), NDArraySub)
assert isinstance(np.array(storage), np.ndarray)
assert isinstance(np.array(matrix), np.ndarray)
assert isinstance(np.array(numpy_array), np.ndarray)
# apply numpy patch
gt_store.prepare_numpy()
try:
assert isinstance(np.asarray(storage), type(storage))
assert isinstance(np.asarray(numpy_array), np.ndarray)
assert isinstance(np.asarray(matrix), np.ndarray)
assert isinstance(np.array(matrix), np.ndarray)
assert isinstance(np.array(numpy_array), np.ndarray)
with pytest.raises(RuntimeError):
np.array(storage)
finally:
# undo patch
gt_store.restore_numpy()
assert isinstance(np.asarray(storage), np.ndarray)
assert isinstance(np.asarray(numpy_array), np.ndarray)
assert isinstance(np.asarray(matrix), np.ndarray)
assert isinstance(np.array(storage), np.ndarray)
assert isinstance(np.array(matrix), np.ndarray)
assert isinstance(np.array(numpy_array), np.ndarray)
