def test_pickle_roundtrip():
ds = Data(1)
assert ds.isidentical(pickle.loads(pickle.dumps(ds)))
assert (ds + 1).isidentical(pickle.loads(pickle.dumps(ds + 1)))
es = Data(np.array([1, 2, 3]))
assert es.isidentical(pickle.loads(pickle.dumps(es)))
assert (es + 1).isidentical(pickle.loads(pickle.dumps(es + 1)))
def test_pickle_roundtrip():
ds = Data(1)
assert ds.isidentical(pickle.loads(pickle.dumps(ds)))
assert (ds + 1).isidentical(pickle.loads(pickle.dumps(ds + 1)))
es = Data(np.array([1, 2, 3]))
rs = pickle.loads(pickle.dumps(es))
assert (es.data == rs.data).all()
assert_dshape_equal(es.dshape, rs.dshape)
def test_serialization():
import pickle
t2 = pickle.loads(pickle.dumps(t))
assert t.schema == t2.schema
assert t._name == t2._name
def test_pickle_roundtrip():
t = symbol('t', 'var * int64')
expr = (t + 1).mean() # some expression with more than one node.
assert expr.isidentical(pickle.loads(pickle.dumps(expr)))
def test_pickle_roundtrip():
t = symbol("t", "var * int64")
expr = (t + 1).mean() # some expression with more than one node.
assert expr.isidentical(pickle.loads(pickle.dumps(expr, protocol=pickle.HIGHEST_PROTOCOL)))
def test_pickle_roundtrip():
t = symbol('t', 'var * int64')
expr = (t + 1).mean() # some expression with more than one node.
assert expr.isidentical(
pickle.loads(pickle.dumps(expr, protocol=pickle.HIGHEST_PROTOCOL), ))
def test_serialization():
import pickle
t2 = pickle.loads(pickle.dumps(t))
assert t.schema == t2.schema
assert t._name == t2._name
def test_pickle_roundtrip():
t = symbol('t', 'var * int64')
expr = (t + 1).mean() # some expression with more than one node.
assert expr.isidentical(pickle.loads(pickle.dumps(expr)))
