def test_serializability():
state = da.random.RandomState(5)
x = state.normal(10, 1, size=10, chunks=5)
y = _loads(_dumps(x))
assert (x.compute() == y.compute()).all()
def test_serializability():
state = da.random.RandomState(5)
x = state.normal(10, 1, size=10, chunks=5)
y = _loads(_dumps(x))
assert (x.compute() == y.compute()).all()
def test_serializability():
state = da.random.RandomState(5)
x = state.normal(10, 1, size=10, chunks=5)
y = _loads(_dumps(x))
assert_eq(x, y)
def test_serializability():
state = da.random.RandomState(5)
x = state.normal(10, 1, size=10, chunks=5)
y = _loads(_dumps(x))
assert_eq(x, y)
def test_pickle_globals():
""" For the function f(x) defined below, the only globals added in pickling
should be 'np' and '__builtins__'"""
def f(x):
return np.sin(x) + np.cos(x)
assert set(["np", "__builtins__"]) == set(_loads(_dumps(f)).__globals__.keys())
def test_pickle_globals():
""" For the function f(x) defined below, the only globals added in pickling
should be 'np' and '__builtins__'"""
def f(x):
return np.sin(x) + np.cos(x)
assert set(['np',
'__builtins__']) == set(_loads(_dumps(f)).__globals__.keys())
def test_pickle_kwargs():
"""Test that out-of-band pickling works
Note cloudpickle does not support this argument:
https://github.com/cloudpipe/cloudpickle/issues/213
"""
b = _dumps(my_small_function_global, fix_imports=True)
assert b"my_small_function_global" in b
assert b"unrelated_function_global" not in b
assert b"numpy" not in b
my_small_function_global_2 = _loads(b, fix_imports=True)
assert my_small_function_global_2(2, 3) == 5
def test_out_of_band_pickling():
"""Test that out-of-band pickling works"""
np = pytest.importorskip("numpy")
a = np.arange(5)
l = []
b = _dumps(a, buffer_callback=l.append)
assert len(l) == 1
assert isinstance(l[0], pickle.PickleBuffer)
assert memoryview(l[0]) == memoryview(a)
a2 = _loads(b, buffers=l)
assert np.all(a == a2)
def test_out_of_band_pickling():
"""Test that out-of-band pickling works"""
if has_cloudpickle:
if cloudpickle.__version__ < LooseVersion("1.3.0"):
pytest.skip("when using cloudpickle, it must be version 1.3.0+")
a = np.arange(5)
l = []
b = _dumps(a, buffer_callback=l.append)
assert len(l) == 1
assert isinstance(l[0], pickle.PickleBuffer)
assert memoryview(l[0]) == memoryview(a)
a2 = _loads(b, buffers=l)
assert np.all(a == a2)