Exemplo n.º 1
0
def test_clone(layers):
    dsk1 = {("a", h1): 1, ("a", h2): 2}
    dsk2 = {"b": (add, ("a", h1), ("a", h2))}
    dsk3 = {"c": 1, "d": 1}  # Multiple names
    if layers:
        dsk1 = HighLevelGraph.from_collections("a", dsk1)
        dsk2 = HighLevelGraph({
            "a": dsk1,
            "b": dsk2
        },
                              dependencies={
                                  "a": set(),
                                  "b": {"a"}
                              })
        dsk3 = HighLevelGraph.from_collections("c", dsk3)
    else:
        dsk2.update(dsk1)

    t1 = Tuple(dsk1, [("a", h1), ("a", h2)])
    t2 = Tuple(dsk2, ["b"])
    t3 = Tuple(dsk3, ["c"])

    c1 = clone(t2, seed=1, assume_layers=layers)
    c2 = clone(t2, seed=1, assume_layers=layers)
    c3 = clone(t2, seed=2, assume_layers=layers)
    c4 = clone(c1, seed=1,
               assume_layers=layers)  # Clone of a clone has different keys
    c5 = clone(t2, assume_layers=layers)  # Random seed
    c6 = clone(t2, assume_layers=layers)  # Random seed
    c7 = clone(t2, omit=t1, seed=1, assume_layers=layers)

    assert c1.__dask_graph__() == c2.__dask_graph__()
    assert_no_common_keys(c1, t2, layers=layers)
    assert_no_common_keys(c1, c3, layers=layers)
    assert_no_common_keys(c1, c4, layers=layers)
    assert_no_common_keys(c1, c5, layers=layers)
    assert_no_common_keys(c5, c6, layers=layers)
    assert_no_common_keys(c7, t2, omit=t1, layers=layers)
    assert dask.compute(t2, c1, c2, c3, c4, c5, c6, c7) == ((3, ), ) * 8

    # Clone nested; some of the collections in omit are unrelated
    out = clone({"x": [t2]}, omit={"y": [t1, t3]}, assume_layers=layers)
    assert dask.compute(out) == ({"x": [(3, )]}, )
    c8 = out["x"][0]
    assert_no_common_keys(c8, t2, omit=t1, layers=layers)
    assert_no_common_keys(c8, t3, layers=layers)
Exemplo n.º 2
0
def test_bind(layers):
    dsk1 = {("a-1", h1): 1, ("a-1", h2): 2}
    dsk2 = {"b-1": (add, ("a-1", h1), ("a-1", h2))}
    dsk3 = {"c-1": "b-1"}
    cnt = NodeCounter()
    dsk4 = {("d-1", h1): (cnt.f, 1), ("d-1", h2): (cnt.f, 2)}

    if layers:
        dsk1 = HighLevelGraph.from_collections("a-1", dsk1)
        dsk2 = HighLevelGraph(
            {"a-1": dsk1, "b-1": dsk2}, dependencies={"a-1": set(), "b-1": {"a-1"}}
        )
        dsk3 = HighLevelGraph(
            {"a-1": dsk1, "b-1": dsk2, "c-1": dsk3},
            dependencies={"a-1": set(), "b-1": {"a-1"}, "c-1": {"b-1"}},
        )
        dsk4 = HighLevelGraph.from_collections("d-1", dsk4)
    else:
        dsk2.update(dsk1)
        dsk3.update(dsk2)

    # t1 = Tuple(dsk1, [("a", h1), ("a", h2)])
    t2 = Tuple(dsk2, ["b-1"])
    t3 = Tuple(dsk3, ["c-1"])
    t4 = Tuple(dsk4, [("d-1", h1), ("d-1", h2)])

    bound1 = bind(t3, t4, seed=1, assume_layers=layers)
    cloned_a_name = clone_key("a-1", seed=1)
    assert bound1.__dask_graph__()[cloned_a_name, h1][0] is chunks.bind
    assert bound1.__dask_graph__()[cloned_a_name, h2][0] is chunks.bind
    assert bound1.compute() == (3,)
    assert cnt.n == 2

    bound2 = bind(t3, t4, omit=t2, seed=1, assume_layers=layers)
    cloned_c_name = clone_key("c-1", seed=1)
    assert bound2.__dask_graph__()[cloned_c_name][0] is chunks.bind
    assert bound2.compute() == (3,)
    assert cnt.n == 4
def test_bind(layers):
    dsk1 = {("a-1", h1): 1, ("a-1", h2): 2}
    dsk2 = {"b-1": (add, ("a-1", h1), ("a-1", h2))}
    dsk3 = {"c-1": "b-1"}
    cnt = NodeCounter()
    dsk4 = {("d-1", h1): (cnt.f, 1), ("d-1", h2): (cnt.f, 2)}
    dsk4b = {"e": (cnt.f, 3)}

    if layers:
        dsk1 = HighLevelGraph({"a-1": dsk1}, {"a-1": set()})
        dsk2 = HighLevelGraph(
            {"a-1": dsk1, "b-1": dsk2}, {"a-1": set(), "b-1": {"a-1"}}
        )
        dsk3 = HighLevelGraph(
            {"a-1": dsk1, "b-1": dsk2, "c-1": dsk3},
            {"a-1": set(), "b-1": {"a-1"}, "c-1": {"b-1"}},
        )
        dsk4 = HighLevelGraph({"d-1": dsk4, "e": dsk4b}, {"d-1": set(), "e": set()})
    else:
        dsk2.update(dsk1)
        dsk3.update(dsk2)
        dsk4.update(dsk4b)

    # t1 = Tuple(dsk1, [("a", h1), ("a", h2)])
    t2 = Tuple(dsk2, ["b-1"])
    t3 = Tuple(dsk3, ["c-1"])
    t4 = Tuple(dsk4, [("d-1", h1), ("d-1", h2), "e"])  # Multiple names

    bound1 = bind(t3, t4, seed=1, assume_layers=layers)
    cloned_a_name = clone_key("a-1", seed=1)
    assert bound1.__dask_graph__()[cloned_a_name, h1][0] is chunks.bind
    assert bound1.__dask_graph__()[cloned_a_name, h2][0] is chunks.bind
    assert bound1.compute() == (3,)
    assert cnt.n == 3

    bound2 = bind(t3, t4, omit=t2, seed=1, assume_layers=layers)
    cloned_c_name = clone_key("c-1", seed=1)
    assert bound2.__dask_graph__()[cloned_c_name][0] is chunks.bind
    assert bound2.compute() == (3,)
    assert cnt.n == 6

    bound3 = bind(t4, t3, seed=1, assume_layers=layers)
    cloned_d_name = clone_key("d-1", seed=1)
    cloned_e_name = clone_key("e", seed=1)
    assert bound3.__dask_graph__()[cloned_d_name, h1][0] is chunks.bind
    assert bound3.__dask_graph__()[cloned_d_name, h2][0] is chunks.bind
    assert bound3.__dask_graph__()[cloned_e_name][0] is chunks.bind
    assert bound3.compute() == (1, 2, 3)
    assert cnt.n == 9