3db0f69797d05b8090e4f1c72e9428991e3f2ff0,tests/mapper/test_node_mappers.py,,example_hin_2,#Any#,55

Before Change

    // Create isolated graphs
    G = nx.Graph()
    G.add_nodes_from(nodes_type_1, label="t1")
    G.add_nodes_from(nodes_type_2, label="t2")
    G.add_edges_from([(0, 4), (1, 4), (2, 5), (3, 5)], label="e1")

    // Add example features
    if feature_size_by_type is not None:
        for v, vdata in G.nodes(data=True):
            nt = vdata["label"]
            vdata["feature"] = int(v) * np.ones(feature_size_by_type[nt], dtype="int")

        G = StellarGraph(G, node_features="feature")

    else:
        G = StellarGraph(G)

    return G, nodes_type_1, nodes_type_2


def example_hin_3(feature_size_by_type=None):

After Change

def example_hin_2(feature_size_by_type=None):
    if feature_size_by_type is None:
        feature_size_by_type = {"t1": None, "t2": None}

    nodes_type_1 = [0, 1, 2, 3]
    nodes_type_2 = [4, 5]
    nodes = {
        "t1": pd.DataFrame(
            repeated_features(nodes_type_1, feature_size_by_type["t1"]),
            index=nodes_type_1,
        ),
        "t2": pd.DataFrame(
            repeated_features(nodes_type_2, feature_size_by_type["t2"]),
            index=nodes_type_2,
        ),
    }
    edges = {
        "e1": pd.DataFrame(
            [(0, 4), (1, 4), (2, 5), (3, 5)], columns=["source", "target"]
        )
    }

    return StellarGraph(nodes, edges), nodes_type_1, nodes_type_2


def example_hin_3(feature_size_by_type=None):

Instances