'DiGraph' object has no attribute 'leaves'

[JacobH140]

I am trying to create a Clustering object as follows:

G = nx.DiGraph()
G.add_nodes_from(['A', 'B', 'C', 'D', 'E', 'F'])
G.add_edges_from([('E', 'A'), ('E', 'B'), ('F', 'C'), ('F', 'D')])

clu2elm_dict = {
    'A': [10, 11, 12, 13, 14],
    'B': [15, 16, 17, 18, 19],
    'C': [0, 1, 2, 3, 4],
    'D': [5, 6, 7, 8, 9]
}

clu = Clustering()
clu.from_digraph(hier_graph=G, clu2elm_dict=clu2elm_dict)

However, upon doing so I get error

File "/opt/miniconda3/envs/geodesicdcd/lib/python3.10/site-packages/clusim/clustering.py", line 660, in from_digraph
    self.hier_clusdict()
  File "/opt/miniconda3/envs/geodesicdcd/lib/python3.10/site-packages/clusim/clustering.py", line 678, in hier_clusdict
    self.hierclusdict[cluster] = self.downstream_elements(cluster)
  File "/opt/miniconda3/envs/geodesicdcd/lib/python3.10/site-packages/clusim/clustering.py", line 530, in downstream_elements
    if cluster in self.hier_graph.leaves():
AttributeError: 'DiGraph' object has no attribute 'leaves'

I think that one resolution is to just pass the nx.DiGraph() straight into the Clustering constructor, since then it will be turned into a DAG and thus have the required attributes once they are required. But I wonder if the from_digraph function should turn the input digraph into a DAG itself, or otherwise allow a DAG to be provided as input (i.e. change if not type(hier_graph) is nx.DiGraph to instead be if not isinstance(hier_graph, nx.DiGraph).