Allow dispatcher decorator without a namenx-sparse

- Name is taken from the decorated function
- Raise error if backend doesn't implement a decorated function which is called
- Check for duplicate names for dispatching algorithms

1 files changed, 3 insertions, 3 deletions

diff --git a/networkx/algorithms/cluster.py b/networkx/algorithms/cluster.py
index 159aba78..83596c94 100644
--- a/networkx/algorithms/cluster.py
+++ b/networkx/algorithms/cluster.py
@@ -220,7 +220,7 @@ def _directed_weighted_triangles_and_degree_iter(G, nodes=None, weight="weight")
         yield (i, dtotal, dbidirectional, directed_triangles)
 
 
-@nx.dispatch("average_clustering")
+@nx.dispatch(name="average_clustering")
 def average_clustering(G, nodes=None, weight=None, count_zeros=True):
     r"""Compute the average clustering coefficient for the graph G.
 
@@ -280,7 +280,7 @@ def average_clustering(G, nodes=None, weight=None, count_zeros=True):
     return sum(c) / len(c)
 
 
-@nx.dispatch("clustering")
+@nx.dispatch(name="clustering")
 def clustering(G, nodes=None, weight=None):
     r"""Compute the clustering coefficient for nodes.
 
@@ -433,7 +433,7 @@ def transitivity(G):
     return 0 if triangles == 0 else triangles / contri
 
 
-@nx.dispatch("square_clustering")
+@nx.dispatch(name="square_clustering")
 def square_clustering(G, nodes=None):
     r"""Compute the squares clustering coefficient for nodes.