Commit 81eb2b81 authored by Tiago Peixoto's avatar Tiago Peixoto

motif_significance(): Fix default arguments

parent 2e4e4cd6
...@@ -441,7 +441,7 @@ def _graph_sig(g): ...@@ -441,7 +441,7 @@ def _graph_sig(g):
def motif_significance(g, k, n_shuffles=100, p=1.0, motif_list=None, def motif_significance(g, k, n_shuffles=100, p=1.0, motif_list=None,
threshold=0, self_loops=False, parallel_edges=False, threshold=0, self_loops=False, parallel_edges=False,
full_output=False, shuffle_model="uncorrelated"): full_output=False, shuffle_model="configuration"):
r""" r"""
Obtain the motif significance profile, for subgraphs with k vertices. A Obtain the motif significance profile, for subgraphs with k vertices. A
tuple with two lists is returned: the list of motifs found, and their tuple with two lists is returned: the list of motifs found, and their
...@@ -475,7 +475,7 @@ def motif_significance(g, k, n_shuffles=100, p=1.0, motif_list=None, ...@@ -475,7 +475,7 @@ def motif_significance(g, k, n_shuffles=100, p=1.0, motif_list=None,
of each motif, the average count of each motif in the shuffled networks, of each motif, the average count of each motif in the shuffled networks,
and the standard deviation of the average count of each motif in the and the standard deviation of the average count of each motif in the
shuffled networks. shuffled networks.
shuffle_model : string (optional, default: "uncorrelated") shuffle_model : string (optional, default: "configuration")
Shuffle model to use. See :func:`~graph_tool.generation.random_rewire` Shuffle model to use. See :func:`~graph_tool.generation.random_rewire`
for details. for details.
......
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