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remove deprecated functions #17

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remove deprecated functions #17

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ba16663
remove deprecated functions
florian-huber Jun 19, 2023
4d2a566
fixes
florian-huber Jun 19, 2023
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19 changes: 8 additions & 11 deletions matchmsextras/networking.py
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Original file line number Diff line number Diff line change
Expand Up @@ -358,7 +358,7 @@ def erode_clusters(graph_main, max_cluster_size=100, keep_weights_above=0.8):
links_removed = []

# Split graph into separate clusters
graphs = list(nx.connected_component_subgraphs(graph_main))
graphs = [graph_main.subgraph(c) for c in nx.connected_components(graph_main)]

for graph in graphs:
cluster_size = len(graph.nodes)
Expand All @@ -380,7 +380,7 @@ def erode_clusters(graph_main, max_cluster_size=100, keep_weights_above=0.8):

# If link removal caused split of cluster:
if not nx.is_connected(graph):
subgraphs = list(nx.connected_component_subgraphs(graph))
subgraphs = [graph.subgraph(c) for c in nx.connected_components(graph)]
print("Getting from cluster with", len(graph.nodes),
"nodes, to clusters with",
[len(x.nodes) for x in subgraphs], "nodes.")
Expand Down Expand Up @@ -450,7 +450,7 @@ def split_cluster(graph_main,
"""

# Split graph into separate clusters
graphs = list(nx.connected_component_subgraphs(graph_main))
graphs = [graph_main.subgraph(c) for c in nx.connected_components(graph_main)]

links_removed = []
for i, graph in enumerate(graphs):
Expand Down Expand Up @@ -503,9 +503,7 @@ def split_cluster(graph_main,
pair[m * 2], pair[m * 2 + 1])

# Check if created subclustes are big enough:
subgraphs = list(
nx.connected_component_subgraphs(
new_graph_testing))
subgraphs = [new_graph_testing.subgraph(c) for c in nx.connected_components(new_graph_testing)]
min_size_after_cutting.append(
min([len(x.nodes) for x in subgraphs]))

Expand All @@ -531,8 +529,7 @@ def split_cluster(graph_main,
# Remove edge from main graph:
graph_main.remove_edge(pair[m * 2], pair[m * 2 + 1])
links_removed.append((pair[m * 2], pair[m * 2 + 1]))
subgraphs = list(
nx.connected_component_subgraphs(new_graph_testing))
subgraphs = [new_graph_testing.subgraph(c) for c in nx.connected_components(new_graph_testing)]

if int(pairs.shape[1] / 2) > 1:
print("Removed", int(pairs.shape[1] / 2), "edges:",
Expand Down Expand Up @@ -588,7 +585,7 @@ def refine_network(graph_main,
-------
"""
# Split graph into separate clusters
graphs = list(nx.connected_component_subgraphs(graph_main))
graphs = [graph_main.subgraph(c) for c in nx.connected_components(graph_main)]

links_removed = []
links_added = []
Expand All @@ -610,7 +607,7 @@ def refine_network(graph_main,
links_removed.extend(links)

# Split updated graph into separate clusters
graphs = list(nx.connected_component_subgraphs(graph_main))
graphs = [graph_main.subgraph(c) for c in nx.connected_components(graph_main)]
cluster_max = np.max([len(x.nodes) for x in graphs])
counter += 1

Expand Down Expand Up @@ -664,7 +661,7 @@ def evaluate_clusters(graph_main, m_sim_ref):
"""

# Split graph into separate clusters
graphs = list(nx.connected_component_subgraphs(graph_main))
graphs = [graph_main.subgraph(c) for c in nx.connected_components(graph_main)]

num_nodes = []
num_edges = []
Expand Down
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