Updated the `networkx` dependency to the latest version (`3.0`) and updated the code to reflect the change

setup-requirements.txt

@@ -1,5 +1,5 @@
 matplotlib==3.6.3
-networkx==2.8.8
+networkx==3.0
 numpy==1.24.1
 pandas==1.5.3
 scipy==1.10.0

src/pyctbn/legacy/estimators/structure_estimator.py

@@ -129,7 +129,7 @@ class StructureEstimator(object):
         :return: The adjacency matrix of the graph ``_complete_graph``
         :rtype: numpy.ndArray
         """
-        return nx.adj_matrix(self._complete_graph, self._nodes).toarray().astype(bool)
+        return nx.adjacency_matrix(self._complete_graph, self._nodes).toarray().astype(bool)
 
     def spurious_edges(self) -> typing.List:
         """Return the spurious edges present in the estimated structure, if a prior net structure is present in

tests/estimators/test_structure_estimator.py

@@ -103,7 +103,7 @@ class TestStructureEstimator(unittest.TestCase):
     def test_adjacency_matrix(self):
         se1 = StructureConstraintBasedEstimator(self.s1, 0.1, 0.1)
         se1.ctpc_algorithm()
-        adj_matrix = nx.adj_matrix(self.real_net_structure, self.s1.structure.nodes_labels).toarray().astype(bool)
+        adj_matrix = nx.adjacency_matrix(self.real_net_structure, self.s1.structure.nodes_labels).toarray().astype(bool)
         self.assertTrue(np.array_equal(adj_matrix, se1.adjacency_matrix()))
 
     def test_save_plot_estimated_graph(self):