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pyomo/contrib/piecewise/ordered_3d_j1_triangulation_data.py

@@ -12,6 +12,7 @@
 from pyomo.common.dependencies import networkx as nx
 import itertools
 
+
 def _get_double_cube_graph():
     # Graph of a double cube
     sign_vecs = list(itertools.product((-1, 1), repeat=3))
@@ -41,6 +42,7 @@ def _get_double_cube_graph():
 
     return G
 
+
 """
 This code was used to generate the data structure in this file. It should never
 need to be run again, but is here for the sake of documentation:
@@ -103,6 +105,7 @@ def _get_double_cube_graph():
 
 """
 
+
 # This file was generated using generate_ordered_3d_j1_triangulation_data.py
 # Data format: Keys are a pair of simplices specified as the direction they are facing,
 # as a standard unit vector or negative of one, and a tag, 1 or 2, disambiguating which

pyomo/contrib/piecewise/tests/test_triangulations.py

@@ -225,6 +225,7 @@ def test_grid_hamiltonian_paths(self):
         self.check_grid_hamiltonian(3, 5)
         self.check_grid_hamiltonian(4, 3)
 
+
 @unittest.skipUnless(networkx_available, "Networkx is not available")
 class TestHamiltonianPaths(unittest.TestCase):
     def test_hamiltonian_paths(self):