old_contents: #!/usr/bin/env python
  from nose.tools import *
  from nose import SkipTest
  import networkx
  
  class TestFlowClosenessCentrality(object):
      numpy=1 # nosetests attribute, use nosetests -a 'not numpy' to skip test
      @classmethod
      def setupClass(cls):
          global np
          try:
              import numpy as np
              import scipy
          except ImportError:
              raise SkipTest('NumPy not available.')
          
          
      def test_K4(self):
          """Closeness centrality: K4"""
          G=networkx.complete_graph(4)
          b=networkx.current_flow_closeness_centrality(G)
          b_answer={0: 2.0/3, 1: 2.0/3, 2: 2.0/3, 3: 2.0/3}
          for n in sorted(G):
              assert_almost_equal(b[n],b_answer[n])
  
  
      def test_P4(self):
          """Closeness centrality: P4"""
          G=networkx.path_graph(4)
          b=networkx.current_flow_closeness_centrality(G)
          b_answer={0: 1.0/6, 1: 1.0/4, 2: 1.0/4, 3:1.0/6}
          for n in sorted(G):
              assert_almost_equal(b[n],b_answer[n])
  
      def test_star(self):
          """Closeness centrality: star """
          G=networkx.Graph()
          G.add_star(['a','b','c','d'])
          b=networkx.current_flow_closeness_centrality(G)
          b_answer={'a': 1.0/4, 'b': 0.6/4, 'c': 0.6/4, 'd':0.6/4}
          for n in sorted(G):
              assert_almost_equal(b[n],b_answer[n])
  
  
  
  class TestWeightedFlowClosenessCentrality(object):
      pass
  
new_contents: #!/usr/bin/env python
  from nose.tools import *
  from nose import SkipTest
  import networkx
  
  class TestFlowClosenessCentrality(object):
      numpy=1 # nosetests attribute, use nosetests -a 'not numpy' to skip test
      @classmethod
      def setupClass(cls):
          global np
          try:
              import numpy as np
              import scipy
          except ImportError:
              raise SkipTest('NumPy not available.')
          
          
      def test_K4(self):
          """Closeness centrality: K4"""
          G=networkx.complete_graph(4)
          b=networkx.current_flow_closeness_centrality(G)
          b_answer={0: 2.0/3, 1: 2.0/3, 2: 2.0/3, 3: 2.0/3}
          for n in sorted(G):
              assert_almost_equal(b[n],b_answer[n])
  
  
      def test_P4(self):
          """Closeness centrality: P4"""
          G=networkx.path_graph(4)
          b=networkx.current_flow_closeness_centrality(G)
          b_answer={0: 1.0/6, 1: 1.0/4, 2: 1.0/4, 3:1.0/6}
          for n in sorted(G):
              assert_almost_equal(b[n],b_answer[n])
  
      def test_star(self):
          """Closeness centrality: star """
          G=networkx.Graph()
          G.add_star(['a','b','c','d'])
          b=networkx.current_flow_closeness_centrality(G)
          b_answer={'a': 1.0/3, 'b': 0.6/3, 'c': 0.6/3, 'd':0.6/3}
          for n in sorted(G):
              assert_almost_equal(b[n],b_answer[n])
  
  
  
  class TestWeightedFlowClosenessCentrality(object):
      pass
  
subject: Fix failing test