1 files changed, 0 insertions, 103 deletions
diff --git a/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/tests/test_block.py b/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/tests/test_block.py
deleted file mode 100644
index 281e385..0000000
--- a/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/tests/test_block.py
+++ /dev/null
@@ -1,103 +0,0 @@
-#!/usr/bin/env python
-from nose.tools import *
-import networkx
-
-class TestBlock:
-
-    def test_path(self):
-        G=networkx.path_graph(6)
-        partition=[[0,1],[2,3],[4,5]]
-        M=networkx.blockmodel(G,partition)
-        assert_equal(sorted(M.nodes()),[0,1,2])
-        assert_equal(sorted(M.edges()),[(0,1),(1,2)])
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],1)
-            assert_equal(M.node[n]['nnodes'],2)
-            assert_equal(M.node[n]['density'],1.0)
-
-    def test_multigraph_path(self):
-        G=networkx.MultiGraph(networkx.path_graph(6))
-        partition=[[0,1],[2,3],[4,5]]
-        M=networkx.blockmodel(G,partition,multigraph=True)
-        assert_equal(sorted(M.nodes()),[0,1,2])
-        assert_equal(sorted(M.edges()),[(0,1),(1,2)])
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],1)
-            assert_equal(M.node[n]['nnodes'],2)
-            assert_equal(M.node[n]['density'],1.0)
-
-    def test_directed_path(self):
-        G = networkx.DiGraph()
-        G.add_path(list(range(6)))
-        partition=[[0,1],[2,3],[4,5]]
-        M=networkx.blockmodel(G,partition)
-        assert_equal(sorted(M.nodes()),[0,1,2])
-        assert_equal(sorted(M.edges()),[(0,1),(1,2)])
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],1)
-            assert_equal(M.node[n]['nnodes'],2)
-            assert_equal(M.node[n]['density'],0.5)
-
-    def test_directed_multigraph_path(self):
-        G = networkx.MultiDiGraph()
-        G.add_path(list(range(6)))
-        partition=[[0,1],[2,3],[4,5]]
-        M=networkx.blockmodel(G,partition,multigraph=True)
-        assert_equal(sorted(M.nodes()),[0,1,2])
-        assert_equal(sorted(M.edges()),[(0,1),(1,2)])
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],1)
-            assert_equal(M.node[n]['nnodes'],2)
-            assert_equal(M.node[n]['density'],0.5)
-
-    @raises(networkx.NetworkXException)
-    def test_overlapping(self):
-        G=networkx.path_graph(6)
-        partition=[[0,1,2],[2,3],[4,5]]
-        M=networkx.blockmodel(G,partition)
-
-    def test_weighted_path(self):
-        G=networkx.path_graph(6)
-        G[0][1]['weight']=1
-        G[1][2]['weight']=2
-        G[2][3]['weight']=3
-        G[3][4]['weight']=4
-        G[4][5]['weight']=5
-        partition=[[0,1],[2,3],[4,5]]
-        M=networkx.blockmodel(G,partition)
-        assert_equal(sorted(M.nodes()),[0,1,2])
-        assert_equal(sorted(M.edges()),[(0,1),(1,2)])
-        assert_equal(M[0][1]['weight'],2)
-        assert_equal(M[1][2]['weight'],4)
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],1)
-            assert_equal(M.node[n]['nnodes'],2)
-            assert_equal(M.node[n]['density'],1.0)
-
-
-    def test_barbell(self):
-        G=networkx.barbell_graph(3,0)
-        partition=[[0,1,2],[3,4,5]]
-        M=networkx.blockmodel(G,partition)
-        assert_equal(sorted(M.nodes()),[0,1])
-        assert_equal(sorted(M.edges()),[(0,1)])
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],3)
-            assert_equal(M.node[n]['nnodes'],3)
-            assert_equal(M.node[n]['density'],1.0)
-
-    def test_barbell_plus(self):
-        G=networkx.barbell_graph(3,0)
-        G.add_edge(0,5) # add extra edge between bells
-        partition=[[0,1,2],[3,4,5]]
-        M=networkx.blockmodel(G,partition)
-        assert_equal(sorted(M.nodes()),[0,1])
-        assert_equal(sorted(M.edges()),[(0,1)])
-        assert_equal(M[0][1]['weight'],2)
-        for n in M.nodes():
-            assert_equal(M.node[n]['nedges'],3)
-            assert_equal(M.node[n]['nnodes'],3)
-            assert_equal(M.node[n]['density'],1.0)
-        
-
-