def test_weighted_consensus_from_scored_trees_collection_ii(self):
"""root positions in input tree collection should not effect result"""
sct = LogLikelihoodScoredTreeCollection(self.trees_randomly_rooted)
ctrr = sct.getConsensusTree()
sct = LogLikelihoodScoredTreeCollection(self.trees_rooted_at_A)
ctra = sct.getConsensusTree()
self.assertTrue(ctrr.sameTopology(ctra))
def test_weighted_consensus_from_scored_trees_collection_ii(self):
"""root positions in input tree collection should not effect result"""
sct = LogLikelihoodScoredTreeCollection(self.trees_randomly_rooted)
ctrr = sct.getConsensusTree()
sct = LogLikelihoodScoredTreeCollection(self.trees_rooted_at_A)
ctra = sct.getConsensusTree()
self.assertTrue(ctrr.sameTopology(ctra))
def test_weighted_consensus_from_scored_trees_collection(self):
"""weighted consensus from a tree collection should be different"""
sct = LogLikelihoodScoredTreeCollection(self.scored_trees)
ct = sct.getConsensusTree()
self.assertTrue(ct.sameTopology(Tree("((a,b),c,d);")))
def test_consensus_from_scored_trees_collection(self):
"""tree collection should get same consensus as direct approach"""
tree_list = [(1, t) for t in self.trees]
sct = LogLikelihoodScoredTreeCollection(tree_list)
ct = sct.getConsensusTree()
self.assertTrue(ct.sameTopology(Tree("((c,d),a,b);")))
def test_weighted_consensus_from_scored_trees_collection(self):
"""weighted consensus from a tree collection should be different"""
sct = LogLikelihoodScoredTreeCollection(self.scored_trees)
ct = sct.getConsensusTree()
self.assertTrue(ct.sameTopology(Tree("((a,b),(c,d));")))
def test_consensus_from_scored_trees_collection(self):
"""tree collection should get same consensus as direct approach"""
sct = LogLikelihoodScoredTreeCollection([(1, t) for t in self.trees])
ct = sct.getConsensusTree()
self.assertTrue(ct.sameTopology(Tree("((c,d),(a,b));")))
