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test_util.py
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test_util.py
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import unittest
import json
import os
import igraph as ig
import networkx as nx
from py2cytoscape import util
import scipy as sp
import tempfile
# Utilities
def compare_edge_sets(nx_edges, cy_edges):
edge_set = set()
for cyedge in cy_edges:
source = cyedge['data']['source']
target = cyedge['data']['target']
edge = (int(source), int(target))
edge_set.add(edge)
return edge_set.difference(nx_edges)
class NetworkConversionTests(unittest.TestCase):
def setUp(self):
self.cur_dir = os.path.dirname(os.path.realpath(__file__))
pass
def test_networkx_emptynetwork(self):
g = nx.Graph()
cyjs_g = util.from_networkx(g)
print('\n---------- Empty Test Start -----------\n')
print(json.dumps(cyjs_g, indent=4))
self.assertIsNotNone(cyjs_g)
self.assertIsNotNone(cyjs_g['data'])
self.assertEqual(0, len(cyjs_g['elements']['nodes']))
self.assertEqual(0, len(cyjs_g['elements']['edges']))
def test_networkx_edge_attribute(self):
print('\n---------- Edge Att Test Start -----------\n')
g = nx.Graph()
g.add_edge(1, 2, interaction='itr1', score=0.1)
original_edge = g[1][2]
print(original_edge.keys())
cyjs = util.from_networkx(g)
print(json.dumps(cyjs, indent=4))
# There is only one edge, so this should be OK...
edge = cyjs['elements']['edges'][0]
print(json.dumps(edge, indent=4))
self.assertEqual('itr1', cyjs['elements']['edges'][0]['data']['interaction'])
def test_networkx_empty_edge_attribute(self):
print('\n---------- Edge Att Test 2 Start -----------\n')
g = nx.scale_free_graph(5)
cyjs = util.from_networkx(g)
# print(json.dumps(cyjs, indent=4))
# There is only one edge, so this should be OK...
edge = cyjs['elements']['edges'][0]
print(json.dumps(edge, indent=4))
self.assertEqual(3, len(edge['data']))
def test_networkx_digraph_edge_attr(self):
print('\n---------- Digraph Edge Att Test Start -----------\n')
g = nx.DiGraph()
g.add_path([0, 1, 2, 3, 4])
eb = nx.edge_betweenness(g)
nx.set_edge_attributes(g, 'eb', eb)
cyjs = util.from_networkx(g)
print(json.dumps(cyjs, indent=4))
# There is only one edge, so this should be OK...
edge = cyjs['elements']['edges'][0]
self.assertEqual(3, len(edge['data']))
def test_networkx_multidigraph_edge_attr(self):
print('\n---------- Multi-Digraph Edge Att Test Start -----------\n')
g = nx.MultiDiGraph()
g.add_node(1)
g.add_node(2)
g.add_node(3)
g.add_edge(1, 2)
g.add_edge(1, 2, attr_dict={'foo': 'bar'})
g.add_edge(1, 2)
g.add_edge(1, 3)
edges = g.edges(data=True, keys=True)
for edge in edges:
print(edge)
cyjs = util.from_networkx(g)
print(json.dumps(cyjs, indent=4))
edge = cyjs['elements']['edges'][0]
self.assertTrue(3 <= len(edge['data']))
def test_networkx_ba(self):
g = nx.barabasi_albert_graph(100, 3)
nodes = g.nodes()
edges = g.edges()
g.graph['name'] = 'ba test'
cyjs_g = util.from_networkx(g)
print('\n---------- BA graph Test Start -----------\n')
self.assertIsNotNone(cyjs_g)
self.assertIsNotNone(cyjs_g['data'])
self.assertEqual('ba test', cyjs_g['data']['name'])
self.assertEqual(len(nodes), len(cyjs_g['elements']['nodes']))
self.assertEqual(len(edges), len(cyjs_g['elements']['edges']))
diff = compare_edge_sets(set(edges), cyjs_g['elements']['edges'])
self.assertEqual(0, len(diff))
def test_networkx_matrix(self):
print('\n---------- Matrix Test Start -----------\n')
g = nx.barabasi_albert_graph(30, 2)
nodes = g.nodes()
edges = g.edges()
print(edges)
mx1 = nx.adjacency_matrix(g)
fp = tempfile.NamedTemporaryFile()
file_name = fp.name
sp.savetxt(file_name, mx1.toarray(), fmt='%d')
# Load it back to matrix
mx2 = sp.loadtxt(file_name)
fp.close()
g2 = nx.from_numpy_matrix(mx2)
cyjs_g = util.from_networkx(g2)
#print(json.dumps(cyjs_g, indent=4))
self.assertIsNotNone(cyjs_g)
self.assertIsNotNone(cyjs_g['data'])
self.assertEqual(len(nodes), len(cyjs_g['elements']['nodes']))
self.assertEqual(len(edges), len(cyjs_g['elements']['edges']))
# Make sure all edges are reproduced
print(set(edges))
diff = compare_edge_sets(set(edges), cyjs_g['elements']['edges'])
self.assertEqual(0, len(diff))
# def test_networkx_gml(self):
# g = nx.read_gml(self.cur_dir + '/data/galFiltered.gml')
# g.graph['name'] = 'gml_test'
#
# cyjs_g = util.from_networkx(g)
#
# print('\n---------- GML Test Start -----------\n')
# # print(json.dumps(cyjs_g, indent=4))
# self.assertIsNotNone(cyjs_g)
#
# net_data = cyjs_g['data']
# self.assertIsNotNone(net_data)
# self.assertEqual('gml_test', net_data['name'])
# self.assertEqual(331, len(cyjs_g['elements']['nodes']))
# self.assertEqual(362, len(cyjs_g['elements']['edges']))
#
# nodes = cyjs_g['elements']['nodes']
# node0 = nodes[0]
# self.assertEqual(type("1"), type(node0['data']['id']))
def test_networkx_scale_free(self):
g = nx.scale_free_graph(100)
edge_count = g.number_of_edges()
g.graph['name'] = 'scale_free_test'
cyjs_g = util.from_networkx(g)
print('\n---------- Scale free network Test Start -----------\n')
print('Edge count = ' + str(edge_count))
# print(json.dumps(cyjs_g, indent=4))
self.assertIsNotNone(cyjs_g)
net_data = cyjs_g['data']
self.assertIsNotNone(net_data)
self.assertEqual('scale_free_test', net_data['name'])
self.assertEqual(100, len(cyjs_g['elements']['nodes']))
self.assertEqual(edge_count, len(cyjs_g['elements']['edges']))
nodes = cyjs_g['elements']['nodes']
node0 = nodes[0]
self.assertEqual(type("1"), type(node0['data']['id']))
def test_networkx_parse_network(self):
f = open(self.cur_dir + '/data/galFiltered.json', 'r')
jsonData = json.load(f)
j_nodes = jsonData['elements']['nodes']
j_edges = jsonData['elements']['edges']
print('\n---------- JSON Loading Test Start -----------\n')
# print(json.dumps(jsonData, indent=4))
g = util.to_networkx(jsonData)
nodes = g.nodes()
edges = g.edges()
self.assertEqual('Yeast Network Sample', g.graph['name'])
self.assertEqual('Sample network created by JSON export.', g.graph['description'])
self.assertEqual(4, len(g.graph['numberList']))
self.assertEqual(len(j_nodes), len(nodes))
self.assertEqual(len(j_edges), len(edges))
edge_set = set(list(map(lambda x: (int(x[0]), int(x[1])), edges)))
self.assertEqual(0, len(compare_edge_sets(edge_set, j_edges)))
def test_networkx_roundtrip(self):
print('\n---------- NetworkX Data Roundtrip Test Start -----------\n')
g = nx.newman_watts_strogatz_graph(100, 3, 0.5)
nodes = g.nodes()
edges = g.edges()
# Add some attributes
g.graph['name'] = 'original'
g.graph['density'] = nx.density(g)
nx.set_node_attributes(g, 'betweenness', nx.betweenness_centrality(g))
nx.set_node_attributes(g, 'degree', nx.degree(g))
nx.set_node_attributes(g, 'closeness', nx.closeness_centrality(g))
nx.set_edge_attributes(g, 'eb', nx.edge_betweenness(g))
cyjs1 = util.from_networkx(g)
g2 = util.to_networkx(cyjs1)
self.assertEqual(len(g2.nodes()), len(nodes))
self.assertEqual(len(g2.edges()), len(edges))
edge_set = set(list(map(lambda x: (int(x[0]), int(x[1])), g2.edges())))
self.assertEqual(0, len(edge_set.difference(set(edges))))
node_original = g.node[1]
node_generated = g2.node['1']
print(node_original)
print(node_generated)
self.assertEqual(node_original['degree'], node_generated['degree'])
self.assertEqual(node_original['betweenness'], node_generated['betweenness'])
self.assertEqual(node_original['closeness'], node_generated['closeness'])
def test_from_igraph(self):
print('---------- From igraph object to Cytoscape.js -----------\n')
empty = ig.Graph()
cyjs = util.from_igraph(empty)
print(json.dumps(cyjs, indent=4))
self.assertIsNotNone(cyjs)
self.assertIsNotNone(cyjs['data'])
self.assertEqual(0, len(cyjs['elements']['nodes']))
self.assertEqual(0, len(cyjs['elements']['edges']))
def test_to_igraph(self):
print('---------- Cytoscape.js to igraph object -----------\n')
from py2cytoscape.util.util_igraph import to_igraph
f = open(self.cur_dir + '/data/galFiltered.json', 'r')
network = json.load(f)
g = to_igraph(network)
self.assertIsNotNone(g)
nodes = g.vs
edges = g.es
self.assertEqual(len(network['elements']['nodes']), len(nodes))
self.assertEqual(len(network['elements']['edges']), len(edges))
self.assertEqual('Yeast Network Sample', g['name'])
self.assertEqual('Yeast Sample', g['shared_name'])
net_names = g.attributes()
print(net_names)
self.assertEqual(type([]), type(g['numberList']))
self.assertEqual(type([]), type(g['floatList']))
self.assertEqual(type(u""), type(g['description']))
self.assertEqual(10, len(net_names))
na_names = g.vs.attribute_names()
self.assertEqual(31, len(na_names))
ea_names = g.es.attribute_names()
self.assertEqual(8, len(ea_names))
def test_from_igraph_random(self):
print('---------- From igraph random network object to Cytoscape.js -----------\n')
ba_graph = ig.Graph.Barabasi(100, 3)
ba_graph['name'] = 'Barabasi'
ba_graph['number_attr'] = 12345
ba_graph.vs['degree'] = ba_graph.degree()
ba_graph.vs['bw'] = ba_graph.betweenness()
ba_graph.es['ebw'] = ba_graph.edge_betweenness()
cyjs = util.from_igraph(ba_graph)
# print(json.dumps(cyjs, indent=4))
self.assertIsNotNone(cyjs)
self.assertIsNotNone(cyjs['data'])
self.assertEqual('Barabasi', cyjs['data']['name'])
self.assertEqual(12345, cyjs['data']['number_attr'])
cyjs_nodes = cyjs['elements']['nodes']
cyjs_edges = cyjs['elements']['edges']
self.assertEqual(len(ba_graph.vs), len(cyjs_nodes))
self.assertEqual(len(ba_graph.es), len(cyjs_edges))
self.assertEqual(ba_graph.vs[0]['degree'], cyjs_nodes[0]['data']['degree'])
self.assertEqual(ba_graph.vs[0]['bw'], cyjs_nodes[0]['data']['bw'])
# Test edge
target_edge = ba_graph.es[10]
edge0 = None
for e in cyjs_edges:
if e['data']['source'] == str(target_edge.source) \
and e['data']['target'] == str(target_edge.target):
edge0 = e
break
self.assertIsNotNone(edge0)
self.assertEqual(target_edge['ebw'], edge0['data']['ebw'])
if __name__ == '__main__':
unittest.main()