blob: b628b6f24c76c10730abb7e2c6ad198a08d3a097 [file] [log] [blame]
import unittest
from altgraph import GraphStat
from altgraph import Graph
import sys
class TestDegreesDist (unittest.TestCase):
def test_simple(self):
a = Graph.Graph()
self.assertEqual(GraphStat.degree_dist(a), [])
a.add_node(1)
a.add_node(2)
a.add_node(3)
self.assertEqual(GraphStat.degree_dist(a), GraphStat._binning([0, 0, 0]))
for x in range(100):
a.add_node(x)
for x in range(1, 100):
for y in range(1, 50):
if x % y == 0:
a.add_edge(x, y)
counts_inc = []
counts_out = []
for n in a:
counts_inc.append(a.inc_degree(n))
counts_out.append(a.out_degree(n))
self.assertEqual(GraphStat.degree_dist(a), GraphStat._binning(counts_out))
self.assertEqual(GraphStat.degree_dist(a, mode='inc'), GraphStat._binning(counts_inc))
class TestBinning (unittest.TestCase):
def test_simple(self):
# Binning [0, 100) into 10 bins
a = list(range(100))
out = GraphStat._binning(a, limits=(0, 100), bin_num=10)
self.assertEqual(out,
[ (x*1.0, 10) for x in range(5, 100, 10) ])
# Check that outliers are ignored.
a = list(range(100))
out = GraphStat._binning(a, limits=(0, 90), bin_num=9)
self.assertEqual(out,
[ (x*1.0, 10) for x in range(5, 90, 10) ])
out = GraphStat._binning(a, limits=(0, 100), bin_num=15)
binSize = 100 / 15.0
result = [0]*15
for i in range(100):
bin = int(i/binSize)
try:
result[bin] += 1
except IndexError:
pass
result = [ (i * binSize + binSize/2, result[i]) for i in range(len(result))]
self.assertEqual(result, out)
if __name__ == "__main__": # pragma: no cover
unittest.main()