def testZipfDistribution(self):
# Following Zipf's Law with alpha equals 1: the first in rank is two times
# more probable/frequent that the second in rank, three times more prob/freq
# that the third in rank and so on.
d = algorithmic.zipf_distribution(10, 1.0001)
for i in xrange(len(d[1:])-1):
self.assertEqual("%.4f" % (abs(d[i+1]-d[i+2])*(i+2)), "%.4f" % d[1])
def testZipfDistribution(self):
# Following Zipf's Law with alpha equals 1: the first in rank is two times
# more probable/frequent that the second in rank, three times more prob/freq
# that the third in rank and so on.
d = algorithmic.zipf_distribution(10, 1.0001)
for i in range(len(d[1:])-1):
self.assertEqual("%.4f" % (abs(d[i+1]-d[i+2])*(i+2)), "%.4f" % d[1])
