def test_should_be_1_for_same_sets_with_random_sets(self):
fSet = generator.randomFuzzyList(100)
self.assertEqual(1, mink.sim(fSet, fSet))
fSet = generator.randomFuzzyList(1000)
self.assertEqual(1, mink.sim(fSet, fSet))
fSet = generator.randomFuzzyList(1000, 0.5, 0.7)
self.assertEqual(1, mink.sim(fSet, fSet))
def test_with_really_big_random_sets_value_will_still_approach_one(self):
first = generator.randomFuzzyList(100000)
second = generator.randomFuzzyList(100000)
sim = mink.sim(first, second)
print "Similarity of random sets of length 100k should approach 1. Calculated value: %s" % sim
self.assertAlmostEqual(1.0, sim, delta=0.01)
def test_with_completly_opposite_sets_few_elements(self):
zeros = [0, 0, 0, 0]
ones = [1, 1, 1, 1]
self.assertEqual(0.5, mink.sim(zeros, ones))
def test_should_be_1_for_same_sets_with_static_sets(self):
fSet = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
self.assertEqual(1, mink.sim(fSet, fSet))
fSet = generator.randomFuzzyList(100)
self.assertEqual(1, mink.sim(fSet, fSet))
def completly_different_sets(self, len, expected):
zeros = generator.singletonFuzzyList(length=len, value=0)
ones = generator.singletonFuzzyList(length=len, value=1)
self.assertAlmostEqual(expected,
mink.sim(zeros, ones),
delta=0.0000001)