def test_sorensen_tversky_as_set(self):
for s1, s2 in self.test_cases:
with self.subTest(s1=s1, s2=s2):
self.assertAlmostEqual(
textdistance.Sorensen(as_set=True).distance(s1, s2),
textdistance.Tversky(as_set=True, ks=[.5, .5]).distance(s1, s2),
)
def test_jaccard_tversky_as_set(self):
for s1, s2 in self.test_cases:
with self.subTest(s1=s1, s2=s2):
self.assertAlmostEqual(
textdistance.Jaccard(as_set=True).distance(s1, s2),
textdistance.Tversky(as_set=True, ks=[1, 1]).distance(s1, s2),
)
def test_sorensen_tversky(self):
for s1, s2 in self.test_cases:
with self.subTest(s1=s1, s2=s2):
self.assertAlmostEqual(
textdistance.sorensen.distance(s1, s2),
textdistance.Tversky(ks=[.5, .5]).distance(s1, s2),
)
def test_jaccard_tversky(self):
for s1, s2 in self.test_cases:
with self.subTest(s1=s1, s2=s2):
self.assertAlmostEqual(
textdistance.jaccard.distance(s1, s2),
textdistance.Tversky(ks=[1, 1]).distance(s1, s2),
)
def test_common(self):
self.assertAlmostEqual(self.alg.similarity('test', 'text'), 3.0 / 5)
self.assertAlmostEqual(self.alg.similarity('nelson', 'neilsen'), 5.0 / 8)
self.assertAlmostEqual(self.alg.similarity('decide', 'resize'), 3.0 / 9)
td = float(textdistance.Tversky(ks=[1, 1]).distance('nelson', 'neilsen'))
jd = float(textdistance.jaccard.distance('nelson', 'neilsen'))
self.assertAlmostEqual(jd, td)
def test_common(self):
self.assertAlmostEqual(self.alg.similarity('test', 'text'),
2.0 * 3 / 8)
td = float(
textdistance.Tversky(ks=[.5, .5]).distance('nelson', 'neilsen'))
sd = float(textdistance.sorensen.distance('nelson', 'neilsen'))
self.assertAlmostEqual(sd, td)
