def test_complete_agreement(self):
'''
Calculate mean permuted pairwise WindowDiff on a theoretical dataset
containing complete agreement.
'''
self.assertAlmostEquals(
summarize(
window_diff(COMPLETE_AGREEMENT,
lamprier_et_al_2007_fix=False)),
(0.0, 0.0, 0.0, 0.0, 48))
self.assertAlmostEquals(
summarize(
window_diff(COMPLETE_AGREEMENT, lamprier_et_al_2007_fix=True)),
(0.0, 0.0, 0.0, 0.0, 48))
def test_dataset_kwargs(self):
'''
Calculate mean permuted pairwise Pk on a theoretical dataset
containing complete agreement.
'''
self.assertAlmostEquals(summarize(pk(dataset=COMPLETE_AGREEMENT)),
(0.0, 0.0, 0.0, 0.0, 48))
def test_large_disagreement(self):
'''
Calculate mean permuted pairwise Pk on a theoretical dataset
containing large disagreement.
'''
self.assertAlmostEquals(summarize(pk(LARGE_DISAGREEMENT)),
(1.0, 0.0, 0.0, 0.0, 8))
def test_kazantseva2012_g5(self):
'''
Calculate permuted pairwise WindowDiff on Group 5 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(
summarize(
window_diff(KAZANTSEVA2012_G5, lamprier_et_al_2007_fix=False)),
(Decimal('0.42514977232721135'), Decimal('0.14960495739111837'),
Decimal('0.02238164327599834'), Decimal('0.02159361560546617'),
48))
self.assertAlmostEquals(
summarize(
window_diff(KAZANTSEVA2012_G5, lamprier_et_al_2007_fix=True)),
(Decimal('0.3981624488837195'), Decimal('0.1499358110615409'),
Decimal('0.022480747438682093'), Decimal('0.021641370219386377'),
48))
def test_large_disagreement(self):
'''
Calculate mean permuted pairwise WindowDiff on a theoretical dataset
containing large disagreement.
'''
val = summarize(
window_diff(LARGE_DISAGREEMENT, lamprier_et_al_2007_fix=False))
self.assertAlmostEquals(
val, (Decimal('1'), Decimal('0'), Decimal('0'), Decimal('0'), 8))
def test_complete_agreement(self):
'''
Calculate mean permuted pairwise WindowDiff on a theoretical dataset
containing complete agreement.
'''
self.assertAlmostEquals(summarize(window_diff(COMPLETE_AGREEMENT,
lamprier_et_al_2007_fix=False)),
(0.0,
0.0,
0.0,
0.0,
48))
self.assertAlmostEquals(summarize(window_diff(COMPLETE_AGREEMENT,
lamprier_et_al_2007_fix=True)),
(0.0,
0.0,
0.0,
0.0,
48))
def test_kazantseva2012_g5(self):
'''
Calculate permuted pairwise WindowDiff on Group 5 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(summarize(window_diff(KAZANTSEVA2012_G5,
lamprier_et_al_2007_fix=False)),
(Decimal('0.42514977232721135'),
Decimal('0.14960495739111837'),
Decimal('0.02238164327599834'),
Decimal('0.02159361560546617'),
48))
self.assertAlmostEquals(summarize(window_diff(KAZANTSEVA2012_G5,
lamprier_et_al_2007_fix=True)),
(Decimal('0.3981624488837195'),
Decimal('0.1499358110615409'),
Decimal('0.022480747438682093'),
Decimal('0.021641370219386377'),
48))
def test_kazantseva2012_g2(self):
'''
Calculate mean permuted pairwise WindowDiff on Group 2 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(summarize(window_diff(KAZANTSEVA2012_G2,
lamprier_et_al_2007_fix=False)),
(Decimal('0.3257163091933661553914718469'),
Decimal('0.1586420969856167116081811670'),
Decimal('0.02516731493599381893573908435'),
Decimal('0.01448197584815743151147537110'),
120))
self.assertAlmostEquals(summarize(window_diff(KAZANTSEVA2012_G2,
lamprier_et_al_2007_fix=True)),
(Decimal('0.2745037663246318112728760428'),
Decimal('0.1093940158628282748721971010'),
Decimal('0.01196705070659672423205913742'),
Decimal('0.009986261690691502298962284136'),
120))
def test_kazantseva2012_g5(self):
'''
Calculate permuted pairwise Pk on Group 5 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(
summarize(pk(KAZANTSEVA2012_G5)),
(Decimal('0.35530058282396693'), Decimal('0.11001760846099215'),
Decimal('0.012103874171476172'), Decimal('0.015879673965138168'),
48))
def test_kazantseva2012_g2(self):
'''
Calculate mean permuted pairwise WindowDiff on Group 2 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(
summarize(
window_diff(KAZANTSEVA2012_G2, lamprier_et_al_2007_fix=False)),
(Decimal('0.3257163091933661553914718469'),
Decimal('0.1586420969856167116081811670'),
Decimal('0.02516731493599381893573908435'),
Decimal('0.01448197584815743151147537110'), 120))
self.assertAlmostEquals(
summarize(
window_diff(KAZANTSEVA2012_G2, lamprier_et_al_2007_fix=True)),
(Decimal('0.2745037663246318112728760428'),
Decimal('0.1093940158628282748721971010'),
Decimal('0.01196705070659672423205913742'),
Decimal('0.009986261690691502298962284136'), 120))
def test_dataset_kwargs(self):
'''
Calculate mean permuted pairwise Pk on a theoretical dataset
containing complete agreement.
'''
self.assertAlmostEquals(summarize(pk(dataset=COMPLETE_AGREEMENT)),
(0.0,
0.0,
0.0,
0.0,
48))
def test_multiple_boundary_types(self):
'''
Test multiple boundary types with auto boundary type identification.
'''
value = summarize(boundary_similarity(MULTIPLE_BOUNDARY_TYPES))
self.assertEqual((Decimal('0.50'),
Decimal('0.25'),
Decimal('0.0625'),
Decimal('0.1767766952966368811002110906'),
2),
value)
def test_kazantseva2012_g5(self):
'''
Calculate permuted pairwise Pk on Group 5 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(summarize(pk(KAZANTSEVA2012_G5)),
(Decimal('0.35530058282396693'),
Decimal('0.11001760846099215'),
Decimal('0.012103874171476172'),
Decimal('0.015879673965138168'),
48))
def test_kazantseva2012_g2(self):
'''
Calculate mean permuted pairwise Pk on Group 2 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(
summarize(pk(KAZANTSEVA2012_G2)),
(Decimal('0.2882256923776327507173609771'),
Decimal('0.1454395656787966169084191445'),
Decimal('0.02115266726483699483402909754'),
Decimal('0.01327675514600517730547602481'), 120))
def test_large_disagreement(self):
'''
Calculate mean permuted pairwise Pk on a theoretical dataset
containing large disagreement.
'''
self.assertAlmostEquals(summarize(pk(LARGE_DISAGREEMENT)),
(1.0,
0.0,
0.0,
0.0,
8))
def test_kazantseva2012_g2(self):
'''
Calculate mean permuted pairwise Pk on Group 2 from the dataset
collected in [KazantsevaSzpakowicz2012]_.
'''
self.assertAlmostEquals(summarize(pk(KAZANTSEVA2012_G2)),
(Decimal('0.2882256923776327507173609771'),
Decimal('0.1454395656787966169084191445'),
Decimal('0.02115266726483699483402909754'),
Decimal('0.01327675514600517730547602481'),
120))
def test_large_disagreement(self):
'''
Calculate mean permuted pairwise WindowDiff on a theoretical dataset
containing large disagreement.
'''
val = summarize(window_diff(LARGE_DISAGREEMENT,
lamprier_et_al_2007_fix=False))
self.assertAlmostEquals(val,
(Decimal('1'),
Decimal('0'),
Decimal('0'),
Decimal('0'),
8))