def test_get_recall_fscore(self):
exact_matches = general_matching.find_best_matches(
self.cat_dmrs, self.small_dmrs)
inexact_matches = general_matching.find_best_matches(
self.small_dmrs, self.reverse_dmrs)
# Exact
self.assertEqual(
pydmrs.matching.match_evaluation.get_recall(
exact_matches[0], self.cat_dmrs), 1)
self.assertEqual(
pydmrs.matching.match_evaluation.get_fscore(
exact_matches[0], self.cat_dmrs), 1)
# Inexact
self.assertAlmostEqual(
pydmrs.matching.match_evaluation.get_recall(
inexact_matches[0], self.small_dmrs), 7 / 9)
self.assertAlmostEqual(
pydmrs.matching.match_evaluation.get_fscore(
inexact_matches[0], self.small_dmrs), 0.875)
# List of matches instead of Match.
with self.assertRaises(PydmrsTypeError):
pydmrs.matching.match_evaluation.get_recall(
exact_matches, self.cat_dmrs)
with self.assertRaises(PydmrsTypeError):
pydmrs.matching.match_evaluation.get_fscore(
exact_matches, self.cat_dmrs)
def test_find_best_matches(self):
# Match "the cat" onto "the dog chases the cat" (exact fit)
matches = general_matching.find_best_matches(self.cat_dmrs, self.small_dmrs)
self.assertEqual(len(matches), 1)
self.assertCountEqual(matches[0].nodeid_pairs, [(2, 5), (1, 4)])
self.assertCountEqual(matches[0].link_pairs,
[(Link(1, 2, 'RSTR', 'H'), Link(4, 5, 'RSTR', 'H'))])
# Match "the dog chases the cat" onto "the cat chases the dog" (inexact fit)
matches = general_matching.find_best_matches(self.small_dmrs, self.reverse_dmrs)
self.assertEqual(len(matches), 1)
self.assertCountEqual(matches[0].nodeid_pairs, [(5, 2), (4, 1), (3, 3), (2, 5), (1, 4)])
self.assertCountEqual(matches[0].link_pairs,
[(Link(4, 5, 'RSTR', 'H'), Link(1, 2, 'RSTR', 'H')),
(Link(1, 2, 'RSTR', 'H'), Link(4, 5, 'RSTR', 'H'))])
# No match found
matches = general_matching.find_best_matches(examples_dmrs.the_mouse(), self.reverse_dmrs)
self.assertIsNone(matches)
# More than one match found.
matches = general_matching.find_best_matches(self.cat_dmrs, self.large_dmrs)
self.assertEqual(len(matches), 2)
self.assertCountEqual(matches[0].nodeid_pairs, [(2, 5), (1, 4)])
self.assertCountEqual(matches[0].link_pairs,
[(Link(1, 2, 'RSTR', 'H'), Link(4, 5, 'RSTR', 'H'))])
self.assertCountEqual(matches[1].nodeid_pairs, [(2, 8), (1, 7)])
self.assertCountEqual(matches[1].link_pairs,
[(Link(1, 2, 'RSTR', 'H'), Link(7, 8, 'RSTR', 'H'))])
def test_get_recall_fscore(self):
exact_matches = general_matching.find_best_matches(self.cat_dmrs, self.small_dmrs)
inexact_matches = general_matching.find_best_matches(self.small_dmrs, self.reverse_dmrs)
# Exact
self.assertEqual(general_matching.get_recall(exact_matches[0], self.cat_dmrs), 1)
self.assertEqual(general_matching.get_fscore(exact_matches[0], self.cat_dmrs), 1)
# Inexact
self.assertAlmostEqual(general_matching.get_recall(inexact_matches[0], self.small_dmrs),
7 / 9)
self.assertAlmostEqual(general_matching.get_fscore(inexact_matches[0], self.small_dmrs),
0.875)
# List of matches instead of Match.
with self.assertRaises(PydmrsTypeError):
general_matching.get_recall(exact_matches, self.cat_dmrs)
with self.assertRaises(PydmrsTypeError):
general_matching.get_fscore(exact_matches, self.cat_dmrs)
def test_get_missing_elements(self):
match = general_matching.find_best_matches(
examples_dmrs.the_dog_chases_the_mouse(), self.small_dmrs)[0]
missing = pydmrs.matching.match_evaluation.get_missing_elements(
match, examples_dmrs.the_dog_chases_the_mouse())
self.assertCountEqual(
missing,
[4, 5, Link(3, 5, 'ARG2', 'NEQ'),
Link(4, 5, 'RSTR', 'H')])
def test_get_matched_subgraph(self):
match = general_matching.find_best_matches(self.cat_dmrs, self.small_dmrs)[0]
subgraph = general_matching.get_matched_subgraph(self.small_dmrs, match)
expected = DictDmrs(nodes=[Node(nodeid=4, pred=RealPred('the', 'q')),
Node(nodeid=5, pred=RealPred('cat', 'n', '1'),
sortinfo=InstanceSortinfo(pers='3', num='sg', ind='+'))],
links=[Link(start=4, end=5, rargname='RSTR', post='H')])
self.assertListEqual(subgraph.nodes, expected.nodes)
self.assertListEqual(subgraph.links, expected.links)
def test_find_best_matches(self):
# Match "the cat" onto "the dog chases the cat" (exact fit)
matches = general_matching.find_best_matches(self.cat_dmrs,
self.small_dmrs)
self.assertEqual(len(matches), 1)
self.assertCountEqual(matches[0].nodeid_pairs, [(2, 5), (1, 4)])
self.assertCountEqual(
matches[0].link_pairs,
[(Link(1, 2, 'RSTR', 'H'), Link(4, 5, 'RSTR', 'H'))])
# Match "the dog chases the cat" onto "the cat chases the dog" (inexact fit)
matches = general_matching.find_best_matches(self.small_dmrs,
self.reverse_dmrs)
self.assertEqual(len(matches), 1)
self.assertCountEqual(matches[0].nodeid_pairs, [(5, 2), (4, 1), (3, 3),
(2, 5), (1, 4)])
self.assertCountEqual(
matches[0].link_pairs,
[(Link(4, 5, 'RSTR', 'H'), Link(1, 2, 'RSTR', 'H')),
(Link(1, 2, 'RSTR', 'H'), Link(4, 5, 'RSTR', 'H'))])
# No match found
matches = general_matching.find_best_matches(examples_dmrs.the_mouse(),
self.reverse_dmrs)
self.assertIsNone(matches)
# More than one match found.
matches = general_matching.find_best_matches(self.cat_dmrs,
self.large_dmrs)
self.assertEqual(len(matches), 2)
self.assertCountEqual(matches[0].nodeid_pairs, [(2, 5), (1, 4)])
self.assertCountEqual(
matches[0].link_pairs,
[(Link(1, 2, 'RSTR', 'H'), Link(4, 5, 'RSTR', 'H'))])
self.assertCountEqual(matches[1].nodeid_pairs, [(2, 8), (1, 7)])
self.assertCountEqual(
matches[1].link_pairs,
[(Link(1, 2, 'RSTR', 'H'), Link(7, 8, 'RSTR', 'H'))])
def test_get_matched_subgraph(self):
match = general_matching.find_best_matches(self.cat_dmrs,
self.small_dmrs)[0]
subgraph = general_matching.get_matched_subgraph(
self.small_dmrs, match)
expected = DictDmrs(
nodes=[
Node(nodeid=4, pred=RealPred('the', 'q')),
Node(nodeid=5,
pred=RealPred('cat', 'n', '1'),
sortinfo=InstanceSortinfo(pers='3', num='sg', ind='+'))
],
links=[Link(start=4, end=5, rargname='RSTR', post='H')])
self.assertListEqual(subgraph.nodes, expected.nodes)
self.assertListEqual(subgraph.links, expected.links)
def test_get_missing_elements(self):
match = general_matching.find_best_matches(examples_dmrs.the_dog_chases_the_mouse(),
self.small_dmrs)[0]
missing = general_matching.get_missing_elements(match,
examples_dmrs.the_dog_chases_the_mouse())
self.assertCountEqual(missing, [4, 5, Link(3, 5, 'ARG2', 'NEQ'), Link(4, 5, 'RSTR', 'H')])
