class TestWordnetSubset(unittest.TestCase):
def setUp(self):
self.taxonomy = WordnetTaxonomy('poodle.n.01')
def test_get_categories(self):
assert self.taxonomy.get_categories() == {'poodle.n.01',
'standard_poodle.n.01',
'large_poodle.n.01',
'miniature_poodle.n.01',
'toy_poodle.n.01'}
def test_is_instance(self):
assert not self.taxonomy.is_instance('apple')
assert self.taxonomy.is_instance('toy poodle')
assert not self.taxonomy.is_instance('dog.n.01')
assert not self.taxonomy.is_instance('dogfdsa')
def test_is_category(self):
assert not self.taxonomy.is_category('apple')
assert not self.taxonomy.is_category('dog')
assert self.taxonomy.is_category('standard_poodle.n.01')
assert not self.taxonomy.is_category('apple.n.01')
assert not self.taxonomy.is_category('doggo.n.01')
class TestWordnet(unittest.TestCase):
def setUp(self):
self.taxonomy = WordnetTaxonomy()
def test_is_instance(self):
assert self.taxonomy.is_instance('apple')
assert self.taxonomy.is_instance('dog')
assert not self.taxonomy.is_instance('dog.n.01')
assert not self.taxonomy.is_instance('dogfdsa')
def test_is_category(self):
assert not self.taxonomy.is_category('apple')
assert not self.taxonomy.is_category('dog')
assert self.taxonomy.is_category('dog.n.01')
assert not self.taxonomy.is_category('doggo.n.01')
def test_ancestor_categories1(self):
result = self.taxonomy.get_ancestor_categories('animal.n.01')
expected = ['animal.n.01', 'entity.n.01', 'living_thing.n.01',
'object.n.01', 'organism.n.01', 'physical_entity.n.01',
'whole.n.02']
assert sorted(result) == expected
def test_ancestor_categories2(self):
result = self.taxonomy.get_ancestor_categories('orange')
expected = ['abstraction.n.06', 'angiospermous_tree.n.01',
'attribute.n.02', 'chromatic_color.n.01',
'citrus.n.01', 'citrus.n.02', 'color.n.01',
'coloring_material.n.01', 'edible_fruit.n.01',
'entity.n.01', 'fruit.n.01', 'fruit_tree.n.01',
'living_thing.n.01', 'material.n.01', 'matter.n.03',
'natural_object.n.01', 'object.n.01', 'orange.n.01',
'orange.n.02', 'orange.n.03', 'orange.n.04',
'organism.n.01', 'physical_entity.n.01', 'pigment.n.01',
'plant.n.02', 'plant_organ.n.01', 'plant_part.n.01',
'property.n.02', 'reproductive_structure.n.01',
'substance.n.01', 'tree.n.01', 'vascular_plant.n.01',
'visual_property.n.01', 'whole.n.02', 'woody_plant.n.01']
assert sorted(result) == expected
def test_descendant_instances1(self):
result = self.taxonomy.get_descendant_instances('apple.n.01')
expected = ['Baldwin', "Bramley's Seedling", 'Cortland',
"Cox's Orange Pippin", 'Delicious', 'Empire',
'Golden Delicious', 'Granny Smith', "Grimes' golden",
'Jonathan', "Lane's Prince Albert", 'Macoun',
'McIntosh', 'Newtown Wonder', 'Northern Spy',
'Pearmain', 'Pippin', 'Prima', 'Red Delicious',
'Rome Beauty', 'Stayman', 'Stayman Winesap', 'Winesap',
'Yellow Delicious', 'cooking apple', 'crab apple',
'crabapple', 'dessert apple', 'eating apple']
expected = sorted([x.lower() for x in expected])
assert sorted(result) == expected
def test_descendant_instances2(self):
result = self.taxonomy.get_descendant_instances('poodle.n.01')
expected = ['large poodle', 'miniature poodle',
'standard poodle', 'toy poodle']
assert sorted(result) == expected
def test_lowest_common_ancestor1(self):
result = lowest_common_ancestor(self.taxonomy,
['orange', 'red', 'green', 'blue'],
'apple')
assert result == (168, 'chromatic_color.n.01')
def test_lowest_common_ancestor2(self):
result = lowest_common_ancestor(self.taxonomy,
['orange', 'red', 'green', 'blue'],
'gold')
assert result == (104363, 'entity.n.01')
def test_lowest_common_ancestor3(self):
result = lowest_common_ancestor(self.taxonomy,
['large poodle', 'miniature poodle',
'standard poodle', 'toy poodle'],
'beagle')
assert result == (4, 'poodle.n.01')
def test_solve_puzzle(self):
similarity = TaxonomySimilarity(self.taxonomy)
puzzle = OddOneOutPuzzle("beagle",
['large poodle', 'miniature poodle',
'standard poodle', 'toy poodle'],
"poodle")
result = solve_puzzle(puzzle, similarity)
assert result == (0.25, 'poodle.n.01', 'beagle')
def test_solve_puzzles(self):
similarity = TaxonomySimilarity(self.taxonomy)
result = solve_puzzles(common2_puzzles, similarity, logger=silent_logger)
assert result == (35, 13, 54)