Best Python code snippet using pandera_python
test_wordnet.py
Source: test_wordnet.py
...10 assert self.taxonomy.is_instance('apple')11 assert self.taxonomy.is_instance('dog')12 assert not self.taxonomy.is_instance('dog.n.01')13 assert not self.taxonomy.is_instance('dogfdsa')14 def test_is_category(self):15 assert not self.taxonomy.is_category('apple')16 assert not self.taxonomy.is_category('dog')17 assert self.taxonomy.is_category('dog.n.01')18 assert not self.taxonomy.is_category('doggo.n.01')19 def test_ancestor_categories1(self):20 result = self.taxonomy.get_ancestor_categories('animal.n.01')21 expected = ['animal.n.01', 'entity.n.01', 'living_thing.n.01',22 'object.n.01', 'organism.n.01', 'physical_entity.n.01',23 'whole.n.02']24 assert sorted(result) == expected25 def test_ancestor_categories2(self):26 result = self.taxonomy.get_ancestor_categories('orange')27 expected = ['abstraction.n.06', 'angiospermous_tree.n.01',28 'attribute.n.02', 'chromatic_color.n.01',29 'citrus.n.01', 'citrus.n.02', 'color.n.01',30 'coloring_material.n.01', 'edible_fruit.n.01',31 'entity.n.01', 'fruit.n.01', 'fruit_tree.n.01',32 'living_thing.n.01', 'material.n.01', 'matter.n.03',33 'natural_object.n.01', 'object.n.01', 'orange.n.01',34 'orange.n.02', 'orange.n.03', 'orange.n.04',35 'organism.n.01', 'physical_entity.n.01', 'pigment.n.01',36 'plant.n.02', 'plant_organ.n.01', 'plant_part.n.01',37 'property.n.02', 'reproductive_structure.n.01',38 'substance.n.01', 'tree.n.01', 'vascular_plant.n.01',39 'visual_property.n.01', 'whole.n.02', 'woody_plant.n.01']40 assert sorted(result) == expected41 def test_descendant_instances1(self):42 result = self.taxonomy.get_descendant_instances('apple.n.01')43 expected = ['Baldwin', "Bramley's Seedling", 'Cortland',44 "Cox's Orange Pippin", 'Delicious', 'Empire',45 'Golden Delicious', 'Granny Smith', "Grimes' golden",46 'Jonathan', "Lane's Prince Albert", 'Macoun',47 'McIntosh', 'Newtown Wonder', 'Northern Spy',48 'Pearmain', 'Pippin', 'Prima', 'Red Delicious',49 'Rome Beauty', 'Stayman', 'Stayman Winesap', 'Winesap',50 'Yellow Delicious', 'cooking apple', 'crab apple',51 'crabapple', 'dessert apple', 'eating apple']52 expected = sorted([x.lower() for x in expected])53 assert sorted(result) == expected54 def test_descendant_instances2(self):55 result = self.taxonomy.get_descendant_instances('poodle.n.01')56 expected = ['large poodle', 'miniature poodle',57 'standard poodle', 'toy poodle']58 assert sorted(result) == expected59 def test_lowest_common_ancestor1(self):60 result = lowest_common_ancestor(self.taxonomy,61 ['orange', 'red', 'green', 'blue'],62 'apple')63 assert result == (168, 'chromatic_color.n.01')64 def test_lowest_common_ancestor2(self):65 result = lowest_common_ancestor(self.taxonomy,66 ['orange', 'red', 'green', 'blue'],67 'gold')68 assert result == (104363, 'entity.n.01')69 def test_lowest_common_ancestor3(self):70 result = lowest_common_ancestor(self.taxonomy,71 ['large poodle', 'miniature poodle',72 'standard poodle', 'toy poodle'],73 'beagle')74 assert result == (4, 'poodle.n.01')75 def test_solve_puzzle(self):76 similarity = TaxonomySimilarity(self.taxonomy)77 puzzle = OddOneOutPuzzle("beagle",78 ['large poodle', 'miniature poodle',79 'standard poodle', 'toy poodle'],80 "poodle")81 result = solve_puzzle(puzzle, similarity)82 assert result == (0.25, 'poodle.n.01', 'beagle')83 def test_solve_puzzles(self):84 similarity = TaxonomySimilarity(self.taxonomy)85 result = solve_puzzles(common2_puzzles, similarity, logger=silent_logger)86 assert result == (35, 13, 54)87class TestWordnetSubset(unittest.TestCase):88 def setUp(self):89 self.taxonomy = WordnetTaxonomy('poodle.n.01')90 def test_get_categories(self):91 assert self.taxonomy.get_categories() == {'poodle.n.01',92 'standard_poodle.n.01',93 'large_poodle.n.01',94 'miniature_poodle.n.01',95 'toy_poodle.n.01'}96 def test_is_instance(self):97 assert not self.taxonomy.is_instance('apple')98 assert self.taxonomy.is_instance('toy poodle')99 assert not self.taxonomy.is_instance('dog.n.01')100 assert not self.taxonomy.is_instance('dogfdsa')101 def test_is_category(self):102 assert not self.taxonomy.is_category('apple')103 assert not self.taxonomy.is_category('dog')104 assert self.taxonomy.is_category('standard_poodle.n.01')105 assert not self.taxonomy.is_category('apple.n.01')106 assert not self.taxonomy.is_category('doggo.n.01')107class TestWordnetSubset2(unittest.TestCase):108 def setUp(self):109 self.taxonomy = WordnetTaxonomy('dog.n.01')110 def test_ancestor_categories(self):111 result = self.taxonomy.get_ancestor_categories('toy_poodle.n.01')112 expected = ['dog.n.01', 'poodle.n.01', 'toy_poodle.n.01']113 assert sorted(result) == expected114 def test_descendant_instances(self):115 result = self.taxonomy.get_descendant_instances('poodle.n.01')...
test_taxonomy.py
Source: test_taxonomy.py
...27 assert not self.example.is_instance('citrus')28 assert not self.example.is_instance('fruit')29 assert not self.example.is_instance('color')30 assert not self.example.is_instance('entity')31 def test_is_category(self):32 assert not self.example.is_category('apple')33 assert not self.example.is_category('lemon')34 assert not self.example.is_category('orange')35 assert not self.example.is_category('peach')36 assert not self.example.is_category('red')37 assert not self.example.is_category('yellow')38 assert self.example.is_category('citrus')39 assert self.example.is_category('fruit')40 assert self.example.is_category('color')41 assert self.example.is_category('entity')42 def test_get_descendant_instances(self):43 result = self.example.get_descendant_instances('citrus')44 assert result == {'lemon', 'orange'}45 result = self.example.get_descendant_instances('color')...
test_memory_message_repository.py
1from protean.adapters.event_store.memory import MemoryMessage2def test_is_category(test_domain):3 test_domain.event_store.store # Establish connection to event store4 repo = test_domain.repository_for(MemoryMessage)5 assert repo.is_category("testStream-123") is False6 assert repo.is_category("testStream") is True7 assert repo.is_category("test_stream-123") is False...
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