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specify unicode strings for python 2.7
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@ -15,13 +15,13 @@ def test_kb_valid_entities(nlp):
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mykb = KnowledgeBase(nlp.vocab)
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# adding entities
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mykb.add_entity(entity_id="Q1", prob=0.9)
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mykb.add_entity(entity_id="Q2", prob=0.2)
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mykb.add_entity(entity_id="Q3", prob=0.5)
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mykb.add_entity(entity_id=u'Q1', prob=0.9)
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mykb.add_entity(entity_id=u'Q2', prob=0.2)
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mykb.add_entity(entity_id=u'Q3', prob=0.5)
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# adding aliases
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mykb.add_alias(alias="douglas", entities=["Q2", "Q3"], probabilities=[0.8, 0.2])
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mykb.add_alias(alias="adam", entities=["Q2"], probabilities=[0.9])
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.8, 0.2])
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mykb.add_alias(alias=u'adam', entities=[u'Q2'], probabilities=[0.9])
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# test the size of the corresponding KB
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assert(mykb.get_size_entities() == 3)
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@ -33,13 +33,13 @@ def test_kb_invalid_entities(nlp):
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mykb = KnowledgeBase(nlp.vocab)
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# adding entities
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mykb.add_entity(entity_id="Q1", prob=0.9)
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mykb.add_entity(entity_id="Q2", prob=0.2)
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mykb.add_entity(entity_id="Q3", prob=0.5)
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mykb.add_entity(entity_id=u'Q1', prob=0.9)
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mykb.add_entity(entity_id=u'Q2', prob=0.2)
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mykb.add_entity(entity_id=u'Q3', prob=0.5)
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# adding aliases - should fail because one of the given IDs is not valid
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with pytest.raises(ValueError):
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mykb.add_alias(alias="douglas", entities=["Q2", "Q342"], probabilities=[0.8, 0.2])
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q342'], probabilities=[0.8, 0.2])
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def test_kb_invalid_probabilities(nlp):
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@ -47,13 +47,13 @@ def test_kb_invalid_probabilities(nlp):
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mykb = KnowledgeBase(nlp.vocab)
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# adding entities
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mykb.add_entity(entity_id="Q1", prob=0.9)
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mykb.add_entity(entity_id="Q2", prob=0.2)
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mykb.add_entity(entity_id="Q3", prob=0.5)
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mykb.add_entity(entity_id=u'Q1', prob=0.9)
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mykb.add_entity(entity_id=u'Q2', prob=0.2)
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mykb.add_entity(entity_id=u'Q3', prob=0.5)
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# adding aliases - should fail because the sum of the probabilities exceeds 1
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with pytest.raises(ValueError):
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mykb.add_alias(alias="douglassss", entities=["Q2", "Q3"], probabilities=[0.8, 0.4])
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.8, 0.4])
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def test_kb_invalid_combination(nlp):
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@ -61,13 +61,13 @@ def test_kb_invalid_combination(nlp):
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mykb = KnowledgeBase(nlp.vocab)
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# adding entities
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mykb.add_entity(entity_id="Q1", prob=0.9)
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mykb.add_entity(entity_id="Q2", prob=0.2)
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mykb.add_entity(entity_id="Q3", prob=0.5)
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mykb.add_entity(entity_id=u'Q1', prob=0.9)
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mykb.add_entity(entity_id=u'Q2', prob=0.2)
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mykb.add_entity(entity_id=u'Q3', prob=0.5)
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# adding aliases - should fail because the entities and probabilities vectors are not of equal length
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with pytest.raises(ValueError):
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mykb.add_alias(alias="douglassss", entities=["Q2", "Q3"], probabilities=[0.3, 0.4, 0.1])
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.3, 0.4, 0.1])
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def test_candidate_generation(nlp):
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@ -75,15 +75,15 @@ def test_candidate_generation(nlp):
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mykb = KnowledgeBase(nlp.vocab)
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# adding entities
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mykb.add_entity(entity_id="Q1", prob=0.9)
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mykb.add_entity(entity_id="Q2", prob=0.2)
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mykb.add_entity(entity_id="Q3", prob=0.5)
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mykb.add_entity(entity_id=u'Q1', prob=0.9)
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mykb.add_entity(entity_id=u'Q2', prob=0.2)
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mykb.add_entity(entity_id=u'Q3', prob=0.5)
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# adding aliases
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mykb.add_alias(alias="douglas", entities=["Q2", "Q3"], probabilities=[0.8, 0.2])
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mykb.add_alias(alias="adam", entities=["Q2"], probabilities=[0.9])
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.8, 0.2])
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mykb.add_alias(alias=u'adam', entities=[u'Q2'], probabilities=[0.9])
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# test the size of the relevant candidates
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assert(len(mykb.get_candidates("douglas")) == 2)
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assert(len(mykb.get_candidates("adam")) == 1)
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assert(len(mykb.get_candidates("shrubbery")) == 0)
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assert(len(mykb.get_candidates(u'douglas')) == 2)
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assert(len(mykb.get_candidates(u'adam')) == 1)
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assert(len(mykb.get_candidates(u'shrubbery')) == 0)
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