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rely on is_empty property instead of __len__ (#12347)
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@ -444,8 +444,7 @@ class Errors(metaclass=ErrorsWithCodes):
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E133 = ("The sum of prior probabilities for alias '{alias}' should not "
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"exceed 1, but found {sum}.")
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E134 = ("Entity '{entity}' is not defined in the Knowledge Base.")
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E139 = ("Knowledge base for component '{name}' is empty. Use the methods "
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"`kb.add_entity` and `kb.add_alias` to add entries.")
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E139 = ("Knowledge base for component '{name}' is empty.")
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E140 = ("The list of entities, prior probabilities and entity vectors "
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"should be of equal length.")
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E141 = ("Entity vectors should be of length {required} instead of the "
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@ -46,6 +46,9 @@ cdef class InMemoryLookupKB(KnowledgeBase):
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self._alias_index = PreshMap(nr_aliases + 1)
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self._aliases_table = alias_vec(nr_aliases + 1)
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def is_empty(self):
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return len(self) == 0
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def __len__(self):
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return self.get_size_entities()
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@ -250,7 +250,7 @@ class EntityLinker(TrainablePipe):
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# Raise an error if the knowledge base is not initialized.
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if self.kb is None:
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raise ValueError(Errors.E1018.format(name=self.name))
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if len(self.kb) == 0:
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if hasattr(self.kb, "is_empty") and self.kb.is_empty():
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raise ValueError(Errors.E139.format(name=self.name))
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def initialize(
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@ -353,6 +353,9 @@ def test_kb_default(nlp):
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"""Test that the default (empty) KB is loaded upon construction"""
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entity_linker = nlp.add_pipe("entity_linker", config={})
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assert len(entity_linker.kb) == 0
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with pytest.raises(ValueError, match="E139"):
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# this raises an error because the KB is empty
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entity_linker.validate_kb()
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assert entity_linker.kb.get_size_entities() == 0
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assert entity_linker.kb.get_size_aliases() == 0
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# 64 is the default value from pipeline.entity_linker
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