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Replace "kb_ids" by a constant
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@ -26,6 +26,8 @@ from ..scorer import Scorer
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ActivationsT = Dict[str, Union[List[Ragged], List[str]]]
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KNOWLEDGE_BASE_IDS = "kb_ids"
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# See #9050
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BACKWARD_OVERWRITE = True
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@ -426,7 +428,7 @@ class EntityLinker(TrainablePipe):
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docs_ents: List[Ragged] = []
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docs_scores: List[Ragged] = []
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if not docs:
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return {"kb_ids": final_kb_ids, "ents": docs_ents, "scores": docs_scores}
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return {KNOWLEDGE_BASE_IDS: final_kb_ids, "ents": docs_ents, "scores": docs_scores}
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if isinstance(docs, Doc):
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docs = [docs]
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for doc in docs:
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@ -532,7 +534,7 @@ class EntityLinker(TrainablePipe):
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method="predict", msg="result variables not of equal length"
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)
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raise RuntimeError(err)
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return {"kb_ids": final_kb_ids, "ents": docs_ents, "scores": docs_scores}
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return {KNOWLEDGE_BASE_IDS: final_kb_ids, "ents": docs_ents, "scores": docs_scores}
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def set_annotations(self, docs: Iterable[Doc], activations: ActivationsT) -> None:
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"""Modify a batch of documents, using pre-computed scores.
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@ -543,7 +545,7 @@ class EntityLinker(TrainablePipe):
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DOCS: https://spacy.io/api/entitylinker#set_annotations
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"""
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kb_ids = cast(List[str], activations["kb_ids"])
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kb_ids = cast(List[str], activations[KNOWLEDGE_BASE_IDS])
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count_ents = len([ent for doc in docs for ent in doc.ents])
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if count_ents != len(kb_ids):
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raise ValueError(Errors.E148.format(ents=count_ents, ids=len(kb_ids)))
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@ -553,7 +555,7 @@ class EntityLinker(TrainablePipe):
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if self.save_activations:
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doc.activations[self.name] = {}
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for act_name, acts in activations.items():
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if act_name != "kb_ids":
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if act_name != KNOWLEDGE_BASE_IDS:
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# We only copy activations that are Ragged.
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doc.activations[self.name][act_name] = cast(Ragged, acts[j])
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