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Fix docstrings [ci skip]
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@ -387,7 +387,7 @@ class EntityLinker(Pipe):
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docs (Iterable[Doc]): The documents to modify.
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kb_ids (List[str]): The IDs to set, produced by EntityLinker.predict.
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DOCS: https://spacy.io/api/entitylinker#predict
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DOCS: https://spacy.io/api/entitylinker#set_annotations
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"""
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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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@ -160,7 +160,7 @@ class Morphologizer(Tagger):
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docs (Iterable[Doc]): The documents to modify.
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batch_tag_ids: The IDs to set, produced by Morphologizer.predict.
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DOCS: https://spacy.io/api/morphologizer#predict
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DOCS: https://spacy.io/api/morphologizer#set_annotations
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"""
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if isinstance(docs, Doc):
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docs = [docs]
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@ -76,7 +76,7 @@ class SentenceRecognizer(Tagger):
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docs (Iterable[Doc]): The documents to modify.
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batch_tag_ids: The IDs to set, produced by SentenceRecognizer.predict.
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DOCS: https://spacy.io/api/sentencerecognizer#predict
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DOCS: https://spacy.io/api/sentencerecognizer#set_annotations
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"""
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if isinstance(docs, Doc):
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docs = [docs]
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@ -145,7 +145,7 @@ class Tagger(Pipe):
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docs (Iterable[Doc]): The documents to modify.
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batch_tag_ids: The IDs to set, produced by Tagger.predict.
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DOCS: https://spacy.io/api/tagger#predict
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DOCS: https://spacy.io/api/tagger#set_annotations
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"""
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if isinstance(docs, Doc):
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docs = [docs]
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@ -163,7 +163,7 @@ class TextCategorizer(Pipe):
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docs (Iterable[Doc]): The documents to modify.
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scores: The scores to set, produced by TextCategorizer.predict.
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DOCS: https://spacy.io/api/textcategorizer#predict
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DOCS: https://spacy.io/api/textcategorizer#set_annotations
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"""
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for i, doc in enumerate(docs):
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for j, label in enumerate(self.labels):
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@ -109,7 +109,7 @@ class Tok2Vec(Pipe):
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docs (Iterable[Doc]): The documents to modify.
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tokvecses: The tensors to set, produced by Tok2Vec.predict.
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DOCS: https://spacy.io/api/tok2vec#predict
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DOCS: https://spacy.io/api/tok2vec#set_annotations
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"""
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for doc, tokvecs in zip(docs, tokvecses):
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assert tokvecs.shape[0] == len(doc)
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