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41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import spacy
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from spacy.tokens import Span, Doc
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class CustomPipe:
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name = "my_pipe"
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def __init__(self):
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Span.set_extension("my_ext", getter=self._get_my_ext)
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Doc.set_extension("my_ext", default=None)
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def __call__(self, doc):
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gathered_ext = []
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for sent in doc.sents:
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sent_ext = self._get_my_ext(sent)
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sent._.set("my_ext", sent_ext)
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gathered_ext.append(sent_ext)
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doc._.set("my_ext", "\n".join(gathered_ext))
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return doc
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@staticmethod
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def _get_my_ext(span):
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return str(span.end)
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def test_issue4903():
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# ensures that this runs correctly and doesn't hang or crash on Windows / macOS
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nlp = spacy.load("en_core_web_sm")
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custom_component = CustomPipe()
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nlp.add_pipe(custom_component, after="parser")
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text = ["I like bananas.", "Do you like them?", "No, I prefer wasabi."]
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# works without 'n_process'
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for doc in nlp.pipe(text, n_process=2):
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print(doc)
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