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use English instead of model

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This commit is contained in:
svlandeg 2020-02-12 12:26:27 +01:00
parent 46628d8890
commit 7939c63886
1 changed files with 4 additions and 2 deletions
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6
spacy/tests/regression/test_issue4903.py
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@ -2,6 +2,7 @@
from __future__ import unicode_literals from __future__ import unicode_literals
import spacy import spacy
from spacy.lang.en import English
from spacy.tokens import Span, Doc from spacy.tokens import Span, Doc
@ -30,9 +31,10 @@ class CustomPipe:
def test_issue4903(): def test_issue4903():
# ensures that this runs correctly and doesn't hang or crash on Windows / macOS # ensures that this runs correctly and doesn't hang or crash on Windows / macOS
nlp = spacy.load("en_core_web_sm") nlp = English()
custom_component = CustomPipe() custom_component = CustomPipe()
nlp.add_pipe(custom_component, after="parser") nlp.add_pipe(nlp.create_pipe("sentencizer"))
nlp.add_pipe(custom_component, after="sentencizer")
text = ["I like bananas.", "Do you like them?", "No, I prefer wasabi."] text = ["I like bananas.", "Do you like them?", "No, I prefer wasabi."]
docs = list(nlp.pipe(text, n_process=2)) docs = list(nlp.pipe(text, n_process=2))