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https://github.com/explosion/spaCy.git
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103 lines
3.8 KiB
Python
103 lines
3.8 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from spacy import displacy
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from spacy.displacy.render import DependencyRenderer
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from spacy.tokens import Span
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from spacy.lang.fa import Persian
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from .util import get_doc
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def test_displacy_parse_ents(en_vocab):
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"""Test that named entities on a Doc are converted into displaCy's format."""
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doc = get_doc(en_vocab, words=["But", "Google", "is", "starting", "from", "behind"])
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doc.ents = [Span(doc, 1, 2, label=doc.vocab.strings["ORG"])]
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ents = displacy.parse_ents(doc)
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assert isinstance(ents, dict)
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assert ents["text"] == "But Google is starting from behind "
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assert ents["ents"] == [{"start": 4, "end": 10, "label": "ORG"}]
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def test_displacy_parse_deps(en_vocab):
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"""Test that deps and tags on a Doc are converted into displaCy's format."""
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words = ["This", "is", "a", "sentence"]
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heads = [1, 0, 1, -2]
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pos = ["DET", "VERB", "DET", "NOUN"]
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tags = ["DT", "VBZ", "DT", "NN"]
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deps = ["nsubj", "ROOT", "det", "attr"]
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doc = get_doc(en_vocab, words=words, heads=heads, pos=pos, tags=tags, deps=deps)
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deps = displacy.parse_deps(doc)
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assert isinstance(deps, dict)
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assert deps["words"] == [
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{"lemma": None, "text": words[0], "tag": pos[0]},
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{"lemma": None, "text": words[1], "tag": pos[1]},
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{"lemma": None, "text": words[2], "tag": pos[2]},
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{"lemma": None, "text": words[3], "tag": pos[3]},
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]
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assert deps["arcs"] == [
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{"start": 0, "end": 1, "label": "nsubj", "dir": "left"},
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{"start": 2, "end": 3, "label": "det", "dir": "left"},
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{"start": 1, "end": 3, "label": "attr", "dir": "right"},
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]
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def test_displacy_invalid_arcs():
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renderer = DependencyRenderer()
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words = [{"text": "This", "tag": "DET"}, {"text": "is", "tag": "VERB"}]
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arcs = [
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{"start": 0, "end": 1, "label": "nsubj", "dir": "left"},
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{"start": -1, "end": 2, "label": "det", "dir": "left"},
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]
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with pytest.raises(ValueError):
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renderer.render([{"words": words, "arcs": arcs}])
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def test_displacy_spans(en_vocab):
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"""Test that displaCy can render Spans."""
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doc = get_doc(en_vocab, words=["But", "Google", "is", "starting", "from", "behind"])
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doc.ents = [Span(doc, 1, 2, label=doc.vocab.strings["ORG"])]
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html = displacy.render(doc[1:4], style="ent")
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assert html.startswith("<div")
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def test_displacy_raises_for_wrong_type(en_vocab):
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with pytest.raises(ValueError):
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displacy.render("hello world")
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def test_displacy_rtl():
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# Source: http://www.sobhe.ir/hazm/ – is this correct?
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words = ["ما", "بسیار", "کتاب", "می\u200cخوانیم"]
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# These are (likely) wrong, but it's just for testing
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pos = ["PRO", "ADV", "N_PL", "V_SUB"] # needs to match lang.fa.tag_map
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deps = ["foo", "bar", "foo", "baz"]
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heads = [1, 0, 1, -2]
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nlp = Persian()
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doc = get_doc(nlp.vocab, words=words, tags=pos, heads=heads, deps=deps)
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doc.ents = [Span(doc, 1, 3, label="TEST")]
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html = displacy.render(doc, page=True, style="dep")
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assert "direction: rtl" in html
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assert 'direction="rtl"' in html
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assert 'lang="{}"'.format(nlp.lang) in html
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html = displacy.render(doc, page=True, style="ent")
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assert "direction: rtl" in html
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assert 'lang="{}"'.format(nlp.lang) in html
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def test_displacy_render_wrapper(en_vocab):
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"""Test that displaCy accepts custom rendering wrapper."""
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def wrapper(html):
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return "TEST" + html + "TEST"
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displacy.set_render_wrapper(wrapper)
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doc = get_doc(en_vocab, words=["But", "Google", "is", "starting", "from", "behind"])
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doc.ents = [Span(doc, 1, 2, label=doc.vocab.strings["ORG"])]
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html = displacy.render(doc, style="ent")
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assert html.startswith("TEST<div")
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assert html.endswith("/div>TEST")
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# Restore
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displacy.set_render_wrapper(lambda html: html)
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