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db55577c45
* Remove unicode declarations * Remove Python 3.5 and 2.7 from CI * Don't require pathlib * Replace compat helpers * Remove OrderedDict * Use f-strings * Set Cython compiler language level * Fix typo * Re-add OrderedDict for Table * Update setup.cfg * Revert CONTRIBUTING.md * Revert lookups.md * Revert top-level.md * Small adjustments and docs [ci skip]
76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
import pytest
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from spacy.tokens.doc import Doc
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from ..util import get_doc, apply_transition_sequence
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def test_parser_space_attachment(en_tokenizer):
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text = "This is a test.\nTo ensure spaces are attached well."
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heads = [1, 0, 1, -2, -3, -1, 1, 4, -1, 2, 1, 0, -1, -2]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads)
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for sent in doc.sents:
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if len(sent) == 1:
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assert not sent[-1].is_space
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def test_parser_sentence_space(en_tokenizer):
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# fmt: off
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text = "I look forward to using Thingamajig. I've been told it will make my life easier..."
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heads = [1, 0, -1, -2, -1, -1, -5, -1, 3, 2, 1, 0, 2, 1, -3, 1, 1, -3, -7]
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deps = ["nsubj", "ROOT", "advmod", "prep", "pcomp", "dobj", "punct", "",
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"nsubjpass", "aux", "auxpass", "ROOT", "nsubj", "aux", "ccomp",
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"poss", "nsubj", "ccomp", "punct"]
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# fmt: on
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps)
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assert len(list(doc.sents)) == 2
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@pytest.mark.xfail
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def test_parser_space_attachment_leading(en_tokenizer, en_parser):
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text = "\t \n This is a sentence ."
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heads = [1, 1, 0, 1, -2, -3]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=text.split(" "), heads=heads)
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assert doc[0].is_space
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assert doc[1].is_space
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assert doc[2].text == "This"
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with en_parser.step_through(doc) as stepwise:
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pass
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assert doc[0].head.i == 2
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assert doc[1].head.i == 2
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assert stepwise.stack == set([2])
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@pytest.mark.xfail
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def test_parser_space_attachment_intermediate_trailing(en_tokenizer, en_parser):
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text = "This is \t a \t\n \n sentence . \n\n \n"
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heads = [1, 0, -1, 2, -1, -4, -5, -1]
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transition = ["L-nsubj", "S", "L-det", "R-attr", "D", "R-punct"]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=text.split(" "), heads=heads)
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assert doc[2].is_space
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assert doc[4].is_space
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assert doc[5].is_space
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assert doc[8].is_space
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assert doc[9].is_space
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apply_transition_sequence(en_parser, doc, transition)
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for token in doc:
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assert token.dep != 0 or token.is_space
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assert [token.head.i for token in doc] == [1, 1, 1, 6, 3, 3, 1, 1, 7, 7]
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@pytest.mark.parametrize("text,length", [(["\n"], 1), (["\n", "\t", "\n\n", "\t"], 4)])
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@pytest.mark.xfail
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def test_parser_space_attachment_space(en_tokenizer, en_parser, text, length):
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doc = Doc(en_parser.vocab, words=text)
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assert len(doc) == length
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with en_parser.step_through(doc) as _: # noqa: F841
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pass
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assert doc[0].is_space
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for token in doc:
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assert token.head.i == length - 1
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