spaCy/spacy/tests/parser/test_space_attachment.py

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import pytest
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from spacy.tokens import Doc
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from ..util import apply_transition_sequence
💫 Refactor test suite (#2568) ## Description Related issues: #2379 (should be fixed by separating model tests) * **total execution time down from > 300 seconds to under 60 seconds** 🎉 * removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure * changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version) * merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways) * tidied up and rewrote existing tests wherever possible ### Todo - [ ] move tests to `/tests` and adjust CI commands accordingly - [x] move model test suite from internal repo to `spacy-models` - [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~ - [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted - [ ] update documentation on how to run tests ### Types of change enhancement, tests ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
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def test_parser_space_attachment(en_vocab):
# fmt: off
words = ["This", "is", "a", "test", ".", "\n", "To", "ensure", " ", "spaces", "are", "attached", "well", "."]
heads = [1, 1, 3, 1, 1, 4, 7, 11, 7, 11, 11, 11, 11, 11]
# fmt: on
deps = ["dep"] * len(heads)
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doc = Doc(en_vocab, words=words, heads=heads, deps=deps)
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for sent in doc.sents:
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if len(sent) == 1:
assert not sent[-1].is_space
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def test_parser_sentence_space(en_vocab):
# fmt: off
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words = ["I", "look", "forward", "to", "using", "Thingamajig", ".", " ", "I", "'ve", "been", "told", "it", "will", "make", "my", "life", "easier", "..."]
heads = [1, 1, 1, 1, 3, 4, 1, 6, 11, 11, 11, 11, 14, 14, 11, 16, 17, 14, 11]
deps = ["nsubj", "ROOT", "advmod", "prep", "pcomp", "dobj", "punct", "",
"nsubjpass", "aux", "auxpass", "ROOT", "nsubj", "aux", "ccomp",
"poss", "nsubj", "ccomp", "punct"]
# fmt: on
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doc = Doc(en_vocab, words=words, heads=heads, deps=deps)
assert len(list(doc.sents)) == 2
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@pytest.mark.skip(
reason="The step_through API was removed (but should be brought back)"
)
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def test_parser_space_attachment_leading(en_vocab, en_parser):
words = ["\t", "\n", "This", "is", "a", "sentence", "."]
heads = [1, 2, 2, 4, 2, 2]
doc = Doc(en_vocab, words=words, heads=heads)
assert doc[0].is_space
assert doc[1].is_space
assert doc[2].text == "This"
with en_parser.step_through(doc) as stepwise:
pass
assert doc[0].head.i == 2
assert doc[1].head.i == 2
assert stepwise.stack == set([2])
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@pytest.mark.skip(
reason="The step_through API was removed (but should be brought back)"
)
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def test_parser_space_attachment_intermediate_trailing(en_vocab, en_parser):
words = ["This", "is", "\t", "a", "\t\n", "\n", "sentence", ".", "\n\n", "\n"]
heads = [1, 1, 1, 5, 3, 1, 1, 6]
transition = ["L-nsubj", "S", "L-det", "R-attr", "D", "R-punct"]
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doc = Doc(en_vocab, words=words, heads=heads)
assert doc[2].is_space
assert doc[4].is_space
assert doc[5].is_space
assert doc[8].is_space
assert doc[9].is_space
apply_transition_sequence(en_parser, doc, transition)
for token in doc:
assert token.dep != 0 or token.is_space
assert [token.head.i for token in doc] == [1, 1, 1, 6, 3, 3, 1, 1, 7, 7]
@pytest.mark.parametrize("text,length", [(["\n"], 1), (["\n", "\t", "\n\n", "\t"], 4)])
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@pytest.mark.skip(
reason="The step_through API was removed (but should be brought back)"
)
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def test_parser_space_attachment_space(en_parser, text, length):
doc = Doc(en_parser.vocab, words=text)
assert len(doc) == length
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with en_parser.step_through(doc) as _: # noqa: F841
pass
assert doc[0].is_space
for token in doc:
assert token.head.i == length - 1