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## 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.
78 lines
2.7 KiB
Python
78 lines
2.7 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.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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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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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),
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(['\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 _:
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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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