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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.
147 lines
4.7 KiB
Python
147 lines
4.7 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 ..util import get_doc, apply_transition_sequence
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def test_parser_root(en_tokenizer):
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text = "i don't have other assistance"
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heads = [3, 2, 1, 0, 1, -2]
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deps = ['nsubj', 'aux', 'neg', 'ROOT', 'amod', 'dobj']
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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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for t in doc:
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assert t.dep != 0, t.text
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@pytest.mark.xfail
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@pytest.mark.parametrize('text', ["Hello"])
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def test_parser_parse_one_word_sentence(en_tokenizer, en_parser, text):
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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=[0], deps=['ROOT'])
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assert len(doc) == 1
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with en_parser.step_through(doc) as _:
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pass
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assert doc[0].dep != 0
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@pytest.mark.xfail
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def test_parser_initial(en_tokenizer, en_parser):
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text = "I ate the pizza with anchovies."
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heads = [1, 0, 1, -2, -3, -1, -5]
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transition = ['L-nsubj', 'S', 'L-det']
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tokens = en_tokenizer(text)
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apply_transition_sequence(en_parser, tokens, transition)
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assert tokens[0].head.i == 1
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assert tokens[1].head.i == 1
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assert tokens[2].head.i == 3
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assert tokens[3].head.i == 3
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def test_parser_parse_subtrees(en_tokenizer, en_parser):
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text = "The four wheels on the bus turned quickly"
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heads = [2, 1, 4, -1, 1, -2, 0, -1]
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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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assert len(list(doc[2].lefts)) == 2
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assert len(list(doc[2].rights)) == 1
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assert len(list(doc[2].children)) == 3
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assert len(list(doc[5].lefts)) == 1
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assert len(list(doc[5].rights)) == 0
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assert len(list(doc[5].children)) == 1
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assert len(list(doc[2].subtree)) == 6
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def test_parser_merge_pp(en_tokenizer):
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text = "A phrase with another phrase occurs"
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heads = [1, 4, -1, 1, -2, 0]
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deps = ['det', 'nsubj', 'prep', 'det', 'pobj', 'ROOT']
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tags = ['DT', 'NN', 'IN', 'DT', 'NN', 'VBZ']
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=[t.text for t in tokens], deps=deps, heads=heads, tags=tags)
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nps = [(np[0].idx, np[-1].idx + len(np[-1]), np.lemma_) for np in doc.noun_chunks]
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for start, end, lemma in nps:
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doc.merge(start, end, label='NP', lemma=lemma)
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assert doc[0].text == 'A phrase'
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assert doc[1].text == 'with'
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assert doc[2].text == 'another phrase'
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assert doc[3].text == 'occurs'
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@pytest.mark.xfail
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def test_parser_arc_eager_finalize_state(en_tokenizer, en_parser):
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text = "a b c d e"
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# right branching
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transition = ['R-nsubj', 'D', 'R-nsubj', 'R-nsubj', 'D', 'R-ROOT']
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tokens = en_tokenizer(text)
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apply_transition_sequence(en_parser, tokens, transition)
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assert tokens[0].n_lefts == 0
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assert tokens[0].n_rights == 2
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assert tokens[0].left_edge.i == 0
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assert tokens[0].right_edge.i == 4
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assert tokens[0].head.i == 0
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assert tokens[1].n_lefts == 0
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assert tokens[1].n_rights == 0
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assert tokens[1].left_edge.i == 1
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assert tokens[1].right_edge.i == 1
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assert tokens[1].head.i == 0
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assert tokens[2].n_lefts == 0
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assert tokens[2].n_rights == 2
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assert tokens[2].left_edge.i == 2
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assert tokens[2].right_edge.i == 4
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assert tokens[2].head.i == 0
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assert tokens[3].n_lefts == 0
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assert tokens[3].n_rights == 0
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assert tokens[3].left_edge.i == 3
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assert tokens[3].right_edge.i == 3
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assert tokens[3].head.i == 2
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assert tokens[4].n_lefts == 0
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assert tokens[4].n_rights == 0
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assert tokens[4].left_edge.i == 4
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assert tokens[4].right_edge.i == 4
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assert tokens[4].head.i == 2
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# left branching
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transition = ['S', 'S', 'S', 'L-nsubj','L-nsubj','L-nsubj', 'L-nsubj']
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tokens = en_tokenizer(text)
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apply_transition_sequence(en_parser, tokens, transition)
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assert tokens[0].n_lefts == 0
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assert tokens[0].n_rights == 0
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assert tokens[0].left_edge.i == 0
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assert tokens[0].right_edge.i == 0
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assert tokens[0].head.i == 4
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assert tokens[1].n_lefts == 0
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assert tokens[1].n_rights == 0
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assert tokens[1].left_edge.i == 1
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assert tokens[1].right_edge.i == 1
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assert tokens[1].head.i == 4
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assert tokens[2].n_lefts == 0
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assert tokens[2].n_rights == 0
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assert tokens[2].left_edge.i == 2
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assert tokens[2].right_edge.i == 2
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assert tokens[2].head.i == 4
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assert tokens[3].n_lefts == 0
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assert tokens[3].n_rights == 0
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assert tokens[3].left_edge.i == 3
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assert tokens[3].right_edge.i == 3
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assert tokens[3].head.i == 4
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assert tokens[4].n_lefts == 4
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assert tokens[4].n_rights == 0
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assert tokens[4].left_edge.i == 0
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assert tokens[4].right_edge.i == 4
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assert tokens[4].head.i == 4
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