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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.
39 lines
1.1 KiB
Python
39 lines
1.1 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.attrs import LEMMA, ORTH, PROB, IS_ALPHA
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from spacy.parts_of_speech import NOUN, VERB
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@pytest.mark.parametrize('text1,text2', [
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("Hello", "bye"), ("Hello", "hello"), ("Hello", "Hello,")])
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def test_vocab_api_neq(en_vocab, text1, text2):
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assert en_vocab[text1].orth != en_vocab[text2].orth
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@pytest.mark.parametrize('text', "Hello")
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def test_vocab_api_eq(en_vocab, text):
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lex = en_vocab[text]
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assert en_vocab[text].orth == lex.orth
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@pytest.mark.parametrize('text', ["example"])
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def test_vocab_api_shape_attr(en_vocab, text):
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lex = en_vocab[text]
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assert lex.orth != lex.shape
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@pytest.mark.parametrize('string,symbol', [
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('IS_ALPHA', IS_ALPHA), ('NOUN', NOUN), ('VERB', VERB), ('LEMMA', LEMMA),
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('ORTH', ORTH), ('PROB', PROB)])
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def test_vocab_api_symbols(en_vocab, string, symbol):
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assert en_vocab.strings[string] == symbol
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@pytest.mark.parametrize('text', "Hello")
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def test_vocab_api_contains(en_vocab, text):
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_ = en_vocab[text]
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assert text in en_vocab
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assert "LKsdjvlsakdvlaksdvlkasjdvljasdlkfvm" not in en_vocab
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