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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.
18 lines
483 B
Python
18 lines
483 B
Python
# coding: utf8
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from __future__ import unicode_literals
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from spacy.language import Language
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def test_issue2564():
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"""Test the tagger sets is_tagged correctly when used via Language.pipe."""
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nlp = Language()
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tagger = nlp.create_pipe('tagger')
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tagger.begin_training() # initialise weights
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nlp.add_pipe(tagger)
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doc = nlp('hello world')
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assert doc.is_tagged
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docs = nlp.pipe(['hello', 'world'])
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piped_doc = next(docs)
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assert piped_doc.is_tagged
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