mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 04:08:09 +03:00
75f3234404
## 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.
29 lines
910 B
Python
29 lines
910 B
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
|
|
|
|
def test_fr_lemmatizer_verb(fr_tokenizer):
|
|
tokens = fr_tokenizer("Qu'est-ce que tu fais?")
|
|
assert tokens[0].lemma_ == "que"
|
|
assert tokens[1].lemma_ == "être"
|
|
assert tokens[5].lemma_ == "faire"
|
|
|
|
|
|
def test_fr_lemmatizer_noun_verb_2(fr_tokenizer):
|
|
tokens = fr_tokenizer("Les abaissements de température sont gênants.")
|
|
assert tokens[4].lemma_ == "être"
|
|
|
|
|
|
@pytest.mark.xfail(reason="Costaricienne TAG is PROPN instead of NOUN and spacy don't lemmatize PROPN")
|
|
def test_fr_lemmatizer_noun(fr_tokenizer):
|
|
tokens = fr_tokenizer("il y a des Costaricienne.")
|
|
assert tokens[4].lemma_ == "Costaricain"
|
|
|
|
|
|
def test_fr_lemmatizer_noun_2(fr_tokenizer):
|
|
tokens = fr_tokenizer("Les abaissements de température sont gênants.")
|
|
assert tokens[1].lemma_ == "abaissement"
|
|
assert tokens[5].lemma_ == "gênant"
|