mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 01:48:04 +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.
112 lines
3.6 KiB
Python
112 lines
3.6 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
from spacy.vocab import Vocab
|
|
from spacy.tokenizer import Tokenizer
|
|
from spacy.util import ensure_path
|
|
|
|
|
|
def test_tokenizer_handles_no_word(tokenizer):
|
|
tokens = tokenizer("")
|
|
assert len(tokens) == 0
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["lorem"])
|
|
def test_tokenizer_handles_single_word(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert tokens[0].text == text
|
|
|
|
|
|
def test_tokenizer_handles_punct(tokenizer):
|
|
text = "Lorem, ipsum."
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 4
|
|
assert tokens[0].text == "Lorem"
|
|
assert tokens[1].text == ","
|
|
assert tokens[2].text == "ipsum"
|
|
assert tokens[1].text != "Lorem"
|
|
|
|
|
|
def test_tokenizer_handles_digits(tokenizer):
|
|
exceptions = ["hu", "bn"]
|
|
text = "Lorem ipsum: 1984."
|
|
tokens = tokenizer(text)
|
|
|
|
if tokens[0].lang_ not in exceptions:
|
|
assert len(tokens) == 5
|
|
assert tokens[0].text == "Lorem"
|
|
assert tokens[3].text == "1984"
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["google.com", "python.org", "spacy.io", "explosion.ai", "http://www.google.com"])
|
|
def test_tokenizer_keep_urls(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 1
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["NASDAQ:GOOG"])
|
|
def test_tokenizer_colons(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 3
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["hello123@example.com", "hi+there@gmail.it", "matt@explosion.ai"])
|
|
def test_tokenizer_keeps_email(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 1
|
|
|
|
|
|
def test_tokenizer_handles_long_text(tokenizer):
|
|
text = """Lorem ipsum dolor sit amet, consectetur adipiscing elit
|
|
|
|
Cras egestas orci non porttitor maximus.
|
|
Maecenas quis odio id dolor rhoncus dignissim. Curabitur sed velit at orci ultrices sagittis. Nulla commodo euismod arcu eget vulputate.
|
|
|
|
Phasellus tincidunt, augue quis porta finibus, massa sapien consectetur augue, non lacinia enim nibh eget ipsum. Vestibulum in bibendum mauris.
|
|
|
|
"Nullam porta fringilla enim, a dictum orci consequat in." Mauris nec malesuada justo."""
|
|
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) > 5
|
|
|
|
|
|
@pytest.mark.parametrize('file_name', ["sun.txt"])
|
|
def test_tokenizer_handle_text_from_file(tokenizer, file_name):
|
|
loc = ensure_path(__file__).parent / file_name
|
|
text = loc.open('r', encoding='utf8').read()
|
|
assert len(text) != 0
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) > 100
|
|
|
|
|
|
def test_tokenizer_suspected_freeing_strings(tokenizer):
|
|
text1 = "Lorem dolor sit amet, consectetur adipiscing elit."
|
|
text2 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
|
|
tokens1 = tokenizer(text1)
|
|
tokens2 = tokenizer(text2)
|
|
assert tokens1[0].text == "Lorem"
|
|
assert tokens2[0].text == "Lorem"
|
|
|
|
|
|
@pytest.mark.parametrize('text,tokens', [
|
|
("lorem", [{'orth': 'lo'}, {'orth': 'rem'}])])
|
|
def test_tokenizer_add_special_case(tokenizer, text, tokens):
|
|
tokenizer.add_special_case(text, tokens)
|
|
doc = tokenizer(text)
|
|
assert doc[0].text == tokens[0]['orth']
|
|
assert doc[1].text == tokens[1]['orth']
|
|
|
|
|
|
@pytest.mark.parametrize('text,tokens', [
|
|
("lorem", [{'orth': 'lo', 'tag': 'NN'}, {'orth': 'rem'}])])
|
|
def test_tokenizer_add_special_case_tag(text, tokens):
|
|
vocab = Vocab(tag_map={'NN': {'pos': 'NOUN'}})
|
|
tokenizer = Tokenizer(vocab, {}, None, None, None)
|
|
tokenizer.add_special_case(text, tokens)
|
|
doc = tokenizer(text)
|
|
assert doc[0].text == tokens[0]['orth']
|
|
assert doc[0].tag_ == tokens[0]['tag']
|
|
assert doc[0].pos_ == 'NOUN'
|
|
assert doc[1].text == tokens[1]['orth']
|