mirror of
https://github.com/explosion/spaCy.git
synced 2025-07-09 15:52:31 +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** đ * removed all model-specific tests that could only really be run manually anyway â 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.
35 lines
2.9 KiB
Python
35 lines
2.9 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
|
|
|
|
TESTCASES = [
|
|
# punctuation tests
|
|
('āĻāĻŽāĻŋ āĻŦāĻžāĻāĻ˛āĻžāĻ¯āĻŧ āĻāĻžāĻ¨ āĻāĻžāĻ!', ['āĻāĻŽāĻŋ', 'āĻŦāĻžāĻāĻ˛āĻžāĻ¯āĻŧ', 'āĻāĻžāĻ¨', 'āĻāĻžāĻ', '!']),
|
|
('āĻāĻŽāĻŋ āĻŦāĻžāĻāĻ˛āĻžāĻ¯āĻŧ āĻāĻĨāĻž āĻāĻāĨ¤', ['āĻāĻŽāĻŋ', 'āĻŦāĻžāĻāĻ˛āĻžāĻ¯āĻŧ', 'āĻāĻĨāĻž', 'āĻāĻ', 'āĨ¤']),
|
|
('āĻŦāĻ¸ā§āĻ¨ā§āĻ§āĻ°āĻž āĻāĻ¨āĻ¸āĻŽā§āĻŽā§āĻā§ āĻĻā§āĻˇ āĻ¸ā§āĻŦā§āĻāĻžāĻ° āĻāĻ°āĻ˛ā§ āĻ¨āĻž?', ['āĻŦāĻ¸ā§āĻ¨ā§āĻ§āĻ°āĻž', 'āĻāĻ¨āĻ¸āĻŽā§āĻŽā§āĻā§', 'āĻĻā§āĻˇ', 'āĻ¸ā§āĻŦā§āĻāĻžāĻ°', 'āĻāĻ°āĻ˛ā§', 'āĻ¨āĻž', '?']),
|
|
('āĻāĻžāĻāĻž āĻĨāĻžāĻāĻ˛ā§ āĻāĻŋ āĻ¨āĻž āĻšāĻ¯āĻŧ!', ['āĻāĻžāĻāĻž', 'āĻĨāĻžāĻāĻ˛ā§', 'āĻāĻŋ', 'āĻ¨āĻž', 'āĻšāĻ¯āĻŧ', '!']),
|
|
# abbreviations
|
|
('āĻĄāĻ āĻāĻžāĻ˛ā§āĻĻ āĻŦāĻ˛āĻ˛ā§āĻ¨ āĻĸāĻžāĻāĻžāĻ¯āĻŧ ā§Šā§Ģ āĻĄāĻŋāĻā§āĻ°āĻŋ āĻ¸ā§.āĨ¤', ['āĻĄāĻ', 'āĻāĻžāĻ˛ā§āĻĻ', 'āĻŦāĻ˛āĻ˛ā§āĻ¨', 'āĻĸāĻžāĻāĻžāĻ¯āĻŧ', 'ā§Šā§Ģ', 'āĻĄāĻŋāĻā§āĻ°āĻŋ', 'āĻ¸ā§.', 'āĨ¤'])
|
|
]
|
|
|
|
|
|
@pytest.mark.parametrize('text,expected_tokens', TESTCASES)
|
|
def test_bn_tokenizer_handles_testcases(bn_tokenizer, text, expected_tokens):
|
|
tokens = bn_tokenizer(text)
|
|
token_list = [token.text for token in tokens if not token.is_space]
|
|
assert expected_tokens == token_list
|
|
|
|
|
|
def test_bn_tokenizer_handles_long_text(bn_tokenizer):
|
|
text = """āĻ¨āĻ°ā§āĻĨ āĻ¸āĻžāĻāĻĨ āĻŦāĻŋāĻļā§āĻŦāĻŦāĻŋāĻĻā§āĻ¯āĻžāĻ˛āĻ¯āĻŧā§ āĻ¸āĻžāĻ°āĻžāĻŦāĻāĻ° āĻā§āĻ¨ āĻ¨āĻž āĻā§āĻ¨ āĻŦāĻŋāĻˇāĻ¯āĻŧā§ āĻāĻŦā§āĻˇāĻŖāĻž āĻāĻ˛āĻ¤ā§āĻ āĻĨāĻžāĻā§āĨ¤ \
|
|
āĻ
āĻāĻŋāĻā§āĻ āĻĢā§āĻ¯āĻžāĻāĻžāĻ˛ā§āĻāĻŋ āĻŽā§āĻŽā§āĻŦāĻžāĻ°āĻāĻŖ āĻĒā§āĻ°āĻžāĻ¯āĻŧāĻ āĻļāĻŋāĻā§āĻˇāĻžāĻ°ā§āĻĨā§āĻĻā§āĻ° āĻ¨āĻŋāĻ¯āĻŧā§ āĻŦāĻŋāĻāĻŋāĻ¨ā§āĻ¨ āĻāĻŦā§āĻˇāĻŖāĻž āĻĒā§āĻ°āĻāĻ˛ā§āĻĒā§ āĻāĻžāĻ āĻāĻ°ā§āĻ¨, \
|
|
āĻ¯āĻžāĻ° āĻŽāĻ§ā§āĻ¯ā§ āĻ°āĻ¯āĻŧā§āĻā§ āĻ°ā§āĻŦāĻ āĻĨā§āĻā§ āĻŽā§āĻļāĻŋāĻ¨ āĻ˛āĻžāĻ°ā§āĻ¨āĻŋāĻ āĻ¸āĻŋāĻ¸ā§āĻā§āĻŽ āĻ āĻāĻ°ā§āĻāĻŋāĻĢāĻŋāĻļāĻŋāĻ¯āĻŧāĻžāĻ˛ āĻāĻ¨ā§āĻā§āĻ˛āĻŋāĻā§āĻ¨ā§āĻ¸āĨ¤ \
|
|
āĻāĻ¸āĻāĻ˛ āĻĒā§āĻ°āĻāĻ˛ā§āĻĒā§ āĻāĻžāĻ āĻāĻ°āĻžāĻ° āĻŽāĻžāĻ§ā§āĻ¯āĻŽā§ āĻ¸āĻāĻļā§āĻ˛āĻŋāĻˇā§āĻ āĻā§āĻˇā§āĻ¤ā§āĻ°ā§ āĻ¯āĻĨā§āĻˇā§āĻ āĻĒāĻ°āĻŋāĻŽāĻžāĻŖ āĻ¸ā§āĻĒā§āĻļāĻžāĻ˛āĻžāĻāĻāĻĄ āĻšāĻāĻ¯āĻŧāĻž āĻ¸āĻŽā§āĻāĻŦāĨ¤ \
|
|
āĻāĻ° āĻāĻŦā§āĻˇāĻŖāĻžāĻ° āĻāĻžāĻ āĻ¤ā§āĻŽāĻžāĻ° āĻā§āĻ¯āĻžāĻ°āĻŋāĻ¯āĻŧāĻžāĻ°āĻā§ āĻ ā§āĻ˛ā§ āĻ¨āĻŋāĻ¯āĻŧā§ āĻ¯āĻžāĻŦā§ āĻ
āĻ¨ā§āĻāĻāĻžāĻ¨āĻŋ! \
|
|
āĻāĻ¨ā§āĻā§āĻ¸ā§āĻ āĻĒā§āĻ°ā§āĻā§āĻ°āĻžāĻŽāĻžāĻ° āĻšāĻ, āĻāĻŦā§āĻˇāĻ āĻāĻŋāĻāĻŦāĻž āĻĄā§āĻā§āĻ˛āĻĒāĻžāĻ° - āĻ¨āĻ°ā§āĻĨ āĻ¸āĻžāĻāĻĨ āĻāĻāĻ¨āĻŋāĻāĻžāĻ°ā§āĻ¸āĻŋāĻāĻŋāĻ¤ā§ āĻ¤ā§āĻŽāĻžāĻ° āĻĒā§āĻ°āĻ¤āĻŋāĻāĻž āĻŦāĻŋāĻāĻžāĻļā§āĻ° āĻ¸ā§āĻ¯ā§āĻ āĻ°āĻ¯āĻŧā§āĻā§āĻāĨ¤ \
|
|
āĻ¨āĻ°ā§āĻĨ āĻ¸āĻžāĻāĻĨā§āĻ° āĻ
āĻ¸āĻžāĻ§āĻžāĻ°āĻŖ āĻāĻŽāĻŋāĻāĻ¨āĻŋāĻāĻŋāĻ¤ā§ āĻ¤ā§āĻŽāĻžāĻā§ āĻ¸āĻžāĻĻāĻ° āĻāĻŽāĻ¨ā§āĻ¤ā§āĻ°āĻŖāĨ¤"""
|
|
tokens = bn_tokenizer(text)
|
|
assert len(tokens) == 84
|