spaCy/spacy/tests/lang/bn/test_tokenizer.py
Ines Montani 75f3234404
đŸ’Ģ Refactor test suite (#2568)
## 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.
2018-07-24 23:38:44 +02:00

35 lines
2.9 KiB
Python

# coding: utf8
from __future__ import unicode_literals
import pytest
TESTCASES = [
# punctuation tests
('āĻ†āĻŽāĻŋ āĻŦāĻžāĻ‚āĻ˛āĻžāĻ¯āĻŧ āĻ—āĻžāĻ¨ āĻ—āĻžāĻ‡!', ['āĻ†āĻŽāĻŋ', 'āĻŦāĻžāĻ‚āĻ˛āĻžāĻ¯āĻŧ', 'āĻ—āĻžāĻ¨', 'āĻ—āĻžāĻ‡', '!']),
('āĻ†āĻŽāĻŋ āĻŦāĻžāĻ‚āĻ˛āĻžāĻ¯āĻŧ āĻ•āĻĨāĻž āĻ•āĻ‡āĨ¤', ['āĻ†āĻŽāĻŋ', 'āĻŦāĻžāĻ‚āĻ˛āĻžāĻ¯āĻŧ', 'āĻ•āĻĨāĻž', 'āĻ•āĻ‡', 'āĨ¤']),
('āĻŦāĻ¸ā§āĻ¨ā§āĻ§āĻ°āĻž āĻœāĻ¨āĻ¸āĻŽā§āĻŽā§āĻ–ā§‡ āĻĻā§‹āĻˇ āĻ¸ā§āĻŦā§€āĻ•āĻžāĻ° āĻ•āĻ°āĻ˛ā§‹ āĻ¨āĻž?', ['āĻŦāĻ¸ā§āĻ¨ā§āĻ§āĻ°āĻž', 'āĻœāĻ¨āĻ¸āĻŽā§āĻŽā§āĻ–ā§‡', 'āĻĻā§‹āĻˇ', 'āĻ¸ā§āĻŦā§€āĻ•āĻžāĻ°', 'āĻ•āĻ°āĻ˛ā§‹', 'āĻ¨āĻž', '?']),
('āĻŸāĻžāĻ•āĻž āĻĨāĻžāĻ•āĻ˛ā§‡ āĻ•āĻŋ āĻ¨āĻž āĻšāĻ¯āĻŧ!', ['āĻŸāĻžāĻ•āĻž', 'āĻĨāĻžāĻ•āĻ˛ā§‡', 'āĻ•āĻŋ', 'āĻ¨āĻž', 'āĻšāĻ¯āĻŧ', '!']),
# abbreviations
('āĻĄāĻƒ āĻ–āĻžāĻ˛ā§‡āĻĻ āĻŦāĻ˛āĻ˛ā§‡āĻ¨ āĻĸāĻžāĻ•āĻžāĻ¯āĻŧ ā§Šā§Ģ āĻĄāĻŋāĻ—ā§āĻ°āĻŋ āĻ¸ā§‡.āĨ¤', ['āĻĄāĻƒ', 'āĻ–āĻžāĻ˛ā§‡āĻĻ', 'āĻŦāĻ˛āĻ˛ā§‡āĻ¨', 'āĻĸāĻžāĻ•āĻžāĻ¯āĻŧ', 'ā§Šā§Ģ', 'āĻĄāĻŋāĻ—ā§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¸āĻžāĻ‰āĻĨ āĻŦāĻŋāĻļā§āĻŦāĻŦāĻŋāĻĻā§āĻ¯āĻžāĻ˛āĻ¯āĻŧā§‡ āĻ¸āĻžāĻ°āĻžāĻŦāĻ›āĻ° āĻ•ā§‹āĻ¨ āĻ¨āĻž āĻ•ā§‹āĻ¨ āĻŦāĻŋāĻˇāĻ¯āĻŧā§‡ āĻ—āĻŦā§‡āĻˇāĻŖāĻž āĻšāĻ˛āĻ¤ā§‡āĻ‡ āĻĨāĻžāĻ•ā§‡āĨ¤ \
āĻ…āĻ­āĻŋāĻœā§āĻž āĻĢā§āĻ¯āĻžāĻ•āĻžāĻ˛ā§āĻŸāĻŋ āĻŽā§‡āĻŽā§āĻŦāĻžāĻ°āĻ—āĻŖ āĻĒā§āĻ°āĻžāĻ¯āĻŧāĻ‡ āĻļāĻŋāĻ•ā§āĻˇāĻžāĻ°ā§āĻĨā§€āĻĻā§‡āĻ° āĻ¨āĻŋāĻ¯āĻŧā§‡ āĻŦāĻŋāĻ­āĻŋāĻ¨ā§āĻ¨ āĻ—āĻŦā§‡āĻˇāĻŖāĻž āĻĒā§āĻ°āĻ•āĻ˛ā§āĻĒā§‡ āĻ•āĻžāĻœ āĻ•āĻ°ā§‡āĻ¨, \
āĻ¯āĻžāĻ° āĻŽāĻ§ā§āĻ¯ā§‡ āĻ°āĻ¯āĻŧā§‡āĻ›ā§‡ āĻ°ā§‹āĻŦāĻŸ āĻĨā§‡āĻ•ā§‡ āĻŽā§‡āĻļāĻŋāĻ¨ āĻ˛āĻžāĻ°ā§āĻ¨āĻŋāĻ‚ āĻ¸āĻŋāĻ¸ā§āĻŸā§‡āĻŽ āĻ“ āĻ†āĻ°ā§āĻŸāĻŋāĻĢāĻŋāĻļāĻŋāĻ¯āĻŧāĻžāĻ˛ āĻ‡āĻ¨ā§āĻŸā§‡āĻ˛āĻŋāĻœā§‡āĻ¨ā§āĻ¸āĨ¤ \
āĻāĻ¸āĻ•āĻ˛ āĻĒā§āĻ°āĻ•āĻ˛ā§āĻĒā§‡ āĻ•āĻžāĻœ āĻ•āĻ°āĻžāĻ° āĻŽāĻžāĻ§ā§āĻ¯āĻŽā§‡ āĻ¸āĻ‚āĻļā§āĻ˛āĻŋāĻˇā§āĻŸ āĻ•ā§āĻˇā§‡āĻ¤ā§āĻ°ā§‡ āĻ¯āĻĨā§‡āĻˇā§āĻ  āĻĒāĻ°āĻŋāĻŽāĻžāĻŖ āĻ¸ā§āĻĒā§‡āĻļāĻžāĻ˛āĻžāĻ‡āĻœāĻĄ āĻšāĻ“āĻ¯āĻŧāĻž āĻ¸āĻŽā§āĻ­āĻŦāĨ¤ \
āĻ†āĻ° āĻ—āĻŦā§‡āĻˇāĻŖāĻžāĻ° āĻ•āĻžāĻœ āĻ¤ā§‹āĻŽāĻžāĻ° āĻ•ā§āĻ¯āĻžāĻ°āĻŋāĻ¯āĻŧāĻžāĻ°āĻ•ā§‡ āĻ ā§‡āĻ˛ā§‡ āĻ¨āĻŋāĻ¯āĻŧā§‡ āĻ¯āĻžāĻŦā§‡ āĻ…āĻ¨ā§‡āĻ•āĻ–āĻžāĻ¨āĻŋ! \
āĻ•āĻ¨ā§āĻŸā§‡āĻ¸ā§āĻŸ āĻĒā§āĻ°ā§‹āĻ—ā§āĻ°āĻžāĻŽāĻžāĻ° āĻšāĻ“, āĻ—āĻŦā§‡āĻˇāĻ• āĻ•āĻŋāĻ‚āĻŦāĻž āĻĄā§‡āĻ­ā§‡āĻ˛āĻĒāĻžāĻ° - āĻ¨āĻ°ā§āĻĨ āĻ¸āĻžāĻ‰āĻĨ āĻ‡āĻ‰āĻ¨āĻŋāĻ­āĻžāĻ°ā§āĻ¸āĻŋāĻŸāĻŋāĻ¤ā§‡ āĻ¤ā§‹āĻŽāĻžāĻ° āĻĒā§āĻ°āĻ¤āĻŋāĻ­āĻž āĻŦāĻŋāĻ•āĻžāĻļā§‡āĻ° āĻ¸ā§āĻ¯ā§‹āĻ— āĻ°āĻ¯āĻŧā§‡āĻ›ā§‡āĻ‡āĨ¤ \
āĻ¨āĻ°ā§āĻĨ āĻ¸āĻžāĻ‰āĻĨā§‡āĻ° āĻ…āĻ¸āĻžāĻ§āĻžāĻ°āĻŖ āĻ•āĻŽāĻŋāĻ‰āĻ¨āĻŋāĻŸāĻŋāĻ¤ā§‡ āĻ¤ā§‹āĻŽāĻžāĻ•ā§‡ āĻ¸āĻžāĻĻāĻ° āĻ†āĻŽāĻ¨ā§āĻ¤ā§āĻ°āĻŖāĨ¤"""
tokens = bn_tokenizer(text)
assert len(tokens) == 84