mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 01:48:04 +03:00
0e7f94b247
* Update Tokenizer.explain with special matches Update `Tokenizer.explain` and the pseudo-code in the docs to include the processing of special cases that contain affixes or whitespace. * Handle optional settings in explain * Add test for special matches in explain Add test for `Tokenizer.explain` for special cases containing affixes.
80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
import pytest
|
|
import re
|
|
from spacy.util import get_lang_class
|
|
from spacy.tokenizer import Tokenizer
|
|
|
|
# Only include languages with no external dependencies
|
|
# "is" seems to confuse importlib, so we're also excluding it for now
|
|
# excluded: ja, ru, th, uk, vi, zh, is
|
|
LANGUAGES = [
|
|
pytest.param("fr", marks=pytest.mark.slow()),
|
|
pytest.param("af", marks=pytest.mark.slow()),
|
|
pytest.param("ar", marks=pytest.mark.slow()),
|
|
pytest.param("bg", marks=pytest.mark.slow()),
|
|
"bn",
|
|
pytest.param("ca", marks=pytest.mark.slow()),
|
|
pytest.param("cs", marks=pytest.mark.slow()),
|
|
pytest.param("da", marks=pytest.mark.slow()),
|
|
pytest.param("de", marks=pytest.mark.slow()),
|
|
"el",
|
|
"en",
|
|
pytest.param("es", marks=pytest.mark.slow()),
|
|
pytest.param("et", marks=pytest.mark.slow()),
|
|
pytest.param("fa", marks=pytest.mark.slow()),
|
|
pytest.param("fi", marks=pytest.mark.slow()),
|
|
"fr",
|
|
pytest.param("ga", marks=pytest.mark.slow()),
|
|
pytest.param("he", marks=pytest.mark.slow()),
|
|
pytest.param("hi", marks=pytest.mark.slow()),
|
|
pytest.param("hr", marks=pytest.mark.slow()),
|
|
"hu",
|
|
pytest.param("id", marks=pytest.mark.slow()),
|
|
pytest.param("it", marks=pytest.mark.slow()),
|
|
pytest.param("kn", marks=pytest.mark.slow()),
|
|
pytest.param("lb", marks=pytest.mark.slow()),
|
|
pytest.param("lt", marks=pytest.mark.slow()),
|
|
pytest.param("lv", marks=pytest.mark.slow()),
|
|
pytest.param("nb", marks=pytest.mark.slow()),
|
|
pytest.param("nl", marks=pytest.mark.slow()),
|
|
"pl",
|
|
pytest.param("pt", marks=pytest.mark.slow()),
|
|
pytest.param("ro", marks=pytest.mark.slow()),
|
|
pytest.param("si", marks=pytest.mark.slow()),
|
|
pytest.param("sk", marks=pytest.mark.slow()),
|
|
pytest.param("sl", marks=pytest.mark.slow()),
|
|
pytest.param("sq", marks=pytest.mark.slow()),
|
|
pytest.param("sr", marks=pytest.mark.slow()),
|
|
pytest.param("sv", marks=pytest.mark.slow()),
|
|
pytest.param("ta", marks=pytest.mark.slow()),
|
|
pytest.param("te", marks=pytest.mark.slow()),
|
|
pytest.param("tl", marks=pytest.mark.slow()),
|
|
pytest.param("tr", marks=pytest.mark.slow()),
|
|
pytest.param("tt", marks=pytest.mark.slow()),
|
|
pytest.param("ur", marks=pytest.mark.slow()),
|
|
]
|
|
|
|
|
|
@pytest.mark.parametrize("lang", LANGUAGES)
|
|
def test_tokenizer_explain(lang):
|
|
tokenizer = get_lang_class(lang)().tokenizer
|
|
examples = pytest.importorskip(f"spacy.lang.{lang}.examples")
|
|
for sentence in examples.sentences:
|
|
tokens = [t.text for t in tokenizer(sentence) if not t.is_space]
|
|
debug_tokens = [t[1] for t in tokenizer.explain(sentence)]
|
|
assert tokens == debug_tokens
|
|
|
|
|
|
def test_tokenizer_explain_special_matcher(en_vocab):
|
|
suffix_re = re.compile(r"[\.]$")
|
|
infix_re = re.compile(r"[/]")
|
|
rules = {"a.": [{"ORTH": "a."}]}
|
|
tokenizer = Tokenizer(
|
|
en_vocab,
|
|
rules=rules,
|
|
suffix_search=suffix_re.search,
|
|
infix_finditer=infix_re.finditer,
|
|
)
|
|
tokens = [t.text for t in tokenizer("a/a.")]
|
|
explain_tokens = [t[1] for t in tokenizer.explain("a/a.")]
|
|
assert tokens == explain_tokens
|