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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
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import re
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from spacy.util import get_lang_class
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from spacy.tokenizer import Tokenizer
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# Only include languages with no external dependencies
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# "is" seems to confuse importlib, so we're also excluding it for now
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# excluded: ja, ru, th, uk, vi, zh, is
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LANGUAGES = [
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pytest.param("fr", marks=pytest.mark.slow()),
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pytest.param("af", marks=pytest.mark.slow()),
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pytest.param("ar", marks=pytest.mark.slow()),
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pytest.param("bg", marks=pytest.mark.slow()),
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"bn",
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pytest.param("ca", marks=pytest.mark.slow()),
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pytest.param("cs", marks=pytest.mark.slow()),
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pytest.param("da", marks=pytest.mark.slow()),
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pytest.param("de", marks=pytest.mark.slow()),
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"el",
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"en",
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pytest.param("es", marks=pytest.mark.slow()),
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pytest.param("et", marks=pytest.mark.slow()),
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pytest.param("fa", marks=pytest.mark.slow()),
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pytest.param("fi", marks=pytest.mark.slow()),
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"fr",
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pytest.param("ga", marks=pytest.mark.slow()),
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pytest.param("he", marks=pytest.mark.slow()),
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pytest.param("hi", marks=pytest.mark.slow()),
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pytest.param("hr", marks=pytest.mark.slow()),
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"hu",
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pytest.param("id", marks=pytest.mark.slow()),
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pytest.param("it", marks=pytest.mark.slow()),
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pytest.param("kn", marks=pytest.mark.slow()),
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pytest.param("lb", marks=pytest.mark.slow()),
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pytest.param("lt", marks=pytest.mark.slow()),
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pytest.param("lv", marks=pytest.mark.slow()),
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pytest.param("nb", marks=pytest.mark.slow()),
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pytest.param("nl", marks=pytest.mark.slow()),
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"pl",
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pytest.param("pt", marks=pytest.mark.slow()),
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pytest.param("ro", marks=pytest.mark.slow()),
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pytest.param("si", marks=pytest.mark.slow()),
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pytest.param("sk", marks=pytest.mark.slow()),
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pytest.param("sl", marks=pytest.mark.slow()),
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pytest.param("sq", marks=pytest.mark.slow()),
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pytest.param("sr", marks=pytest.mark.slow()),
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pytest.param("sv", marks=pytest.mark.slow()),
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pytest.param("ta", marks=pytest.mark.slow()),
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pytest.param("te", marks=pytest.mark.slow()),
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pytest.param("tl", marks=pytest.mark.slow()),
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pytest.param("tr", marks=pytest.mark.slow()),
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pytest.param("tt", marks=pytest.mark.slow()),
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pytest.param("ur", marks=pytest.mark.slow()),
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]
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@pytest.mark.parametrize("lang", LANGUAGES)
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def test_tokenizer_explain(lang):
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tokenizer = get_lang_class(lang)().tokenizer
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examples = pytest.importorskip(f"spacy.lang.{lang}.examples")
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for sentence in examples.sentences:
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tokens = [t.text for t in tokenizer(sentence) if not t.is_space]
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debug_tokens = [t[1] for t in tokenizer.explain(sentence)]
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assert tokens == debug_tokens
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def test_tokenizer_explain_special_matcher(en_vocab):
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suffix_re = re.compile(r"[\.]$")
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infix_re = re.compile(r"[/]")
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rules = {"a.": [{"ORTH": "a."}]}
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tokenizer = Tokenizer(
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en_vocab,
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rules=rules,
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suffix_search=suffix_re.search,
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infix_finditer=infix_re.finditer,
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)
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tokens = [t.text for t in tokenizer("a/a.")]
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explain_tokens = [t[1] for t in tokenizer.explain("a/a.")]
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assert tokens == explain_tokens
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