spaCy/spacy/tests/vocab_vectors/test_vocab_api.py
Lj Miranda 7d50804644
Migrate regression tests into the main test suite (#9655)
* Migrate regressions 1-1000

* Move serialize test to correct file

* Remove tests that won't work in v3

* Migrate regressions 1000-1500

Removed regression test 1250 because v3 doesn't support the old LEX
scheme anymore.

* Add missing imports in serializer tests

* Migrate tests 1500-2000

* Migrate regressions from 2000-2500

* Migrate regressions from 2501-3000

* Migrate regressions from 3000-3501

* Migrate regressions from 3501-4000

* Migrate regressions from 4001-4500

* Migrate regressions from 4501-5000

* Migrate regressions from 5001-5501

* Migrate regressions from 5501 to 7000

* Migrate regressions from 7001 to 8000

* Migrate remaining regression tests

* Fixing missing imports

* Update docs with new system [ci skip]

* Update CONTRIBUTING.md

- Fix formatting
- Update wording

* Remove lemmatizer tests in el lang

* Move a few tests into the general tokenizer

* Separate Doc and DocBin tests
2021-12-04 20:34:48 +01:00

62 lines
1.6 KiB
Python

import pytest
from spacy.attrs import IS_ALPHA, LEMMA, ORTH
from spacy.parts_of_speech import NOUN, VERB
from spacy.vocab import Vocab
@pytest.mark.issue(1868)
def test_issue1868():
"""Test Vocab.__contains__ works with int keys."""
vocab = Vocab()
lex = vocab["hello"]
assert lex.orth in vocab
assert lex.orth_ in vocab
assert "some string" not in vocab
int_id = vocab.strings.add("some string")
assert int_id not in vocab
@pytest.mark.parametrize(
"text1,text2", [("Hello", "bye"), ("Hello", "hello"), ("Hello", "Hello,")]
)
def test_vocab_api_neq(en_vocab, text1, text2):
assert en_vocab[text1].orth != en_vocab[text2].orth
@pytest.mark.parametrize("text", "Hello")
def test_vocab_api_eq(en_vocab, text):
lex = en_vocab[text]
assert en_vocab[text].orth == lex.orth
@pytest.mark.parametrize("text", ["example"])
def test_vocab_api_shape_attr(en_vocab, text):
lex = en_vocab[text]
assert lex.orth != lex.shape
@pytest.mark.parametrize(
"string,symbol",
[
("IS_ALPHA", IS_ALPHA),
("NOUN", NOUN),
("VERB", VERB),
("LEMMA", LEMMA),
("ORTH", ORTH),
],
)
def test_vocab_api_symbols(en_vocab, string, symbol):
assert en_vocab.strings[string] == symbol
@pytest.mark.parametrize("text", "Hello")
def test_vocab_api_contains(en_vocab, text):
_ = en_vocab[text] # noqa: F841
assert text in en_vocab
assert "LKsdjvlsakdvlaksdvlkasjdvljasdlkfvm" not in en_vocab
def test_vocab_writing_system(en_vocab):
assert en_vocab.writing_system["direction"] == "ltr"
assert en_vocab.writing_system["has_case"] is True