spaCy/spacy/tests/vocab_vectors/test_vocab_api.py

39 lines
1.1 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
import pytest
from spacy.attrs import LEMMA, ORTH, PROB, IS_ALPHA
from spacy.parts_of_speech import NOUN, VERB
@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), ('PROB', PROB)])
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]
assert text in en_vocab
assert "LKsdjvlsakdvlaksdvlkasjdvljasdlkfvm" not in en_vocab