ai-content-maker/.venv/Lib/site-packages/spacy/tests/doc/test_creation.py

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2024-05-03 04:18:51 +03:00
import pytest
from spacy import util
from spacy.tokens import Doc
from spacy.vocab import Vocab
@pytest.fixture
def vocab():
return Vocab()
def test_empty_doc(vocab):
doc = Doc(vocab)
assert len(doc) == 0
def test_single_word(vocab):
doc = Doc(vocab, words=["a"])
assert doc.text == "a "
doc = Doc(vocab, words=["a"], spaces=[False])
assert doc.text == "a"
def test_create_from_words_and_text(vocab):
# no whitespace in words
words = ["'", "dogs", "'", "run"]
text = " 'dogs'\n\nrun "
(words, spaces) = util.get_words_and_spaces(words, text)
doc = Doc(vocab, words=words, spaces=spaces)
assert [t.text for t in doc] == [" ", "'", "dogs", "'", "\n\n", "run", " "]
assert [t.whitespace_ for t in doc] == ["", "", "", "", "", " ", ""]
assert doc.text == text
assert [t.text for t in doc if not t.text.isspace()] == [
word for word in words if not word.isspace()
]
# partial whitespace in words
words = [" ", "'", "dogs", "'", "\n\n", "run", " "]
text = " 'dogs'\n\nrun "
(words, spaces) = util.get_words_and_spaces(words, text)
doc = Doc(vocab, words=words, spaces=spaces)
assert [t.text for t in doc] == [" ", "'", "dogs", "'", "\n\n", "run", " "]
assert [t.whitespace_ for t in doc] == ["", "", "", "", "", " ", ""]
assert doc.text == text
assert [t.text for t in doc if not t.text.isspace()] == [
word for word in words if not word.isspace()
]
# non-standard whitespace tokens
words = [" ", " ", "'", "dogs", "'", "\n\n", "run"]
text = " 'dogs'\n\nrun "
(words, spaces) = util.get_words_and_spaces(words, text)
doc = Doc(vocab, words=words, spaces=spaces)
assert [t.text for t in doc] == [" ", "'", "dogs", "'", "\n\n", "run", " "]
assert [t.whitespace_ for t in doc] == ["", "", "", "", "", " ", ""]
assert doc.text == text
assert [t.text for t in doc if not t.text.isspace()] == [
word for word in words if not word.isspace()
]
# mismatch between words and text
with pytest.raises(ValueError):
words = [" ", " ", "'", "dogs", "'", "\n\n", "run"]
text = " 'dogs'\n\nrun "
(words, spaces) = util.get_words_and_spaces(words + ["away"], text)
def test_create_with_heads_and_no_deps(vocab):
words = "I like ginger".split()
heads = list(range(len(words)))
with pytest.raises(ValueError):
Doc(vocab, words=words, heads=heads)
def test_create_invalid_pos(vocab):
words = "I like ginger".split()
pos = "QQ ZZ XX".split()
with pytest.raises(ValueError):
Doc(vocab, words=words, pos=pos)