mirror of https://github.com/explosion/spaCy.git
183 lines
5.4 KiB
Python
183 lines
5.4 KiB
Python
import pytest
|
|
from spacy.vocab import Vocab
|
|
from spacy.tokenizer import Tokenizer
|
|
from spacy.util import ensure_path
|
|
from spacy.lang.en import English
|
|
|
|
|
|
def test_tokenizer_handles_no_word(tokenizer):
|
|
tokens = tokenizer("")
|
|
assert len(tokens) == 0
|
|
|
|
|
|
@pytest.mark.parametrize("text", ["lorem"])
|
|
def test_tokenizer_handles_single_word(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert tokens[0].text == text
|
|
|
|
|
|
def test_tokenizer_handles_punct(tokenizer):
|
|
text = "Lorem, ipsum."
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 4
|
|
assert tokens[0].text == "Lorem"
|
|
assert tokens[1].text == ","
|
|
assert tokens[2].text == "ipsum"
|
|
assert tokens[1].text != "Lorem"
|
|
|
|
|
|
def test_tokenizer_handles_punct_braces(tokenizer):
|
|
text = "Lorem, (ipsum)."
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 6
|
|
|
|
|
|
def test_tokenizer_handles_digits(tokenizer):
|
|
exceptions = ["hu", "bn"]
|
|
text = "Lorem ipsum: 1984."
|
|
tokens = tokenizer(text)
|
|
|
|
if tokens[0].lang_ not in exceptions:
|
|
assert len(tokens) == 5
|
|
assert tokens[0].text == "Lorem"
|
|
assert tokens[3].text == "1984"
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"text",
|
|
["google.com", "python.org", "spacy.io", "explosion.ai", "http://www.google.com"],
|
|
)
|
|
def test_tokenizer_keep_urls(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 1
|
|
|
|
|
|
@pytest.mark.parametrize("text", ["NASDAQ:GOOG"])
|
|
def test_tokenizer_colons(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 3
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"text", ["hello123@example.com", "hi+there@gmail.it", "matt@explosion.ai"]
|
|
)
|
|
def test_tokenizer_keeps_email(tokenizer, text):
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) == 1
|
|
|
|
|
|
def test_tokenizer_handles_long_text(tokenizer):
|
|
text = """Lorem ipsum dolor sit amet, consectetur adipiscing elit
|
|
|
|
Cras egestas orci non porttitor maximus.
|
|
Maecenas quis odio id dolor rhoncus dignissim. Curabitur sed velit at orci ultrices sagittis. Nulla commodo euismod arcu eget vulputate.
|
|
|
|
Phasellus tincidunt, augue quis porta finibus, massa sapien consectetur augue, non lacinia enim nibh eget ipsum. Vestibulum in bibendum mauris.
|
|
|
|
"Nullam porta fringilla enim, a dictum orci consequat in." Mauris nec malesuada justo."""
|
|
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) > 5
|
|
|
|
|
|
@pytest.mark.parametrize("file_name", ["sun.txt"])
|
|
def test_tokenizer_handle_text_from_file(tokenizer, file_name):
|
|
loc = ensure_path(__file__).parent / file_name
|
|
text = loc.open("r", encoding="utf8").read()
|
|
assert len(text) != 0
|
|
tokens = tokenizer(text)
|
|
assert len(tokens) > 100
|
|
|
|
|
|
def test_tokenizer_suspected_freeing_strings(tokenizer):
|
|
text1 = "Lorem dolor sit amet, consectetur adipiscing elit."
|
|
text2 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
|
|
tokens1 = tokenizer(text1)
|
|
tokens2 = tokenizer(text2)
|
|
assert tokens1[0].text == "Lorem"
|
|
assert tokens2[0].text == "Lorem"
|
|
|
|
|
|
@pytest.mark.parametrize("text,tokens", [("lorem", [{"orth": "lo"}, {"orth": "rem"}])])
|
|
def test_tokenizer_add_special_case(tokenizer, text, tokens):
|
|
tokenizer.add_special_case(text, tokens)
|
|
doc = tokenizer(text)
|
|
assert doc[0].text == tokens[0]["orth"]
|
|
assert doc[1].text == tokens[1]["orth"]
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"text,tokens",
|
|
[
|
|
("lorem", [{"orth": "lo"}, {"orth": "re"}]),
|
|
("lorem", [{"orth": "lo", "tag": "A"}, {"orth": "rem"}]),
|
|
],
|
|
)
|
|
def test_tokenizer_validate_special_case(tokenizer, text, tokens):
|
|
with pytest.raises(ValueError):
|
|
tokenizer.add_special_case(text, tokens)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"text,tokens", [("lorem", [{"orth": "lo", "norm": "LO"}, {"orth": "rem"}])]
|
|
)
|
|
def test_tokenizer_add_special_case_tag(text, tokens):
|
|
vocab = Vocab()
|
|
tokenizer = Tokenizer(vocab, {}, None, None, None)
|
|
tokenizer.add_special_case(text, tokens)
|
|
doc = tokenizer(text)
|
|
assert doc[0].text == tokens[0]["orth"]
|
|
assert doc[0].norm_ == tokens[0]["norm"]
|
|
assert doc[1].text == tokens[1]["orth"]
|
|
|
|
|
|
def test_tokenizer_special_cases_with_affixes(tokenizer):
|
|
text = '(((_SPECIAL_ A/B, A/B-A/B")'
|
|
tokenizer.add_special_case("_SPECIAL_", [{"orth": "_SPECIAL_"}])
|
|
tokenizer.add_special_case("A/B", [{"orth": "A/B"}])
|
|
doc = tokenizer(text)
|
|
assert [token.text for token in doc] == [
|
|
"(",
|
|
"(",
|
|
"(",
|
|
"_SPECIAL_",
|
|
"A/B",
|
|
",",
|
|
"A/B",
|
|
"-",
|
|
"A/B",
|
|
'"',
|
|
")",
|
|
]
|
|
|
|
|
|
def test_tokenizer_special_cases_with_affixes_preserve_spacy():
|
|
tokenizer = English().tokenizer
|
|
# reset all special cases
|
|
tokenizer.rules = {}
|
|
|
|
# in-place modification (only merges)
|
|
text = "''a'' "
|
|
tokenizer.add_special_case("''", [{"ORTH": "''"}])
|
|
assert tokenizer(text).text == text
|
|
|
|
# not in-place (splits and merges)
|
|
tokenizer.add_special_case("ab", [{"ORTH": "a"}, {"ORTH": "b"}])
|
|
text = "ab ab ab ''ab ab'' ab'' ''ab"
|
|
assert tokenizer(text).text == text
|
|
|
|
|
|
def test_tokenizer_special_cases_with_period(tokenizer):
|
|
text = "_SPECIAL_."
|
|
tokenizer.add_special_case("_SPECIAL_", [{"orth": "_SPECIAL_"}])
|
|
doc = tokenizer(text)
|
|
assert [token.text for token in doc] == ["_SPECIAL_", "."]
|
|
|
|
|
|
def test_tokenizer_special_cases_idx(tokenizer):
|
|
text = "the _ID'X_"
|
|
tokenizer.add_special_case("_ID'X_", [{"orth": "_ID"}, {"orth": "'X_"}])
|
|
doc = tokenizer(text)
|
|
assert doc[1].idx == 4
|
|
assert doc[2].idx == 7
|