ai-content-maker/.venv/Lib/site-packages/spacy/tests/lang/ro/test_tokenizer.py

22 lines
733 B
Python

import pytest
TEST_CASES = [
(
"Adresa este str. Principală nr. 5.",
["Adresa", "este", "str.", "Principală", "nr.", "5", "."],
),
("Teste, etc.", ["Teste", ",", "etc."]),
("Lista, ș.a.m.d.", ["Lista", ",", "ș.a.m.d."]),
("Și d.p.d.v. al...", ["Și", "d.p.d.v.", "al", "..."]),
# number tests
("Clasa a 4-a.", ["Clasa", "a", "4-a", "."]),
("Al 12-lea ceas.", ["Al", "12-lea", "ceas", "."]),
]
@pytest.mark.parametrize("text,expected_tokens", TEST_CASES)
def test_ro_tokenizer_handles_testcases(ro_tokenizer, text, expected_tokens):
tokens = ro_tokenizer(text)
token_list = [token.text for token in tokens if not token.is_space]
assert expected_tokens == token_list