def test_match_raises_error_when_doc_not_Doc(searcher: FuzzySearcher,
nlp: Language) -> None:
"""It raises a TypeError if doc is not a Doc object."""
doc = "G-rant Anderson lives in TN."
query = nlp("xenomorph")
with pytest.raises(TypeError):
searcher.match(doc, query)
def test_match_raises_error_if_query_not_Doc(searcher: FuzzySearcher,
nlp: Language) -> None:
"""It raises a TypeError if query not a doc."""
doc = nlp("This is a doc")
query = "Not a doc"
with pytest.raises(TypeError):
searcher.match(doc, query)
def test_match_finds_best_matches(searcher: FuzzySearcher,
nlp: Language) -> None:
"""It returns all the fuzzy matches that meet threshold correctly sorted."""
doc = nlp("chiken from Popeyes is better than chken from Chick-fil-A")
query = nlp("chicken")
assert searcher.match(doc, query, ignore_case=False) == [
(0, 1, 92),
(6, 7, 83),
]
def test_match_with_n_less_than_actual_matches(searcher: FuzzySearcher,
nlp: Language) -> None:
"""It returns the n best fuzzy matches that meet threshold correctly sorted."""
doc = nlp("cow, cow, cow, cow")
query = nlp("cow")
assert searcher.match(doc, query, n=2) == [(0, 1, 100), (2, 3, 100)]
def test_match_return_empty_list_when_no_matches_after_adjust(
searcher: FuzzySearcher, nlp: Language) -> None:
"""It returns an empty list if no fuzzy matches meet min_r2 threshold."""
doc = nlp("G-rant Anderson lives in TN.")
query = nlp("Garth, Anderdella")
assert searcher.match(doc, query) == []
def test_match_without_ignore_case(searcher: FuzzySearcher) -> None:
"""Checks ignore_case is working."""
assert searcher.match("SPACZZ", "spaczz", ignore_case=False) == 0
def test_match_works_with_defaults(searcher: FuzzySearcher) -> None:
"""Checks match is working as intended."""
assert searcher.match("spaczz", "spacy") == 73
