def test__scan_doc_with_no_matches(searcher: FuzzySearcher, nlp: Language,
scan_example: Doc) -> None:
"""It returns None if no matches >= min_r1."""
query = nlp.make_doc("xenomorph")
assert (searcher._scan_doc(
scan_example, query, fuzzy_func="simple", min_r1=30, ignore_case=True)
is None)
def test__scan_doc_returns_all_matches_with_no_min_r1(
searcher: FuzzySearcher, nlp: Language, scan_example: Doc
) -> None:
"""It returns all spans of len(query) in doc if min_r1 = 0."""
query = nlp.make_doc("Shirley")
assert searcher._scan_doc(
scan_example, query, fuzzy_func="simple", min_r1=0, ignore_case=True
) == {0: 0, 1: 0, 2: 18, 3: 22, 4: 86}
def test__scan_doc_returns_matches_over_min_r1(
searcher: FuzzySearcher, nlp: Language, scan_example: Doc
) -> None:
"""It returns all spans of len(query) in doc if ratio >= min_r1."""
query = nlp.make_doc("Shirley")
assert searcher._scan_doc(
scan_example, query, fuzzy_func="simple", min_r1=30, ignore_case=True
) == {4: 86}
