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Parametrize fuzzyn tests

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This commit is contained in:
Adriane Boyd 2022-11-11 13:13:58 +01:00
parent feb068a369
commit 070cbf2be0
1 changed files with 17 additions and 48 deletions
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65
spacy/tests/matcher/test_matcher_api.py
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@ -241,57 +241,26 @@ def test_matcher_match_fuzzy_set4(en_vocab):
]
def test_matcher_match_fuzzyn1(en_vocab):
rules = {
"JS": [[{"ORTH": "JavaScript"}]],
"GoogleNow": [[{"ORTH": {"FUZZY1": "Google"}}, {"ORTH": "Now"}]],
"Java": [[{"LOWER": "java"}]],
}
@pytest.mark.parametrize("fuzzyn", range(1, 6))
def test_matcher_match_fuzzyn(en_vocab, fuzzyn):
matcher = Matcher(en_vocab)
for key, patterns in rules.items():
matcher.add(key, patterns)
matcher.add("GoogleNow", [[{"ORTH": {f"FUZZY{fuzzyn}": "GoogleNow"}}]])
# words with increasing edit distance
words = ["GoogleNow" + "a" * i for i in range(0, 6)]
doc = Doc(en_vocab, words)
assert len(matcher(doc)) == fuzzyn + 1
words = ["They", "like", "Goggle", "Now", "and", "Jav", "but", "not", "JvvaScrpt"]
doc = Doc(matcher.vocab, words=words)
assert matcher(doc) == [
(doc.vocab.strings["GoogleNow"], 2, 4),
]
def test_matcher_match_fuzzyn2(en_vocab):
rules = {
"JS": [[{"ORTH": "JavaScript"}]],
"GoogleNow": [[{"ORTH": "Google"}, {"ORTH": "Now"}]],
"Java": [[{"LOWER": {"FUZZY1": "java"}}]],
}
matcher = Matcher(en_vocab)
for key, patterns in rules.items():
matcher.add(key, patterns)
words = ["They", "like", "Goggle", "Now", "and", "Jav", "but", "not", "JvvaScrpt"]
doc = Doc(matcher.vocab, words=words)
assert matcher(doc) == [
(doc.vocab.strings["Java"], 5, 6),
]
def test_matcher_match_fuzzyn3(en_vocab):
rules = {
"JS": [[{"ORTH": {"FUZZY2": "JavaScript"}}]],
"GoogleNow": [[{"ORTH": {"FUZZY1": "Google"}}, {"ORTH": "Now"}]],
"Java": [[{"LOWER": {"FUZZY1": "java"}}]],
}
matcher = Matcher(en_vocab)
for key, patterns in rules.items():
matcher.add(key, patterns)
words = ["They", "like", "Goggle", "Now", "and", "Jav", "but", "not", "JvvaScrpt"]
doc = Doc(matcher.vocab, words=words)
assert matcher(doc) == [
(doc.vocab.strings["GoogleNow"], 2, 4),
(doc.vocab.strings["Java"], 5, 6),
(doc.vocab.strings["JS"], 8, 9),
# words with increasing edit distance of different edit types
words = [
"GoogleNow",
"GoogleNuw",
"GoogleNuew",
"GoogleNoweee",
"GiggleNuw3",
"gouggle5New",
]
doc = Doc(en_vocab, words)
assert len(matcher(doc)) == fuzzyn + 1
def test_matcher_match_fuzzyn_set1(en_vocab):