def score_by_autocomplete_distance(helper, result):
if not helper.autocomplete:
return
score = 0
query = ascii(helper.query)
for idx, label in enumerate(result.labels):
label = ascii(label)
result.labels[idx] = label # Cache ascii folding.
if equals(query, label):
score = 1.0
elif startswith(query, label):
score = 0.9
elif contains(query, label):
score = 0.7
if score:
result.add_score('str_distance', score, ceiling=1.0)
if not score:
_score_by_str_distance(helper, result, scale=0.9)
def score_by_autocomplete_distance(helper, result):
if not helper._autocomplete:
return
score = 0
query = ascii(helper.query)
for idx, label in enumerate(result.labels):
label = ascii(label)
result.labels[idx] = label # Cache ascii folding.
if equals(query, label):
score = 1.0
elif startswith(query, label):
score = 0.9
elif contains(query, label):
score = 0.7
if score:
result.add_score('str_distance', score, ceiling=1.0)
if score >= config.MATCH_THRESHOLD:
break
if not score:
_score_by_ngram_distance(helper, result)
def test_contains(candidate, target):
assert contains(candidate, target)
def test_contains(candidate, target):
assert contains(candidate, target)