def compare_fingerprints(left, right):
result = 0
left_list = ensure_list(left.get('fingerprints'))
right_list = ensure_list(right.get('fingerprints'))
for (left, right) in itertools.product(left_list, right_list):
similarity = jaro(left, right)
score = similarity * dampen(3, 20, min(left, right, key=len))
result = max(result, score)
return result
def compare_names(left, right):
result = 0
left_list = [normalize(n, latinize=True) for n in left.names]
right_list = [normalize(n, latinize=True) for n in right.names]
for (left, right) in itertools.product(left_list, right_list):
similarity = jaro(left, right)
score = similarity * dampen(2, 20, shortest(left, right))
result = max(result, score)
return result
def compare_names(left, right):
result = 0
left_list = list(_normalize_names(left.names))
right_list = list(_normalize_names(right.names))
for (left, right) in itertools.product(left_list, right_list):
similarity = jaro(left, right)
score = similarity * dampen(2, 20, shortest(left, right))
result = max(result, score)
return result
def specificity(self, value):
# TODO: insert artificial intelligence here.
return dampen(3, 50, value) * .8
def compare(self, left, right):
prefix = os.path.commonprefix([left, right])
return dampen(4, 10, prefix)
def specificity(self, value):
return dampen(5, self.MAX_LENGTH, value) * .5
def _specificity(self, value):
return dampen(4, 10, value)
def _specificity(self, value: str) -> float:
# TODO: insert artificial intelligence here.
return dampen(7, 11, value)
def _specificity(self, value: str) -> float:
return dampen(10, 60, value)
def _specificity(self, value):
# TODO: insert artificial intelligence here.
return dampen(6, 11, value)
def _specificity(self, value):
return dampen(5, 13, value)
def compare(self, left: str, right: str) -> float:
prefix = os.path.commonprefix([left, right])
return dampen(4, 10, prefix)
def _specificity(self, value: str) -> float:
return dampen(5, 13, value)
def specificity(self, value):
return dampen(10, 50, value) * .6
