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+
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)
if i and j and s1[i] == s2[j-1] and s1[i-1] == s2[j]:
d[i, j] = min(d[i, j], d[i-2, j-2] + nCost) # Transposition
return d[nLen1-1, nLen2-1]
def distanceJaroWinkler (sWord1, sWord2, fBoost = .666):
"distance of Jaro-Winkler between <sWord1> and <sWord2>, returns a float"
# https://github.com/thsig/jaro-winkler-JS
#if (sWord1 == sWord2): return 1.0
nLen1 = len(sWord1)
nLen2 = len(sWord2)
nMax = max(nLen1, nLen2)
aFlags1 = [ None for _ in range(nMax) ]
aFlags2 = [ None for _ in range(nMax) ]
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bTrans = abs(i2-i1) >= abs(t[1] - t[0])
if bTrans:
nTrans += 1
elif not t[2]:
t[2] = True
nTrans += 1
break
elif i1 > t[1] and i2 > t[0]:
if i1 > t[1] and i2 > t[0]:
del lOffset[i]
else:
i += 1
lOffset.append([i1, i2, bTrans])
else:
nLargestCS += nLocalCS
nLocalCS = 0
if i1 != i2:
i1 = i2 = min(i1, i2)
for i in range(nMaxOffset):
if i1 + i >= nLen1 and i2 + i >= nLen2:
break
elif i1 + i < nLen1 and s1[i1+i] == s2[i2]:
if i1 + i < nLen1 and s1[i1+i] == s2[i2]:
i1 += i - 1
i2 -= 1
break
elif i2 + i < nLen2 and s1[i1] == s2[i2+i]:
if i2 + i < nLen2 and s1[i1] == s2[i2+i]:
i2 += i - 1
i1 -= 1
break
i1 += 1
i2 += 1
if i1 >= nLen1 or i2 >= nLen2:
nLargestCS += nLocalCS
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