Levenshtein distance: Difference between revisions

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return costs[b.length()];
return costs[b.length()];
}</lang>
}</lang>

==={{header|Processing Python mode}}===

<lang python>def setup():
println(distance("kitten", "sitting"))

def distance(a, b):
costs = []
for j in range(len(b) + 1):
costs.append(j)
for i in range(1, len(a) + 1):
costs[0] = i
nw = i - 1
for j in range(1, len(b) + 1):
cj = min(1 + min(costs[j], costs[j - 1]),
nw if a[i - 1] == b[j - 1] else nw + 1)
nw = costs[j]
costs[j] = cj

return costs[len(b)]</lang>


=={{header|Prolog}}==
=={{header|Prolog}}==