Is there a built-in function in python which returns a length of longest common subsequence of two lists?
a=[1,2,6,5,4,8]
b=[2,1,6,5,4,4]
print a.llcs(b)
>>> 3
I tried to find longest common subsequence and then get length of it but I think there must be a better solution.
You can easily retool a Longest Common Subsequence (LCS) into a Length of the Longest Common Subsequence (LLCS):
def lcs_length(a, b):
table = [[0] * (len(b) + 1) for _ in range(len(a) + 1)]
for i, ca in enumerate(a, 1):
for j, cb in enumerate(b, 1):
table[i][j] = (
table[i - 1][j - 1] + 1 if ca == cb else
max(table[i][j - 1], table[i - 1][j]))
return table[-1][-1]
Demo:
>>> a=[1,2,6,5,4,8]
>>> b=[2,1,6,5,4,4]
>>> lcs_length(a, b)
4
If you wanted the longest common substring (a different, but related problem, where the subsequence is contiguous), use:
def lcsubstring_length(a, b):
table = [[0] * (len(b) + 1) for _ in range(len(a) + 1)]
longest = 0
for i, ca in enumerate(a, 1):
for j, cb in enumerate(b, 1):
if ca == cb:
length = table[i][j] = table[i - 1][j - 1] + 1
longest = max(longest, length)
return longest
This is very similar to the lcs_length
dynamic programming approach, but we track the maximum length found so far (since it is no longer guaranteed the last element in the table is the maximum).
This returns 3
:
>>> lcsubstring_length(a, b)
3
A sparse table variant to not have to track all the 0
s (use this if a
and b
are potentially very large):
def lcsubstring_length(a, b):
table = {}
longest = 0
for i, ca in enumerate(a, 1):
for j, cb in enumerate(b, 1):
if ca == cb:
length = table[i, j] = table.get((i - 1, j - 1), 0) + 1
longest = max(longest, length)
return longest