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longest-common-subsequence.py
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# Dynamic Programming implementation of LCS problem
def lcs(X, Y):
# find the length of the strings
m = len(X)
n = len(Y)
# declaring the array for storing the dp values
L = [[None] * (n + 1) for i in range(m + 1)]
"""Following steps build L[m+1][n+1] in bottom up fashion
Note: L[i][j] contains length of LCS of X[0..i-1]
and Y[0..j-1]"""
for i in range(m + 1):
for j in range(n + 1):
if 0 in (i, j):
L[i][j] = 0
elif X[i - 1] == Y[j - 1]:
L[i][j] = L[i - 1][j - 1] + 1
else:
L[i][j] = max(L[i - 1][j], L[i][j - 1])
# L[m][n] contains the length of LCS of X[0..n-1] & Y[0..m-1]
return L[m][n]
# end of function lcs
def print_lcs(X, Y):
# find the length of the strings
m = len(X)
n = len(Y)
# declaring the array for storing the dp values
L = [[None] * (n + 1) for i in range(m + 1)]
"""Following steps build L[m+1][n+1] in bottom up fashion
Note: L[i][j] contains length of LCS of X[0..i-1]
and Y[0..j-1]"""
for i in range(m + 1):
for j in range(n + 1):
if 0 in (i, j):
L[i][j] = 0
elif X[i - 1] == Y[j - 1]:
L[i][j] = L[i - 1][j - 1] + 1
else:
L[i][j] = max(L[i - 1][j], L[i][j - 1])
index = L[m][n]
lcs = [""] * (index + 1)
lcs[index] = ""
# Start from the right-most-bottom-most corner and
# one by one store characters in lcs[]
i = m
j = n
while i > 0 and j > 0:
# If current character in X[] and Y are same, then
# current character is part of LCS
if X[i - 1] == Y[j - 1]:
lcs[index - 1] = X[i - 1]
i -= 1
j -= 1
index -= 1
# If not same, then find the larger of two and
# go in the direction of larger value
elif L[i - 1][j] > L[i][j - 1]:
i -= 1
else:
j -= 1
print("LCS of " + X + " and " + Y + " is " + "".join(lcs))
# Driver program to test the above function
X = "AGGTAB"
Y = "GXTXAYB"
print("Length of LCS is ", lcs(X, Y))
print_lcs(X, Y)