Python最长公共子串算法实例

本文实例讲述了Python最长公共子串算法。分享给大家供大家参考。具体如下:

#!/usr/bin/env python

# find an LCS (Longest Common Subsequence).

# *public domain*

def find_lcs_len(s1, s2):

m = [ [ 0 for x in s2 ] for y in s1 ]

for p1 in range(len(s1)):

for p2 in range(len(s2)):

if s1[p1] == s2[p2]:

if p1 == 0 or p2 == 0:

m[p1][p2] = 1

else:

m[p1][p2] = m[p1-1][p2-1]+1

elif m[p1-1][p2] < m[p1][p2-1]:

m[p1][p2] = m[p1][p2-1]

else: # m[p1][p2-1] < m[p1-1][p2]

m[p1][p2] = m[p1-1][p2]

return m[-1][-1]

def find_lcs(s1, s2):

# length table: every element is set to zero.

m = [ [ 0 for x in s2 ] for y in s1 ]

# direction table: 1st bit for p1, 2nd bit for p2.

d = [ [ None for x in s2 ] for y in s1 ]

# we don't have to care about the boundery check.

# a negative index always gives an intact zero.

for p1 in range(len(s1)):

for p2 in range(len(s2)):

if s1[p1] == s2[p2]:

if p1 == 0 or p2 == 0:

m[p1][p2] = 1

else:

m[p1][p2] = m[p1-1][p2-1]+1

d[p1][p2] = 3 # 11: decr. p1 and p2

elif m[p1-1][p2] < m[p1][p2-1]:

m[p1][p2] = m[p1][p2-1]

d[p1][p2] = 2 # 10: decr. p2 only

else: # m[p1][p2-1] < m[p1-1][p2]

m[p1][p2] = m[p1-1][p2]

d[p1][p2] = 1 # 01: decr. p1 only

(p1, p2) = (len(s1)-1, len(s2)-1)

# now we traverse the table in reverse order.

s = []

while 1:

print p1,p2

c = d[p1][p2]

if c == 3: s.append(s1[p1])

if not ((p1 or p2) and m[p1][p2]): break

if c & 2: p2 -= 1

if c & 1: p1 -= 1

s.reverse()

return ''.join(s)

if __name__ == '__main__':

print find_lcs('abcoisjf','axbaoeijf')

print find_lcs_len('abcoisjf','axbaoeijf')

希望本文所述对大家的Python程序设计有所帮助。

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