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。