Given a string s1, we may represent it as a binary tree by partitioning it to two non-empty substrings recursively.
Below is one possible representation of s1 =
"great": great
/ \
gr eat
/ \ / \
g r e at
/ \
a t
To scramble the string, we may choose any non-leaf node and swap its two children.
For example, if we choose the node
"gr" and swap its two children, it produces a scrambled string "rgeat". rgeat
/ \
rg eat
/ \ / \
r g e at
/ \
a t
We say that
"rgeat" is a scrambled string of "great".
Similarly, if we continue to swap the children of nodes
"eat" and "at", it produces a scrambled string "rgtae". rgtae
/ \
rg tae
/ \ / \
r g ta e
/ \
t a
We say that
"rgtae" is a scrambled string of "great".
Given two strings s1 and s2 of the same length, determine if s2 is a scrambled string of s1.
Solution:
We use a top-down dynamic approach where we need a 3D array to keep the information, hence the memory complexity is $O(n^3)$.class Solution:
# @return a boolean
def isScramble(self, s1, s2):
if len(s1)!=len(s2):
return False
isScramble=[]
for i in range(0,len(s1)):
isScramble.append([])
for j in range(0, len(s1)):
isScramble[i].append([])
for k in range(0, len(s1)):
isScramble[i][j].append(None)
return self.isScrambleRec(s1, s2, 0, 0, len(s1)-1, isScramble)
def isScrambleRec(self, s1, s2, i1, i2, length, isScramble):
if isScramble[i1][i2][length] != None:
return isScramble[i1][i2][length]
if length==0:
isScramble[i1][i2][length] = (s1[i1]==s2[i2])
else:
valid = False
for l in range(0, length):
valid = valid
or (self.isScrambleRec(s1,s2,i1,i2,l, isScramble) and self.isScrambleRec(s1,s2,i1+l+1,i2+l+1,length-l-1, isScramble))
or (self.isScrambleRec(s1,s2,i1,i2+length-l,l, isScramble) and self.isScrambleRec(s1,s2,i1+l+1,i2,length-l-1, isScramble))
isScramble[i1][i2][length] = valid
return isScramble[i1][i2][length]
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