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wildcard-matching.py
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wildcard-matching.py
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# Time: O(m + n)
# Space: O(1)
#
# Implement wildcard pattern matching with support for '?' and '*'.
#
# '?' Matches any single character.
# '*' Matches any sequence of characters (including the empty sequence).
#
# The matching should cover the entire input string (not partial).
#
# The function prototype should be:
# bool isMatch(const char *s, const char *p)
#
# Some examples:
# isMatch("aa","a") -> false
# isMatch("aa","aa") -> true
# isMatch("aaa","aa") -> false
# isMatch("aa", "*") -> true
# isMatch("aa", "a*") -> true
# isMatch("ab", "?*") -> true
# isMatch("aab", "c*a*b") -> false
#
# iteration
class Solution:
# @param s, an input string
# @param p, a pattern string
# @return a boolean
def isMatch(self, s, p):
p_ptr, s_ptr, last_s_ptr, last_p_ptr = 0, 0, -1, -1
while s_ptr < len(s):
if p_ptr < len(p) and (s[s_ptr] == p[p_ptr] or p[p_ptr] == '?'):
s_ptr += 1
p_ptr += 1
elif p_ptr < len(p) and p[p_ptr] == '*':
p_ptr += 1
last_s_ptr = s_ptr
last_p_ptr = p_ptr
elif last_p_ptr != -1:
last_s_ptr += 1
s_ptr = last_s_ptr
p_ptr = last_p_ptr
else:
return False
while p_ptr < len(p) and p[p_ptr] == '*':
p_ptr += 1
return p_ptr == len(p)
# dp with rolling window
# Time: O(m * n)
# Space: O(m + n)
class Solution2:
# @return a boolean
def isMatch(self, s, p):
k = 2
result = [[False for j in xrange(len(p) + 1)] for i in xrange(k)]
result[0][0] = True
for i in xrange(1, len(p) + 1):
if p[i-1] == '*':
result[0][i] = result[0][i-1]
for i in xrange(1,len(s) + 1):
result[i % k][0] = False
for j in xrange(1, len(p) + 1):
if p[j-1] != '*':
result[i % k][j] = result[(i-1) % k][j-1] and (s[i-1] == p[j-1] or p[j-1] == '?')
else:
result[i % k][j] = result[i % k][j-1] or result[(i-1) % k][j]
return result[len(s) % k][len(p)]
# dp
# Time: O(m * n)
# Space: O(m * n)
class Solution3:
# @return a boolean
def isMatch(self, s, p):
result = [[False for j in xrange(len(p) + 1)] for i in xrange(len(s) + 1)]
result[0][0] = True
for i in xrange(1, len(p) + 1):
if p[i-1] == '*':
result[0][i] = result[0][i-1]
for i in xrange(1,len(s) + 1):
result[i][0] = False
for j in xrange(1, len(p) + 1):
if p[j-1] != '*':
result[i][j] = result[i-1][j-1] and (s[i-1] == p[j-1] or p[j-1] == '?')
else:
result[i][j] = result[i][j-1] or result[i-1][j]
return result[len(s)][len(p)]
# recursive, slowest, TLE
class Solution4:
# @return a boolean
def isMatch(self, s, p):
if not p or not s:
return not s and not p
if p[0] != '*':
if p[0] == s[0] or p[0] == '?':
return self.isMatch(s[1:], p[1:])
else:
return False
else:
while len(s) > 0:
if self.isMatch(s, p[1:]):
return True
s = s[1:]
return self.isMatch(s, p[1:])
if __name__ == "__main__":
print Solution().isMatch("aaaabaaaab","a*b*b")
print Solution().isMatch("aaaaaaaaaaaaab", "a*a*a*a*a*a*a*a*a*a*c")
print Solution().isMatch("aa","a")
print Solution().isMatch("aa","aa")
print Solution().isMatch("aaa","aa")
print Solution().isMatch("aa", "a*")
print Solution().isMatch("aa", "?*")
print Solution().isMatch("ab", "?*")
print Solution().isMatch("aab", "c*a*b")