mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-24 21:41:08 +00:00
113 lines
3.3 KiB
Python
113 lines
3.3 KiB
Python
|
"""
|
||
|
Implementation of regular expression matching with support for '.' and '*'.
|
||
|
'.' Matches any single character.
|
||
|
'*' Matches zero or more of the preceding element.
|
||
|
The matching should cover the entire input string (not partial).
|
||
|
|
||
|
"""
|
||
|
|
||
|
|
||
|
def match_pattern(input_string: str, pattern: str) -> bool:
|
||
|
"""
|
||
|
uses bottom-up dynamic programming solution for matching the input
|
||
|
string with a given pattern.
|
||
|
|
||
|
Runtime: O(len(input_string)*len(pattern))
|
||
|
|
||
|
Arguments
|
||
|
--------
|
||
|
input_string: str, any string which should be compared with the pattern
|
||
|
pattern: str, the string that represents a pattern and may contain
|
||
|
'.' for single character matches and '*' for zero or more of preceding character
|
||
|
matches
|
||
|
|
||
|
Note
|
||
|
----
|
||
|
the pattern cannot start with a '*',
|
||
|
because there should be at least one character before *
|
||
|
|
||
|
Returns
|
||
|
-------
|
||
|
A Boolean denoting whether the given string follows the pattern
|
||
|
|
||
|
Examples
|
||
|
-------
|
||
|
>>> match_pattern("aab", "c*a*b")
|
||
|
True
|
||
|
>>> match_pattern("dabc", "*abc")
|
||
|
False
|
||
|
>>> match_pattern("aaa", "aa")
|
||
|
False
|
||
|
>>> match_pattern("aaa", "a.a")
|
||
|
True
|
||
|
>>> match_pattern("aaab", "aa*")
|
||
|
False
|
||
|
>>> match_pattern("aaab", ".*")
|
||
|
True
|
||
|
>>> match_pattern("a", "bbbb")
|
||
|
False
|
||
|
>>> match_pattern("", "bbbb")
|
||
|
False
|
||
|
>>> match_pattern("a", "")
|
||
|
False
|
||
|
>>> match_pattern("", "")
|
||
|
True
|
||
|
"""
|
||
|
|
||
|
len_string = len(input_string) + 1
|
||
|
len_pattern = len(pattern) + 1
|
||
|
|
||
|
# dp is a 2d matrix where dp[i][j] denotes whether prefix string of
|
||
|
# length i of input_string matches with prefix string of length j of
|
||
|
# given pattern.
|
||
|
# "dp" stands for dynamic programming.
|
||
|
dp = [[0 for i in range(len_pattern)] for j in range(len_string)]
|
||
|
|
||
|
# since string of zero length match pattern of zero length
|
||
|
dp[0][0] = 1
|
||
|
|
||
|
# since pattern of zero length will never match with string of non-zero length
|
||
|
for i in range(1, len_string):
|
||
|
dp[i][0] = 0
|
||
|
|
||
|
# since string of zero length will match with pattern where there
|
||
|
# is at least one * alternatively
|
||
|
for j in range(1, len_pattern):
|
||
|
dp[0][j] = dp[0][j - 2] if pattern[j - 1] == "*" else 0
|
||
|
|
||
|
# now using bottom-up approach to find for all remaining lengths
|
||
|
for i in range(1, len_string):
|
||
|
for j in range(1, len_pattern):
|
||
|
if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
|
||
|
dp[i][j] = dp[i - 1][j - 1]
|
||
|
|
||
|
elif pattern[j - 1] == "*":
|
||
|
if dp[i][j - 2] == 1:
|
||
|
dp[i][j] = 1
|
||
|
elif pattern[j - 2] in (input_string[i - 1], "."):
|
||
|
dp[i][j] = dp[i - 1][j]
|
||
|
else:
|
||
|
dp[i][j] = 0
|
||
|
else:
|
||
|
dp[i][j] = 0
|
||
|
|
||
|
return bool(dp[-1][-1])
|
||
|
|
||
|
|
||
|
if __name__ == "__main__":
|
||
|
import doctest
|
||
|
|
||
|
doctest.testmod()
|
||
|
# inputing the strings
|
||
|
# input_string = input("input a string :")
|
||
|
# pattern = input("input a pattern :")
|
||
|
|
||
|
input_string = "aab"
|
||
|
pattern = "c*a*b"
|
||
|
|
||
|
# using function to check whether given string matches the given pattern
|
||
|
if match_pattern(input_string, pattern):
|
||
|
print(f"{input_string} matches the given pattern {pattern}")
|
||
|
else:
|
||
|
print(f"{input_string} does not match with the given pattern {pattern}")
|