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minimum-insertion-steps-to-make-a-string-palindrome.py
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# 1312. Minimum Insertion Steps to Make a String Palindrome
# 🔴 Hard
#
# https://leetcode.com/problems/minimum-insertion-steps-to-make-a-string-palindrome/
#
# Tags: String - Dynamic Programming
import timeit
from bisect import bisect_left
# Compute the longest palindromic subsequence in the input string, the
# result is the length of the string minus the LPS because these are
# characters that we can use as they are.
#
# Time complexity: O(n^2) - O(n) to build the dictionary, then we
# iterate over the n characters of s, for each, we may end up iterating
# over all the indexes on s.
# Space complexity: O(n) - The dictionary and the dp array.
#
# Runtime 89 ms Beats 100%
# Memory 13.8 MB Beats 99.80%
class Solution:
# Copied from `./longest-common-subsequence.py`
def longestCommonSubsequence(self, text1: str, text2: str) -> int:
dp, a = [], ord("a")
d = [[] for _ in range(26)]
for i, c in enumerate(text2):
d[ord(c) - a].append(i)
for c in text1:
idx = ord(c) - a
if d[idx]:
for i in reversed(d[idx]):
ins = bisect_left(dp, i)
if ins == len(dp):
dp.append(i)
else:
dp[ins] = i
return len(dp)
def minInsertions(self, s: str) -> int:
return len(s) - self.longestCommonSubsequence(s, s[::-1])
def test():
executors = [Solution]
tests = [
["zzazz", 0],
["mbadm", 2],
["leetcode", 5],
]
for executor in executors:
start = timeit.default_timer()
for _ in range(1):
for col, t in enumerate(tests):
sol = executor()
result = sol.minInsertions(t[0])
exp = t[1]
assert result == exp, (
f"\033[93m» {result} <> {exp}\033[91m for"
+ f" test {col} using \033[1m{executor.__name__}"
)
stop = timeit.default_timer()
used = str(round(stop - start, 5))
cols = "{0:20}{1:10}{2:10}"
res = cols.format(executor.__name__, used, "seconds")
print(f"\033[92m» {res}\033[0m")
test()