Hard
Count Substrings That Satisfy K-Constraint II — Python
Full explanation · Time O(n) · Space O(n)
# Time: O(n)
# Space: O(n)
# two pointers, sliding window, prefix sum, hash table
class Solution(object):
def countKConstraintSubstrings(self, s, k, queries):
"""
:type s: str
:type k: int
:type queries: List[List[int]]
:rtype: List[int]
"""
def count(l):
return (l+1)*l//2
result = cnt = left = 0
prefix = [0]*(len(s)+1)
lookup = [-1]*len(s)
for right in xrange(len(s)):
cnt += int(s[right] == '1')
while not (cnt <= k or (right-left+1)-cnt <= k):
cnt -= int(s[left] == '1')
left += 1
result += right-left+1
prefix[right+1] = prefix[right]+(right-left+1)
lookup[left] = right
assert(lookup[0] != -1)
for i in xrange(len(s)-1):
if lookup[i+1] == -1:
lookup[i+1] = lookup[i]
return [count(min(lookup[left], right)-left+1)+(prefix[right+1]-prefix[min(lookup[left], right)+1]) for left, right in queries]