992. Subarrays with K Different Integers
Read the full problem statement on LeetCode.
Difficulty: hard Acceptance: 66% Topics: Array, Hash Table, Sliding Window, Counting
View full problem on LeetCode Reading material
Reference solution (spoiler · python)
# Time: O(n)
# Space: O(k)
import collections
class Solution(object):
def subarraysWithKDistinct(self, A, K):
"""
:type A: List[int]
:type K: int
:rtype: int
"""
def atMostK(A, K):
count = collections.defaultdict(int)
result, left = 0, 0
for right in xrange(len(A)):
count[A[right]] += 1
while len(count) > K:
count[A[left]] -= 1
if count[A[left]] == 0:
count.pop(A[left])
left += 1
result += right-left+1
return result
return atMostK(A, K) - atMostK(A, K-1)
# Time: O(n)
# Space: O(k)
class Window(object):
def __init__(self):
self.__count = collections.defaultdict(int)
def add(self, x):
self.__count[x] += 1
def remove(self, x):
self.__count[x] -= 1
if self.__count[x] == 0:
self.__count.pop(x)
def size(self):
return len(self.__count)
class Solution2(object):
def subarraysWithKDistinct(self, A, K):
"""
:type A: List[int]
:type K: int
:rtype: int
"""
window1, window2 = Window(), Window()
result, left1, left2 = 0, 0, 0
for i in A:
window1.add(i)
while window1.size() > K:
window1.remove(A[left1])
left1 += 1
window2.add(i)
while window2.size() >= K:
window2.remove(A[left2])
left2 += 1
result += left2-left1
return result
Solution from kamyu104/LeetCode-Solutions · MIT
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