滑动窗口经典问题整理
ST表解法
模板
from typing import Callable, Generic, List, TypeVar
E = TypeVar("E")
class SlidingWindowAggregation(Generic[E]):
"""SlidingWindowAggregation
Api:
1. append value to tail,O(1).
2. pop value from head,O(1).
3. query aggregated value in window,O(1).
"""
__slots__ = ["_stack0", "_stack1", "_stack2", "_stack3", "_e0", "_e1", "_size", "_op", "_e"]
def __init__(self, e: Callable[[], E], op: Callable[[E, E], E]):
"""
Args:
e: unit element
op: merge function
"""
self._stack0 = []
self._stack1 = []
self._stack2 = []
self._stack3 = []
self._e = e
self._e0 = e()
self._e1 = e()
self._size = 0
self._op = op
def append(self, value: E) -> None:
if not self._stack0:
self._push0(value)
self._transfer()
else:
self._push1(value)
self._size += 1
def popleft(self) -> None:
if not self._size:
return
if not self._stack0:
self._transfer()
self._stack0.pop()
self._stack2.pop()
self._e0 = self._stack2[-1] if self._stack2 else self._e()
self._size -= 1
def query(self) -> E:
return self._op(self._e0, self._e1)
def _push0(self, value):
self._stack0.append(value)
self._e0 = self._op(value, self._e0)
self._stack2.append(self._e0)
def _push1(self, value):
self._stack1.append(value)
self._e1 = self._op(self._e1, value)
self._stack3.append(self._e1)
def _transfer(self):
while self._stack1:
self._push0(self._stack1.pop())
while self._stack3:
self._stack3.pop()
self._e1 = self._e()
def __len__(self):
return self._size
1、按位或最大的最小子数组长度
class Solution: def smallestSubarrays(self, nums: List[int]) -> List[int]: n = len(nums) Sm = SlidingWindowAggregation(lambda: 0, lambda a, b: a | b) for i in range(n): Sm.append(nums[i]) res, j = [0] * n, 0 S = SlidingWindowAggregation(lambda: 0, lambda a, b: a | b) for i in range(n): S.append(nums[i]) while j <= i and S and S.query() == Sm.query(): res[j] = i - j + 1 S.popleft() Sm.popleft() j += 1 return res
2、使数组所有元素变成 1 的最少操作次数
class Solution: def minOperations(self, nums: List[int]) -> int: if gcd(*nums) != 1: return -1 if 1 in nums: return len(nums) - nums.count(1) return minLen(nums) - 1 + len(nums) - 1 def minLen(nums: List[int]) -> int: """gcd为1的最短子数组.不存在返回INF.""" n = len(nums) S = SlidingWindowAggregation(lambda: 0, gcd) res, n = inf, len(nums) for right in range(n): S.append(nums[right]) while S and S.query() == 1: res = min(res, len(S)) S.popleft() return res