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题目:
题解:
import numpy as np from bisect import bisect_left class Solution: max_len = 10000 c = [] buckets = [] def countSmaller(self, nums: List[int]) -> List[int]: self.c = [0 for _ in range(len(nums) + 5)] counts = [0 for _ in range(len(nums))] nums = self.discretization(nums) for i in range(len(nums) - 1, -1, -1): num = nums[i] counts[i] = self.query(num-1) self.updateC(num) return counts def updateC(self, pos): while pos < len(self.c): self.c[pos] += 1 pos += self.lowbit(pos) def lowbit(self, x): """获取更新范围""" return x & (-x) def query(self, pos): """查询前缀和""" val = 0 while pos > 0: val += self.c[pos] pos -= self.lowbit(pos) return val def getMappingList(self, nums): """列表去重排序""" return list(sorted(set(nums))) def discretization(self, nums): """将nums进行离散化变换""" mapping = self.getMappingList(nums) return [bisect_left(mapping, num) + 1 for num in nums]