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Add bucket_sort.cpp and bucket_sort.py (#446)
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3 changed files with 78 additions and 1 deletions
44
codes/cpp/chapter_sorting/bucket_sort.cpp
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44
codes/cpp/chapter_sorting/bucket_sort.cpp
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/**
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* File: bucket_sort.cpp
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* Created Time: 2023-03-30
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* Author: Krahets (krahets@163.com)
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*/
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#include "../include/include.hpp"
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/* 桶排序 */
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void bucketSort(vector<float> &nums) {
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// 初始化 k = n/2 个桶,预期向每个桶分配 2 个元素
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int k = nums.size() / 2;
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vector<vector<float>> buckets(k);
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// 1. 将数组元素分配到各个桶中
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for (float num : nums) {
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// 输入数据范围 [0, 1),使用 num * k 映射到索引范围 [0, k-1]
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int i = num * k;
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// 将 num 添加进桶 bucket_idx
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buckets[i].push_back(num);
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}
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// 2. 对各个桶执行排序
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for (vector<float> &bucket : buckets) {
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// 使用内置排序函数,也可以替换成其它排序算法
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sort(bucket.begin(), bucket.end());
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}
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// 3. 遍历桶合并结果
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int i = 0;
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for (vector<float> &bucket : buckets) {
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for (float num : bucket) {
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nums[i++] = num;
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}
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}
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}
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/* Driver Code */
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int main() {
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// 设输入数据为浮点数,范围为 [0, 1)
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vector<float> nums = {0.49f, 0.96f, 0.82f, 0.09f, 0.57f, 0.43f, 0.91f, 0.75f, 0.15f, 0.37f};
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bucketSort(nums);
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cout << "桶排序完成后 nums = ";
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PrintUtil::printVector(nums);
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return 0;
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}
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codes/python/chapter_sorting/bucket_sort.py
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codes/python/chapter_sorting/bucket_sort.py
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"""
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File: bucket_sort.py
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Created Time: 2023-03-30
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Author: Krahets (krahets@163.com)
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"""
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def bucket_sort(nums: list[float]) -> None:
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# 初始化 k = n/2 个桶,预期向每个桶分配 2 个元素
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k = len(nums) // 2
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buckets = [[] for _ in range(k)]
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# 1. 将数组元素分配到各个桶中
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for num in nums:
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# 输入数据范围 [0, 1),使用 num * k 映射到索引范围 [0, k-1]
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i = int(num * k)
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# 将 num 添加进桶 i
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buckets[i].append(num)
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# 2. 对各个桶执行排序5
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for bucket in buckets:
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# 使用内置排序函数,也可以替换成其它排序算法
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bucket.sort()
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# 3. 遍历桶合并结果
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i = 0
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for bucket in buckets:
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for num in bucket:
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nums[i] = num
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i += 1
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if __name__ == '__main__':
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# 设输入数据为浮点数,范围为 [0, 1)
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nums = [0.49, 0.96, 0.82, 0.09, 0.57, 0.43, 0.91, 0.75, 0.15, 0.37]
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bucket_sort(nums)
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print("桶排序完成后 nums =", nums)
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[class]{}-[func]{bucketSort}
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[class]{}-[func]{bucketSort}
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```
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```
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!!! question "桶排序的应用场景是什么?"
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!!! question "桶排序的应用场景是什么?"
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桶排序一般用于排序超大体量的数据。例如输入数据包含 100 万个元素,由于空间有限,系统无法一次性将所有数据加载进内存,那么可以先将数据划分到 1000 个桶里,再依次排序每个桶,最终合并结果即可。
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桶排序一般用于排序超大体量的数据。例如输入数据包含 100 万个元素,由于空间有限,系统无法一次性将所有数据加载进内存,那么可以先将数据划分到 1000 个桶里,再依次排序每个桶,最终合并结果即可。
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