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@ -56,13 +56,56 @@ comments: true
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=== "C++"
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```cpp title="bucket_sort.cpp"
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[class]{}-[func]{bucketSort}
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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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```
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=== "Python"
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```python title="bucket_sort.py"
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[class]{}-[func]{bucket_sort}
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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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```
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=== "Go"
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@ -160,7 +203,7 @@ comments: true
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[class]{}-[func]{bucketSort}
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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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