Counting sort algo with sort in place. Args: tlist: target list to sort k: max value assume known before hand n: the length of the given list map info to index of the count list. Adv: The count (after cum sum) will hold the actual position of the eleme
(tlist, k, n)
| 7 | |
| 8 | |
| 9 | def counting_sort(tlist, k, n): |
| 10 | """Counting sort algo with sort in place. |
| 11 | Args: |
| 12 | tlist: target list to sort |
| 13 | k: max value assume known before hand |
| 14 | n: the length of the given list |
| 15 | map info to index of the count list. |
| 16 | Adv: |
| 17 | The count (after cum sum) will hold the actual position of the element in sorted order |
| 18 | Using the above, |
| 19 | |
| 20 | """ |
| 21 | |
| 22 | # Create a count list and using the index to map to the integer in tlist. |
| 23 | count_list = [0] * (k + 1) |
| 24 | |
| 25 | # iterate the tgt_list to put into count list |
| 26 | for i in range(0, n): |
| 27 | count_list[tlist[i]] += 1 |
| 28 | |
| 29 | # Modify count list such that each index of count list is the combined sum of the previous counts |
| 30 | # each index indicate the actual position (or sequence) in the output sequence. |
| 31 | for i in range(1, k + 1): |
| 32 | count_list[i] = count_list[i] + count_list[i - 1] |
| 33 | |
| 34 | flist = [0] * (n) |
| 35 | for i in range(n - 1, -1, -1): |
| 36 | count_list[tlist[i]] = count_list[tlist[i]] - 1 |
| 37 | flist[count_list[tlist[i]]] = tlist[i] |
| 38 | |
| 39 | return flist |
| 40 | |
| 41 | |
| 42 | flist = counting_sort(tlist, k, n) |