Python/sorts/comb_sort.py

64 lines
1.8 KiB
Python
Raw Normal View History

2018-10-02 02:43:25 +00:00
"""
This is pure Python implementation of comb sort algorithm.
Comb sort is a relatively simple sorting algorithm originally designed by Wlodzimierz
Dobosiewicz in 1980. It was rediscovered by Stephen Lacey and Richard Box in 1991.
Comb sort improves on bubble sort algorithm.
In bubble sort, distance (or gap) between two compared elements is always one.
Comb sort improvement is that gap can be much more than 1, in order to prevent slowing
down by small values
at the end of a list.
More info on: https://en.wikipedia.org/wiki/Comb_sort
2018-10-02 02:43:25 +00:00
For doctests run following command:
python -m doctest -v comb_sort.py
or
python3 -m doctest -v comb_sort.py
For manual testing run:
python comb_sort.py
"""
2019-10-05 05:14:13 +00:00
def comb_sort(data: list) -> list:
2018-10-02 02:43:25 +00:00
"""Pure implementation of comb sort algorithm in Python
:param data: mutable collection with comparable items
:return: the same collection in ascending order
2018-10-02 02:43:25 +00:00
Examples:
>>> comb_sort([0, 5, 3, 2, 2])
[0, 2, 2, 3, 5]
>>> comb_sort([])
[]
>>> comb_sort([99, 45, -7, 8, 2, 0, -15, 3])
[-15, -7, 0, 2, 3, 8, 45, 99]
2018-10-02 02:43:25 +00:00
"""
shrink_factor = 1.3
gap = len(data)
completed = False
2018-10-02 02:43:25 +00:00
while not completed:
# Update the gap value for a next comb
gap = int(gap / shrink_factor)
if gap <= 1:
completed = True
2018-10-02 02:43:25 +00:00
index = 0
while index + gap < len(data):
if data[index] > data[index + gap]:
2018-10-02 02:46:47 +00:00
# Swap values
data[index], data[index + gap] = data[index + gap], data[index]
completed = False
index += 1
2018-10-02 02:43:25 +00:00
return data
2019-10-05 05:14:13 +00:00
if __name__ == "__main__":
import doctest
doctest.testmod()
2019-10-05 05:14:13 +00:00
user_input = input("Enter numbers separated by a comma:\n").strip()
unsorted = [int(item) for item in user_input.split(",")]
2018-10-02 02:43:25 +00:00
print(comb_sort(unsorted))