Python/sorts/quick_sort.py
BruceLee569 34889fc6d8 Update quick_sort.py (#928)
Use the last element as the first pivot, for it's easy to pop, this saves one element space.
Iterating with the original list saves half the space, instead of generate a new shallow copy list by slice method.
2019-06-28 23:55:31 +08:00

58 lines
1.5 KiB
Python

"""
This is a pure python implementation of the quick sort algorithm
For doctests run following command:
python -m doctest -v quick_sort.py
or
python3 -m doctest -v quick_sort.py
For manual testing run:
python quick_sort.py
"""
from __future__ import print_function
def quick_sort(collection):
"""Pure implementation of quick sort algorithm in Python
:param collection: some mutable ordered collection with heterogeneous
comparable items inside
:return: the same collection ordered by ascending
Examples:
>>> quick_sort([0, 5, 3, 2, 2])
[0, 2, 2, 3, 5]
>>> quick_sort([])
[]
>>> quick_sort([-2, -5, -45])
[-45, -5, -2]
"""
length = len(collection)
if length <= 1:
return collection
else:
# Use the last element as the first pivot
pivot = collection.pop()
# Put elements greater than pivot in greater list
# Put elements lesser than pivot in lesser list
greater, lesser = [], []
for element in collection:
if element > pivot:
greater.append(element)
else:
lesser.append(element)
return quick_sort(lesser) + [pivot] + quick_sort(greater)
if __name__ == '__main__':
try:
raw_input # Python 2
except NameError:
raw_input = input # Python 3
user_input = raw_input('Enter numbers separated by a comma:\n').strip()
unsorted = [ int(item) for item in user_input.split(',') ]
print( quick_sort(unsorted) )