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merge_sort.py
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91 lines (77 loc) · 1.94 KB
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"""
Author: OMKAR PATHAK
Created On: 31st July 2017
- Best = Average = Worst = O(n log(n))
"""
import inspect
def merge(a, b):
"""
Function to merge
two arrays / separated lists
:param a: Array 1
:param b: Array 2
:return: merged arrays
"""
c = []
while len(a) != 0 and len(b) != 0:
if a[0] < b[0]:
c.append(a[0])
a.remove(a[0])
else:
c.append(b[0])
b.remove(b[0])
if len(a) == 0:
c += b
else:
c += a
return c
def sort(_list):
"""
Function to sort an array
using merge sort algorithm
:param _list: list of values to sort
:return: sorted
"""
if len(_list) == 0 or len(_list) == 1:
return list(_list)
else:
middle = len(_list)//2
a = sort(_list[:middle])
b = sort(_list[middle:])
return merge(a, b)
from itertools import zip_longest
def sorti(_list, verbose=True):
"""
Function to sort an array
using merge sort algorithm, iteratively
:param _list: list of values to sort
:return: sorted
"""
# breakdown every element into its own list
series = [[i] for i in _list]
while len(series) > 1:
if verbose: print(series)
# iterator to handle two at a time in the zip_longest below
isl = iter(series)
series = [
merge(a, b) if b else a
for a, b in zip_longest(isl, isl)
]
return series[0]
# TODO: Are these necessary?
def time_complexities():
"""
Return information on functions
time complexity
:return: string
"""
return "Best Case: O(nlogn), Average Case: O(nlogn), Worst Case: O(nlogn)"
def get_code(iter=False):
"""
easily retrieve the source code
of the sort function
:return: source code
"""
if iter:
return inspect.getsource(sorti) + "\n"
return inspect.getsource(sort) + "\n" + inspect.getsource(merge)