Python Multi-threading and Concurrency: Multi-threaded merge sort implementation
Python Multi-threading: Exercise-5 with Solution
Write a Python program to implement a multi-threaded merge sort algorithm.
Sample Solution:
Python Code:
import threading
def merge_sort(arr):
if len(arr) <= 1:
return arr
mid = len(arr) // 2
left = arr[:mid]
right = arr[mid:]
left = merge_sort(left)
right = merge_sort(right)
return merge(left, right)
def merge(left, right):
merged = []
i = j = 0
while i < len(left) and j < len(right):
if left[i] <= right[j]:
merged.append(left[i])
i += 1
else:
merged.append(right[j])
j += 1
while i < len(left):
merged.append(left[i])
i += 1
while j < len(right):
merged.append(right[j])
j += 1
return merged
def multi_threaded_merge_sort(arr, num_threads):
if num_threads <= 1:
return merge_sort(arr)
# Divide the input list into equal-sized sublists
size = len(arr) // num_threads
sublists = [arr[i:i+size] for i in range(0, len(arr), size)]
# Create threads for sorting each sublist
threads = []
sorted_sublists = []
for sublist in sublists:
thread = threading.Thread(target=lambda sublist: sorted_sublists.append(merge_sort(sublist)), args=(sublist,))
thread.start()
threads.append(thread)
# Wait for all threads to complete
for thread in threads:
thread.join()
# Merge the sorted sublists
merged = sorted_sublists[0]
for sublist in sorted_sublists[1:]:
merged = merge(merged, sublist)
return merged
# Example usage
input_list = [ 4,5,8,3,0,5,3,9,4,3]
num_threads = 2
print("Original List:", input_list )
sorted_list = multi_threaded_merge_sort(input_list, num_threads)
print("Sorted list:", sorted_list)
Sample Output:
Original List: [4, 5, 8, 3, 0, 5, 3, 9, 4, 3] Sorted list: [0, 3, 3, 3, 4, 4, 5, 5, 8, 9]
Explanation:
In the above exercise, we define a "merge_sort()" function that implements the regular merge sort algorithm to sort a given list. A "merge()" function is also defined, which merges two sorted lists into one.
The "multi_threaded_merge_sort()" function takes the input list and the number of threads as arguments. It divides the input list into equal-sized sublists and creates threads for sorting each sublist. Each thread runs the "merge_sort()" function independently. After all the threads complete, the program merges the sorted sublists using the "merge()" function.
Flowchart:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous: Multi-threaded factorial calculation.
Next: Multi-threaded quicksort implementation.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://www.w3resource.com/python-exercises/threading/python-multi-threading-exercise-5.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics