import random import time import sys class ProgressTracker: def __init__(self, total_elements): self.total_elements = total_elements self.processed_elements = 0 self.bar_width = 50 def update(self, elements_processed): self.processed_elements += elements_processed self.display_progress() def display_progress(self): if self.total_elements == 0: return progress = self.processed_elements / self.total_elements filled_length = int(self.bar_width * progress) bar = '*' * filled_length + ' ' * (self.bar_width - filled_length) percentage = progress * 100 sys.stdout.write(f'\rProgress: [{bar}] {percentage:.1f}%') sys.stdout.flush() def finish(self): sys.stdout.write('\n') sys.stdout.flush() def merge_sort(nums, progress_tracker=None): length_of_nums = len(nums) if length_of_nums < 2: return nums split = int(length_of_nums / 2) split_one = nums[0:split] split_two = nums[split:] sorted_left_side = merge_sort(split_one, progress_tracker) sorted_right_side = merge_sort(split_two, progress_tracker) return merge(sorted_left_side, sorted_right_side, progress_tracker) def merge(first, second, progress_tracker=None): final = [] i = 0 j = 0 while i < len(first) and j < len(second): if first[i] <= second[j]: final.append(first[i]) i += 1 else: final.append(second[j]) j += 1 # Add remaining elements if len(first) > 0: for item in first[i:]: final.append(item) if len(second) > 0: for item in second[j:]: final.append(item) # Update progress tracker with the number of elements merged if progress_tracker: progress_tracker.update(len(final)) return final # Create a list of random numbers list_size = 1 * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9 num_list = [random.randint(1, 99999) for _ in range(list_size)] print(f"Sorting a list of {list_size} numbers using Merge Sort...") # Create progress tracker # For merge sort, we'll track based on merge operations # The total number of elements processed during merging is approximately n * log(n) import math estimated_operations = list_size * math.ceil(math.log2(list_size)) progress_tracker = ProgressTracker(estimated_operations) # --- Start the timer (using perf_counter for better benchmarking) --- start_time = time.perf_counter() # --- Call the sorting function --- sorted_list = merge_sort(num_list, progress_tracker) # --- Stop the timer --- end_time = time.perf_counter() # Finish the progress bar progress_tracker.finish() # --- Calculate and print elapsed time --- elapsed_time = end_time - start_time print(f"Elapsed time: {elapsed_time:.4f} seconds") # --- Optional: Print a small portion of the sorted list to verify --- print("First 10 elements of sorted list:", sorted_list[:10]) print("Last 10 elements of sorted list:", sorted_list[-10:])