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|---|---|---|
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- Cheap Programming Assignment Help
- Sorting an Array using Merge Sort in Python
- Essential Features of Our Cheap Programming Assignment Help Service
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Sorting an Array using Merge Sort in Python
def merge_sort(arr):
if len(arr) <= 1:
return arr
mid = len(arr) // 2
left_half = merge_sort(arr[:mid])
right_half = merge_sort(arr[mid:])
return merge(left_half, right_half)
def merge(left, right):
merged = []
left_idx = 0
right_idx = 0
while left_idx < len(left) and right_idx < len(right):
if left[left_idx] <= right[right_idx]:
merged.append(left[left_idx])
left_idx += 1
else:
merged.append(right[right_idx])
right_idx += 1
merged.extend(left[left_idx:])
merged.extend(right[right_idx:])
return merged
# Example usage
arr = [38, 27, 43, 3, 9, 82, 10]
sorted_arr = merge_sort(arr)
print(f"Sorted array: {sorted_arr}")
In this code:
- The merge_sort function recursively divides the input list arr into halves until each sublist contains one or zero elements.
- The merge function merges two sorted lists (left and right) into a single sorted list merged.
- During merging, elements from left and right are compared and added to merged in ascending order.
- Any remaining elements in left or right are appended to merged after the main merging loop.
- The merge_sort function returns the sorted list arr using the merge function.
The example usage demonstrates sorting an array [38, 27, 43, 3, 9, 82, 10] using the merge_sort function and prints the sorted array.
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