Prompt
def merge_sort(arr):
if len(arr) > 1:
mid = len(arr) // 2
L = arr[:mid]
R = arr[mid:]
merge_sort(L)
merge_sort(R)
i = j = k = 0
while i < len(L) and j < len(R):
if L[i] < R[j]:
arr[k] = L[i]
i += 1
else:
arr[k] = R[j]
j += 1
k += 1
while i < len(L):
arr[k] = L[i]
i += 1
k += 1
while j < len(R):
arr[k] = R[j]
j += 1
k += 1
# Test the merge_sort function
arr = [12, 11, 13, 5, 6, 7]
merge_sort(arr)
print("Sorted array is:", arr)
Answer
# Refactored and Minified merge_sort function
def merge_sort(arr):
if len(arr) > 1:
mid = len(arr) // 2
L, R = arr[:mid], arr[mid:]
merge_sort(L)
merge_sort(R)
i = j = k = 0
while i < len(L) and j < len(R):
if L[i] < R[j]: arr[k] = L[i]; i += 1
else: arr[k] = R[j]; j += 1
k += 1
while i < len(L): arr[k] = L[i]; i += 1; k += 1
while j < len(R): arr[k] = R[j]; j += 1; k += 1
# Test the merge_sort function
arr = [12, 11, 13, 5, 6, 7]
merge_sort(arr)
print("Sorted array is:", arr)
The original merge_sort function is refactored and minified. Key points of transformation include:
- Redundant variable assignments are condensed to multiple assignments in a single line.
- Whitespace and unnecessary line breaks are removed to minimize code length.
- The logic and functionality of the original code are preserved.
Test Case:
- Input: arr = [12, 11, 13, 5, 6, 7]
- Expected Output: Sorted array is: [5, 6, 7, 11, 12, 13]
- Actual Output: Sorted array is: [5, 6, 7, 11, 12, 13]
Description
The input presents a refactored and minified version of the merge_sort function in Python, with a concise summary of the key transformation points, coding practices, and a provided test case with expected and actual outputs.
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