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merge_sort_Python.py
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merge_sort_Python.py
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#%%python
import timeit
MAX_ITERS = 100
def merge(A, p, q, r):
n1 = q - p + 1
n2 = r - q
L = [None] * n1
R = [None] * n2
for i in range(n1):
L[i] = A[p + i]
for j in range(n2):
R[j] = A[q + 1 + j]
i = 0
j = 0
k = p
while i < n1 and j < n2:
if L[i] <= R[j]:
A[k] = L[i]
i += 1
else:
A[k] = R[j]
j += 1
k += 1
while i < n1:
A[k] = L[i]
i += 1
k += 1
while j < n2:
A[k] = R[j]
j += 1
k += 1
def merge_sort(A, p, r):
if p < r:
q = (p + r) // 2
merge_sort(A, p, q)
merge_sort(A, q + 1, r)
merge(A, p, q, r)
def run_benchmark_merge_sort():
A = [14, 72, 50, 83, 18, 20, 13, 30, 17, 87, 94, 65, 24, 99, 70, 44, 5, 12, 74, 6, 32, 63, 91, 88, 43, 54, 27, 39, 64, 78, 29, 62, 58, 59, 61, 89, 2, 15, 41, 9, 93, 90, 23, 96, 73, 14, 8, 28, 11, 42, 77, 34, 52, 80, 57, 84, 21, 60, 66, 40, 7, 85, 47, 98, 97, 35, 82, 36, 49, 3, 68, 22, 67, 81, 56, 71, 4, 38, 69, 95, 16, 48, 1, 31, 75, 19, 10, 25, 79, 45, 76, 33, 53, 55, 46, 37, 26, 51, 92, 86]
merge_sort(A, 0, len(A)-1)
print(
"Average execution time of Python `merge_sort` in sec",
timeit.timeit(lambda: run_benchmark_merge_sort(), number=MAX_ITERS),
)
# Average execution time of Python `merge_sort` in sec 0.019136679999064654
def run_benchmark_sort():
A = [14, 72, 50, 83, 18, 20, 13, 30, 17, 87, 94, 65, 24, 99, 70, 44, 5, 12, 74, 6, 32, 63, 91, 88, 43, 54, 27, 39, 64, 78, 29, 62, 58, 59, 61, 89, 2, 15, 41, 9, 93, 90, 23, 96, 73, 14, 8, 28, 11, 42, 77, 34, 52, 80, 57, 84, 21, 60, 66, 40, 7, 85, 47, 98, 97, 35, 82, 36, 49, 3, 68, 22, 67, 81, 56, 71, 4, 38, 69, 95, 16, 48, 1, 31, 75, 19, 10, 25, 79, 45, 76, 33, 53, 55, 46, 37, 26, 51, 92, 86]
A.sort()
print(
"Average execution time of Python builtin `sort` in sec",
timeit.timeit(lambda: run_benchmark_sort(), number=MAX_ITERS),
)
# Average execution time of Python builtin `sort` in sec 0.00019922800129279494