英文:
Is there an easier or more efficient method to find the average running time of an algorithm?
问题
# 创建50个链表，每个链表包含2500个随机整数for i in range(0, 50):myList = LinkedList()start = time.time()for i in range(0, 2500):myList.append(randint(0, 9))end = time.time()runtime = end - startruntimes = []runtimes.append(runtime)for i in range(len(runtimes)):average = 0average += runtimeaverage /= len(runtimes)print(average) # 10秒# 想知道是否有更好的方法来计算平均值，而不是将每个运行时间添加到一个列表中，循环遍历运行时间列表，将每个运行时间添加到“average”，然后除以运行时间列表的长度。
英文:
# create 50 linked list with 2500 random integersfor i in range(0, 50):myList = LinkedList()start = time.time()for i in range(0, 2500):myList.append(randint(0, 9))end = time.time()runtime = end - startruntimes = []runtimes.append(runtime)for i in range(len(runtimes)):average = 0average += runtimeaverage /= len(runtimes)print(average) # 10s
Wondering if there's a better method to find the average instead of adding each run time to a list, looping through the list of runtimes, adding each runtime to average , then dividing by the length of the list of runtimes.
答案1
得分: 1
是的
import timeitttl = timeit.timeit(lambda: alist.append(5),number=2500)print(f"花费了 {ttl} ... 平均值: {ttl/2500}")
或者甚至是 sum(runtimes)/len(runtimes)
英文:
yes
import timeitttl = timeit.timeit(lambda: alist.append(5),number=2500)print(f"Took {ttl} ... avg: {ttl/2500}")
or even really sum(runtimes)/len(runtimes)
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