计算时间复杂度是计算机科学中的重要技能,尤其是在算法和数据结构的领域。以下是关于Python时间复杂度计算的20个问题,这些问题可以用于测试对时间复杂度的理解:
for i in range(n):
print(i)
for i in range(n):
for j in range(n):
print(i, j)
i = 1
while i < n:
i *= 2
for i in range(n):
for j in range(m):
print(i, j)
[x for x in range(n) if x % 2 == 0]
for i in range(n):
pass
for j in range(m):
pass
max_value = lst[0]
for num in lst:
if num > max_value:
max_value = num
while left <= right:
mid = (left + right) // 2
if arr[mid] == target:
break
elif arr[mid] < target:
left = mid + 1
else:
right = mid - 1
def factorial(n):
if n == 1:
return 1
return n * factorial(n-1)
for i in range(len(lst)):
for j in range(i + 1, len(lst)):
if lst[i] == lst[j]:
print("Duplicate found")
for i in range(n):
for j in range(n):
for k in range(n):
print(i, j, k)
for i in range(n):
for j in range(m):
for k in range(l):
print(i, j, k)
total = 0
for num in lst:
total += num
i = n
while i > 0:
print(i)
i //= 2
for i in range(n):
for j in range(i):
print(i, j)
for i in range(n):
for j in range(i, n):
print(i, j)
k = 0
for i in range(n):
k = k + 1
for j in range(m):
k = k - 1
for i in range(n):
print(i)
for j in range(n, 0, -1):
print(j)
def fibonacci(n):
if n <= 1:
return n
return fibonacci(n-1) + fibonacci(n-2)
for i in range(n):
print(i)
for j in range(m):
print(j)