Step 1: Understanding the Question:
We need to count the total number of times the `mystery` function is called to compute `mystery(4)`. This includes the initial call and all subsequent recursive calls.
Step 2: Recurrence for Call Count:
Let T(n) be the number of calls to compute `mystery(n)`.
- The call to `mystery(n)` itself is 1 call.
- It then calls `mystery(n-1)` and `mystery(n-2)`.
- So, the total number of calls is $T(n) = 1 + T(n-1) + T(n-2)$.
- The base case `if n <= 0` involves one call and then it returns. So, $T(0) = 1$, $T(-1) = 1$.
Step 3: Calculating the Number of Calls:
- `T(0) = 1`
- `T(-1) = 1`
- `T(1) = 1 + T(0) + T(-1) = 1 + 1 + 1 = 3`
- `T(2) = 1 + T(1) + T(0) = 1 + 3 + 1 = 5`
- `T(3) = 1 + T(2) + T(1) = 1 + 5 + 3 = 9`
- `T(4) = 1 + T(3) + T(2) = 1 + 9 + 5 = 15`
Alternatively, we can draw the recursion tree: 
Total nodes = 1 + 2 + 4 + 6 + 2 = 15.
Step 4: Final Answer:
The total number of function calls made to compute mystery(4) is 15.
A recursive function is given:
def mystery(n):
if n $<=$ 0:
return 1
else:
return mystery(n-1) + mystery(n-2)
Find the value of mystery(4).
def fun(L, i=0):
if i $>=$ len(L) - 1:
return 0
if L[i]> L[i+1]:
L[i+1], L[i] = L[i], L[i+1]
return 1 + fun(L, i+1)
else:
return fun(L, i+1)
data = [5, 3, 4, 1, 2]
count = 0
for _ in range(len(data)):
count += fun(data)
print(count)
Consider two distinct positive numbers \( m, n \) with \( m > n \). Let \[ x = n^{\log_n m}, \quad y = m^{\log_m n}. \] The relation between \( x \) and \( y \) is -