[Solved] What will be the output of this code snippet?data = [1, 3, 5, 7] window_size = 2 max_sums = [] for i in range(len(data) - window_size + 1): max_sums.append(max(data[i:i+window_size])) print(max_sums) | Rest API

Rest API - Rate Limiting and Throttling

What will be the output of this code snippet?

data = [1, 3, 5, 7]
window_size = 2
max_sums = []
for i in range(len(data) - window_size + 1):
    max_sums.append(max(data[i:i+window_size]))
print(max_sums)

A[3, 5, 7]

B[1, 3, 5]

C[4, 8, 12]

D[7, 7, 7]

Step-by-Step Solution

Solution:

Step 1: Identify sliding windows and their max values
Windows: [1,3], max=3; [3,5], max=5; [5,7], max=7.
Step 2: Collect max values in list
max_sums = [3, 5, 7], matching [3, 5, 7].
Final Answer:
[3, 5, 7] -> Option A
Quick Check:
Max per window = [3, 5, 7] [OK]

Quick Trick: Use max() on each window slice [OK]

Common Mistakes:

Summing instead of taking max
Wrong window slices or indices

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What will be the output of this code snippet?

Step 1: Identify sliding windows and their max values

Step 2: Collect max values in list

Final Answer:

Quick Check:

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