[Solved] Which code snippet correctly implements caching to avoid redundant computations?cache = {} def calculate(n): # What should be done here? | Agentic AI

Agentic AI - Production Agent Architecture

Which code snippet correctly implements caching to avoid redundant computations?

cache = {}
def calculate(n):
    # What should be done here?

Aresult = n + 5 return result

Bif n in cache: return cache[n] result = n + 5 cache[n] = result return result

Ccache[n] = n + 5 return cache[n]

Dif n not in cache: return n + 5 else: return cache[n]

Step-by-Step Solution

Solution:

Step 1: Check cache existence
Verify if the input 'n' is already in the cache to reuse the stored result.
Step 2: Compute and store if missing
If not cached, compute the result and save it in the cache for future calls.
Final Answer:
if n in cache: return cache[n] result = n + 5 cache[n] = result return result correctly implements this logic.
Quick Check:
Cache lookup before compute ensures efficiency. [OK]

Quick Trick: Always check cache before computing to save time [OK]

Common Mistakes:

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Which code snippet correctly implements caching to avoid redundant computations?