# Use memoization to optimize the recursive Fibonacci implementation. fibonacci_cache = {} def memoized_fibonacci(n): # Return 1 for the first and second Fibonacci numbers (base case) if n <= 2: return 1 # If the result is already cached, return it from the cache if n in fibonacci_cache: return fibonacci_cache[n] # Recursively calculate the Fibonacci number and store it in the cache fibonacci_cache[n] = memoized_fibonacci(n - 1) + memoized_fibonacci(n - 2) return fibonacci_cache[n] result = memoized_fibonacci(3) print(result)
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