Code Explanation:
1. Importing lru_cache
from functools import lru_cache
- Imports lru_cache from Python’s built-in functools module.
- It allows a function to store previously computed results and reuse them when called with the same arguments.
2. Applying the Cache Decorator
@lru_cache(None)
- Applies caching to the function defined below it.
- None means there is no maximum limit on the number of cached results.
- If the function receives the same argument again, Python returns the cached result instead of executing the function body again.
3. Defining the Function
def f(x):
- Defines a function named f.
- The parameter x receives the value passed during the function call.
- In this example, x receives the value 3.
4. Printing Without a New Line
print(x, end="")
- Prints the value of x, which is 3.
- end="" prevents Python from adding a newline after printing.
- This statement executes only when the function body runs, not when a cached result is returned.
5. Returning the Calculated Value
return x * 2
- Multiplies x by 2.
- Since x = 3, the function returns 6.
- The caching decorator stores this result for the argument 3.
6. Calling the Function Twice
print(f(3) + f(3))
- The first f(3) executes the function, prints 3, and returns 6.
- The second f(3) uses the cached result 6, so the function body does not execute again.
- Python adds the returned values: 6 + 6 = 12.
- The outer print() displays 12 immediately after the previously printed 3.
Final Output
312
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