def mysterious_function(n):     if n >= 222:         return n-14     else:         return mysterious_function(mysterious_function(n+15))   print(mysterious_function(110)) print(mysterious_function(40)) print(mysterious_function(56)) Check this code and: Empirically, using time measurements, test your algorithm and plot a graph that shows its growth rate when variating the input. Note: your input should be within the input range ?≤222

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Polynomial Time

The problems for which the deterministic polynomial-time algorithm exists belong to the complexity class (p) and it is central in the field of computational complexity theory. According to Cobham’s thesis, polynomial time is a synonym for “feasible”, “fast”, and “efficient”.