This is one of those "Is there a built-in/better/idiomatic/clever way to do this?" questions.
I want a function--call it fn-pow--that will apply a function f to the result of applying f to an argument, then apply it to the result of applying it to its result, etc., n times. For example,
(fn-pow inc 0 3)
would be equivalent to
(inc (inc (inc 0)))
It's easy to do this with iterate:
(defn fn-pow-0
[f x n]
(nth (iterate f x) n))
but that creates and throws away an unnecessary lazy sequence.
It's not hard to write the function from scratch. Here is one version:
(defn fn-pow-1
[f x n]
(if (> n 0)
(recur f (f x) (dec n))
x))
I found this to be almost twice as fast as fn-pow-0, using Criterium on (fn-pow inc 0 10000000).
I don't consider the definition of fn-pow-1 to be unidiomatic, but fn-pow seems like something that might be a standard built-in function, or there may be some simple way to define it with a couple of higher-order functions in a clever arrangement. I haven't succeeded in discovering either. Am I missing something?
The built-in you are looking for is probably dotimes. I'll tell you why in a round-about fashion.
What you are testing in your benchmark is mainly the overhead of a level of indirection. That (nth (iterate ...) n) is only twice as slow as what compiles to a loop when the body is a very fast function is rather surprising/encouraging. If f is a more costly function, the importance of that overhead diminishes. (Of course if your f is low-level and fast, then you should use a low-level loop construct.)
Say your function takes ~ 1 ms instead
(defn my-inc [x] (Thread/sleep 1) (inc x))
Then both of these will take about 1 second -- the difference is around 2% rather than 100%.
(bench (fn-pow-0 my-inc 0 1000))
(bench (fn-pow-1 my-inc 0 1000))
The other concern is that iterate is creating an unnecessary sequence. But, if you are not holding onto the head, just doing an nth, then you aren't really creating a sequence per se but sequentially creating, using, and discarding LazySeq objects. In other words, you are using a constant amount of space, though generating garbage in proportion to n. However, unless your f is primitive or mutating its argument, then it is already producing garbage in proportion to n in producing its own intermediate results.
An interesting compromise between fn-pow-0 and fn-pow-1 would be
(defn fn-pow-2 [f x n] (reduce (fn [x _] (f x)) x (range n)))
Since range objects know how to intelligently reduce themselves, this does not create additional garbage in proportion to n. It boils down to a loop as well. This is the reduce method of range:
public Object reduce(IFn f, Object start) {
Object ret = f.invoke(start,n);
for(int x = n+1;x < end;x++)
ret = f.invoke(ret, x);
return ret;
}
This was actually the fastest of the three (before adding primitive type-hints on n in the recur version, that is) with the slowed down my-inc.
If you are iterating a function potentially expensive in time or space, such as matrix operations, then you may very well be wanting to use (in a contained manner) an f that mutates its argument to eliminate the garbage overhead. Since mutation is a side effect, and you want that side effect n times, dotimes is the natural choice.
For the sake of example, I'll use an atom as a stand-in, but imagine bashing on a mutable matrix instead.
(def my-x (atom 0))
(defn my-inc! [x] (Thread/sleep 1) (swap! x inc))
(defn fn-pow-3! [f! x n] (dotimes [i n] (f! x)))
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