TL;DR: yes, with continuation-passing style.
Very interesting question! Nested list is a tree, so you're merging a linear list of values into a tree's fringe, according to the presence of a keyword 'slot
there.
So we start, as is usual in structural recursions tasks, with traversing a tree to just create an exact copy of it, to get a hang of it,
(define (copy-tree tree)
(cond
[(not (pair? tree)) tree] ; return the leaf
[else (cons (copy-tree (car tree)) ; combine results from car
(copy-tree (cdr tree)))])) ; and results from cdr
Next we linearize it by going CPS,
(define (copy-tree tree k)
(cond
[(not (pair? tree)) (k tree)] ; "return" the leaf into k
[else (copy-tree (car tree) (lambda (r) ; collect results from car as r
(copy-tree (cdr tree) (lambda (q) ; collect results from cdr as q
(k (cons r q))))))])) ; "return" combined r and q into k
and then we thread our state through, traversing the list of given values to substitute for each instance of the keyword:
(define (merge-tree-fringe vals tree keywd k)
(cond
[(not (pair? tree)) ; for each leaf:
(if (not (eq? tree keywd)) ; if it is not the keyword,
(k vals tree) ; "return" vals AND leaf into k, or
(k (cdr vals) (car vals)))] ; USE the first of vals, if it is
[else
(merge-tree-fringe vals (car tree) keywd (lambda (Avals r) ; collect from car,
(merge-tree-fringe Avals (cdr tree) keywd (lambda (Dvals q) ; collect from cdr,
(k Dvals (cons r q))))))])) ; return the last vals and the combined results
We call it as
> (merge-tree-fringe '(1 2 3 4)
'(* slot (- slot (/ slot slot)))
'slot
(lambda (v r) r))
'(* 1 (- 2 (/ 3 4)))
> (merge-tree-fringe '(1 2 3 4)
'(* (+ slot slot) (- slot slot))
'slot
(lambda (v r) r))
'(* (+ 1 2) (- 3 4))
This can be further cleaned up by adding error checking, and converting to an internal definition with shorter name and fewer arguments.
edit: In a pattern-matching pseudocode, which might be easier to read/follow, it is
merge-tree-fringe vals tree keywd = g vals tree (v r => r)
where
g vals [a, ...d] k = g vals a (avals r =>
g avals d (dvals q =>
k dvals [r, ...q]))
g [v, ...vs] lf k
| lf == keywd = k vs v -- use first value for a matching leaf
g vals lf k = k vals lf
This computational pattern of threading a changing state through the computations is exactly what (Haskell's) State monad is about; the above would be written there (sans the particulars of the "tree" type) as
merge_tree_fringe vals tree keywd = evalState (g tree) vals
where
g (a:d) = do { r <- g a ; q <- g d ; return (r:q) }
g lf | lf == keywd = do { (v:vs) <- get ; put vs ; return v }
| otherwise = do { return lf }
where the state - our "values" - is passed around as part of a "stateful computation pipeline" implicitly, with automatically correct sequencing (which we had to take care of manually, using the avals
and dvals
carefully each in its appropriate place in our Scheme code); and evalState
performs this whole combined computation while discarding the end state, returning only the finally computed value just like our collector/continuation-function (lambda (v r) r)
did.
Turning the latter into the former is a matter of a purely syntactic transformation. So it's nothing special, this "monad" thing, after all. It's a computational pattern, explicated, captured.