Clarify search algorithms in different minikanren implementation - scheme

I am currently learning miniKanren by The Reasoned Schemer and Racket.
I have three versions of minikanren implementation:
The Reasoned Schemer, First Edition (MIT Press, 2005). I called it TRS1
https://github.com/miniKanren/TheReasonedSchemer
PS. It says that condi has been replaced by an improved version of conde which performs interleaving.
The Reasoned Schemer, Second Edition (MIT Press, 2018). I called it TRS2
https://github.com/TheReasonedSchemer2ndEd/CodeFromTheReasonedSchemer2ndEd
The Reasoned Schemer, First Edition (MIT Press, 2005). I called it TRS1*
https://docs.racket-lang.org/minikanren/
I have did some experiments about the three implementations above:
1st experiment:
TRS1
(run* (r)
(fresh (x y)
(conde
((== 'a x) (conde
((== 'c y) )
((== 'd y))))
((== 'b x) (conde
((== 'e y) )
((== 'f y)))))
(== `(,x ,y) r)))
;; => '((a c) (a d) (b e) (b f))
TRS2
(run* (x y)
(conde
((== 'a x) (conde
((== 'c y) )
((== 'd y))))
((== 'b x) (conde
((== 'e y) )
((== 'f y))))))
;; => '((a c) (a d) (b e) (b f))
TRS1*
(run* (r)
(fresh (x y)
(conde
((== 'a x) (conde
((== 'c y) )
((== 'd y))))
((== 'b x) (conde
((== 'e y) )
((== 'f y)))))
(== `(,x ,y) r)))
;; => '((a c) (b e) (a d) (b f))
Notice that, in the 1st experiment, TRS1 and TRS2 produced the same result, but TRS1* produced a different result.
It seems that the conde in TRS1 and TRS2 use the same search algorithm, but TRS1* use a different algorithm.
2nd experiment:
TRS1
(define listo
(lambda (l)
(conde
((nullo l) succeed)
((pairo l)
(fresh (d)
(cdro l d)
(listo d)))
(else fail))))
(define lolo
(lambda (l)
(conde
((nullo l) succeed)
((fresh (a)
(caro l a)
(listo a))
(fresh (d)
(cdro l d)
(lolo d)))
(else fail))))
(run 5 (x)
(lolo x))
;; => '(() (()) (() ()) (() () ()) (() () () ()))
TRS2
(defrel (listo l)
(conde
((nullo l))
((fresh (d)
(cdro l d)
(listo d)))))
(defrel (lolo l)
(conde
((nullo l))
((fresh (a)
(caro l a)
(listo a))
(fresh (d)
(cdro l d)
(lolo d)))))
(run 5 x
(lolo x))
;; => '(() (()) ((_0)) (() ()) ((_0 _1)))
TRS1*
(define listo
(lambda (l)
(conde
((nullo l) succeed)
((pairo l)
(fresh (d)
(cdro l d)
(listo d)))
(else fail))))
(define lolo
(lambda (l)
(conde
((nullo l) succeed)
((fresh (a)
(caro l a)
(listo a))
(fresh (d)
(cdro l d)
(lolo d)))
(else fail))))
(run 5 (x)
(lolo x))
;; => '(() (()) ((_.0)) (() ()) ((_.0 _.1)))
Notice that, in the 2nd experiment, TRS2 and TRS1* produced the same result, but TRS1 produced a different result.
It seems that the conde in TRS2 and TRS1* use the same search algorithm, but TRS1 use a different algorithm.
These makes me very confusion.
Could someone help me to clarify these different search algorithms in each minikanren implementation above?
Very thanks.
---- ADD A NEW EXPERIMENT ----
3nd experiment:
TRS1
(define (tmp-rel y)
(conde
((== 'c y) )
((tmp-rel-2 y))))
(define (tmp-rel-2 y)
(== 'd y)
(tmp-rel-2 y))
(run 1 (r)
(fresh (x y)
(conde
((== 'a x) (tmp-rel y))
((== 'b x) (conde
((== 'e y) )
((== 'f y)))))
(== `(,x ,y) r)))
;; => '((a c))
However, run 2 or run 3 loops.
If I use condi instead of conde, then run 2 works but run 3 still loop.
TRS2
(defrel (tmp-rel y)
(conde
((== 'c y) )
((tmp-rel-2 y))))
(defrel (tmp-rel-2 y)
(== 'd y)
(tmp-rel-2 y))
(run 3 r
(fresh (x y)
(conde
((== 'a x) (tmp-rel y))
((== 'b x) (conde
((== 'e y) )
((== 'f y)))))
(== `(,x ,y) r)))
;; => '((b e) (b f) (a c))
This is OK, except that the order is not as expected.
Notice that (a c) is at the last now.
TR1*
(define (tmp-rel y)
(conde
((== 'c y) )
((tmp-rel-2 y))))
;;
(define (tmp-rel-2 y)
(== 'd y)
(tmp-rel-2 y))
(run 2 (r)
(fresh (x y)
(conde
((== 'a x) (tmp-rel y))
((== 'b x) (conde
((== 'e y) )
((== 'f y)))))
(== `(,x ,y) r)))
;; => '((a c) (b e))
However, run 3 loops.

Your first experiment in TRS1 implementation, in Prolog ("and" is ,, "or" is ;) and in an equivalent symbolic Logic notation ("and" is *, "or" is +), proceeds as if
ex1_TRS1( R )
:= ( X=a , ( Y=c ; Y=d ) ; X=b , ( Y=e ; Y=f ) ) , R=[X,Y] ;; Prolog
== ( {X=a} * ({Y=c} + {Y=d}) + {X=b} * ({Y=e} + {Y=f}) ) * {R=[X,Y]} ;; Logic
== ( ({X=a}*{Y=c} + {X=a}*{Y=d}) + ({X=b}*{Y=e} + {X=b}*{Y=f}) ) * {R=[X,Y]} ;; 1
----( ( <A> + <B> ) + ( <C> + <D> ) )------------
----( <A> + <B> + <C> + <D> )------------
== ( {X=a}*{Y=c} + {X=a}*{Y=d} + {X=b}*{Y=e} + {X=b}*{Y=f} ) * {R=[X,Y]} ;; 2
== {X=a}*{Y=c}*{R=[X,Y]} ;; Distribution
+ {X=a}*{Y=d}*{R=[X,Y]}
+ {X=b}*{Y=e}*{R=[X,Y]}
+ {X=b}*{Y=f}*{R=[X,Y]}
== {X=a}*{Y=c}*{R=[a,c]}
+ {X=a}*{Y=d}*{R=[a,d]} ;; Reconciling
+ {X=b}*{Y=e}*{R=[b,e]}
+ {X=b}*{Y=f}*{R=[b,f]}
;; Reporting
== {R=[a,c]} + {R=[a,d]} + {R=[b,e]} + {R=[b,f]}
;; => ((a c) (a d) (b e) (b f))
The * operation must perform some validations, so that {P=1}*{P=2} ==> {}, i.e. nothing at all, since those two assignments are inconsistent with one another. It can also perform simplifications by substitution, going from {X=a}*{Y=c}*{R=[X,Y]} to {X=a}*{Y=c}*{R=[a,c]}.
Evidently, in this implementation, ((<A> + <B>) + (<C> + <D>)) == (<A> + <B> + <C> + <D>) (as seen in the ;; 1 --> ;; 2 step). Apparently it is the same in TRS2:
ex1_TRS2( [X,Y] ) := ( X=a, (Y=c ; Y=d) ; X=b, (Y=e ; Y=f) ).
;; => ((a c) (a d) (b e) (b f))
But in TRS1* the results' ordering is different,
ex1_TRS1_star( R ) := ( X=a, (Y=c ; Y=d) ; X=b, (Y=e ; Y=f) ), R=[X,Y].
;; => ((a c) (b e) (a d) (b f))
so there it must have been ((<A> + <B>) + (<C> + <D>)) == (<A> + <C> + <B> + <D>).
Up to the ordering, the results are the same.
There's no search algorithm in the book, just the solutions streams' mixing algorithm. But since the streams are lazy it achieves the same thing.
You can go through the rest in the same manner and discover more properties of + in each particular implementation.

After several days of research, I think I have been able to answer this question.
1. Concept clarification
First of all, I'd like to clarify some concepts:
There are two well-known models of non-deterministic computation: the stream model and the two-continuations model. Most of miniKanren implementations use the stream model.
PS. The term "backtracking" generally means depth-first search (DFS), which can be modeled by either the stream model or the two-continuations model. (So when I say "xxx get tried", it doesn't mean that the underlying implementation have to use two-continuations model. It can be implemented by stream model, e.g. minikanren.)
2. Explain the different versions of the conde or condi
2.1 conde and condi in TRS1
TRS1 provides two goal constructors for non-deterministic choice, conde and condi.
conde uses DFS, which be implemented by MonadPlus of stream.
The disadvantage of MonadPlus is that it is not fair. When the first alternative offers an infinite number of results, the second alternative is never tried. It making the search incomplete.
To solve this incomplete problem, TRS1 introduced condi which can interleave the two results.
The problem of the condi is that it can’t work well with divergence (I mean dead loop with no value). For example, if the first alternative diverged, the second alternative still cannot be tried.
This phenomenon is described in the Frame 6:30 and 6:31 of the book. In some cases you may use alli to rescue, see Frame 6:32, but in general it still can not cover all the diverged cases, see Frame 6:39 or the following case: (PS. All these problems do not exist in TRS2.)
(define (nevero)
(all (nevero)))
(run 2 (q)
(condi
((nevero))
((== #t q))
((== #f q))))
;; => divergence
Implementation details:
In TRS1, a stream is a standard stream, i.e. lazy-list.
The conde is implemented by mplus:
(define mplus
(lambda (a-inf f)
(case-inf a-inf
(f)
((a) (choice a f))
((a f0) (choice a (lambdaf# () (mplus (f0) f)))))))
The condi is implemented by mplusi
:(define mplusi
(lambda (a-inf f)
(case-inf a-inf
(f)
((a) (choice a f))
((a f0) (choice a (lambdaf# () (mplusi (f) f0)))))) ; interleaving
2.2 conde in TRS2
TRS2 removed the above two goal constructors and provided a new conde .
The conde like the condi, but only interleaving when the first alternative is a return value of a relation which be defined by defref. So it is actually more like the old conde if you won't use defref.
The conde also fixed the above problem of condi.
Implementation details:
In TRS2, a stream is not a standard stream.
As the book says that
A stream is either the empty list, a pair whose cdr is a stream, or a suspension.
A suspension is a function formed from (lambda () body) where (( lambda () body)) is a stream.
So in TRS2, streams are not lazy in every element, but just lazy at suspension points.
There is only one place to initially create a suspension, i.e. defref:
(define-syntax defrel
(syntax-rules ()
((defrel (name x ...) g ...)
(define (name x ...)
(lambda (s)
(lambda ()
((conj g ...) s)))))))
This is reasonable because the "only" way to produce infinite results or diverge is recursive relation. It also means that if you use define instead of defrel to define a relation, you will encounter the same problem of conde in TRS1 (It is OK for finite depth-first search).
Note that I had to put quotation marks on the "only" because most of the time we will use recursive relations, however you still can produce infinite results or diverge by mixing Scheme's named let, for example:
(run 10 q
(let loop ()
(conde
((== #f q))
((== #t q))
((loop)))))
;; => divergence
This diverged because there is no suspension now.
We can work around it by wrapping a suspension manually:
(define-syntax Zzz
(syntax-rules ()
[(_ g) (λ (s) (λ () (g s)))]))
(run 10 q
(let loop ()
(Zzz (conde
((== #f q))
((== #t q))
((loop)))) ))
;; => '(#f #t #f #t #f #t #f #t #f #t)
The conde is implemented by append-inf:
(define (append-inf s-inf t-inf)
(cond
((null? s-inf) t-inf)
((pair? s-inf)
(cons (car s-inf)
(append-inf (cdr s-inf) t-inf)))
(else (lambda () ; interleaving when s-inf is a suspension
(append-inf t-inf (s-inf))))))
2.3 conde in TRS1*
TRS1* originates from the early paper "From Variadic Functions to Variadic Relations A miniKanren Perspective". As TRS2, TRS1* also removed the two old goal constructors and provided a new conde.
The conde like the conde in TRS2, but only interleaving when the first alternative itself is a conde.
The conde also fixed the above problem of condi.
Note that there is no defref in TRS1*. Therefore if the recursive relations are not starting from conde, you will encounter the same problem of condi in TRS1. For example,
(define (nevero)
(fresh (x)
(nevero)))
(run 2 (q)
(conde
((nevero))
((== #t q))
((== #f q))))
;; => divergence
We can work around this problem by wrapping a conde manually:
(define (nevero)
(conde
((fresh (x)
(nevero)))))
(run 2 (q)
(conde
((nevero))
((== #t q))
((== #f q))
))
;; => '(#t #f)
Implementation details:
In TRS1*, the stream is the standard stream + suspension.
(define-syntax conde
(syntax-rules ()
((_ (g0 g ...) (g1 g^ ...) ...)
(lambdag# (s)
(inc ; suspension which represents a incomplete stream
(mplus*
(bind* (g0 s) g ...)
(bind* (g1 s) g^ ...) ...))))))
(define-syntax mplus*
(syntax-rules ()
((_ e) e)
((_ e0 e ...) (mplus e0 (lambdaf# () (mplus* e ...)))))) ; the 2nd arg of the mplus application must wrap a suspension, because multiple clauses of a conde are just syntactic sugar of nested conde with 2 goals.
It also means that the named let loop problem above does not exist in TRS1*.
The conde is implemented by the interleaving mplus:
(define mplus
(lambda (a-inf f)
(case-inf a-inf
(f)
((a) (choice a f))
((a f^) (choice a (lambdaf# () (mplus (f) f^))))
((f^) (inc (mplus (f) f^)))))) ; interleaving when a-inf is a suspension
; assuming f must be a suspension
Note that although the function is named mplus, it is not a legal MonadPlus because it does not obey MonadPlus law.
3. Explain these experiments in the question.
Now I can explain these experiments in the question.
1st experiment
TRS1 => '((a c) (a d) (b e) (b f)) , because conde in TRS1 is DFS.
TRS2 => '((a c) (a d) (b e) (b f)) , because conde in TRS2 is DFS if no defref involved.
TRS1* => '((a c) (b e) (a d) (b f)), because conde in TRS1* is interleaving (the outmost conde make the two innermost condes interleaving).
Note that if we replace conde with condi in TRS1, the result will be the same as TRS1*.
2nd experiment
TRS1 => '(() (()) (() ()) (() () ()) (() () () ())) , because conde in TRS1 is DFS. The second clause of conde in listo is never tried, since when (fresh (d) (cdro l d) (lolo d) is binded to the first clause of conde in listo it offers an infinite number of results.
TRS2 => '(() (()) ((_0)) (() ()) ((_0 _1))) , because now the second clause of conde in listo can get tried. listo and lolo being defined by defrel means that they will potentially create suspensions. When append-inf these two suspensions, each takes a step and then yield control to the other.
TRS1* => '(() (()) ((_.0)) (() ()) ((_.0 _.1)), is the same as TRS2, except that suspensions are created by conde.
Note that replacing conde with condi in TRS1 will not change the result. If you want to get the same result as TRS2 or TRS1*, wrap alli at the second clause of conde.
3rd experiment
Note that as #WillNess said in his comment of the question:
BTW I didn't know you could write (define (tmp-rel-2 y) (== 'd y) (tmp-rel-2 y)) like that, without any special minikanren form enclosing the two goals...
Yes, the 3rd experiment about TRS1 and TRS1* has a mistake:
(define (tmp-rel-2 y) ; <--- wrong relation definition!
(== 'd y)
(tmp-rel-2 y))
Unlike TRS2, TRS1 and TRS1* have no build-in defrel, so the define form is from Scheme, not minikaren.
We should use a special minikanren form enclosing the two goals.
Therefore,
For TRS1, we should change the definition to
(define (tmp-rel-2 y)
(all (== 'd y)
(tmp-rel-2 y)))
For TRS1*, there is no all constructor, but we can use (fresh (x) ...) to work around it
(define (tmp-rel-2 y)
(fresh (x)
(== 'd y)
(tmp-rel-2 y)))
I made this mistake because I was not familiar with minikanren before.
However, this mistake won't affect the final result, and the explanation below for TRS1 and TRS1* are suitable for both the wrong definition and the correct definition.
TRS1 => '((a c)), because conde in TRS1 is DFS. The tmp-rel diverges at tmp-rel-2.
Note that replacing conde with condi and (run 2 ...), we will get '((a c) (b e)). This because condi can interleave. However, it still cannot print the third solution (b f) because condi can’t work well with divergence.
TRS2 => '((b e) (b f) (a c)) , because TRS2 can archive complete search if we use defrel to define relation.
Note that the final result is '((b e) (b f) (a c)) instead of '((a c) (b e) (b f)) because in TRS2, a suspension only initially be created by defrel. If we expect '((a c) (b e) (b f)), we can wrap the suspension manually:
(define-syntax Zzz
(syntax-rules ()
[(_ g) (λ (s) (λ () (g s)))]))
(run 3 r
(fresh (x y)
(conde
((== 'a x) (tmp-rel y))
((== 'b x) (Zzz (conde ; wrap a suspension by Zzz
((== 'e y) )
((== 'f y))))))
(== `(,x ,y) r)))
;; => '((a c) (b e) (b f))
TRS1* => '((a c) (b e)), because in TRS1*, suspensions be wrapped at condes .
Note that it still cannot print the third solution (b f) because tmp-rel-2 does not be wrapped in conde, so no suspension is created here. If we expect '((a c) (b e) (b f)), we can wrap the suspension manually:
(define (tmp-rel-2 y)
(conde ((== 'd y) (tmp-rel-2 y)))) ; wrap a suspension by conde
4. Conclusion
All in all, minikanren is not one language but families of languages. Each minikanren implementation may have its own hack. There may be some corner cases which have slightly different behaviors in different implementations. Fortunately, minikanren is easy to understand. When encountering these corner cases, we can solve them by reading the source code.
5. References
The Reasoned Schemer, First Edition (MIT Press, 2005)
From Variadic Functions to Variadic Relations - A miniKanren Perspective
The Reasoned Schemer, Second Edition (MIT Press, 2018)
µKanren: A Minimal Functional Core for Relational Programming
Backtracking, Interleaving, and Terminating Monad Transformers

Related

Currying a sum of squares function in Scheme

I am trying to curry a functions of 4 arguments in Scheme. This is what I have for my curry function. The output should be 30. Please help me with my curry4 function.
(define sum-of-squares
(lambda (a b c d)
(+ (* a a) (* b b) (* c c) (* d d))))
(define curry4
(lambda (a b c d)
(apply sum-of-squares (a (b (c (d)))))))
(((((curry4 sum-of-squares) 1) 2) 3) 4)
Here's something you can try:
(define (((((curry-4 func) a) b) c) d)
(func a b c d))
Note that this is special syntax for expanding it out like:
(define (curry-4 func)
(λ (a)
(λ (b)
(λ (c)
(λ (d) (func a b c d))))))
What we're doing here is returning a lambda that returns a lambda that ... returns a lambda that returns the result of applying func. Essentially, we're taking one argument at a time, and once we have all of them, we can give back the final value. Until then, we give back a function that's still waiting for the rest of the arguments.
In Racket just use curry. You can check definining file in DrRacket.
#lang racket
(define (f n1 n2 n3 n4)
(apply +
(map (λ (x) (expt x 2))
(list n1 n2 n3 n4))))
(((((curry f) 1) 2) 3) 4)
Currying by hand.
#lang racket
(define curry-by-hand-f
(lambda (x1)
(lambda (x2)
(lambda (x3)
(lambda (x4)
(f x1 x2 x3 x4))))))
((((curry-by-hand-f 1) 2) 3) 4)

cons* in scheme - how to implement

I tried to implement the cons* (https://scheme.com/tspl4/objects.html#./objects:s44).
Examples:
(cons* '()) -> ()
(cons* '(a b)) -> (a b)
(cons* 'a 'b 'c) -> (a b . c)
(cons* 'a 'b '(c d)) -> (a b c d)
this is what I did do far but I don't know how to replace the ?? to make the third example (the dot notion) work
(define cons*
(lambda x
(if
(null? x)
x
(if (list? (car (reverse x)))
(fold-right cons (car (reverse x)) (reverse (cdr (reverse x))))
???
)
)
)
)
Here's a lo-fi way using lambda -
(define cons*
(lambda l
(cond ((null? l) null)
((null? (cdr l)) (car l))
(else (cons (car l) (apply cons* (cdr l)))))))
Here's a way you can do it using match (Racket)
(define (cons* . l)
(match l
((list) null) ; empty list
((list a) a) ; singleton list
((list a b ...) (cons a (apply cons* b))))) ; two or elements
Often times patterns and order can be rearranged and still produce correct programs. It all depends on how you're thinking about the problem -
(define (cons* . l)
(match l
((list a) a) ; one element
((list a b) (cons a b)) ; two elements
((list a b ...) (cons a (apply cons* b))))) ; more
Or sugar it up with define/match -
(define/match (cons* . l)
[((list)) null]
[((list a)) a]
[((list a b ...)) (cons a (apply cons* b))])
All four variants produce the expected output -
(cons* '())
(cons* '(a b))
(cons* 'a 'b 'c)
(cons* 'a 'b '(c d))
'()
'(a b)
'(a b . c)
'(a b c d)
Personally, I'd use a macro instead of a function to transform a cons* into a series of cons calls:
(define-syntax cons*
(syntax-rules ()
((_ arg) arg)
((_ arg1 rest ...) (cons arg1 (cons* rest ...)))))
(define (writeln x)
(write x)
(newline))
(writeln (cons* '())) ;; -> '()
(writeln (cons* '(a b))) ;; -> '(a b)
(writeln (cons* 'a 'b 'c)) ;; -> (cons 'a (cons 'b 'c)) -> '(a b . c)
(writeln (cons* 'a 'b '(c d))) ;; -> (cons 'a (cons 'b '(c d))) -> '(a b c d)
A Simple Procedure
I think that you are making this more complicated than it needs to be. It seems best not to use lambda x here, since that would allow calls like (cons*) with no arguments. Instead, I would use (x . xs), and I would even just use the define syntax:
(define (cons* x . xs)
(if (null? xs)
x
(cons x (apply cons*
(car xs)
(cdr xs)))))
If there is only one argument to cons*, then xs is empty, i.e., (null? xs) is true, and that single argument x should be returned. Otherwise you should cons the first argument to the result of calling cons* again, with the first element of xs as the first argument, followed by the remaining arguments from xs. The trick here is that (cdr xs) returns a list, which will itself be put into a list thanks to the (x . xs) syntax. This is the reason for using apply, which will apply cons* to the arguments in the list.
This works for all of the test cases:
> (cons* '())
()
> (cons* '(a b))
(a b)
> (cons* 'a 'b 'c)
(a b . c)
> (cons* 'a 'b '(c d))
(a b c d)
Using Mutation
Taking a closer look at what a proper list really is suggests another approach to solving the problem. Consider a list like (a b c d). This is really a chain of cons cells that look like this:
(a . (b . (c . (d . ()))))
We would like to transform this list to an improper, or dotted, list:
(a . (b . (c . (d . ())))) --> (a . (b . (c . d)))
This transformed list is equivalent to (abc.d), which is what we would like the call to (cons* 'a 'b 'c 'd) to return.
We could mutate the proper list to an improper list by setting the cdr of the next-to-last pair to the car of the last pair; that is, by setting the cdr of (c . (d .()) to d. We can use the list-tail procedure to get at the next-to-last pair, list-ref to get at the car of the last pair, and set-cdr! to set the cdr of the next-to-last pair to the new value. After this, the list is no longer terminated by an empty list (unless the car of the final pair is itself an empty list!).
Here is a procedure proper->improper! that mutates a proper list to an improper list. Note that the input must be a proper list to avoid an error. If the input list contains only a single element, then that element is simply returned and no mutation takes place.
(define (proper->improper! xs)
(cond ((null? (cdr xs))
(car xs))
(else
(set-cdr! (list-tail xs (- (length xs) 2))
(list-ref xs (- (length xs) 1)))
xs)))
Now cons* can be defined simply in terms of proper->improper!:
(define (cons* . xs)
(proper->improper! xs))
Here, the arguments to cons* are packed up into a fresh list and passed to proper->improper! which effectively removes the terminal empty list from its input, returning a chain of pairs whose last cdr is the last argument to cons*; or if only one argument is provided, that argument is returned. This works just like the other solution:
> (cons* '())
()
> (cons* 'a)
a
> (cons* 'a 'b 'c 'd)
(a b c . d)
> (cons* 'a 'b '(c d))
(a b c d)
Real Life
In real life, at least in Chez Scheme, cons* is not implemented like any of these solutions, or even in Scheme at all. Instead Chez opted to make cons* a primitive procedure, implemented in C (I believe).

Do the continuation created by `call/cc` and the continuation used for making a call to a function in CPS both make jump?

When a continuation is called as a procedure, does some jump occur?
For example, I have seen two use cases of continuation:
Are the continuation created by call/cc and the continuation used
for making a call to a function in CPS the same concept, and do both involve jump?
When a continuation captured by a call/cc call is called, the
program execution flow will jump to the call/cc call.
When a function in CPS is called with a continuation, does similar
jump also occur? (I am not sure)
For example,
(letrec ([f (lambda (x) (cons 'a x))]
[g (lambda (x) (cons 'b (f x)))]
[h (lambda (x) (g (cons 'c x)))])
(cons 'd (h '()))) (d b a c)
can be written in CPS as
(letrec ([f (lambda (x k) (k (cons 'a x)))]
[g (lambda (x k)
(f x (lambda (v) (k (cons 'b v)))))]
[h (lambda (x k) (g (cons 'c x) k))])
(h '() (lambda (v) (cons 'd v))))
(lambda (v) (cons 'd v)) is a continuation passed to h, then to
g and f, before it is eventually called. But when it is called,
is there any jump also occurring?

Apply procedure on previous result

Given a list of lists as an input, I want to execute a procedure such that the final result would be:
(define (thing . lists) ; list of lists (l1 l2 ... lN)
;returns ...f(f(f(l1 l2) l3) lN)...
)
So for example:
(thing '(a b) '(c d) '(e f))
...would result in f(f((a b) (c d)) (e f))
I am fighting with folding, lambda, apply and map, but I can't figure out right way.
Assuming that the input has at least two lists and that f was previously defined:
(define (thing . lists)
(foldr (lambda (lst acc)
(f acc lst))
(f (car lists) (cadr lists))
(cddr lists)))
For example:
(define f append)
(thing '(a b) '(c d) '(e f))
=> '(a b c d e f)

Path or route function from HTDP not working

Following code from http://htdp.org/2003-09-26/Book/curriculum-Z-H-38.html#node_chap_30 does'nt seem to be working (I have added println statements for debugging)
(define (neighbor a-node sg)
(println "in neighbor fn")
(cond
[(empty? sg) (error "neighbor: impossible")]
[else (cond
[(symbol=? (first (first sg)) a-node)
(second (first sg))]
[else (neighbor a-node (rest sg))])]))
(define (route-exists? orig dest sg)
(println "in route-exits? fn")
(cond
[(symbol=? orig dest) true]
[else (route-exists? (neighbor orig sg) dest sg)]))
I also tried the second version (I have added contains fn):
(define (contains item sl)
(ormap (lambda (x) (equal? item x)) sl) )
(define (route-exists2? orig dest sg)
(local ((define (re-accu? orig dest sg accu-seen)
(cond
[(symbol=? orig dest) true]
[(contains orig accu-seen) false]
[else (re-accu? (neighbor orig sg) dest sg (cons orig accu-seen))])))
(re-accu? orig dest sg empty)))
Following example from that page itself creates infinite loop:
(route-exists? 'C 'D '((A B) (B C) (C E) (D E) (E B) (F F)))
Following produces #f even though solution is clearly possible:
(route-exists2? 'C 'D '((A B) (B C) (C E) (D E) (E B) (F F)))
Following tests (lists are mine) produce errors here also even though solution is clearly possible:
(route-exists?
'A 'C
'('('A 'B) '('B 'C) '('A 'C) '('A 'D) '('B 'E) '('E 'F) '('B 'F) '('F 'G) )
)
(route-exists2?
'A 'C
'('('A 'B) '('B 'C) '('A 'C) '('A 'D) '('B 'E) '('E 'F) '('B 'F) '('F 'G) )
)
Where is the problem and how can this be solved?
Edit:
Even after choosing the new function and remove excess quotes, following does not work (even though there is a direct path between A and D):
(route-exists2?
'A 'D
'((A B) (B C) (A C) (A D) (B E) (E F) (B F) (F G) ) )
It outputs an error:
neighbor: impossible
For the first case:
Following example from that page itself creates infinite loop:
(route-exists? 'C 'D '((A B) (B C) (C E) (D E) (E B) (F F)))
In the page you linked, ten lines after the definition of the function, it is clearly said:
The hand-evaluation confirms that as the function recurs, it calls itself with the exact same arguments again and again. In other words, the evaluation never stops.
So, it is exactly the behaviour that you have observed.
For the second case:
Following produces #f even though solution is clearly possible:
(route-exists2? 'C 'D '((A B) (B C) (C E) (D E) (E B) (F F)))
Four lines after the definition of the first function, it is clearly said:
Take another look at figure 85. In this simple graph there is no route from C to D.
So, the function must return correctly #f, as it does, since there is no route from C to D (remember that the arcs are oriented, in fact, before the example, it is clearly said: “... each node has exactly one (one-directional) connection to another node”).
Finally, in your last two examples:
Following tests (lists are mine) produce errors here also even though solution is clearly possible:
(route-exists?
'A 'C
'('('A 'B) '('B 'C) '('A 'C) '('A 'D) '('B 'E) '('E 'F) '('B 'F) '('F 'G) )
)
(route-exists2?
'A 'C
'('('A 'B) '('B 'C) '('A 'C) '('A 'D) '('B 'E) '('E 'F) '('B 'F) '('F 'G) )
)
Your are quoting too much, so that you are giving to the function a data which is different from what is required.
Remember that 'X is an abbreviation for (quote X). This means that your last parameter is not a correct graph, since it is equal to:
((quote (quote A) (quote B)) (quote (quote B) (quote C)) ...)
and not to
((A B) (B C) ...)
Added
This is the answer to the last question:
Even after choosing the new function and remove excess quotes, following does not work (even though there is a direct path between A and D):
(route-exists2?
'A 'D
'((A B) (B C) (A C) (A D) (B E) (E F) (B F) (F G) ) )
It outputs an error:
neighbor: impossible
In the page that you linked, in the first paragraph of section “A Problem with Generative Recursion", it is clearly said:
Here we study the slightly simpler version of the problem of simple graphs where each node has exactly one (one-directional) connection to another node.
Since your graph has more than one connection from a node (for instance A is connected to B, C, and D, etc.), in this case the program does not work.
You can see immediately the reason if you consider the function neighbor: it finds the first node connected to a certain node, without considering all the other nodes. So, for instance, from A the only neighbor returned is B, which is not connect directly or indirectly to D, and so the function route-exists2? replies (correctly, according to the specification) that there is no such route.

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