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问题:
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How to write in a standard conforming manner avs_term_rearranged(AVs, T, AVsR)
with given AVs
and T
such that AVsR
is a permutation of AVs
with the elements arranged in same order as their variables occur in left-to-right order in T
.
AVs
is a list of elements of the form A = V
where A
is an atom designating a variable name like 'X'
and V
is a corresponding variable. Such lists are produced by read_term/2,3
with the read-option variable_names/1
(7.10.3). Additionally, the precise order of elements is not defined.
| ?- read_term(T,[variable_names(AVs)]).
A+B+A+_+C.
AVs = ['A'=A,'B'=B,'C'=C]
T = A+B+A+_+C
T
is a term that contains all variables of AVs
plus some more.
Note that in a standard conforming program one cannot rely on the term order for variables (7.2.1):
7.2.1 Variable
If X
and Y
are variables which are not identical then X
term_precedes Y
shall be implementation dependent except that during the creation of a sorted list (7.1.6.5,
8.10.3.1 j) the ordering shall remain constant.
NOTE — If X
and Y
are both anonymous variables then they are not identical terms
(see 6.1.2 a).
Consider as an example from 8.4.3.4:
sort([f(U),U,U,f(V),f(U),V],L).
Succeeds, unifying L with [U,V,f(U),f(V)] or
[V,U,f(V),f(U)].
[The solution is implementation dependent.]
So there are two possible ways how sort/2
will work, and one cannot even rely on the success of:
sort([f(U),U,U,f(V),f(U),V],L), sort(L, K), L == K.
As an example:
?- avs_term_rearranged(['A'=A,'B'=B,'C'=C], A+C+F+B, AVsR).
AVsR = ['A'=A,'C'=C,'B'=B].
回答1:
avs_term_rearranged(AVs, T, AVsR) :-
term_variables(T, Vs),
copy_term(Vs+AVs, Vs1+AVs1),
bind_names(AVs1),
build_vn_list(Vs, Vs1, AVsR).
bind_names([]).
bind_names([N=V|AVs]) :-
N = V,
bind_names(AVs).
build_vn_list([], [], []).
build_vn_list([V|Vs],[N|Ns],NVs) :-
( atom(N) ->
NVs = [N=V|NVs1]
; var(N) ->
NVs = NVs1
),
build_vn_list(Vs, Ns, NVs1).
回答2:
Use term_variables/2
on T
to obtain a list Xs
with variables in the desired order. Then build a list with the elements of AVs
, but in that order.
avs_term_rearranged(AVs, T, AVRs) :-
term_variables(T, Xs),
pick_in_order(AVs, Xs, AVRs).
pick_in_order([], [], []).
pick_in_order(AVs, [X|Xs], AVRs) :-
( pick(AVs, X, AV, AVs1) ->
AVRs = [AV|AVRs1],
pick_in_order(AVs1, Xs, AVRs1)
;
pick_in_order(AVs, Xs, AVRs)
).
pick([AV|AVs], X, AX, DAVs) :-
(_=V) = AV,
( V==X ->
AX = AV,
DAVs = AVs
;
DAVs = [AV|DAVs1],
pick(AVs, X, AX, DAVs1)
).
Notes:
- this is quadratic because
pick/4
is linear
term_variables/2
is not strictly necessary, you could traverse T
directly
回答3:
My previous answer had quadratic runtime complexity. If that's a problem, here is a linear alternative. The reason this is a bit tricky is that unbound variables cannot be used as keys for hashing etc.
As before, we basically rearrange the list AVs
such that its elements have the same order as the variables in the list Xs
(obtained from term_variables/2
). The new idea here is to first compute a (ground) description of the required permutation (APs
), and then construct the permutation of AV
using this description.
avs_term_rearranged(AVs, T, AVRs) :-
term_variables(T, Xs),
copy_term(AVs-Xs, APs-Ps),
ints(Ps, 0, N),
functor(Array, a, N),
distribute(AVs, APs, Array),
gather(1, N, Array, AVRs).
ints([], N, N).
ints([I|Is], I0, N) :- I is I0+1, ints(Is, I, N).
distribute([], [], _).
distribute([AV|AVs], [_=P|APs], Array) :-
nonvar(P),
arg(P, Array, AV),
distribute(AVs, APs, Array).
gather(I, N, Array, AVRs) :-
( I > N ->
AVRs = []
;
arg(I, Array, AV),
I1 is I+1,
( var(AV) -> AVRs=AVRs1 ; AVRs = [AV|AVRs1] ),
gather(I1, N, Array, AVRs1)
).
回答4:
This version is very short, using
member/2
(from the Prolog prologue) for the search. It has very low auxiliary
memory consumption. Only the list AVsR
is created. No temporary
heap-terms are created (on current implementations). It has quadratic
overhead in the length of AVs
, though.
avs_term_rearranged(AVs, T, AVsR) :-
term_variables(T, Vs),
rearrange(Vs, AVs, AVsR).
rearrange([], _, []).
rearrange([V|Vs], AVs, AVsR0) :-
( member(AV, AVs),
AV = (_=Var), V == Var ->
AVsR0 = [AV|AVsR]
; AVsR0 = AVsR
),
rearrange(Vs, AVs, AVsR).
Another aspect is that the member(AV, AVs)
goal is inherently
non-deterministic, even if only relatively shallow non-determinism is
involved, whereas @jschimpf's (first) version does create a choice
point only for the (;)/2
of the if-then-else-implementation.
Both versions do not leave any choice points behind.
Here is a version more faithfully simulating @jschimpf's idea. This,
however, now creates auxiliary terms that are left on the heap.
rearrange_js([], _, []).
rearrange_js([V|Vs], AVs0, AVsR0) :-
( select(AV, AVs0, AVs),
AV = (_=Var), V == Var ->
AVsR0 = [AV|AVsR]
; AVsR0 = AVsR,
AVs0 = AVs
),
rearrange_js(Vs, AVs, AVsR).