The remaining set-theoretic functions provide bulk operations: INTERSECTION
, UNION
, SET-DIFFERENCE
, and SET-EXCLUSIVE- OR
. Each of these functions takes two lists and :key
and :test
keyword arguments and returns a new list representing the set resulting from performing the appropriate set- theoretic operation on the two lists: INTERSECTION
returns a list containing all the elements found in both arguments. UNION
returns a list containing one instance of each unique element from the two arguments.[147] SET-DIFFERENCE
returns a list containing all the elements from the first argument that don't appear in the second argument. And SET-EXCLUSIVE-OR
returns a list containing those elements appearing in only one or the other of the two argument lists but not in both. Each of these functions also has a recycling counterpart whose name is the same except with an
Finally, the function SUBSETP
takes two lists and the usual :key
and :test
keyword arguments and returns true if the first list is a subset of the second—if every element in the first list is also present in the second list. The order of the elements in the lists doesn't matter.
CL-USER> (subsetp '(3 2 1) '(1 2 3 4))
T
CL-USER> (subsetp '(1 2 3 4) '(3 2 1))
NIL
In addition to trees and sets, you can build tables that map keys to values out of cons cells. Two flavors of cons-based lookup tables are commonly used, both of which I've mentioned in passing in previous chapters. They're
An alist is a data structure that maps keys to values and also supports reverse lookups, finding the key when given a value. Alists also support adding key/value mappings that shadow existing mappings in such a way that the shadowing mapping can later be removed and the original mappings exposed again.
Under the covers, an alist is essentially a list whose elements are themselves cons cells. Each element can be thought of as a key/value pair with the key in the cons cell's CAR
and the value in the CDR
. For instance, the following is a box-and-arrow diagram of an alist mapping the symbol A
to the number 1, B
to 2, and C
to 3:
Unless the value in the CDR
is a list, cons cells representing the key/value pairs will be
((A . 1) (B . 2) (C . 3))
The main lookup function for alists is ASSOC
, which takes a key and an alist and returns the first cons cell whose CAR
matches the key or NIL
if no match is found.
CL-USER> (assoc 'a '((a . 1) (b . 2) (c . 3)))
(A . 1)
CL-USER> (assoc 'c '((a . 1) (b . 2) (c . 3)))
(C . 3)
CL-USER> (assoc 'd '((a . 1) (b . 2) (c . 3)))
NIL
To get the value corresponding to a given key, you simply pass the result of ASSOC
to CDR
.
CL-USER> (cdr (assoc 'a '((a . 1) (b . 2) (c . 3))))
1
By default the key given is compared to the keys in the alist using EQL
, but you can change that with the standard combination of :key
and :test
keyword arguments. For instance, if you wanted to use string keys, you might write this:
CL-USER> (assoc 'a' '(('a' . 1) ('b' . 2) ('c' . 3)) :test #'string=)
('a' . 1)
Without specifying :test
to be STRING=
, that ASSOC
would probably return NIL
because two strings with the same contents aren't necessarily EQL
.
CL-USER> (assoc 'a' '(('a' . 1) ('b' . 2) ('c' . 3)))
NIL
Because ASSOC
searches the list by scanning from the front of the list, one key/value pair in an alist can shadow other pairs with the same key later in the list.
CL-USER> (assoc 'a '((a . 10) (a . 1) (b . 2) (c . 3)))
(A . 10)
You can add a pair to the front of an alist with CONS
like this:
(cons (cons 'new-key 'new-value) alist)
However, as a convenience, Common Lisp provides the function ACONS
, which lets you write this:
(acons 'new-key 'new-value alist)
Like CONS
, ACONS
is a function and thus can't modify the place holding the alist it's passed. If you want to modify an alist, you need to write either this:
(setf alist (acons 'new-key 'new-value alist))
or this:
(push (cons 'new-key 'new-value) alist)
Obviously, the time it takes to search an alist with ASSOC
is a function of how deep in the list the matching pair is found. In the worst case, determining that no pair matches requires ASSOC
to scan every element of the alist. However, since the basic mechanism for alists is so lightweight, for small tables an alist can outperform a hash table. Also, alists give you more flexibility in how you do the lookup. I already mentioned that ASSOC
takes :key
and :test
keyword arguments. When those don't suit your needs, you may be able to use the ASSOC-IF
and ASSOC-IF- NOT
functions, which return the first key/value pair whose CAR
satisfies (or not, in the case of ASSOC-IF- NOT
) the test function passed in the place of a specific item. And three functions— RASSOC
, RASSOC-IF
, and RASSOC-IF-NOT
—work just like the corresponding ASSOC
functions except they use the value in the CDR
of each element as the key, performing a reverse lookup.
The function COPY-ALIST
is similar to COPY- TREE
except, instead of copying the whole tree structure, it copies only the cons cells that make