2 @c This is part of the GNU Emacs Lisp Reference Manual.
3 @c Copyright (C) 1990, 1991, 1992, 1993, 1994, 1995, 1998, 1999, 2002, 2003,
4 @c 2004, 2005, 2006 Free Software Foundation, Inc.
5 @c See the file elisp.texi for copying conditions.
6 @setfilename ../info/lists
7 @node Lists, Sequences Arrays Vectors, Strings and Characters, Top
10 @cindex element (of list)
12 A @dfn{list} represents a sequence of zero or more elements (which may
13 be any Lisp objects). The important difference between lists and
14 vectors is that two or more lists can share part of their structure; in
15 addition, you can insert or delete elements in a list without copying
19 * Cons Cells:: How lists are made out of cons cells.
20 * List-related Predicates:: Is this object a list? Comparing two lists.
21 * List Elements:: Extracting the pieces of a list.
22 * Building Lists:: Creating list structure.
23 * Modifying Lists:: Storing new pieces into an existing list.
24 * Sets And Lists:: A list can represent a finite mathematical set.
25 * Association Lists:: A list can represent a finite relation or mapping.
26 * Rings:: Managing a fixed-size ring of objects.
30 @section Lists and Cons Cells
31 @cindex lists and cons cells
32 @cindex @code{nil} and lists
34 Lists in Lisp are not a primitive data type; they are built up from
35 @dfn{cons cells}. A cons cell is a data object that represents an
36 ordered pair. That is, it has two slots, and each slot @dfn{holds}, or
37 @dfn{refers to}, some Lisp object. One slot is known as the @sc{car},
38 and the other is known as the @sc{cdr}. (These names are traditional;
39 see @ref{Cons Cell Type}.) @sc{cdr} is pronounced ``could-er.''
41 We say that ``the @sc{car} of this cons cell is'' whatever object
42 its @sc{car} slot currently holds, and likewise for the @sc{cdr}.
44 A list is a series of cons cells ``chained together,'' so that each
45 cell refers to the next one. There is one cons cell for each element of
46 the list. By convention, the @sc{car}s of the cons cells hold the
47 elements of the list, and the @sc{cdr}s are used to chain the list: the
48 @sc{cdr} slot of each cons cell refers to the following cons cell. The
49 @sc{cdr} of the last cons cell is @code{nil}. This asymmetry between
50 the @sc{car} and the @sc{cdr} is entirely a matter of convention; at the
51 level of cons cells, the @sc{car} and @sc{cdr} slots have the same
55 Since @code{nil} is the conventional value to put in the @sc{cdr} of
56 the last cons cell in the list, we call that case a @dfn{true list}.
58 In Lisp, we consider the symbol @code{nil} a list as well as a
59 symbol; it is the list with no elements. For convenience, the symbol
60 @code{nil} is considered to have @code{nil} as its @sc{cdr} (and also
61 as its @sc{car}). Therefore, the @sc{cdr} of a true list is always a
66 If the @sc{cdr} of a list's last cons cell is some other value,
67 neither @code{nil} nor another cons cell, we call the structure a
68 @dfn{dotted list}, since its printed representation would use
69 @samp{.}. There is one other possibility: some cons cell's @sc{cdr}
70 could point to one of the previous cons cells in the list. We call
71 that structure a @dfn{circular list}.
73 For some purposes, it does not matter whether a list is true,
74 circular or dotted. If the program doesn't look far enough down the
75 list to see the @sc{cdr} of the final cons cell, it won't care.
76 However, some functions that operate on lists demand true lists and
77 signal errors if given a dotted list. Most functions that try to find
78 the end of a list enter infinite loops if given a circular list.
80 @cindex list structure
81 Because most cons cells are used as part of lists, the phrase
82 @dfn{list structure} has come to mean any structure made out of cons
85 The @sc{cdr} of any nonempty true list @var{l} is a list containing all the
86 elements of @var{l} except the first.
88 @xref{Cons Cell Type}, for the read and print syntax of cons cells and
89 lists, and for ``box and arrow'' illustrations of lists.
91 @node List-related Predicates
92 @section Predicates on Lists
94 The following predicates test whether a Lisp object is an atom,
95 whether it is a cons cell or is a list, or whether it is the
96 distinguished object @code{nil}. (Many of these predicates can be
97 defined in terms of the others, but they are used so often that it is
98 worth having all of them.)
101 This function returns @code{t} if @var{object} is a cons cell, @code{nil}
102 otherwise. @code{nil} is not a cons cell, although it @emph{is} a list.
107 This function returns @code{t} if @var{object} is an atom, @code{nil}
108 otherwise. All objects except cons cells are atoms. The symbol
109 @code{nil} is an atom and is also a list; it is the only Lisp object
113 (atom @var{object}) @equiv{} (not (consp @var{object}))
118 This function returns @code{t} if @var{object} is a cons cell or
119 @code{nil}. Otherwise, it returns @code{nil}.
134 This function is the opposite of @code{listp}: it returns @code{t} if
135 @var{object} is not a list. Otherwise, it returns @code{nil}.
138 (listp @var{object}) @equiv{} (not (nlistp @var{object}))
143 This function returns @code{t} if @var{object} is @code{nil}, and
144 returns @code{nil} otherwise. This function is identical to @code{not},
145 but as a matter of clarity we use @code{null} when @var{object} is
146 considered a list and @code{not} when it is considered a truth value
147 (see @code{not} in @ref{Combining Conditions}).
164 @section Accessing Elements of Lists
165 @cindex list elements
168 This function returns the value referred to by the first slot of the
169 cons cell @var{cons-cell}. Expressed another way, this function
170 returns the @sc{car} of @var{cons-cell}.
172 As a special case, if @var{cons-cell} is @code{nil}, then @code{car}
173 is defined to return @code{nil}; therefore, any list is a valid argument
174 for @code{car}. An error is signaled if the argument is not a cons cell
190 This function returns the value referred to by the second slot of
191 the cons cell @var{cons-cell}. Expressed another way, this function
192 returns the @sc{cdr} of @var{cons-cell}.
194 As a special case, if @var{cons-cell} is @code{nil}, then @code{cdr}
195 is defined to return @code{nil}; therefore, any list is a valid argument
196 for @code{cdr}. An error is signaled if the argument is not a cons cell
211 @defun car-safe object
212 This function lets you take the @sc{car} of a cons cell while avoiding
213 errors for other data types. It returns the @sc{car} of @var{object} if
214 @var{object} is a cons cell, @code{nil} otherwise. This is in contrast
215 to @code{car}, which signals an error if @var{object} is not a list.
219 (car-safe @var{object})
221 (let ((x @var{object}))
229 @defun cdr-safe object
230 This function lets you take the @sc{cdr} of a cons cell while
231 avoiding errors for other data types. It returns the @sc{cdr} of
232 @var{object} if @var{object} is a cons cell, @code{nil} otherwise.
233 This is in contrast to @code{cdr}, which signals an error if
234 @var{object} is not a list.
238 (cdr-safe @var{object})
240 (let ((x @var{object}))
250 This macro is a way of examining the @sc{car} of a list,
251 and taking it off the list, all at once.
253 It operates on the list which is stored in the symbol @var{listname}.
254 It removes this element from the list by setting @var{listname}
255 to the @sc{cdr} of its old value---but it also returns the @sc{car}
256 of that list, which is the element being removed.
269 @anchor{Definition of nth}
270 This function returns the @var{n}th element of @var{list}. Elements
271 are numbered starting with zero, so the @sc{car} of @var{list} is
272 element number zero. If the length of @var{list} is @var{n} or less,
273 the value is @code{nil}.
275 If @var{n} is negative, @code{nth} returns the first element of
291 (nth n x) @equiv{} (car (nthcdr n x))
295 The function @code{elt} is similar, but applies to any kind of sequence.
296 For historical reasons, it takes its arguments in the opposite order.
297 @xref{Sequence Functions}.
301 This function returns the @var{n}th @sc{cdr} of @var{list}. In other
302 words, it skips past the first @var{n} links of @var{list} and returns
305 If @var{n} is zero or negative, @code{nthcdr} returns all of
306 @var{list}. If the length of @var{list} is @var{n} or less,
307 @code{nthcdr} returns @code{nil}.
311 (nthcdr 1 '(1 2 3 4))
315 (nthcdr 10 '(1 2 3 4))
319 (nthcdr -3 '(1 2 3 4))
325 @defun last list &optional n
326 This function returns the last link of @var{list}. The @code{car} of
327 this link is the list's last element. If @var{list} is null,
328 @code{nil} is returned. If @var{n} is non-@code{nil}, the
329 @var{n}th-to-last link is returned instead, or the whole of @var{list}
330 if @var{n} is bigger than @var{list}'s length.
333 @defun safe-length list
334 @anchor{Definition of safe-length}
335 This function returns the length of @var{list}, with no risk of either
336 an error or an infinite loop. It generally returns the number of
337 distinct cons cells in the list. However, for circular lists,
338 the value is just an upper bound; it is often too large.
340 If @var{list} is not @code{nil} or a cons cell, @code{safe-length}
344 The most common way to compute the length of a list, when you are not
345 worried that it may be circular, is with @code{length}. @xref{Sequence
348 @defun caar cons-cell
349 This is the same as @code{(car (car @var{cons-cell}))}.
352 @defun cadr cons-cell
353 This is the same as @code{(car (cdr @var{cons-cell}))}
354 or @code{(nth 1 @var{cons-cell})}.
357 @defun cdar cons-cell
358 This is the same as @code{(cdr (car @var{cons-cell}))}.
361 @defun cddr cons-cell
362 This is the same as @code{(cdr (cdr @var{cons-cell}))}
363 or @code{(nthcdr 2 @var{cons-cell})}.
366 @defun butlast x &optional n
367 This function returns the list @var{x} with the last element,
368 or the last @var{n} elements, removed. If @var{n} is greater
369 than zero it makes a copy of the list so as not to damage the
370 original list. In general, @code{(append (butlast @var{x} @var{n})
371 (last @var{x} @var{n}))} will return a list equal to @var{x}.
374 @defun nbutlast x &optional n
375 This is a version of @code{butlast} that works by destructively
376 modifying the @code{cdr} of the appropriate element, rather than
377 making a copy of the list.
381 @comment node-name, next, previous, up
382 @section Building Cons Cells and Lists
384 @cindex building lists
386 Many functions build lists, as lists reside at the very heart of Lisp.
387 @code{cons} is the fundamental list-building function; however, it is
388 interesting to note that @code{list} is used more times in the source
389 code for Emacs than @code{cons}.
391 @defun cons object1 object2
392 This function is the most basic function for building new list
393 structure. It creates a new cons cell, making @var{object1} the
394 @sc{car}, and @var{object2} the @sc{cdr}. It then returns the new
395 cons cell. The arguments @var{object1} and @var{object2} may be any
396 Lisp objects, but most often @var{object2} is a list.
414 @code{cons} is often used to add a single element to the front of a
415 list. This is called @dfn{consing the element onto the list}.
416 @footnote{There is no strictly equivalent way to add an element to
417 the end of a list. You can use @code{(append @var{listname} (list
418 @var{newelt}))}, which creates a whole new list by copying @var{listname}
419 and adding @var{newelt} to its end. Or you can use @code{(nconc
420 @var{listname} (list @var{newelt}))}, which modifies @var{listname}
421 by following all the @sc{cdr}s and then replacing the terminating
422 @code{nil}. Compare this to adding an element to the beginning of a
423 list with @code{cons}, which neither copies nor modifies the list.}
427 (setq list (cons newelt list))
430 Note that there is no conflict between the variable named @code{list}
431 used in this example and the function named @code{list} described below;
432 any symbol can serve both purposes.
436 @defmac push newelt listname
437 This macro provides an alternative way to write
438 @code{(setq @var{listname} (cons @var{newelt} @var{listname}))}.
450 @defun list &rest objects
451 This function creates a list with @var{objects} as its elements. The
452 resulting list is always @code{nil}-terminated. If no @var{objects}
453 are given, the empty list is returned.
458 @result{} (1 2 3 4 5)
461 (list 1 2 '(3 4 5) 'foo)
462 @result{} (1 2 (3 4 5) foo)
471 @defun make-list length object
472 This function creates a list of @var{length} elements, in which each
473 element is @var{object}. Compare @code{make-list} with
474 @code{make-string} (@pxref{Creating Strings}).
479 @result{} (pigs pigs pigs)
486 (setq l (make-list 3 '(a b))
487 @result{} ((a b) (a b) (a b))
488 (eq (car l) (cadr l))
494 @defun append &rest sequences
495 @cindex copying lists
496 This function returns a list containing all the elements of
497 @var{sequences}. The @var{sequences} may be lists, vectors,
498 bool-vectors, or strings, but the last one should usually be a list.
499 All arguments except the last one are copied, so none of the arguments
500 is altered. (See @code{nconc} in @ref{Rearrangement}, for a way to join
501 lists with no copying.)
503 More generally, the final argument to @code{append} may be any Lisp
504 object. The final argument is not copied or converted; it becomes the
505 @sc{cdr} of the last cons cell in the new list. If the final argument
506 is itself a list, then its elements become in effect elements of the
507 result list. If the final element is not a list, the result is a
508 dotted list since its final @sc{cdr} is not @code{nil} as required
511 In Emacs 20 and before, the @code{append} function also allowed
512 integers as (non last) arguments. It converted them to strings of
513 digits, making up the decimal print representation of the integer, and
514 then used the strings instead of the original integers. This obsolete
515 usage no longer works. The proper way to convert an integer to a
516 decimal number in this way is with @code{format} (@pxref{Formatting
517 Strings}) or @code{number-to-string} (@pxref{String Conversion}).
520 Here is an example of using @code{append}:
524 (setq trees '(pine oak))
526 (setq more-trees (append '(maple birch) trees))
527 @result{} (maple birch pine oak)
534 @result{} (maple birch pine oak)
537 (eq trees (cdr (cdr more-trees)))
542 You can see how @code{append} works by looking at a box diagram. The
543 variable @code{trees} is set to the list @code{(pine oak)} and then the
544 variable @code{more-trees} is set to the list @code{(maple birch pine
545 oak)}. However, the variable @code{trees} continues to refer to the
552 | --- --- --- --- -> --- --- --- ---
553 --> | | |--> | | |--> | | |--> | | |--> nil
554 --- --- --- --- --- --- --- ---
557 --> maple -->birch --> pine --> oak
561 An empty sequence contributes nothing to the value returned by
562 @code{append}. As a consequence of this, a final @code{nil} argument
563 forces a copy of the previous argument:
571 (setq wood (append trees nil))
585 This once was the usual way to copy a list, before the function
586 @code{copy-sequence} was invented. @xref{Sequences Arrays Vectors}.
588 Here we show the use of vectors and strings as arguments to @code{append}:
592 (append [a b] "cd" nil)
593 @result{} (a b 99 100)
597 With the help of @code{apply} (@pxref{Calling Functions}), we can append
598 all the lists in a list of lists:
602 (apply 'append '((a b c) nil (x y z) nil))
603 @result{} (a b c x y z)
607 If no @var{sequences} are given, @code{nil} is returned:
616 Here are some examples where the final argument is not a list:
622 @result{} (x y . [z])
626 The second example shows that when the final argument is a sequence but
627 not a list, the sequence's elements do not become elements of the
628 resulting list. Instead, the sequence becomes the final @sc{cdr}, like
629 any other non-list final argument.
632 This function creates a new list whose elements are the elements of
633 @var{list}, but in reverse order. The original argument @var{list} is
650 @defun copy-tree tree &optional vecp
651 This function returns a copy of the tree @code{tree}. If @var{tree} is a
652 cons cell, this makes a new cons cell with the same @sc{car} and
653 @sc{cdr}, then recursively copies the @sc{car} and @sc{cdr} in the
656 Normally, when @var{tree} is anything other than a cons cell,
657 @code{copy-tree} simply returns @var{tree}. However, if @var{vecp} is
658 non-@code{nil}, it copies vectors too (and operates recursively on
662 @defun number-sequence from &optional to separation
663 This returns a list of numbers starting with @var{from} and
664 incrementing by @var{separation}, and ending at or just before
665 @var{to}. @var{separation} can be positive or negative and defaults
666 to 1. If @var{to} is @code{nil} or numerically equal to @var{from},
667 the value is the one-element list @code{(@var{from})}. If @var{to} is
668 less than @var{from} with a positive @var{separation}, or greater than
669 @var{from} with a negative @var{separation}, the value is @code{nil}
670 because those arguments specify an empty sequence.
672 If @var{separation} is 0 and @var{to} is neither @code{nil} nor
673 numerically equal to @var{from}, @code{number-sequence} signals an
674 error, since those arguments specify an infinite sequence.
676 All arguments can be integers or floating point numbers. However,
677 floating point arguments can be tricky, because floating point
678 arithmetic is inexact. For instance, depending on the machine, it may
679 quite well happen that @code{(number-sequence 0.4 0.6 0.2)} returns
680 the one element list @code{(0.4)}, whereas
681 @code{(number-sequence 0.4 0.8 0.2)} returns a list with three
682 elements. The @var{n}th element of the list is computed by the exact
683 formula @code{(+ @var{from} (* @var{n} @var{separation}))}. Thus, if
684 one wants to make sure that @var{to} is included in the list, one can
685 pass an expression of this exact type for @var{to}. Alternatively,
686 one can replace @var{to} with a slightly larger value (or a slightly
687 more negative value if @var{separation} is negative).
692 (number-sequence 4 9)
693 @result{} (4 5 6 7 8 9)
694 (number-sequence 9 4 -1)
695 @result{} (9 8 7 6 5 4)
696 (number-sequence 9 4 -2)
700 (number-sequence 8 5)
702 (number-sequence 5 8 -1)
704 (number-sequence 1.5 6 2)
705 @result{} (1.5 3.5 5.5)
709 @node Modifying Lists
710 @section Modifying Existing List Structure
711 @cindex destructive list operations
713 You can modify the @sc{car} and @sc{cdr} contents of a cons cell with the
714 primitives @code{setcar} and @code{setcdr}. We call these ``destructive''
715 operations because they change existing list structure.
717 @cindex CL note---@code{rplaca} vs @code{setcar}
721 @b{Common Lisp note:} Common Lisp uses functions @code{rplaca} and
722 @code{rplacd} to alter list structure; they change structure the same
723 way as @code{setcar} and @code{setcdr}, but the Common Lisp functions
724 return the cons cell while @code{setcar} and @code{setcdr} return the
725 new @sc{car} or @sc{cdr}.
729 * Setcar:: Replacing an element in a list.
730 * Setcdr:: Replacing part of the list backbone.
731 This can be used to remove or add elements.
732 * Rearrangement:: Reordering the elements in a list; combining lists.
736 @subsection Altering List Elements with @code{setcar}
738 Changing the @sc{car} of a cons cell is done with @code{setcar}. When
739 used on a list, @code{setcar} replaces one element of a list with a
742 @defun setcar cons object
743 This function stores @var{object} as the new @sc{car} of @var{cons},
744 replacing its previous @sc{car}. In other words, it changes the
745 @sc{car} slot of @var{cons} to refer to @var{object}. It returns the
746 value @var{object}. For example:
764 When a cons cell is part of the shared structure of several lists,
765 storing a new @sc{car} into the cons changes one element of each of
766 these lists. Here is an example:
770 ;; @r{Create two lists that are partly shared.}
773 (setq x2 (cons 'z (cdr x1)))
778 ;; @r{Replace the @sc{car} of a shared link.}
779 (setcar (cdr x1) 'foo)
781 x1 ; @r{Both lists are changed.}
788 ;; @r{Replace the @sc{car} of a link that is not shared.}
791 x1 ; @r{Only one list is changed.}
792 @result{} (baz foo c)
798 Here is a graphical depiction of the shared structure of the two lists
799 in the variables @code{x1} and @code{x2}, showing why replacing @code{b}
804 --- --- --- --- --- ---
805 x1---> | | |----> | | |--> | | |--> nil
806 --- --- --- --- --- ---
820 Here is an alternative form of box diagram, showing the same relationship:
825 -------------- -------------- --------------
826 | car | cdr | | car | cdr | | car | cdr |
827 | a | o------->| b | o------->| c | nil |
829 -------------- | -------------- --------------
841 @subsection Altering the CDR of a List
843 The lowest-level primitive for modifying a @sc{cdr} is @code{setcdr}:
845 @defun setcdr cons object
846 This function stores @var{object} as the new @sc{cdr} of @var{cons},
847 replacing its previous @sc{cdr}. In other words, it changes the
848 @sc{cdr} slot of @var{cons} to refer to @var{object}. It returns the
852 Here is an example of replacing the @sc{cdr} of a list with a
853 different list. All but the first element of the list are removed in
854 favor of a different sequence of elements. The first element is
855 unchanged, because it resides in the @sc{car} of the list, and is not
856 reached via the @sc{cdr}.
873 You can delete elements from the middle of a list by altering the
874 @sc{cdr}s of the cons cells in the list. For example, here we delete
875 the second element, @code{b}, from the list @code{(a b c)}, by changing
876 the @sc{cdr} of the first cons cell:
882 (setcdr x1 (cdr (cdr x1)))
890 Here is the result in box notation:
896 -------------- | -------------- | --------------
897 | car | cdr | | | car | cdr | -->| car | cdr |
898 | a | o----- | b | o-------->| c | nil |
900 -------------- -------------- --------------
905 The second cons cell, which previously held the element @code{b}, still
906 exists and its @sc{car} is still @code{b}, but it no longer forms part
909 It is equally easy to insert a new element by changing @sc{cdr}s:
915 (setcdr x1 (cons 'd (cdr x1)))
922 Here is this result in box notation:
926 -------------- ------------- -------------
927 | car | cdr | | car | cdr | | car | cdr |
928 | a | o | -->| b | o------->| c | nil |
929 | | | | | | | | | | |
930 --------- | -- | ------------- -------------
943 @subsection Functions that Rearrange Lists
944 @cindex rearrangement of lists
945 @cindex modification of lists
947 Here are some functions that rearrange lists ``destructively'' by
948 modifying the @sc{cdr}s of their component cons cells. We call these
949 functions ``destructive'' because they chew up the original lists passed
950 to them as arguments, relinking their cons cells to form a new list that
951 is the returned value.
954 See @code{delq}, in @ref{Sets And Lists}, for another function
955 that modifies cons cells.
958 The function @code{delq} in the following section is another example
959 of destructive list manipulation.
962 @defun nconc &rest lists
963 @cindex concatenating lists
964 @cindex joining lists
965 This function returns a list containing all the elements of @var{lists}.
966 Unlike @code{append} (@pxref{Building Lists}), the @var{lists} are
967 @emph{not} copied. Instead, the last @sc{cdr} of each of the
968 @var{lists} is changed to refer to the following list. The last of the
969 @var{lists} is not altered. For example:
978 @result{} (1 2 3 4 5)
982 @result{} (1 2 3 4 5)
986 Since the last argument of @code{nconc} is not itself modified, it is
987 reasonable to use a constant list, such as @code{'(4 5)}, as in the
988 above example. For the same reason, the last argument need not be a
998 @result{} (1 2 3 . z)
1002 @result{} (1 2 3 . z)
1006 However, the other arguments (all but the last) must be lists.
1008 A common pitfall is to use a quoted constant list as a non-last
1009 argument to @code{nconc}. If you do this, your program will change
1010 each time you run it! Here is what happens:
1014 (defun add-foo (x) ; @r{We want this function to add}
1015 (nconc '(foo) x)) ; @r{@code{foo} to the front of its arg.}
1019 (symbol-function 'add-foo)
1020 @result{} (lambda (x) (nconc (quote (foo)) x))
1024 (setq xx (add-foo '(1 2))) ; @r{It seems to work.}
1028 (setq xy (add-foo '(3 4))) ; @r{What happened?}
1029 @result{} (foo 1 2 3 4)
1037 (symbol-function 'add-foo)
1038 @result{} (lambda (x) (nconc (quote (foo 1 2 3 4) x)))
1043 @defun nreverse list
1044 @cindex reversing a list
1045 This function reverses the order of the elements of @var{list}.
1046 Unlike @code{reverse}, @code{nreverse} alters its argument by reversing
1047 the @sc{cdr}s in the cons cells forming the list. The cons cell that
1048 used to be the last one in @var{list} becomes the first cons cell of the
1065 ;; @r{The cons cell that was first is now last.}
1071 To avoid confusion, we usually store the result of @code{nreverse}
1072 back in the same variable which held the original list:
1075 (setq x (nreverse x))
1078 Here is the @code{nreverse} of our favorite example, @code{(a b c)},
1079 presented graphically:
1083 @r{Original list head:} @r{Reversed list:}
1084 ------------- ------------- ------------
1085 | car | cdr | | car | cdr | | car | cdr |
1086 | a | nil |<-- | b | o |<-- | c | o |
1087 | | | | | | | | | | | | |
1088 ------------- | --------- | - | -------- | -
1090 ------------- ------------
1095 @defun sort list predicate
1097 @cindex sorting lists
1098 This function sorts @var{list} stably, though destructively, and
1099 returns the sorted list. It compares elements using @var{predicate}. A
1100 stable sort is one in which elements with equal sort keys maintain their
1101 relative order before and after the sort. Stability is important when
1102 successive sorts are used to order elements according to different
1105 The argument @var{predicate} must be a function that accepts two
1106 arguments. It is called with two elements of @var{list}. To get an
1107 increasing order sort, the @var{predicate} should return non-@code{nil} if the
1108 first element is ``less than'' the second, or @code{nil} if not.
1110 The comparison function @var{predicate} must give reliable results for
1111 any given pair of arguments, at least within a single call to
1112 @code{sort}. It must be @dfn{antisymmetric}; that is, if @var{a} is
1113 less than @var{b}, @var{b} must not be less than @var{a}. It must be
1114 @dfn{transitive}---that is, if @var{a} is less than @var{b}, and @var{b}
1115 is less than @var{c}, then @var{a} must be less than @var{c}. If you
1116 use a comparison function which does not meet these requirements, the
1117 result of @code{sort} is unpredictable.
1119 The destructive aspect of @code{sort} is that it rearranges the cons
1120 cells forming @var{list} by changing @sc{cdr}s. A nondestructive sort
1121 function would create new cons cells to store the elements in their
1122 sorted order. If you wish to make a sorted copy without destroying the
1123 original, copy it first with @code{copy-sequence} and then sort.
1125 Sorting does not change the @sc{car}s of the cons cells in @var{list};
1126 the cons cell that originally contained the element @code{a} in
1127 @var{list} still has @code{a} in its @sc{car} after sorting, but it now
1128 appears in a different position in the list due to the change of
1129 @sc{cdr}s. For example:
1133 (setq nums '(1 3 2 6 5 4 0))
1134 @result{} (1 3 2 6 5 4 0)
1138 @result{} (0 1 2 3 4 5 6)
1142 @result{} (1 2 3 4 5 6)
1147 @strong{Warning}: Note that the list in @code{nums} no longer contains
1148 0; this is the same cons cell that it was before, but it is no longer
1149 the first one in the list. Don't assume a variable that formerly held
1150 the argument now holds the entire sorted list! Instead, save the result
1151 of @code{sort} and use that. Most often we store the result back into
1152 the variable that held the original list:
1155 (setq nums (sort nums '<))
1158 @xref{Sorting}, for more functions that perform sorting.
1159 See @code{documentation} in @ref{Accessing Documentation}, for a
1160 useful example of @code{sort}.
1163 @node Sets And Lists
1164 @section Using Lists as Sets
1165 @cindex lists as sets
1168 A list can represent an unordered mathematical set---simply consider a
1169 value an element of a set if it appears in the list, and ignore the
1170 order of the list. To form the union of two sets, use @code{append} (as
1171 long as you don't mind having duplicate elements). You can remove
1172 @code{equal} duplicates using @code{delete-dups}. Other useful
1173 functions for sets include @code{memq} and @code{delq}, and their
1174 @code{equal} versions, @code{member} and @code{delete}.
1176 @cindex CL note---lack @code{union}, @code{intersection}
1178 @b{Common Lisp note:} Common Lisp has functions @code{union} (which
1179 avoids duplicate elements) and @code{intersection} for set operations,
1180 but GNU Emacs Lisp does not have them. You can write them in Lisp if
1184 @defun memq object list
1185 @cindex membership in a list
1186 This function tests to see whether @var{object} is a member of
1187 @var{list}. If it is, @code{memq} returns a list starting with the
1188 first occurrence of @var{object}. Otherwise, it returns @code{nil}.
1189 The letter @samp{q} in @code{memq} says that it uses @code{eq} to
1190 compare @var{object} against the elements of the list. For example:
1194 (memq 'b '(a b c b a))
1198 (memq '(2) '((1) (2))) ; @r{@code{(2)} and @code{(2)} are not @code{eq}.}
1204 @defun delq object list
1205 @cindex deletion of elements
1206 This function destructively removes all elements @code{eq} to
1207 @var{object} from @var{list}. The letter @samp{q} in @code{delq} says
1208 that it uses @code{eq} to compare @var{object} against the elements of
1209 the list, like @code{memq} and @code{remq}.
1212 When @code{delq} deletes elements from the front of the list, it does so
1213 simply by advancing down the list and returning a sublist that starts
1214 after those elements:
1218 (delq 'a '(a b c)) @equiv{} (cdr '(a b c))
1222 When an element to be deleted appears in the middle of the list,
1223 removing it involves changing the @sc{cdr}s (@pxref{Setcdr}).
1227 (setq sample-list '(a b c (4)))
1228 @result{} (a b c (4))
1231 (delq 'a sample-list)
1236 @result{} (a b c (4))
1239 (delq 'c sample-list)
1248 Note that @code{(delq 'c sample-list)} modifies @code{sample-list} to
1249 splice out the third element, but @code{(delq 'a sample-list)} does not
1250 splice anything---it just returns a shorter list. Don't assume that a
1251 variable which formerly held the argument @var{list} now has fewer
1252 elements, or that it still holds the original list! Instead, save the
1253 result of @code{delq} and use that. Most often we store the result back
1254 into the variable that held the original list:
1257 (setq flowers (delq 'rose flowers))
1260 In the following example, the @code{(4)} that @code{delq} attempts to match
1261 and the @code{(4)} in the @code{sample-list} are not @code{eq}:
1265 (delq '(4) sample-list)
1270 @defun remq object list
1271 This function returns a copy of @var{list}, with all elements removed
1272 which are @code{eq} to @var{object}. The letter @samp{q} in @code{remq}
1273 says that it uses @code{eq} to compare @var{object} against the elements
1278 (setq sample-list '(a b c a b c))
1279 @result{} (a b c a b c)
1282 (remq 'a sample-list)
1287 @result{} (a b c a b c)
1291 The function @code{delq} offers a way to perform this operation
1292 destructively. See @ref{Sets And Lists}.
1295 The following three functions are like @code{memq}, @code{delq} and
1296 @code{remq}, but use @code{equal} rather than @code{eq} to compare
1297 elements. @xref{Equality Predicates}.
1299 @defun member object list
1300 The function @code{member} tests to see whether @var{object} is a member
1301 of @var{list}, comparing members with @var{object} using @code{equal}.
1302 If @var{object} is a member, @code{member} returns a list starting with
1303 its first occurrence in @var{list}. Otherwise, it returns @code{nil}.
1305 Compare this with @code{memq}:
1309 (member '(2) '((1) (2))) ; @r{@code{(2)} and @code{(2)} are @code{equal}.}
1313 (memq '(2) '((1) (2))) ; @r{@code{(2)} and @code{(2)} are not @code{eq}.}
1317 ;; @r{Two strings with the same contents are @code{equal}.}
1318 (member "foo" '("foo" "bar"))
1319 @result{} ("foo" "bar")
1324 @defun delete object sequence
1325 If @code{sequence} is a list, this function destructively removes all
1326 elements @code{equal} to @var{object} from @var{sequence}. For lists,
1327 @code{delete} is to @code{delq} as @code{member} is to @code{memq}: it
1328 uses @code{equal} to compare elements with @var{object}, like
1329 @code{member}; when it finds an element that matches, it removes the
1330 element just as @code{delq} would.
1332 If @code{sequence} is a vector or string, @code{delete} returns a copy
1333 of @code{sequence} with all elements @code{equal} to @code{object}
1340 (delete '(2) '((2) (1) (2)))
1344 (delete '(2) [(2) (1) (2)])
1350 @defun remove object sequence
1351 This function is the non-destructive counterpart of @code{delete}. If
1352 returns a copy of @code{sequence}, a list, vector, or string, with
1353 elements @code{equal} to @code{object} removed. For example:
1357 (remove '(2) '((2) (1) (2)))
1361 (remove '(2) [(2) (1) (2)])
1368 @b{Common Lisp note:} The functions @code{member}, @code{delete} and
1369 @code{remove} in GNU Emacs Lisp are derived from Maclisp, not Common
1370 Lisp. The Common Lisp versions do not use @code{equal} to compare
1374 @defun member-ignore-case object list
1375 This function is like @code{member}, except that @var{object} should
1376 be a string and that it ignores differences in letter-case and text
1377 representation: upper-case and lower-case letters are treated as
1378 equal, and unibyte strings are converted to multibyte prior to
1382 @defun delete-dups list
1383 This function destructively removes all @code{equal} duplicates from
1384 @var{list}, stores the result in @var{list} and returns it. Of
1385 several @code{equal} occurrences of an element in @var{list},
1386 @code{delete-dups} keeps the first one.
1389 See also the function @code{add-to-list}, in @ref{Setting Variables},
1390 for another way to add an element to a list stored in a variable.
1392 @node Association Lists
1393 @section Association Lists
1394 @cindex association list
1397 An @dfn{association list}, or @dfn{alist} for short, records a mapping
1398 from keys to values. It is a list of cons cells called
1399 @dfn{associations}: the @sc{car} of each cons cell is the @dfn{key}, and the
1400 @sc{cdr} is the @dfn{associated value}.@footnote{This usage of ``key''
1401 is not related to the term ``key sequence''; it means a value used to
1402 look up an item in a table. In this case, the table is the alist, and
1403 the alist associations are the items.}
1405 Here is an example of an alist. The key @code{pine} is associated with
1406 the value @code{cones}; the key @code{oak} is associated with
1407 @code{acorns}; and the key @code{maple} is associated with @code{seeds}.
1417 The associated values in an alist may be any Lisp objects; so may the
1418 keys. For example, in the following alist, the symbol @code{a} is
1419 associated with the number @code{1}, and the string @code{"b"} is
1420 associated with the @emph{list} @code{(2 3)}, which is the @sc{cdr} of
1427 Sometimes it is better to design an alist to store the associated
1428 value in the @sc{car} of the @sc{cdr} of the element. Here is an
1429 example of such an alist:
1432 ((rose red) (lily white) (buttercup yellow))
1436 Here we regard @code{red} as the value associated with @code{rose}. One
1437 advantage of this kind of alist is that you can store other related
1438 information---even a list of other items---in the @sc{cdr} of the
1439 @sc{cdr}. One disadvantage is that you cannot use @code{rassq} (see
1440 below) to find the element containing a given value. When neither of
1441 these considerations is important, the choice is a matter of taste, as
1442 long as you are consistent about it for any given alist.
1444 Note that the same alist shown above could be regarded as having the
1445 associated value in the @sc{cdr} of the element; the value associated
1446 with @code{rose} would be the list @code{(red)}.
1448 Association lists are often used to record information that you might
1449 otherwise keep on a stack, since new associations may be added easily to
1450 the front of the list. When searching an association list for an
1451 association with a given key, the first one found is returned, if there
1454 In Emacs Lisp, it is @emph{not} an error if an element of an
1455 association list is not a cons cell. The alist search functions simply
1456 ignore such elements. Many other versions of Lisp signal errors in such
1459 Note that property lists are similar to association lists in several
1460 respects. A property list behaves like an association list in which
1461 each key can occur only once. @xref{Property Lists}, for a comparison
1462 of property lists and association lists.
1464 @defun assoc key alist
1465 This function returns the first association for @var{key} in
1466 @var{alist}. It compares @var{key} against the alist elements using
1467 @code{equal} (@pxref{Equality Predicates}). It returns @code{nil} if no
1468 association in @var{alist} has a @sc{car} @code{equal} to @var{key}.
1472 (setq trees '((pine . cones) (oak . acorns) (maple . seeds)))
1473 @result{} ((pine . cones) (oak . acorns) (maple . seeds))
1475 @result{} (oak . acorns)
1476 (cdr (assoc 'oak trees))
1478 (assoc 'birch trees)
1482 Here is another example, in which the keys and values are not symbols:
1485 (setq needles-per-cluster
1486 '((2 "Austrian Pine" "Red Pine")
1490 (cdr (assoc 3 needles-per-cluster))
1491 @result{} ("Pitch Pine")
1492 (cdr (assoc 2 needles-per-cluster))
1493 @result{} ("Austrian Pine" "Red Pine")
1497 The function @code{assoc-string} is much like @code{assoc} except
1498 that it ignores certain differences between strings. @xref{Text
1501 @defun rassoc value alist
1502 This function returns the first association with value @var{value} in
1503 @var{alist}. It returns @code{nil} if no association in @var{alist} has
1504 a @sc{cdr} @code{equal} to @var{value}.
1506 @code{rassoc} is like @code{assoc} except that it compares the @sc{cdr} of
1507 each @var{alist} association instead of the @sc{car}. You can think of
1508 this as ``reverse @code{assoc}'', finding the key for a given value.
1511 @defun assq key alist
1512 This function is like @code{assoc} in that it returns the first
1513 association for @var{key} in @var{alist}, but it makes the comparison
1514 using @code{eq} instead of @code{equal}. @code{assq} returns @code{nil}
1515 if no association in @var{alist} has a @sc{car} @code{eq} to @var{key}.
1516 This function is used more often than @code{assoc}, since @code{eq} is
1517 faster than @code{equal} and most alists use symbols as keys.
1518 @xref{Equality Predicates}.
1521 (setq trees '((pine . cones) (oak . acorns) (maple . seeds)))
1522 @result{} ((pine . cones) (oak . acorns) (maple . seeds))
1524 @result{} (pine . cones)
1527 On the other hand, @code{assq} is not usually useful in alists where the
1528 keys may not be symbols:
1532 '(("simple leaves" . oak)
1533 ("compound leaves" . horsechestnut)))
1535 (assq "simple leaves" leaves)
1537 (assoc "simple leaves" leaves)
1538 @result{} ("simple leaves" . oak)
1542 @defun rassq value alist
1543 This function returns the first association with value @var{value} in
1544 @var{alist}. It returns @code{nil} if no association in @var{alist} has
1545 a @sc{cdr} @code{eq} to @var{value}.
1547 @code{rassq} is like @code{assq} except that it compares the @sc{cdr} of
1548 each @var{alist} association instead of the @sc{car}. You can think of
1549 this as ``reverse @code{assq}'', finding the key for a given value.
1554 (setq trees '((pine . cones) (oak . acorns) (maple . seeds)))
1556 (rassq 'acorns trees)
1557 @result{} (oak . acorns)
1558 (rassq 'spores trees)
1562 Note that @code{rassq} cannot search for a value stored in the @sc{car}
1563 of the @sc{cdr} of an element:
1566 (setq colors '((rose red) (lily white) (buttercup yellow)))
1568 (rassq 'white colors)
1572 In this case, the @sc{cdr} of the association @code{(lily white)} is not
1573 the symbol @code{white}, but rather the list @code{(white)}. This
1574 becomes clearer if the association is written in dotted pair notation:
1577 (lily white) @equiv{} (lily . (white))
1581 @defun assoc-default key alist &optional test default
1582 This function searches @var{alist} for a match for @var{key}. For each
1583 element of @var{alist}, it compares the element (if it is an atom) or
1584 the element's @sc{car} (if it is a cons) against @var{key}, by calling
1585 @var{test} with two arguments: the element or its @sc{car}, and
1586 @var{key}. The arguments are passed in that order so that you can get
1587 useful results using @code{string-match} with an alist that contains
1588 regular expressions (@pxref{Regexp Search}). If @var{test} is omitted
1589 or @code{nil}, @code{equal} is used for comparison.
1591 If an alist element matches @var{key} by this criterion,
1592 then @code{assoc-default} returns a value based on this element.
1593 If the element is a cons, then the value is the element's @sc{cdr}.
1594 Otherwise, the return value is @var{default}.
1596 If no alist element matches @var{key}, @code{assoc-default} returns
1600 @defun copy-alist alist
1601 @cindex copying alists
1602 This function returns a two-level deep copy of @var{alist}: it creates a
1603 new copy of each association, so that you can alter the associations of
1604 the new alist without changing the old one.
1608 (setq needles-per-cluster
1609 '((2 . ("Austrian Pine" "Red Pine"))
1610 (3 . ("Pitch Pine"))
1612 (5 . ("White Pine"))))
1614 ((2 "Austrian Pine" "Red Pine")
1618 (setq copy (copy-alist needles-per-cluster))
1620 ((2 "Austrian Pine" "Red Pine")
1624 (eq needles-per-cluster copy)
1626 (equal needles-per-cluster copy)
1628 (eq (car needles-per-cluster) (car copy))
1630 (cdr (car (cdr needles-per-cluster)))
1631 @result{} ("Pitch Pine")
1633 (eq (cdr (car (cdr needles-per-cluster)))
1634 (cdr (car (cdr copy))))
1639 This example shows how @code{copy-alist} makes it possible to change
1640 the associations of one copy without affecting the other:
1644 (setcdr (assq 3 copy) '("Martian Vacuum Pine"))
1645 (cdr (assq 3 needles-per-cluster))
1646 @result{} ("Pitch Pine")
1651 @defun assq-delete-all key alist
1652 @tindex assq-delete-all
1653 This function deletes from @var{alist} all the elements whose @sc{car}
1654 is @code{eq} to @var{key}, much as if you used @code{delq} to delete
1655 each such element one by one. It returns the shortened alist, and
1656 often modifies the original list structure of @var{alist}. For
1657 correct results, use the return value of @code{assq-delete-all} rather
1658 than looking at the saved value of @var{alist}.
1661 (setq alist '((foo 1) (bar 2) (foo 3) (lose 4)))
1662 @result{} ((foo 1) (bar 2) (foo 3) (lose 4))
1663 (assq-delete-all 'foo alist)
1664 @result{} ((bar 2) (lose 4))
1666 @result{} ((foo 1) (bar 2) (lose 4))
1670 @defun rassq-delete-all value alist
1671 This function deletes from @var{alist} all the elements whose @sc{cdr}
1672 is @code{eq} to @var{value}. It returns the shortened alist, and
1673 often modifies the original list structure of @var{alist}.
1674 @code{rassq-delete-all} is like @code{assq-delete-all} except that it
1675 compares the @sc{cdr} of each @var{alist} association instead of the
1680 @section Managing a Fixed-Size Ring of Objects
1682 @cindex ring data structure
1683 This section describes functions for operating on rings. A
1684 @dfn{ring} is a fixed-size data structure that supports insertion,
1685 deletion, rotation, and modulo-indexed reference and traversal.
1687 @defun make-ring size
1688 This returns a new ring capable of holding @var{size} objects.
1689 @var{size} should be an integer.
1692 @defun ring-p object
1693 This returns @code{t} if @var{object} is a ring, @code{nil} otherwise.
1696 @defun ring-size ring
1697 This returns the maximum capacity of the @var{ring}.
1700 @defun ring-length ring
1701 This returns the number of objects that @var{ring} currently contains.
1702 The value will never exceed that returned by @code{ring-size}.
1705 @defun ring-elements ring
1706 This returns a list of the objects in @var{ring}, in order, newest first.
1709 @defun ring-copy ring
1710 This returns a new ring which is a copy of @var{ring}.
1711 The new ring contains the same (@code{eq}) objects as @var{ring}.
1714 @defun ring-empty-p ring
1715 This returns @code{t} if @var{ring} is empty, @code{nil} otherwise.
1718 The newest element in the ring always has index 0. Higher indices
1719 correspond to older elements. Indices are computed modulo the ring
1720 length. Index @minus{}1 corresponds to the oldest element, @minus{}2
1721 to the next-oldest, and so forth.
1723 @defun ring-ref ring index
1724 This returns the object in @var{ring} found at index @var{index}.
1725 @var{index} may be negative or greater than the ring length. If
1726 @var{ring} is empty, @code{ring-ref} signals an error.
1729 @defun ring-insert ring object
1730 This inserts @var{object} into @var{ring}, making it the newest
1731 element, and returns @var{object}.
1733 If the ring is full, insertion removes the oldest element to
1734 make room for the new element.
1737 @defun ring-remove ring &optional index
1738 Remove an object from @var{ring}, and return that object. The
1739 argument @var{index} specifies which item to remove; if it is
1740 @code{nil}, that means to remove the oldest item. If @var{ring} is
1741 empty, @code{ring-remove} signals an error.
1744 @defun ring-insert-at-beginning ring object
1745 This inserts @var{object} into @var{ring}, treating it as the oldest
1746 element. The return value is not significant.
1748 If the ring is full, this function removes the newest element to make
1749 room for the inserted element.
1752 @cindex fifo data structure
1753 If you are careful not to exceed the ring size, you can
1754 use the ring as a first-in-first-out queue. For example:
1757 (let ((fifo (make-ring 5)))
1758 (mapc (lambda (obj) (ring-insert fifo obj))
1760 (list (ring-remove fifo) t
1761 (ring-remove fifo) t
1762 (ring-remove fifo)))
1763 @result{} (0 t one t "two")
1767 arch-tag: 31fb8a4e-4aa8-4a74-a206-aa00451394d4