We find this function builder to realize composition in P.Graham's "ANSI Common Lisp" (page 110).
The arguments are n>0 quoted function names. I don't understand it completely, so I'll quote the code here and specify my questions underneath it:
(defun compose (&rest fns)
(destructuring-bind (fn1 . rest) (reverse fns)
#'(lambda (&rest args)
(reduce #'(lambda (v f) (funcall f v))
rest
:initial-value (apply fn1 args)))))
The argument list to compose is reversed and unpacked, its (now first) element bound to 'fn1' and the rest to 'rest'.
The body of the outermost lambda is a reduce: (funcall fi (funcall fi-1 ... ) ), with operands in inverted order to restore the initial one.
1) What is the role of the outermost lambda expression? Namely, where does it get its 'args' from? Is it the data structure specified as the first argument of destructuring-bind?
2) Where does the innermost lambda take its two arguments from?
I mean I can appreciate what the code does but still the lexical scope is a bit of a mystery to me.
Looking forward to any and all comments!
Thanks in advance,
//Marco
It's probably easier if you consider first a couple of practical examples:
(defun compose1 (a)
(lambda (&rest args)
(apply a args)))
(defun compose2 (a b)
(lambda (&rest args)
(funcall a (apply b args))))
(defun compose3 (a b c)
(lambda (&rest args)
(funcall a (funcall b (apply c args)))))
So the outermost lambda is the return value: a function that takes any arguments, what it does with it is applying the last function and chaining all the others in reverse order on the result got from last function.
Note: compose1 could be defined more simply as (defun compose1 (a) a).
A somewhat equivalent but less efficient version could be
(defun compose (&rest functions)
(if (= (length functions) 1)
(car functions)
(lambda (&rest args)
(funcall (first functions)
(apply (apply #'compose (rest functions))
args)))))
1) The outermost lambda creates a closure for you, because the result of (combine ...) is a function that calulates the composition of other functions.
2) The innermost lambda gets ists argument from the function reduce. Reduce takes a function (the innermost lambda) of two arguments and applies it stepwise to a list, e.g.
(reduce #'- '(1 2 3 4)) is (- (- (- 1 2) 3) 4)
Related
From the book "ANSI Common Lisp", p. 100 ch 6.1 :
Suppose that a marble is a structure with a single field called color.
The function UNIFORM-COLOR takes a list of marbles and returns
their color, if they all have the same color, or nil if they have
different colors.
UNIFORM-COLOR is usable on a setf place in order to make the color
of each element of list of marbles be a specific color.
(defstruct marble color)
(defun uniform-color (lst &optional (color (and lst (marble-color (car lst)))))
(every #'(lambda (m) (equal (marble-color m) color)) lst))
(defun (setf uniform-color) (color lst)
(mapc #'(lambda (m) (setf (marble-color m) color)) lst))
How could you implement the defun (setf uniform) in a tail-recursive way instead of using the mapc applicative operator ?
This question is specific to the case of (defun (setf ...)), it is not a question about how recursion or tail-recursion work in general.
i guess you can just call setf recursively:
(defun (setf all-vals) (v ls)
(when ls
(setf (car ls) v)
(setf (all-vals (cdr ls)) v)))
CL-USER> (let ((ls (list 1 2 3 4)))
(setf (all-vals ls) :new-val)
ls)
;;=> (:NEW-VAL :NEW-VAL :NEW-VAL :NEW-VAL)
this is how sbcl expands this:
(defun (setf all-vals) (v ls)
(if ls
(progn
(sb-kernel:%rplaca ls v)
(let* ((#:g328 (cdr ls)) (#:new1 v))
(funcall #'(setf all-vals) #:new1 #:g328)))))
For the specific case of marbles:
(defun (setf uniform-color) (color lst)
(when lst
(setf (marble-color (car lst)) color)
(setf (uniform-color (cdr lst)) color)))
General case
The answer is the same for setf functions and regular functions.
Let's say you have another function f that you want to call to print all the values in a list:
(defun f (list)
(mapc 'print list))
You can rewrite it recursively, you have to consider the two distinct case of recursion for a list, either it is nil or a cons cell:
(defun f (list)
(etypecase list
(null ...)
(cons ...)))
Typically in the null case (this is a type), you won't do anything.
In the general cons case (this is also a type), you have to process the first item and recurse:
(defun f (list)
(etypecase list
(null nil)
(cons
(print (first list))
(f (rest list)))))
The call to f is in tail position: its return value is the return value of the enclosing f, no other processing is done to the return value.
You can do the same with your function.
Note
It looks like the setf function defined in the book does not return the value being set (the color), which is bad practice as far as I know:
all that is guaranteed is that the expansion is an update form that works for that particular implementation, that the left-to-right evaluation of subforms is preserved, and that the ultimate result of evaluating setf is the value or values being stored.
5.1.1 Overview of Places and Generalized Reference
Also, in your specific case you are subject to 5.1.2.9 Other Compound Forms as Places, which also says:
A function named (setf f) must return its first argument as its only value in order to preserve the semantics of setf.
In other words (setf uniform-color) should return color.
But apart from that, the same section guarantees that a call to (setf (uniform-color ...) ...) expands into a call to the function named (setf uniform-color), so it can be a recursive function too. This could have been a problem if this was implemented as macro that expands into the body of your function, but fortunately this is not the case.
Implementation
Setting all the colors in a list named marbles to "yellow" is done as follows:
(setf (uniform-color marbles) "yellow")
You can define (setf uniform-color) recursively by first setting the color of the first marble and then setting the color of the rest of the marbles.
A possible tail-recursive implementation that respects the semantics of setf is:
(defun (setf uniform-color) (color list)
(if list
(destructuring-bind (head . tail) list
(setf (marble-color head) color)
(setf (uniform-color tail) color))
color))
I'm having trouble figuring out how to go about creating a function that can take a series of the same function as arguments with the last argument as an operand. For example:
(func sqrt sqrt sqrt 390625)
The call above should return 5 as (sqrt 390625) > (sqrt 625) > (sqrt 25) > 5
I'm having trouble figuring out the exact way I should write this as any way I have tried has given me errors or achieved an infinite loop.
This the code is have so far:
(define func
(lambda L
(cond ( (equal? (length L) 2) ((car L) (cadr L)) ) ;; If the list consists of only 2 elements, carry out the function (element 1) onto the operand (element 2)
( #t (apply (car L) (func (cdr L))) ) ;; otherwise, apply the function (1st element) onto the rest of the list
)
)
)
The first condition works, for example returning 5 if i call (func sqrt 25), however the recursive call is throwing errors.
I would appreciate any help with this.
The OP doesn't provide a definition for chain, so that part is unclear, but I think that a fundamental problem here is that there is no recursive call to func; further, apply isn't used in the right position.
Instead of using (equal (length L) 2) as a base case, it might be nicer to make recursive calls as long as the first element in the input is a procedure, or otherwise just return the element:
#lang racket
(define multi-call
(lambda args
(let ((arg (car args)))
(if (procedure? arg)
(arg (apply multi-call (cdr args)))
arg))))
Here, when arg is a procedure, then it is applied to the result of calling multi-call recursively on the remaining arguments. Note that multi-call takes an arbitrary number of arguments, wrapping them in the list args. The reduction step provides (cdr args), which is a list of the remaining arguments. This means that apply should be used to call multi-call on those remaining arguments because multi-call expects an arbitrary number of arguments, not a list of arguments.
multi-call.rkt> (multi-call sqrt sqrt sqrt 390625)
5
I am trying to learn Common Lisp with the book Common Lisp: A gentle introduction to Symbolic Computation. In addition, I am using SBCL, Emacs and Slime.
In chapter 7, the author suggests there are three styles of programming the book will cover: recursion, iteration and applicative programming.
I am interested on the last one. This style is famous for the applicative operator funcall which is the primitive responsible for other applicative operators such as mapcar.
Thus, with an educational purpose, I decided to implement my own version of mapcar using funcall:
(defun my-mapcar (fn xs)
(if (null xs)
nil
(cons (funcall fn (car xs))
(my-mapcar fn (cdr xs)))))
As you might see, I used recursion as a programming style to build an iconic applicative programming function.
It seems to work:
CL-USER> (my-mapcar (lambda (n) (+ n 1)) (list 1 2 3 4))
(2 3 4 5)
CL-USER> (my-mapcar (lambda (n) (+ n 1)) (list ))
NIL
;; comparing the results with the official one
CL-USER> (mapcar (lambda (n) (+ n 1)) (list ))
NIL
CL-USER> (mapcar (lambda (n) (+ n 1)) (list 1 2 3 4))
(2 3 4 5)
Is there a way to implement mapcar without using recursion or iteration? Using only applicative programming as a style?
Thanks.
Obs.: I tried to see how it was implemented. But it was not possible
CL-USER> (function-lambda-expression #'mapcar)
NIL
T
MAPCAR
I also used Emacs M-. to look for the documentation. However, the points below did not help me. I used this to find the files below:
/usr/share/sbcl-source/src/code/list.lisp
(DEFUN MAPCAR)
/usr/share/sbcl-source/src/compiler/seqtran.lisp
(:DEFINE-SOURCE-TRANSFORM MAPCAR)
/usr/share/sbcl-source/src/compiler/fndb.lisp
(DECLAIM MAPCAR SB-C:DEFKNOWN)
mapcar is by itself a primitive applicative operator (pag. 220 of Common Lisp: A gentle introduction to Symbolic Computation). So, if you want to rewrite it in an applicative way, you should use some other primitive applicative operator, for instance map or map-into. For instance, with map-into:
CL-USER> (defun my-mapcar (fn list &rest lists)
(apply #'map-into (make-list (length list)) fn list lists))
MY-MAPCAR
CL-USER> (my-mapcar #'1+ '(1 2 3))
(2 3 4)
CL-USER> (my-mapcar #'+ '(1 2 3) '(10 20 30) '(100 200 300))
(111 222 333)
Technically, recursion can be implemented as follows:
(defun fix (f)
(funcall (lambda (x) (funcall x x))
(lambda (x) (funcall f (lambda (&rest y) (apply (funcall x x) y))))))
Notice that fix does not use recursion in any way. In fact, we could have only used lambda in the definition of f as follows:
(defconstant fix-combinator
(lambda (g) (funcall
(lambda (x) (funcall x x))
(lambda (x) (funcall
g
(lambda (&rest y) (apply (funcall x x)
y)))))))
(defun fix-2 (f)
(funcall fix-combinator f))
The fix-combinator constant is more commonly known as the y combinator.
It turns out that fix has the following property:
Evaluating (apply (fix f) list) is equivalent to evaluating (apply (funcall f (fix f)) list). Informally, we have (fix f) = (funcall f (fix f)).
Thus, we can define map-car (I'm using a different name to avoid package lock) by
(defun map-car (func lst)
(funcall (fix (lambda (map-func) (lambda (lst) ; We want mapfunc to be (lambda (lst) (mapcar func lst))
(if (endp lst)
nil
(cons (funcall func (car lst))
(funcall map-func (cdr lst)))))))
lst))
Note the lack of recursion or iteration.
That being said, generally mapcar is just taken as a primitive notion when using the "applicative" style of programming.
Another way you can implement mapcar is by using the more general reduce function (a.k.a. fold). Let's name the user-provided function f and define my-mapcar.
The reduce function carries an accumulator value that builds up the resulting list, here it is going take a value v, a sublist rest, and call cons with (funcall f v) and rest, so as to build a list.
More precisely, here reduce is going to implement a right-fold, since cons is right-associative (e.g. the recursive list is the "right" hand side, ie. the second argument of cons, e.g. (cons a (cons b (cons nil)))).
In order to define a right-fold with reduce, you pass :from-end t, which indicates that it builds-up a value from the last element and the initial accumulator to obtain a new accumulator value, then the second to last element with that new accumulator to build a new accumulator, etc. This is how you ensure that the resulting elements are in the same order as the input list.
In that case, the reducing function takes its the current element as its first argument, and the accumulator as a second argument.
Since the type of the elements and the type of the accumulator are different, you need to pass an :initial-value for the accumulator (the default behavior where the initial-value is taken from the list is for functions like + or *, where the accumulator is in the same domain as the list elements).
With that in mind, you can write it as follows:
(defun my-map (f list)
(reduce (lambda (v rest) (cons (funcall f v) rest))
list
:from-end t
:initial-value nil))
For example:
(my-map #'prin1-to-string '(0 1 2 3))
; => ("0" "1" "2" "3")
Let us suppose we have a function func1 :
(defun func1 (&rest values)
; (do something with values...)
(loop for i in values collect i))
Now, we have a function func2 which calls func1 :
(defun func2 (&rest values)
; (do something with values...)
(func1 ???))
What should I put instead of ??? to "copy" all the parameters of func2's values to func1's values ?
For instance, I would have the following behavior :
(func2 1 2 3 4) ; result is (1 2 3 4) and not ((1 2 3 4)).
In an earlier question I tried to do something like this :
(defun func2 (&rest values)
(macrolet ((my-macro (v)
`(list ,#v)))
(func1 (my-macro values))))
But the defun cannot get the value because it is not runtime. In this answer, he suggested that I use apply, but this function takes a &rest parameter too, so it doesn't solve my problem...
If possible, I would rather avoid to change the prototype of both functions, and the behavior of func1.
In common lisp, it has to be
(apply #'func1 values) ;; since `func1` has to be looked up in function namespace
remember, Clojure and Racket/Scheme are Lisp1, and common lisp is Lisp2.
Alternative solution (just for the sake)
I was asking myself, how to get it done without apply - just for the sake.
The problem with
`(func2 ,#values)
is, that if e.g.
(func2 (list 1 2 3) (list 4) 5)
is called, the values variable is ((1 2 3) (4) 5)
But when it is spliced into (func1 ,#values), what is created is
(func1 (1 2 3) (4) 5). But if we compare this with the func2 call,
it should be rather (func1 (list 1 2 3) (list 4) 5) which is perhaps not possible, because when (func2 (list 1 2 3) (list 4) 5) is called -
in the lisp manner - the arguments of func2 are each evaluated, before they enter the function body of func2, so we end up with values as a list of already evaluated arguments, namely ((1 2 3) (4) 5).
So somehow, concerning the arguments for func1 in the last expression, we are one evaluation-step offbeat.
But there is a solution with quote, that we manage to quote each of the arguments before giving it to func1 in the last expression, to "synchronize" the func1 function call - to let the arguments' evaluation pause for one round.
So my first aim was to generate a new values list inside the func2 body where each of the values list's argument is quoted (this is done in the let-binding).
And then at the end to splice this quoted-values list into the last expression: (func1 '(1 2 3) '(4) '5) which can be regarded as equivalent to (func1 (list 1 2 3) (list 4) 5) for this kind of problems / for this kind of calls.
This was achieved by this code:
(defun func2 (&rest vals)
(let ((quoted-values (loop for x in vals
collect `',x)))
; do sth with vals here - the func2 function -
(eval `(func1 ,#quoted-values))))
This is kind of a macro (it creates code btw. it organizes new code) but executed and created in run-time - not in pre-compile time. Using an eval we execute that generated code on the fly.
And like macroexpand-1, we can look at the result - the code - to which the func1 expression "expands", by removing eval around it - I call it func2-1:
(defun func2-1 (&rest vals)
(let ((quoted-values (loop for x in vals
collect `',x)))
; do sth with vals here - the func2 function -
`(func1 ,#quoted-values)))
And if we run it, it returns the last expression as code immediately before it is evluated in the func2 version:
(func2-1 (list 1 2 3) (list 4) 5)
;; (FUNC1 '(1 2 3) '(4) '5) ;; the returned code
;; the quoted arguments - like desired!
And this happens if we call it using func2 (so with evaluation of the func1 all:
(func2 (list 1 2 3) (list 4) 5)
;; ((1 2 3) (4) 5) ;; the result of (FUNC1 '(1 2 3) '(4) '5)
So I would say this is exactly what you desired!
lists vs. spread arguments
In Common Lisp it is good style to pass lists as lists and not as spread arguments:
(foo (list 1 2 3)) ; better interface
(foo 1 2 3) ; interface is not so good
The language has been defined in a way that efficient function calling can be used by a compiler and this means that the number of arguments which can be passed to a function is limited. There is a standard variable which will tell us how many arguments a particular implementation supports:
This is LispWorks on my Mac:
CL-USER 13 > call-arguments-limit
2047
Some implementations allow much larger number of arguments. But this number can be as low as 50 - for example ABCL, Common Lisp on the JVM, allows only 50 arguments.
Computing with argument lists
But sometimes we want the arguments as a list and then we can use the &rest parameter:
(lambda (&rest args)
(print args))
This is slightly in-efficient, since a list will be consed for the arguments. Usually Lisp tries to avoid to cons lists for arguments - they will be passed in registers or on the stack - if possible.
If we know that the argument list will not be used, then we can give the compiler a hint to use stack allocation - if possible:
(lambda (&rest args)
(declare (dynamic-extent args))
(reduce #'+ args))
In above function, the list of arguments can be deallocated when leaving the function - because the argument list is no longer used then.
If you want to pass these arguments to another function you can use FUNCALL and usually more useful APPLY:
(lambda (&rest args)
(funcall #'write (first args) (second args) (third args)))
or more useful:
(lambda (&rest args)
(apply #'write args))
One can also add additional arguments to APPLY before the list to apply:
CL-USER 19 > ((lambda (&rest args)
(apply #'write
(first args) ; the object
:case :downcase ; additional args
(rest args))
(values))
'(defun foo () 'bar)
:pretty t
:right-margin 15)
(defun foo ()
'bar)
I don't understand what funcall would do in this example. I need an explanation about when the code will execute.
(defun total-value (field L)
"Answer average value of fields of complex entries in list L"
(if (null L)
0
(+ (funcall field (first L))
(total-value field (rest L)))))
This function computes the sum of fields in L. It is equivalent to
(reduce #'+ L :key field)
or (much worse! don't ever do this!)
(apply #'+ (mapcar field L))
Here field is a function which extracts a numeric value from an element of L; funcall is the artifact of Common Lisp being Lisp-2: (funcall field ...) in Scheme (or any other Lisp-1) would look like (field ...).
More specifically; funcall takes its first argument and coerces it into a function; then it calls this function on all its other arguments.