How do I start defining map from fold? - scheme

I'm working through Htdp 2e, and have been given the problem of defining the map function from foldr or foldl. I'm not sure where to start.
Map takes in a function of one argument and a list. So I have defined my
function similarly. Fold requires a function of two arguments, a base, and a list.
My issue is how do I take the one argument function of map and recreate it with a two argument function in fold?
The purpose of the problem is to teach how to create abstractions using higher order functions.
Some push in the right direction would be greatly appreciated
; [X Y] [X -> Y] [List-of-X] -> [List-of-Y]
; consumes a function and a list and applies f
; to each item in the list
(define (map-from-fold f l)
(foldr f base lx))

Think about the main difference between foldr and map:
(map add1 '(1 2 3))
; == (cons (add1 1) (cons (add1 2) (cons (add1 3) '())))
(fold f '() '(1 2 3)
; ==> (f 1 (f 2 (f 3 '())))
Notice that f needs to cons as well as whatever function is added. Thus when you pass f to map the function that is passed to foldr needs to both cons the result of (f element) with the accumulator. Good luck!

Related

How do non-binary foldl and foldr work in Racket?

I'm familiar with the underlying workings and differences of foldl and foldr over a single list. However, in Racket, you can use folds on multiple lists. For example, you can find the difference of elements in two lists by writing
; (mapMinus '(3 4) '(1 2)) => '(2 2)
(define (mapMinus lst0 lst1)
(foldl (λ (hd0 hd1 acc) (cons (- hd0 hd1) acc)) '() lst0 lst1))
How exactly do Racket's implementations of foldl and foldr work to handle multiple lists? The Racket source code for foldl is available on GitHub here, but I don't know Chez Scheme well enough to understand it.
A fold that operates over multiple lists simply applies its lambda element-wise on all of the lists, simultaneously. Perhaps a simplified implementation (with no error checking, etc.) of it will make things clearer; let's compare a standard implementation of foldr (which IMHO is slightly simpler to understand than foldl):
(define (foldr proc init lst)
(if (null? lst)
init
(proc (car lst)
(foldr proc init (cdr lst)))))
With an implementation that accepts multiple lists:
(define (foldr proc init . lst) ; lst is a list of lists
(if (null? (car lst)) ; all lists assumed to be of same length
init
; use apply because proc can have any number of args
(apply proc
; append, list are required for building the parameter list
; in the right way so it can be passed to (apply proc ...)
(append (map car lst)
; use apply again because it's a variadic procedure
(list (apply foldr proc init (map cdr lst)))))))
All the extra code in the multi-list version is for applying proc to multiple elements at the same time, getting the current element of each list (map car lst) and advancing over all the lists (map cdr lst).
Also the implementation needs to take into account that the procedure operates over a variable number of lists, assuming that the provided lambda receives the correct number of arguments (number of input lists + 1). It works as expected:
(foldr (lambda (e1 e2 acc)
(cons (list e1 e2) acc))
'()
'(1 2 3)
'(4 5 6))
=> '((1 4) (2 5) (3 6))
I think what you really are asking is how to create a variadic function in Scheme/Racket. The answer is given at https://docs.racket-lang.org/guide/define.html, but let me just give you a quick example:
(define (foo a b . xs)
(+ a b (length xs)))
would be equivalent to
def foo(a, b, *xs):
return a + b + len(xs)
in Python. xs here is a list value containing the rest of the arguments.
The second piece of puzzle is, how to apply a variadic function with a list value. For that, you can use apply. Read more at https://docs.racket-lang.org/guide/application.html#%28part._apply%29. Again, here's a quick example:
(define (foo a b c) (+ a b c))
(apply foo 1 '(2 3))
;; equivalent to (foo 1 2 3)
would be equivalent to
def foo(a, b, c): return a + b + c
foo(1, *[2, 3]) ;; equivalent to foo(1, 2, 3)
With these, creating a fold that accepts multiple arguments is just a programming exercise:
(define (my-fold proc accum required-first-list . list-of-optional-lists)
... IMPLEMENT FOLD HERE ...)
Note that if you read the source code of Racket (which uses Chez Scheme), you will see that it uses case-lambda instead of defining the function directly. case-lambda is just a way to make the code more efficient for common usage of fold (i.e., a fold with only one list).

Racket: How to write foldl using foldr

I'm currently preparing for an exam and thought that writing foldl with foldr would be a nice question to get tested on.
Anyways, I know that (foldl f base lst) returns (f xn (f x(n-1) . . . (f x1 base)
with the lst being (x1 . . . xn)
So what I currently have is this:
(define (foldl/w/foldr f base lst)
(foldr (lambda (x y) (f y (f x base))) base lst)))
This doesn't quite work, and I am unsure on how to proceed.
Using Haskell's documentation as a starting point (as mentioned by #soegaard in the comments), here's a working solution for this problem, using Racket syntax:
(define (foldl/w/foldr f base lst)
((foldr (λ (ele acc) (λ (x) (acc (f ele x))))
identity
lst)
base))
For example:
(foldl/w/foldr cons '() '(1 2 3 4 5))
=> '(5 4 3 2 1)
(foldl/w/foldr + 0 '(1 2 3 4 5))
=> 15
The key to understand this is that we're accumulating lambdas with delayed computations, not values, and at the end we invoke all the chain of lambdas passing the base value to start the computation. Also notice that the identity procedure is used as the first accumulator, and we accumulate more lambdas on top of it. For instance, this call:
(foldl/w/foldr + 0 '(1 2))
Will be evaluated as follows:
((lambda (x) ; this lambda is the value returned by foldr
((lambda (x)
(identity (+ 1 x))) ; add first element in the list (this gets executed last)
(+ 2 x))) ; add second element in the list (this gets executed first)
0) ; at the end, we invoke the chain of lambdas starting with the base value
=> 3
I am not a Lisp programmer, so this maybe not syntactically perfect, but it will be something like
foldl f a l = (foldr (lambda (h p) (lambda (x) (p (f x h))) )
l
(lambda (x) (x))
a))
The trick is to accumulate function instead of result value. I am applying four arguments to foldr, because in this case regular foldr returns function, that will take "a" as an argument.

contract violation in my implementation of "map"

I'm beginning in Scheme (actually, Racket with DrRacket) and I want to practice by implementing a map function (apply a function to all elements of a list), but there's something wrong that I don't understand.
(I have, aside from my imperative background, a basic knowledge of haskell)
I want to translate the following piece of haskell (Just to show the algorithm) :
map f [] = []
map f x:xs = (f x) : (map f xs)
Here's my code :
(define (map f xs)
(if (= xs '()) '() ; if list is empty, return empty list
(cons (f (car xs)) (map f (cdr xs))))
)
To test it, I used this :
(define (testFunction x) (+ x 1))
(define testList '(1 2 3 4 5))
(map testFunction testList)
And I get the following error :
=: contract violation
expected: number ?
given : '(1 2 3 4 5)
argument position: 1st
other arguments...:
which highlights the predicate (= xs '())
Any tips ?
The = function is specifically for equality between numbers. It has special handling for numeric values by handling comparisons between exact and inexact numbers. In general, though, for non-numeric equality, you should use the equal? predicate:
> (equal? '() '())
#t
In this particular case, as mentioned by Raghav, you can also use empty? or null? to test for the empty list (the empty? predicate is just an alias for null?).
Wow - a few others already beat me to it, but I'll share my answer, anyways.
Your issue stems from your use of = to test list emptiness.
From the = in the docs:
Returns #t if all of the arguments are numerically equal, #f
otherwise.
In order to get your program working, I'd suggest using equal? to test the two lists for equality or, better yet, use empty? or null? to test if xs is an empty list. (I hope you don't take offense, but I've also massaged the code into what's (arguably) more idiomatic Scheme).
(define (mymap f xs)
(if (empty? xs)
xs
(cons
(f (car xs))
(mymap f (cdr xs)))))
(define (test-function x) (+ x 1))
(define test-list (list 1 2 3 4))
(mymap test-function test-list)
If you're using DrRacket, then for that condition, simply use (empty?):
(if (empty? xs)
xs ; because xs is empty
...)

Continuation Passing Style In Common Lisp?

In an effort to find a simple example of CPS which doesn't give me a headache , I came across this Scheme code (Hand typed, so parens may not match) :
(define fact-cps
(lambda(n k)
(cond
((zero? n) (k 1))
(else
(fact-cps (- n 1)
(lambda(v)
(k (* v n))))))))
(define fact
(lambda(n)
(fact-cps n (lambda(v)v)))) ;; (for giggles try (lambda(v)(* v 2)))
(fact 5) => 120
Great, but Scheme isn't Common Lisp, so I took a shot at it:
(defun not-factorial-cps(n k v)
(declare (notinline not-factorial-cps)) ;; needed in clisp to show the trace
(cond
((zerop n) (k v))
((not-factorial-cps (1- n) ((lambda()(setq v (k (* v n))))) v))))
;; so not that simple...
(defun factorial(n)
(not-factorial-cps n (lambda(v)v) 1))
(setf (symbol-function 'k) (lambda(v)v))
(factorial 5) => 120
As you can see, I'm having some problems, so although this works, this has to be wrong. I think all I've accomplished is a convoluted way to do accumulator passing style. So other than going back to the drawing board with this, I had some questions: Where exactly in the Scheme example is the initial value for v coming from? Is it required that lambda expressions only be used? Wouldn't a named function accomplish more since you could maintain the state of each continuation in a data structure which can be manipulated as needed? Is there in particular style/way of continuation passing style in Common Lisp with or without all the macros? Thanks.
The problem with your code is that you call the anonymous function when recurring instead of passing the continuation like in the Scheme example. The Scheme code can easily be made into Common Lisp:
(defun fact-cps (n &optional (k #'values))
(if (zerop n)
(funcall k 1)
(fact-cps (- n 1)
(lambda (v)
(funcall k (* v n))))))
(fact-cps 10) ; ==> 3628800
Since the code didn't use several terms or the implicit progn i switched to if since I think it's slightly more readable. Other than that and the use of funcall because of the LISP-2 nature of Common Lisp it's the identical code to your Scheme version.
Here's an example of something you cannot do tail recursively without either mutation or CPS:
(defun fmapcar (fun lst &optional (k #'values))
(if (not lst)
(funcall k lst)
(let ((r (funcall fun (car lst))))
(fmapcar fun
(cdr lst)
(lambda (x)
(funcall k (cons r x)))))))
(fmapcar #'fact-cps '(0 1 2 3 4 5)) ; ==> (1 1 2 6 24 120)
EDIT
Where exactly in the Scheme example is the initial value for v coming
from?
For every recursion the function makes a function that calls the previous continuation with the value from this iteration with the value from the next iteration, which comes as an argument v. In my fmapcar if you do (fmapcar #'list '(1 2 3)) it turns into
;; base case calls the stacked lambdas with NIL as argument
((lambda (x) ; third iteration
((lambda (x) ; second iteration
((lambda (x) ; first iteration
(values (cons (list 1) x)))
(cons (list 2) x)))
(cons (list 3) x))
NIL)
Now, in the first iteration the continuation is values and we wrap that in a lambda together with consing the first element with the tail that is not computed yet. The next iteration we make another lambda where we call the previous continuation with this iterations consing with the tail that is not computed yet.. At the end we call this function with the empty list and it calls all the nested functions from end to the beginning making the resulting list in the correct order even though the iterations were in oposite order from how you cons a list together.
Is it required that lambda expressions only be used? Wouldn't a named
function accomplish more since you could maintain the state of each
continuation in a data structure which can be manipulated as needed?
I use a named function (values) to start it off, however every iteration of fact-cps has it's own free variable n and k which is unique for that iteration. That is the data structure used and for it to be a named function you'd need to use flet or labels in the very same scope as the anonymous lambda functions are made. Since you are applying previous continuation in your new closure you need to build a new one every time.
Is there in particular style/way of continuation passing style in
Common Lisp with or without all the macros?
It's the same except for the dual namespace. You need to either funcall or apply. Other than that you do it as in any other language.

Scheme create list of pairs using foldr without explicit recursion

I am learning a course of Scheme and have to do the following task. I have to write a function that gets two lists A and B in the same length and returns one list that every item inside is a list of two items - one from A and second from B.
For example the function gets '( 1 2 3) and '(4 5 6) and returns '((1 4)(2 5)(3 6)).
I can do that using map like this:
(define (func lst1 lst2) (map (lambda(x y) (list x y)) lst1 lst2))
But the the question is to do that by foldr and without explicit recursion.
Can anyone please help me? I have no idea how to do that....
Thanks!
The trick is knowing what to pass as a function parameter, here's how:
(define (func l1 l2)
(foldr (lambda (e1 e2 acc)
(cons (list e1 e2) acc))
'()
l1 l2))
Notice that we're passing two lists at the end of foldr, so the lambda expects three parameters: the current element from the first list (e1), the current element from the second list (e2) and the accumulated output (acc), which starts with value '(). The rest is easy, just build the output along using cons and list. It works as expected:
(func '(1 2 3) '(4 5 6))
=> '((1 4) (2 5) (3 6))

Resources