Scheme filter but the result list contains indices not values - scheme

Is there any easy way to create a kind of filter with the outcome the indices instead of values?
for example:
'(#true #false #true) -> '(0 2)

You can create a custom filter procedure that returns a list of indices for elements of a list where a predicate produces a true value, as such:
(define (filtr pred lst)
(for/list ([i lst]
[n (in-naturals)]
#:when (pred i))
n))
For example,
> (filtr number? '(1 2 3 a b c 8 d 19 e f))
'(0 1 2 6 8)
> (filtr (lambda (x) (and x)) '(#true #false #true))
'(0 2)

Of course there is a way to do it; there's many ways to do it. Here's one way.
(define (func xs)
(let loop ((index 0) (xs xs))
(cond ((empty? xs) empty)
((car xs) (cons index (loop (add1 index) (cdr xs))))
(else (loop (add1 index) (cdr xs))))))
(func '(#true #false #true #false #false #true #true))
;; => '(0 2 5 6)

Racket has a function for this (Not sure if it was present when this question was asked) - indexes-where, in racket/list.
Example:
> (indexes-where '(1 2 0 3 0 4) zero?)
'(2 4)

Related

Scheme - Recursively Adding up Numbers inside a list of list of list of etc

I am encountering a issue that I need to add up the second number of each list. For example, suppose I have a list of lists like below,
(list (list -4
(list (list -1 4) (list 1 7)))
(list 1 (list (list -2 5) (list 3 3)))
(list 3 12))
Then my job is to add up 4 + 7 + 5 + 3 + 12 = 31. However, the list can have multiple sub lists. But the second item inside a list can either be a number or a list. If it is a list, then we need to dig deeper into this list until we get a number.
Thanks!
Solution
(define (atom? x)
(and (not (null? x))
(not (pair? x))))
(define (my-and x y)
(and x y))
(define (every? l)
(foldr my-and #t l))
(define (flat-list? l)
(cond ((null? l) #t)
((every? (map atom? l)) #t)
(else #f)))
(define (add-only-seconds l)
(define (l-sec-add l acc)
(cond ((null? l) acc)
((atom? l) acc)
((flat-list? l) (+ (second l) acc))
((list? l) (apply + acc (map (lambda (x) (l-sec-add x 0)) l)))))
(l-sec-add l 0))
Example test
(define example-list (list (list -4
(list (list -1 4) (list 1 7)))
(list 1 (list (list -2 5) (list 3 3)))
(list 3 12)))
(add-only-seconds example-list) ;; 31
I used common-lisp-typical functions atom? and every?.
Since and cannot be used in foldr, I defined my-add to make add a function which can be used infoldr`.

writing filter function using foldr?

Currently trying to write a filter function that takes a list of procedures and a list of numbers, deletes the procedures that does not return true on every element of the list of numbers.
What I have done is the following, currently taking a single procedure and runs through the list to create a list stating whether the procedure is true or false for each element.
Using foldr, or map if required (non recursive)
(define (my-filter ps xs)
(foldr (λ (x y)
(cons (ps x) y)) '() xs))
How do I delete the procedure if it has at lease one #f?
i.e.
currently
> (my-filter even? '(1 2 3 4))
(#f #t #f #t)
> (my-filter even? (2 4))
(#t #t)
want
> (my-filter (list even?) '(1 2 3 4))
(list)
> (my-filter (list even?) '(2 4))
(list even?)
You can solve this by using Racket's built-in andmap procedure, which tests if a condition is true for all elements in a list - like this:
(define (my-filter ps xs)
(foldr (lambda (f acc)
(if (andmap f xs) ; if `f` is true for all elements in `xs`
(cons f acc) ; then add `f` to the accumulated output
acc)) ; otherwise leave the accumulator alone
'() ; initially the accumulator is an empty list
ps)) ; iterate over the list of functions
Notice that we do not "delete" functions from the output list, instead at each step we decide whether or not we should add them to the output list.
The advantage of foldr is that it preserves the same order as the input list, if that's not a requirement, foldl is more efficient because internally it uses tail recursion. Either way, it works as expected:
(my-filter (list even?) '(1 2 3 4))
=> '()
(my-filter (list even?) '(2 4))
=> '(#<procedure:even?>)
Start with some wishful thinking. Say we have a know of knowing if all xs return #t for any given f
(define (my-filter fs xs)
(foldr (λ (f y)
(if (every? f xs)
(cons f y)
y))
'()
fs))
Now let's define every?
(define (every? f xs)
(cond [(null? xs) #t]
[(f (car xs)) (every? f (cdr xs))]
[else #f]))
Let's check it out for (list even?)
(my-filter (list even?) '(1 2 3 4)) ; ⇒ '()
(my-filter (list even?) '(2 4)) ; ⇒ '(#<procedure:even?>)
Let's add another test in the mix
(define (gt3? x) (> x 3))
(my-filter (list even? gt3?) '(2 4)) ; ⇒ '(#<procedure:even?>)
(my-filter (list even? gt3?) '(4 6)) ; ⇒ '(#<procedure:even?> #<procedure:gt3?>)
Cool !
If you want to see "pretty" procedure names instead of the #<procedure:...> stuff, you can map object-name over the resulting array
(map object-name (my-filter (list even? gt3?) '(4 6))) ; ⇒ '(even? gt3?)
Even though foldl will give you a reversed output, I still think it would be better to use foldl in this case. Just my 2 cents.

(Scheme) How do I add 2 lists together that are different sizes

I'm completely new to scheme and I'm having trouble trying to add 2 lists of different sizes. I was wondering how do I add 2 lists of different sizes together correctly. In my code I compared the values and append '(0) to the shorter list so that they can get equal sizes, but even after doing that I can not use map to add the 2 lists. I get an error code after running the program. The results I should be getting is '(2 4 5 4). Could anyone help me out? Thanks.
#lang racket
(define (add lst1 lst2)
(cond [(< (length lst1) (length lst2)) (cons (append lst1 '(0)))]
[else lst1])
(cond
((and (null? lst1)(null? lst2)) null)
(else
(map + lst1 lst2))))
;;Result should be '(2 4 6 4)
(add '(1 2 3) '(1 2 3 4))
ERROR:
cons: arity mismatch;
the expected number of arguments does not match the given number
expected: 2
given: 1
arguments...:
'(1 2 3 0)
The problem with your code is that there are two cond expressions one after the other - both will execute, but only the result of the second one will be returned - in other words, the code is not doing what you think it's doing. Now, to solve this problem it'll be easier if we split the solution in two parts (in general, that's a good strategy!). Try this:
(define (fill-zeroes lst n)
(append lst (make-list (abs n) 0)))
(define (add lst1 lst2)
(let ((diff (- (length lst1) (length lst2))))
(cond [(< diff 0)
(map + (fill-zeroes lst1 diff) lst2)]
[(> diff 0)
(map + lst1 (fill-zeroes lst2 diff))]
[else (map + lst1 lst2)])))
Explanation:
The fill-zeroes procedure takes care of filling the tail of a list with a given number of zeroes
The add procedure is in charge of determining which list needs to be filled, and when both lists have the right size performs the actual addition
It works as expected for any combination of list lengths:
(add '(1 2 3 4) '(1 2 3))
=> '(2 4 6 4)
(add '(1 2 3) '(1 2 3 4))
=> '(2 4 6 4)
(add '(1 2 3 0) '(1 2 3 4))
=> '(2 4 6 4)
Similar to Oscar's, slighty shorter:
(define (fill0 lst len)
(append lst (make-list (- len (length lst)) 0)))
(define (add lst1 lst2)
(let ((maxlen (max (length lst1) (length lst2))))
(map + (fill0 lst1 maxlen) (fill0 lst2 maxlen))))
or, for fun, the other way round:
(define (add lst1 lst2)
(let ((minlen (min (length lst1) (length lst2))))
(append
(map + (take lst1 minlen) (take lst2 minlen))
(drop lst1 minlen)
(drop lst2 minlen))))
There's no need to pre-compute the lengths of the lists and add zeroes to the end of one or the other of the lists. Here we solve the problem with a simple recursion:
(define (add xs ys)
(cond ((and (pair? xs) (pair? ys))
(cons (+ (car xs) (car ys)) (add (cdr xs) (cdr ys))))
((pair? xs) (cons (car xs) (add (cdr xs) ys)))
((pair? ys) (cons (car ys) (add xs (cdr ys))))
(else '())))
That works for all of Oscar's tests:
> (add '(1 2 3 4) '(1 2 3))
(2 4 6 4)
> (add '(1 2 3) '(1 2 3 4))
(2 4 6 4)
> (add '(1 2 3 0) '(1 2 3 4))
(2 4 6 4)
If you like, you can write that using a named-let and get the same results:
(define (add xs ys)
(let loop ((xs xs) (ys ys) (zs '()))
(cond ((and (pair? xs) (pair? ys))
(loop (cdr xs) (cdr ys) (cons (+ (car xs) (car ys)) zs)))
((pair? xs) (loop (cdr xs) ys (cons (car xs) zs)))
((pair? ys) (loop xs (cdr ys) (cons (car ys) zs)))
(else (reverse zs)))))
Have fun!
A yet simpler version.
(define (add x y)
(cond ((and (pair? x) (pair? y))
(cons (+ (car x) (car y))
(add (cdr x) (cdr y))))
((pair? x) x)
(else y)))

List of lengths from list of strings using map, filter, or fold-right

You are given a list of strings.
Generate a procedure such that applying this procedure to such a list
would result in a list of the lengths of each of the strings in the
input.
Use map, filter, or fold-right.
(lengths (list "This" "is" "not" "fun")) => (4 2 3 3)
(define lengths (lambda (lst) your_code_here))
I got stuck in the following code and I do not understand how can I use filter.
(define lengths
(lambda (lst)
(if (null? lst)
nil
(fold-right list (string-length (car lst)) (cdr lst)))))
This seems like a work for map, you just have to pass the right procedure as a parameter:
(define (lengths lst)
(map string-length lst))
As you should know, map applies a procedure to each of the elements in the input list, returning a new list collecting the results. If we're interested in building a list with the lengths of strings, then we call string-length on each element. The procedure pretty much writes itself!
A word of advice: read the documentation of the procedures you're being asked to use, the code you're writing is overly complicated. This was clearly not a job for filter, although fold-right could have been used, too. Just remember: let the higher-order procedure take care of the iteration, you don't have to do it explicitly:
(define (lengths lst)
(fold-right (lambda (x a)
(cons (string-length x) a))
'()
lst))
This looks like homework so I'll only give you pointers:
map takes a procedure and applies to to every element of a list. Thus
(define (is-strings lst)
(map string? lst))
(is-strings '("hello" 5 sym "89")) ; (#t #f #f #t)
(define (add-two lst)
(map (lambda (x) (+ x 2)) lst))
(add-two '(3 4 5 6)) ; ==> (5 6 7 8)
filter takes procedure that acts as a predicate. If #f the element is omitted, else the element is in the resulting list.
(define (filter-strings lst)
(filter string? lst))
(filter-strings '(3 5 "hey" test "you")) ; ==> ("hey" "you")
fold-right takes an initial value and a procedure that takes an accumulated value and a element and supposed to generate a new value:
(fold-right + 0 '(3 4 5 6)) ; ==> 18, since its (+ 3 (+ 4 (+ 5 (+ 6 0))))
(fold-right cons '() '(a b c d)) ; ==> (a b c d) since its (cons a (cons b (cons c (cons d '()))))
(fold-right - 0 '(1 2 3)) ; ==> -2 since its (- 1 (- 2 (- 3 0)))
(fold-right (lambda (e1 acc) (if (<= acc e1) acc e1)) +Inf.0 '(7 6 2 3)) ; ==> 2
fold-right has a left handed brother that is iterative and faster, though for list processing it would reverse the order after processing..
(fold-left (lambda (acc e1) (cons e1 acc)) '() '(1 2 3 4)) ; ==> (4 3 2 1)

How to use append-map in Racket (Scheme)

I don't fully understand what the append-map command does in racket, nor do I understand how to use it and I'm having a pretty hard time finding some decently understandable documentation online for it. Could someone possibly demonstrate what exactly the command does and how it works?
The append-map procedure is useful for creating a single list out of a list of sublists after applying a procedure to each sublist. In other words, this code:
(append-map proc lst)
... Is semantically equivalent to this:
(apply append (map proc lst))
... Or this:
(append* (map proc lst))
The applying-append-to-a-list-of-sublists idiom is sometimes known as flattening a list of sublists. Let's look at some examples, this one is right here in the documentation:
(append-map vector->list '(#(1) #(2 3) #(4)))
'(1 2 3 4)
For a more interesting example, take a look at this code from Rosetta Code for finding all permutations of a list:
(define (insert l n e)
(if (= 0 n)
(cons e l)
(cons (car l)
(insert (cdr l) (- n 1) e))))
(define (seq start end)
(if (= start end)
(list end)
(cons start (seq (+ start 1) end))))
(define (permute l)
(if (null? l)
'(())
(apply append (map (lambda (p)
(map (lambda (n)
(insert p n (car l)))
(seq 0 (length p))))
(permute (cdr l))))))
The last procedure can be expressed more concisely by using append-map:
(define (permute l)
(if (null? l)
'(())
(append-map (lambda (p)
(map (lambda (n)
(insert p n (car l)))
(seq 0 (length p))))
(permute (cdr l)))))
Either way, the result is as expected:
(permute '(1 2 3))
=> '((1 2 3) (2 1 3) (2 3 1) (1 3 2) (3 1 2) (3 2 1))
In Common Lisp, the function is named "mapcan" and it is sometimes used to combine filtering with mapping:
* (mapcan (lambda (n) (if (oddp n) (list (* n n)) '()))
'(0 1 2 3 4 5 6 7))
(1 9 25 49)
In Racket that would be:
> (append-map (lambda (n) (if (odd? n) (list (* n n)) '()))
(range 8))
'(1 9 25 49)
But it's better to do it this way:
> (filter-map (lambda (n) (and (odd? n) (* n n))) (range 8))
'(1 9 25 49)

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