This is extremely easy if I can use an array in imperative language or map (tree-structure) in C++ for example. In scheme, I have no idea how to start this idea? Can anyone help me on this?
Thanks,
Your question wasn't very specific about what's being counted. I will presume you want to create some sort of frequency table of the elements. There are several ways to go about this. (If you're using Racket, scroll down to the bottom for my preferred solution.)
Portable, pure-functional, but verbose and slow
This approach uses an association list (alist) to hold the elements and their counts. For each item in the incoming list, it looks up the item in the alist, and increments the value of it exists, or initialises it to 1 if it doesn't.
(define (bagify lst)
(define (exclude alist key)
(fold (lambda (ass result)
(if (equal? (car ass) key)
result
(cons ass result)))
'() alist))
(fold (lambda (key bag)
(cond ((assoc key bag)
=> (lambda (old)
(let ((new (cons key (+ (cdr old) 1))))
(cons new (exclude bag key)))))
(else (let ((new (cons key 1)))
(cons new bag)))))
'() lst))
The incrementing is the interesting part. In order to be pure-functional, we can't actually change any element of the alist, but instead have to exclude the association being changed, then add that association (with the new value) to the result. For example, if you had the following alist:
((foo . 1) (bar . 2) (baz . 2))
and wanted to add 1 to baz's value, you create a new alist that excludes baz:
((foo . 1) (bar . 2))
then add baz's new value back on:
((baz . 3) (foo . 1) (bar . 2))
The second step is what the exclude function does, and is probably the most complicated part of the function.
Portable, succinct, fast, but non-functional
A much more straightforward way is to use a hash table (from SRFI 69), then update it piecemeal for each element of the list. Since we're updating the hash table directly, it's not pure-functional.
(define (bagify lst)
(let ((ht (make-hash-table)))
(define (process key)
(hash-table-update/default! ht key (lambda (x) (+ x 1)) 0))
(for-each process lst)
(hash-table->alist ht)))
Pure-functional, succinct, fast, but non-portable
This approach uses Racket-specific hash tables (which are different from SRFI 69's ones), which do support a pure-functional workflow. As another benefit, this version is also the most succinct of the three.
(define (bagify lst)
(foldl (lambda (key ht)
(hash-update ht key add1 0))
#hash() lst))
You can even use a for comprehension for this:
(define (bagify lst)
(for/fold ((ht #hash()))
((key (in-list lst)))
(hash-update ht key add1 0)))
This is more a sign of the shortcomings of the portable SRFI 69 hashing library, than any particular failing of Scheme for doing pure-functional tasks. With the right library, this task can be implemented easily and functionally.
In Racket, you could do
(count even? '(1 2 3 4))
But more seriously, doing this with lists in Scheme is much easier that what you mention. A list is either empty, or a pair holding the first item and the rest. Follow that definition in code and you'll get it to "write itself out".
Here's a hint for a start, based on HtDP (which is a good book to go through to learn about these things). Start with just the function "header" -- it should receive a predicate and a list:
(define (count what list)
...)
Add the types for the inputs -- what is some value, and list is a list of stuff:
;; count : Any List -> Int
(define (count what list)
...)
Now, given the type of list, and the definition of list as either an empty list or a pair of two things, we need to check which kind of list it is:
;; count : Any List -> Int
(define (count what list)
(cond [(null? list) ...]
[else ...]))
The first case should be obvious: how many what items are in the empty list?
For the second case, you know that it's a non-empty list, therefore you have two pieces of information: its head (which you get using first or car) and its tail (which you get with rest or cdr):
;; count : Any List -> Int
(define (count what list)
(cond [(null? list) ...]
[else ... (first list) ...
... (rest list) ...]))
All you need now is to figure out how to combine these two pieces of information to get the code. One last bit of information that makes it very straightforward is: since the tail of a (non-empty) list is itself a list, then you can use count to count stuff in it. Therefore, you can further conclude that you should use (count what (rest list)) in there.
In functional programming languages like Scheme you have to think a bit differently and exploit the way lists are being constructed. Instead of iterating over a list by incrementing an index, you go through the list recursively. You can remove the head of the list with car (single element), you can get the tail with cdr (a list itself) and you can glue together a head and its tail with cons. The outline of your function would be like this:
You have to "hand-down" the element you're searching for and the current count to each call of the function
If you hit the empty list, you're done with the list an you can output the result
If the car of the list equals the element you're looking for, call the function recursively with the cdr of the list and the counter + 1
If not, call the function recursively with the cdr of the list and the same counter value as before
In Scheme you generally use association lists as an O(n) poor-man's hashtable/dictionary. The only remaining issue for you would be how to update the associated element.
Related
"Implement unique, which takes in a list s and returns a new list containing the same elements as s with duplicates removed."
scm> (unique '(1 2 1 3 2 3 1))
(1 2 3)
scm> (unique '(a b c a a b b c))
(a b c)
What I've tried so far is:
(define (unique s)
(cond
((null? s) nil)
(else (cons (car s)(filter ?)
This question required to use the built-in filter function. The general format of filter function is (filter predicate lst), and I was stuck on the predicate part. I am thinking it should be a lambda function. Also, what should I do to solve this question recursively?
(filter predicate list) returns a new list obtained by eliminating all the elements of the list that does not satisfy the predicate. So if you get the first element of the list, to eliminate its duplicates, if they exists, you could simply eliminate from the rest of the list all the elements equal to it, something like:
(filter
(lambda (x) (not (eqv? x (first lst)))) ; what to maintain: all the elements different from (first lst)
(rest lst)) ; the list from which to eleminate it
for instance:
(filter (lambda (x) (not (eqv? x 1))) '(2 1 3 2 1 4))
produces (2 3 2 1 4), eliminating all the occurrences of 1.
Then if you cons the first element with the list resulting from the filter, you are sure that there is only a “copy” of that element in the resulting list.
The last step needed to write your function is to repeat recursively this process. In general, when you have to apply a recursive process, you have to find a terminal case, in which the result of the function can be immediately given (as the empty list for lists), and the general case, in which you express the solution assuming that you have already available the function for a “smaller” input (for instance a list with a lesser number of elements).
Consider this definition:
define (unique s)
(if (null? s)
'()
(cons (first s)
(filter
(lambda (x) (not (eq? x (first s))))
(unique (rest s))))))
(rest s) is a list which has shorter than s. So you can apply unique to it and find a list without duplicates. If, from this list, you remove the duplicates of the first element with filter, and then cons this element at the beginning of the result, you have a list without any duplicate.
And this is a possibile solution to your problem.
New to scheme but trying to learn the basics.
Let's say I passed a list in as a parameter and I wanted to multiply each element by -1. Right now I have this:
(define (negative b)
(* (car b) -1 )))
Which returns the first element as -1 * that element
So in this case giving it (negative '(5 1 2 3)) returns -5.
But lets say I want it to return
-5 -1 -2 -3
How would I go about making the rest of the list negative? Using cdr recursively?
Do it recursively.
(define (negative l)
(if (null? l)
'()
(cons (* (car l) -1)
(negative (cdr l)))))
If the list is empty, this just returns an empty list, as the base case.
Otherwise, it calculates -1 * the first element, the negative of the rest of the list, and combines them to produce the result.
The purpose of your exercise may be for you to code up your own map procedure, in which case that's fine. But if not, use scheme's built in 'map' procedure which is intended for just this kind of purpose.
'map' has been available at least since R4RS (that is, a long time ago) and possibly earlier.
by using map. If you want it returned as list.
It would be like this
(define negative
(lambda (b)
(map - b)))
Map is going through list b, and apply procedure "-" to each number in list
If you want to return as single numbers not in list you apply values on the list.
(define negative1
(lambda (b)
(apply values (map - b))))
Edit: I saw that you are asking for recursive solution, which would go like this
(define negative1
(lambda (b)
(if (null? b)
'()
(cons (- (car b)) (negative1 (cdr b))))))
How can I write a function using abstract list functions (foldr, map, and filter) without recursion that consumes a list of numbers (list a1 a2 a3 ...) and produces a new list removing the minimum number from the original list?
The recursion code is:
(define (find-min lst)
(cond
[(empty? (rest lst)) (first lst)]
[else
(local [(define min-rest (find-min (rest lst)))]
(cond
[(< (first lst) min-rest) (first lst)]
[else min-rest]))]))
A fold applies a 2-argument function against a given value and the car of a list uses the result against the successive cars or the cdrs or the list. this is what we want.
Whereas map returns a new list by doing something with each element of a list.
And filter returns a smaller or equal list based on some predicate.
Now just to formulate a function that can choose the lessor of two arguments
(define (the-lessor x y)
(if (< x y)
x
y))
From there implementation is straightforward.
(define (min L) (fold the-lessor (car L) (cdr L)))
Since this looks like a homework question, I'm not going to provide all the code, but hopefully push you in the right direction.
From the HTDP book, we see that "The Intermediate Student language adds local bindings and higher-order functions." The trick here is probably going to using "local bindings".
Some assumptions:
(remove-min-from-list '()) => not allowed: input list must be non-empty
(remove-min-from-list '(1)) => '()
(remove-min-from-list '(1 2 3 1 2 3)) => '(2 3 2 3) ; all instances of 1 were removed
Somehow, we need to find the minimum value of the list. Call this function min-of-list. What are its inputs and outputs? It's input is a list of numbers and its output is a number. Of the abstract list functions, which ones allow us to turn a list of numbers into a number? (And not another list.) This looks like foldl/foldr to me.
(define (min-of-list lst)
(foldr some-function some-base lst))
Since you already showed that you could write min-of-list recursively, let's move on. See #WorBlux's answer for hints there.
How would we use this in our next function remove-min-from-list? What are the inputs and outputs of remove-min-from-list? It takes a list of numbers and returns a list of numbers. Okay, that looks like map or filter. However, the input list is potentially shorter than that output list, so filter and not map.
(define (remove-min-from-list lst)
....
(filter some-predicate list))
What does some-predicate look like? It needs to return #f for the minimum value of the list.
Let's pull this all together and use local to write one function:
(define (remove-min-from-list lst)
(local [(define min-value ...)
(define (should-stay-in-list? number) ...min-value ...)]
(filter should-stay-in-list? lst)))
The key here, is that the definition for should-stay-in-list? can refer to min-value because min-value came before it in the local definitions block and that the filter later on can use should-stay-in-list? because it is in the body of the local.
(define (comparator n) (local [(define (compare v) (not (equal? v n)))] compare))
(define (without-min list) (filter (comparator (foldr min (foldr max 0 list) list)) list))
I need to write a good set function that checks whether its argument lst is a properly represented set, i.e. it is a list consisting only of integers, with no duplicates, and returns true #t or false #f. For example:
(good-set? (1 5 2)) => #t
(good-set? ()) => #t
(good-set? (1 5 5)) => #f
(good-set? (1 (5) 2)) => #f
so I have began writing the function as:
(define (good-set? lst)
so I don't know how to proceed after this. Can anybody help?
One option would be to use andmap and sets, as has been suggested by #soegaard:
(define (good-set? lst) ; it's a good set if:
(and (andmap integer? lst) ; all its elements are integers and
(= (length lst) ; the list's length equals the size
(set-count (list->set lst))))) ; of a set with the same elements
But if you can't use sets or other advanced procedures, then traverse the list and test if the current element is an integer and is not present somewhere else in the list (use member for this), repeating this test for each element until there are no more elements in the list. Here's the general idea, fill-in the blanks:
(define (good-set? lst)
(cond (<???> ; if the list is empty
<???>) ; then it's a good set
((or <???> ; if the 1st element is not an integer or
<???>) ; the 1st element is in the rest of the list
<???>) ; then it's NOT a good set
(else ; otherwise
(good-set? <???>)))) ; advance recursion
Sets are built into the Racket standard library: I would recommend not reimplementing them in terms of lists unless you really need to do something customized.
If we need to treat this as a homework assignment, I would recommend using a design methodology to systematically attack this problem. In this case, see something like How to Design Programs with regards to designing functions that work on lists. As a brief sketch, we'd systematically figure out:
What's the structure of the data I'm working with?
What tests cases do I consider? (including the base case)
What's the overall shape of the function?
What's the meaning of the natural recursion?
How do I combine the result of the natural recursion in order to compute a solution to the total?
For this, check if the first number is duplicated, if it is not, then recurse by checking the rest. As such:
(define (good-set? list)
(or (null? list) ; nothing left, good!
(let ((head (car list)))
(rest (cdr list)))
(and (number? head) ; a number
(not (member = head rest)) ; not in the rest
(good-set? rest))))) ; check the rest
If you need member, then
(define (member pred item list)
(and (not (null? list))
(or (pred item (car list))
(member pred item (cdr list)))))
This is extremely easy if I can use an array in imperative language or map (tree-structure) in C++ for example. In scheme, I have no idea how to start this idea? Can anyone help me on this?
Thanks,
Your question wasn't very specific about what's being counted. I will presume you want to create some sort of frequency table of the elements. There are several ways to go about this. (If you're using Racket, scroll down to the bottom for my preferred solution.)
Portable, pure-functional, but verbose and slow
This approach uses an association list (alist) to hold the elements and their counts. For each item in the incoming list, it looks up the item in the alist, and increments the value of it exists, or initialises it to 1 if it doesn't.
(define (bagify lst)
(define (exclude alist key)
(fold (lambda (ass result)
(if (equal? (car ass) key)
result
(cons ass result)))
'() alist))
(fold (lambda (key bag)
(cond ((assoc key bag)
=> (lambda (old)
(let ((new (cons key (+ (cdr old) 1))))
(cons new (exclude bag key)))))
(else (let ((new (cons key 1)))
(cons new bag)))))
'() lst))
The incrementing is the interesting part. In order to be pure-functional, we can't actually change any element of the alist, but instead have to exclude the association being changed, then add that association (with the new value) to the result. For example, if you had the following alist:
((foo . 1) (bar . 2) (baz . 2))
and wanted to add 1 to baz's value, you create a new alist that excludes baz:
((foo . 1) (bar . 2))
then add baz's new value back on:
((baz . 3) (foo . 1) (bar . 2))
The second step is what the exclude function does, and is probably the most complicated part of the function.
Portable, succinct, fast, but non-functional
A much more straightforward way is to use a hash table (from SRFI 69), then update it piecemeal for each element of the list. Since we're updating the hash table directly, it's not pure-functional.
(define (bagify lst)
(let ((ht (make-hash-table)))
(define (process key)
(hash-table-update/default! ht key (lambda (x) (+ x 1)) 0))
(for-each process lst)
(hash-table->alist ht)))
Pure-functional, succinct, fast, but non-portable
This approach uses Racket-specific hash tables (which are different from SRFI 69's ones), which do support a pure-functional workflow. As another benefit, this version is also the most succinct of the three.
(define (bagify lst)
(foldl (lambda (key ht)
(hash-update ht key add1 0))
#hash() lst))
You can even use a for comprehension for this:
(define (bagify lst)
(for/fold ((ht #hash()))
((key (in-list lst)))
(hash-update ht key add1 0)))
This is more a sign of the shortcomings of the portable SRFI 69 hashing library, than any particular failing of Scheme for doing pure-functional tasks. With the right library, this task can be implemented easily and functionally.
In Racket, you could do
(count even? '(1 2 3 4))
But more seriously, doing this with lists in Scheme is much easier that what you mention. A list is either empty, or a pair holding the first item and the rest. Follow that definition in code and you'll get it to "write itself out".
Here's a hint for a start, based on HtDP (which is a good book to go through to learn about these things). Start with just the function "header" -- it should receive a predicate and a list:
(define (count what list)
...)
Add the types for the inputs -- what is some value, and list is a list of stuff:
;; count : Any List -> Int
(define (count what list)
...)
Now, given the type of list, and the definition of list as either an empty list or a pair of two things, we need to check which kind of list it is:
;; count : Any List -> Int
(define (count what list)
(cond [(null? list) ...]
[else ...]))
The first case should be obvious: how many what items are in the empty list?
For the second case, you know that it's a non-empty list, therefore you have two pieces of information: its head (which you get using first or car) and its tail (which you get with rest or cdr):
;; count : Any List -> Int
(define (count what list)
(cond [(null? list) ...]
[else ... (first list) ...
... (rest list) ...]))
All you need now is to figure out how to combine these two pieces of information to get the code. One last bit of information that makes it very straightforward is: since the tail of a (non-empty) list is itself a list, then you can use count to count stuff in it. Therefore, you can further conclude that you should use (count what (rest list)) in there.
In functional programming languages like Scheme you have to think a bit differently and exploit the way lists are being constructed. Instead of iterating over a list by incrementing an index, you go through the list recursively. You can remove the head of the list with car (single element), you can get the tail with cdr (a list itself) and you can glue together a head and its tail with cons. The outline of your function would be like this:
You have to "hand-down" the element you're searching for and the current count to each call of the function
If you hit the empty list, you're done with the list an you can output the result
If the car of the list equals the element you're looking for, call the function recursively with the cdr of the list and the counter + 1
If not, call the function recursively with the cdr of the list and the same counter value as before
In Scheme you generally use association lists as an O(n) poor-man's hashtable/dictionary. The only remaining issue for you would be how to update the associated element.