Understanding parentheticals on let - scheme

I'm having a hard time understanding the syntax of let vs some of the other statements. For example, a "normal" statement has one parentheses:
(+ 2 2)
$2 = 4
Yet the let statement has two:
(let ((x 2)) (+ x 2))
$3 = 4
Why is this so? I find it quite confusing to remember how many parentheses to put around various items.

Firstly, note that let syntax contains two parts, both of which can have zero or more elements. It binds zero or more variables, and evaluates zero or more forms.
All such Lisp forms create a problem: if the elements are represented as a flat list, there is an ambiguity: we don't know where one list ends and the other begins!
(let <var0> <var1> ... <form0> <form1> ...)
For instance, suppose we had this:
(let (a 1) (b 2) (print a) (list b))
What is (print a): is that the variable print being bound to a? Or is it form0 to be evaluated?
Therefore, Lisp constructs like this are almost always designed in such a way that one of the two lists is a single object, or possibly both. In other words: one of these possibilities:
(let <var0> <var1> ... (<form0> <form1> ...))
(let (<var0> <var1> ...) (<form0> <form1> ...))
(let (<var0> <var1> ...) <form0> <form1> ...)
Traditional Lisp has followed the third idea above in the design of let. That idea has the benefit that the pieces of the form are easily and efficiently accessed in an interpreter, compiler or any code that processes code. Given an object L representing let syntax, the variables are easily retrieved as (cadr L) and the body forms as (cddr L).
Now, within this design choice, there is still a bit of design freedom. The variables could follow a structure similar to a property list:
(let (a 1 b 2 c 3) ...)
or they could be enclosed:
(let ((a 1) (b 2) (c 3)) ...)
The second form is traditional. In the Arc dialect of Lisp designed Paul Graham, the former syntax appears.
The traditional form has more parentheses. However, it allows the initialization forms to be omitted: So that is to say if the initial value of a variable is desired to be nil, instead of writing (a nil), you can just write a:
;; These two are equivalent:
(let ((a nil) (b nil) (c)) ...)
(let (a b c) ...)
This is a useful shorthand in the context of a traditional Lisp which uses the symbol nil for the Boolean false and for the empty list. We have compactly defined three variables that are either empty lists or false Booleans by default.
Basically, we can regard the traditional let as being primarily designed to bind a simple list of variables as in (let (a b c) ...) which default to nil. Then, this syntax is extended to support initial values, by optionally replacing a variable var with a (var init) pair, where init is an expression evaluated to specify its initial value.
In any case, thanks to macros, you can have any binding syntax you want. In more than one program I have seen a let1 macro which binds just one variable, and has no parentheses. It is used like this:
(let1 x 2 (+ x 2)) -> 4
In Common Lisp, we can define let1 very easily like this:
(defmacro let1 (var init &rest body)
`(let ((,var ,init)) ,#body))
If we restrict let1 to have a one-form body, we can then write the expression with obsessively few parentheses;
(let1 x 2 + x 2) -> 4
That one is:
(defmacro let1 (var init &rest form)
`(let ((,var ,init)) (,#form)))

Remember that let allows you to bind multiple variables. Each variable binding is of the form (variable value), and you collect all the bindings into a list. So the general form looks like
(let ((var1 value1)
(var2 value2)
(var3 value3)
...)
body)
That's why there are two parentheses around x 2 -- the inner parentheses are for that specific binding, the outer parentheses are for the list of all bindings. It's only confusing because you're only binding one variable, it becomes clearer with multiple variables.

Related

How to create a lambda procedures?

I need to complete an assignment for my college course using Scheme. I've never coded in Scheme before so I have no clue what I'm doing. Our assignment is to define an anonymous function that computes the discriminant of a quadratic function. I keep running into the error: "Invalid `define'. Any help would be appreciated.
(define roots (lambda(abc))(
(lambda(discriminant))(
list(/(+(-b) discriminant)(*2a))
(/(-(-b) discriminant)(*2a))
)
(sqrt - (*bb)(*4ac))
)
First, you should learn a bit about what Scheme code looks like; find some example code (in your textbook, or online, or in answers here on SO) and notice how parentheses and whitespace are used. Then emulate that. You can't arbitrarily place parentheses or arbitrarily remove whitespace in Scheme (or in any Lisp).
For example, in the posted code (-b) gets two things wrong. First, -b is treated as one symbol, not as the negation of the value of b. Further, placing the symbol in parentheses indicates a procedure call; given an s-expression (f x), f is either a syntactic keyword (in which case (f x) is interpreted as a macro call), or (f x) is interpreted as a procedure call. If it is a procedure call and f is not bound to a procedure, then an exception is raised. So (-b) attempts to call a procedure named -b, which does not exist (unless you have defined it), raising an exception. You can use (- b), with a space between the - procedure and the symbol b; this evaluates to the negation of the value of b.
Similarly, *2a is interpreted as a symbol, not an expression; placing the *2a between parentheses is interpreted as a procedure call. The interpreter (or compiler) is expecting that *2a is a procedure which takes no arguments. You need to add the spaces: (* 2 a); this is interpreted as a call to the procedure * with the arguments 2 and a.
(*bb) and (*4ac) have exactly the same problems. The second case is interesting because when it is correctly written it illustrates one of the advantages of prefix notation. Since * is associative, it does not matter what order multiple values are multiplied in. To express naively 4 * a * c in prefix notation you could write (* 4 (* a c)), explicitly ordering the multiplications. You could also write this as (* (* 4 a) c), multiplying in a different order. It does not matter what order you multiply in, so you might as well just write (* 4 a c), so long as your language supports this notation. It turns out that Scheme and other Lisps do support this notation.
Another problem with s-expression notation in the posted code (after fixing the problems noted above): (sqrt - (* b b) (* 4 a c)). This is attempting to call the sqrt procedure on the arguments -, (* b b), and (* 4 a c). But sqrt is not a higher-order procedure (i.e., it does not take procedures as arguments), and it in fact only takes one argument. It was meant to apply the - procedure to the arguments (* b b) and (* 4 a c), subtracting them before taking the square root: (sqrt (- (* b b) (* 4 a c))).
The first lambda expression has a formal parameter list containing only one parameter: abc. As before, this is a mistake. The intention was to define three parameters: don't skimp on spaces: (lambda (a b c)).
The other significant problem is that there are syntax errors in the lambda expressions: (lambda (a b c)) has no body, but a lambda expression must have at least one expression in its body. This was probably intended to wrap the lambda expression which follows. Similarly, the inner lambda expression is missing its body. It was probably intended to wrap the (list ;;...) form that follows.
With that done, the inner lambda expression is itself inside of a pair of parentheses, taking the expression (sqrt (- (* b b) (* 4 a c))) as its argument. This is the lambda form of a let binding. Thus, the inner lambda takes one argument, discriminant, and evaluates the list form that is its body. Since the inner lambda expression itself occurs in the first position of an s-expression, it is part of a procedure call, and this inner anonymous procedure is then called on its argument, binding discriminant to the value obtained by evaluating that argument, which is (sqrt (- (* b b) (* 4 a c))). This all occurs inside of the outer lambda, which takes the three arguments a, b, and c. So, root is a function taking three arguments, and returning a list of roots, after binding the result of the discriminant calculation to discriminant (as a way of both simplifying the expression of the roots and ensuring that the discriminant need only be calculated one time).
Here is the fixed-up code. Note that I only added some spaces and added or moved a few parentheses; nothing else was changed:
(define roots
(lambda (a b c)
((lambda (discriminant)
(list (/ (+ (- b) discriminant) (* 2 a))
(/ (- (- b) discriminant) (* 2 a))))
(sqrt (- (* b b) (* 4 a c))))))
Pay attention to what this looks like. In Lisps you should almost never leave parentheses hanging on lines by themselves, and you should always place a space between arguments. Remember that everything is a procedure call.
Here is a sample interaction. Notice that you can represent negative numbers as -1 instead of (- 1) (you can do either if you wish). You just can't express a negative value using a variable as -b.
> (roots 1 0 -1)
(1 -1)
> (roots 1 8 15)
(-3 -5)

Is there normal "set" function (not special form) in Scheme language?

Is there normal "set" function (not special form) in Scheme language or some way to implement it?
I'd like to write code something like:
(map (lambda (var)
(set var 0))
'(a b c))
which could assign a value (here it is '0') to variables from list (here they are 'a', 'b' and 'c').
No. And to see why there isn't consider something like this:
(define (mutant var val)
(let ((x 1))
(set var val)
x))
Now, what should (mutant 'x 3) return? If it should return 3, then:
set can't be a function since it needs access to the lexical environment of mutant;
any kind of reasonable compilation of this function is not possible.
If you want set to be a function then catastrophe follows. Consider this definition:
(define (mutant-horror f)
(let ([x 3])
(f)
x))
Now, you would think that this can be optimised to this:
(define (mutant-horror f)
(f)
3)
But it can't. Because you might call it like this:
(mutant-horror (λ () (set 'x 3)))
or, more generally, you might call it with a function which, somewhere eventually in some function called indirectly from it might end up saying (set 'x 3).
This means that no binding can ever be optimised at all, which is a disaster. It's also at least very close to meaning lexical scope is not possible: if as well as set, a function called get exists, which retrieves the binding of a symbol, then you have, essentially, dynamic scope. That in turn makes things like tail-call elimination at least difficult and probably impossible (in fact set probably does this on its own).
Reasons like this are why even very old Lisps, where things like set did exist and did superficially work, actually made special exemptions for compiled code, where set didn't work (see for instance the Lisp 1.5 programmer's manual (PDF link), appendix D. This divergence between the semantics of compiled and interpreted code is one of the things that later Lisps and Lisp-related languages such as CL and Scheme did away with.
If instead you want something like Common Lisp's semantics, where the equivalent thing
(defun mutant (var val)
(let ((x 1))
(set var val)
x))
Would return 1 (unless x was a globally (see below) special variable, in which case it might return something else) and as a side-effect modify the value cell of whatever symbol was named by var (which might be x), then, well, Scheme has no notion of that at all, and that's a good thing on the whole.
Note that a modified version of the function will also work for locally special variables:
(defun mutant/local-special (a b)
(let ((x 1))
(declare (special x))
(set a b)
x))
But in this case you always know there's a special binding happening because you can always see the declaration.
When you write something like
(map (lambda (var)
(set var 0))
'(a b c))
my first thought was that you try to accumulate unordered sets of the form ( (a 0) (b 0) (c 0) ).
You cannot implement your own setter for any of the internal data structures that are provided by the language as this would mean to write a scheme function to modify some data structures that is implemented in C. For the data structures implemented in C you need to provide setters written in C -- supposing the lower language is C.
If you want to implement your own setter you either
-- check how the data structure in implmented, and if it's implemented in scheme you will undestand how to modify it
-- define your own data structure using already existing data structures and define setters for it.
A setter that mutates the data structure contains a ! at the end of its name, such as set!, append!, etc.
A function call just evaluates a series of instructions in an extended environment, the environment in particular is that of definition extended with its function parameters, this is prety much the case in any language...
If you do this:
(define (my-set var val)
(set! var val))
you will bind the value of val to var, but only within the scope of the current call on my-set. The reason you cannot write such function has to do with the nature of scheme itself, var is a pointer to whatever you pass in the function, but set! will make this pointer point to something else (still within the scope of my-set). my-set could work if we had some sort of mechanism of using actual pointers, as some low lever languages allow. But scheme does not...
Note that scheme goes very well with the functional programming style as well as recursion, so if you have a need for a function as you described, you are probably "doing something wrong"... :)
You can, however, do this:
(define my-list (list 1 2 3))
(define (my-set a-list a-value)
(set-car! my-list a-value))
> (my-set my-list 4)
> my-list
(4 2 3)
this works since a-list is a pointer to a cons-cell, set-car! will modify the contents of a cons-cell, but not affect the pointer to which.

case and quotation in scheme & racket

I was a bit surprised by this racket code printing nay when I expected yeah:
(define five 5)
(case 5
[(five) "yeah"]
[else "nay"])
Looking at the racket documentation for case makes it clearer:
The selected clause is the first one with a datum whose quoted form is equal? to the result of val-expr.
So it's about quotation. I'm pretty sure that I did not yet fully grasp what quotation in lisps can buy me. I understand it in the viewpoint of macros and AST transformation. However I'm confused why is it helpful in the case of case for instance..?
I'm also curious, with this specification of case, can I use it to achieve what I wanted to (compare the actual values, not the quoted value), or should I use another construct for that? (cond, while strictly more powerful, is more verbose for simple cases, since you must repeat the predicate at each condition).
The problem is that case introduces implicit quote forms, which cause your example to work for 'five (whose value is 'five), instead of five (whose value is 5).
I almost never use case because of exactly this problem. Instead I use racket's match form with the == pattern:
(define five 5)
(define (f x)
(match x
[(== five) "yeah"]
[_ "nay"]))
(f 5) ; "yeah"
(f 6) ; "nay"
This produces "yeah" on only the value 5, just like you expected. If you wanted it to return "yeah" when it's equal to either five or six, you can use an or pattern:
(define five 5)
(define six 6)
(define (f x)
(match x
[(or (== five) (== six)) "yeah"]
[_ "nay"]))
(f 5) ; "yeah"
(f 6) ; "yeah"
(f 7) ; "nay"
And if you really want to match against quoted datums, you can do that by writing an explicit quote form.
(define (f x)
(match x
[(or 'five 'six) "yeah"]
[_ "nay"]))
(f 5) ; "nay"
(f 6) ; "nay"
(f 7) ; "nay"
(f 'five) ; "yeah"
(f 'six) ; "yeah"
These quote forms are implicit and invisible when you use case, lurking there waiting to cause confusion.
The Racket documentation gives this grammar:
(case val-expr case-clause ...)
where
case-clause = [(datum ...) then-body ...+]
| [else then-body ...+]
Let's compare to your example:
(define five 5)
(case 5 ; (case val-expr
[(five) "yeah"] ; [(datum) then-body1]
[else "nay"]) ; [else then-body2])
We see that (five) is interpreted as (datum). This means that five is
a piece of data (here a symbol), not an expression (later to be evaluated).
Your example of case is evaluated like this:
First the expression 5 is evaluated. The result is the value 5.
Now we look at a clause at a time. The first clause is [(five) "yeah"].
Is the value 5 equal (in the sense of equal?) to one of the datums in (five)? No, so we look at the next clause: [else "nay"]. It is an else-clause so the expression "nay" is evaluated and the result is the value "nay".
The result of the case-expression is thus the value "nay".
Note 1: The left-hand sides of case-clauses are datums (think: they are implicitly quoted).
Note 2: The result of val-expr is compared to the clause datums using equal?. (This is in contrast to Scheme, which uses eqv?.
UPDATE
Why include case? Let's see how one can write the example using cond:
(define five 5)
(let ([val five])
(cond
[(member val '(five)) "yeah"]
[(member val '(six seven)) "yeah"] ; added
[else "nay"])
This shows that one could do without case and just use cond.
However - which version is easier to read?
For a case expression it is easy to see which datums the value is compared to.
Here one must look closely to find the datums. Also in the example we know beforehand that we are trying to find the value among a few list of datums. In general we need to examine a cond-expression more closely to see that's what's happening.
In short: having a case-expression increases readability of your code.
For the historically interested: https://groups.csail.mit.edu/mac/ftpdir/scheme-mail/HTML/rrrs-1986/msg00080.html disussed whether to use eqv? or equal? for case.
UPDATE 2
I'll attempt to given an answer to:
I'm still not clear on the quotation vs working simply on the values though.
I'm wondering specifically why doing the quotation, why working on datum instead
of working on values. Didn't get that bit yet.
Both approaches make sense.
Let's for the sake of argument look at the case where case uses expressions rather than datums in the left hand side of a clause. Also following the Scheme tradition, let's assume eqv? is used for the comparison. Let's call such a
case-expression for ecase (short for expression-case).
The grammar becomes:
(ecase val-expr ecase-clause ...)
where
ecase-clause = [(expr ...) then-body ...+]
| [else then-body ...+]
Your example now becomes:
(define five 5)
(ecase five
[('five) "yeah"]
[else "nay")
This doesn't look too bad and the result is what we are used to.
However consider this example:
(ecase '(3 4)
[('five (list 3 4) "yeah"]
[else "nay")
The result of this would be "nay". The two lists resulting from evaluating the expressions '(3 4) and (list 3 4) are not equal in the sense of eqv?.
This shows that if one chooses to use eqv? for comparisions, having expressions available on the left hand side won't be helpful. The only values that work with eqv? atomic values - and therefore one could just as well use implicit quotations and restrict the left hand side to datums.
Now if equal? was used it would make much more sense to use expressions on the left hand side. The original Racket version of case was the same as the one in Scheme (i.e. it used eq?) later on it was changed to used equal?. If case was designed from scratch, I think, expressions would be allowed rather than datums.
The only remaining issue: Why did the authors of Scheme choose eqv? over equal? for comparisons? My intuition is that the reason were performance (which back in the day was more important than now). The linked to post from the rrrs-authors mailing list gives two options. If you dig a little further you might be able to find responses.
I can't find a reference right now, but case statements use literal, unevaluated data in their different clauses because it is both a frequent use-case and more easily subject to efficient compilation.
You could probably write your own version of Clojure's condp macro or a custom conditional operator to handle your use case.

Variable in a function

I have see the following code... The first call of (next-num) returns 1, and the second returns 2.
(define next-num
(let ((num 0))
(lambda () (set! num (+ num 1)) num)))
(next-num) ; 1
(next-num) ; 2
What I can not understand is... num is created by let inside next-num, it is kind of a local variable... How does scheme know that each time next-num is called, the value of num is not erased by let ((num 0)); How does scheme know that it is always the same num that we modify whenever next-num is called?
It seems that num is both local and static... How can we define a local variable, but not static?
This is "lexical closure" and you're right that num, the "closed-over variable" is similar to a static variable, in C for example: it's only visible to code within the let form (its "lexical scope"), but it persists across the whole program run, rather than being re-initialized with each call to the function.
I think the part you're confused on is this: "num is created by let inside next-num, it is kind of a local variable". This isn't true because the let block isn't part of the next-num function: it's actually an expression which creates and returns the function which is then bound to next-num. (This is very different, e.g., from C, where functions can only be created at compile-time and by defining them at top-level. In Scheme, functions are values like integers or lists, which any expression can return).
Here's another way to write (almost) the same thing which makes it clearer that the define is just associating next-num to the value of a function-returning expression:
(define next-num #f) ; dummy value
(let ((num 0))
(set! next-num
(lambda () (set! num (+ num 1)) num)))
It's important to note the difference between
(define (some-var args ...) expression expression ...)
which makes some-var a function which executes all the expressions when called, and
(define some-var expression)
which binds some-var to the value of expression, evaluated then and there. Strictly speaking, the former version is unnecessary, because it's equivalent to
(define some-var
(lambda (args ...) expression expression ...))
Your code is almost the same as this, with the addition of the lexically scoped variable, num, around the lambda form.
Finally, here's a key difference between closed-over variables and static variables, which makes closures much more powerful. If you had written the following instead:
(define make-next-num
(lambda (num)
(lambda () (set! num (+ num 1)) num)))
then each call to make-next-num would create an anonymous function with a new, distinct num variable, which is private to that function:
(define f (make-next-num 7))
(define g (make-next-num 2))
(f) ; => 8
(g) ; => 3
(f) ; => 9
This is a really cool and powerful trick which accounts for a lot of the power of languages with lexical closures.
Edited to add: You ask how Scheme "knows" which num to modify when next-num is called. In outline, if not in implementation, this is actually pretty simple. Every expression in Scheme is evaluated in the context of an environment (a lookup table) of variable bindings, which are associations of names to places which can hold values. Each evaluation of a let form or a function call creates a new environment by extending the current environment with new bindings. To arrange to have lambda forms behave as closures, the implementation represents them as a structure consisting of the function itself plus the environment in which it was defined. Calls to that function are then evaluated by extending the binding environment in which the function was defined -- not the environment in which it was called.
Older Lisps (including Emacs Lisp until recently) had lambda, but not lexical scope, so although you could create anonymous functions, calls to them would be evaluated in the calling environment rather than the definition environment, and so there were no closures. I believe Scheme was the first language to get this right. Sussman and Steele's original Lambda Papers on the implementation of Scheme make great mind-expanding reading for anyone who wants to understand scoping, among many other things.

Does the state of local variable created by `let` change during recursive call Scheme?

For example,
I want to check if an element is in a list. The algorithm is straightforward, let's do it in C++
bool element_of( const std::vector<int>& lst, int elem ) {
for( int i( 0 ), ie = lst.size(); i < ie; ++i )
if( elem == lst[i] )
return true;
return false;
}
Since Scheme don't let me use single if statement, I can't do something similar to the C++ code above. Then I came up with a temporary variable, namely result. result will have initial value of #f, next I recursively call the function to check the next item in the list i.e. cdr lst ... So my question is, does the variable which created with let restore its initial value each time it enters a new function call or its value stays the same until the last call?
On the other hand, using fold, my solution was,
(define (element-of x lst)
(fold (lambda (elem result)
(if (eq? elem x) (or result #t) result))
#f
lst))
Thanks,
Each Let call creates a new set of variables in the environment that the main body of the Let is being evaluted in. The Let syntax is a "syntactic sugar" for a lambda being evaluated with arguments passed to it that have been evaluted. For instance
(let ((a (func object))
(b (func object2)))
(cons a b))
is the same as writing
((lambda (a b) (cons a b)) (func object) (func object2))
So you can see that in the Let syntax, the arguments are first evaluated, and then the body is evaluated, and the definitions of a and b are utilized in the local environment scope. So if you recursively call Let, each time you enter the body of the Let call, you are evaluating the body in a new environment (because the body is inside a newly defined lambda), and the definition of the arguments defined in the local Let scope will be different (they are actually new variables in a nested environment setup by the new lambda, not simply variables that have been mutated or "re-defined" like you would find in a C++ loop).
Another way of saying this is that you're variables will be like the local scope variables in a C++ recursive function ... for each function's stack-frame, the locally scoped variables will have their own definition, and their own memory location ... they are not mutated variables like you might see in a loop that re-uses the same memory variables in the local scope.
Hope this helps,
Jason
let always reinitialises variables; it's evident, since you must always provide new binding values. e.g.,
(let ((a 42))
...)
Inside the ..., a starts out as 42, always. It doesn't "retain" values from previous invocations.
By the way, I think you meant to write (or result (equal? elem x)) rather than (if (eq? elem x) (or result #t) result). :-)
(or result (equal? elem x)) translates to the following C++ code:
return result || elem == x;
(assuming that the == operator has been overloaded to perform what equal? does, of course.) The benefit of this is that if result is already true, no further comparisons are performed.

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