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2 points by hjek 308 days ago | link | parent

Why do we need to explicitly translate #t to t? Arc has no problem handling Racket booleans.

I'd like to see perhaps a specific brief example, where using Racket booleans within Arc actually is a problem, because I haven't encountered any myself.

If I try to use the hash from your example in actual Arc code, it works fine:

    arc> (if ((w/instring in "{\"foo\": true}" ($.read-json in)) 'foo) 'yes 'no)
    arc> (if ((w/instring in "{\"foo\": false}" ($.read-json in)) 'foo) 'yes 'no)

2 points by akkartik 308 days ago | link

Wow, that's kinda mind-blowing. I had no idea. Thanks!

Ah, here's perhaps the only special-case we need to handle:

    arc> (= x (w/instring in "{\"foo\": null}" ($.read-json in)))
    #hash((foo . null))  # expected: #hash((foo . nil)) or #hash()
    arc> (if x!foo (prn "error"))


2 points by rocketnia 308 days ago | link

For round-tripping between JSON and Arc, I would expect the JSON values {}, {"foo": null}, {"foo": false}, and {"foo": []} to parse as four distinct Arc values.

I recommend (obj), (obj foo (list 'null)), (obj foo (list 'false)), and (obj foo (list (list))). Arc is good at representing optional values as subsingleton lists:

  ; Access a key that's known to be there.
  ; Access a key that isn't known to be there.
  (iflet (x) t!foo
    (do-something-then x)
Using my `sobj` utility, you can write (obj foo (list 'false)) as (sobj foo 'false).

Meanwhile, I don't think there's any big deal when we don't have Arc-style booleans....

  ; Branch on the symbols 'false and 'true.
  (if (isnt 'false x)
  ; Alternative
  (case x true


2 points by hjek 308 days ago | link

> ; Branch on the symbols 'false and 'true.

We do already have booleans that work in Arc without any conversion. Please see

There's absolutely no need to convert the booleans to symbols and other hackery.


3 points by rocketnia 308 days ago | link

I liked it when it was returning #f.

But now that I look closer at the ac.scm history (now ac.rkt in Anarki), I realize I was mistaken to believe Arc treated #f as a different value than nil. Turns out Arc has always equated #f and 'nil with `is`, counted them both as falsy, etc. So this library was already returning nil, from Arc's perspective.

There are some things that slip through the cracks. It looks like (type #f) has always given an "unknown type" error, as opposed to returning 'sym as it does for 'nil and '().

So with that in mind, I think it's a bug if an Arc JSON library returns 'nil or #f for JSON false, unless it returns something other than '() for JSON []. To avoid collision, we could represent JSON arrays using `annotate` values rather than plain Arc lists, but I think representing JSON false and null using Arc symbols like 'false and 'null is easier.


2 points by hjek 308 days ago | link

Having nil represent both false and the empty list is also what Common Lisp does.

Really, #t and #f are not proper Arc booleans[0], so it makes sense that Arc can't tell what type they are.

You can configure the value Arc chooses for a JSON null with the $.json-null function, which I think is fine as JSON APIs might have differing semantics.



3 points by rocketnia 307 days ago | link

That documentation may be wrong. On the other hand, it may be correct in the context of someone who is only using Arc, not Racket.

There are a lot of ways to conceive of what Arc "is" outside of the Racket implementations, but I think Arc implementations like Rainbow, Jarc, Arcueid, and so on tend to be inspired first by the rather small set of operations showcased in the tutorial and in arc.arc. (As the tutorial says, "The definitions in arc.arc are also an experiment in another way. They are the language spec.") Since #f isn't part of those, it's not something that an Arc implementation would necessarily focus on supporting, so there's a practical sense in which it's not a part of Arc our Arc code can rely on.

(Not that any other part of Arc is stable either.)


3 points by i4cu 307 days ago | link

> Really, #t and #f are not proper Arc booleans[0], so it makes sense that Arc can't tell what type they are.

Really, #t and #f are not proper Arc anything, but the language apparently handles them so IMHO Arc should also be able to know what type they are. Otherwise, I fear, this will become a Hodge Podge language that will lose appeal.

Personally I don't care if Arc supports booleans. I only care that it can translate booleans (when need be) to a meaningful Arc semantic. That said, if we're going to support booleans then let's not create partial support.


2 points by hjek 308 days ago | link

Nice example. (So much easier to tell what's going on when you have these brief examples)

Actually the Racket docs[0] clarifies the situation with null in JSON:

    (json-null) → any/c

    (json-null jsnull) → void?
      jsnull : any/c
> This parameter determines the default Racket value that corresponds to a JSON “null”. By default, it is the 'null symbol. In some cases a different value may better fit your needs, therefore all functions in this library accept a #:null keyword argument for the value that is used to represent a JSON “null”, and this argument defaults to (json-null).

If you set the JSON null to nil before running your example, it works as you'd expect:

    arc> ($.json-null nil)
    arc> (= x (w/instring in "{\"foo\": null}" ($.read-json in)))
    #hash((foo . nil))
    arc> (if x!foo (prn "error"))
I think we should get rid of json.rkt and use the Racket built-in. It's way better documented, and we should use that one. (But I'm not going to delete json.rkt myself, particularly when I know someone is working with it.)