A namespace-qualified keyword has a single colon:

:my-namespace/something

The double-colon is only shorthand for the current namespace:

(in-ns 'my-namespace)
::something -> :my-namespace/something

Dave



On Tue, Sep 17, 2013 at 4:58 PM, Casper Clausen <casp...@gmail.com> wrote:

> The double colon keyword creates a namespaced keyword and is perfectly
> valid syntax. It's just not used that often :)
>
> By default a keyword like ::test resolves to the current namespace like
> ::current-ns/test, but you can also provide another ns which causes the
> problem when reading.
>
> Have at look at
> https://github.com/clojure/core.logic/blob/0d1d545f0a81c585c7449aecb5d661120f3da568/src/main/clojure/clojure/core/logic/fd.cljfor
>  instance.
>
> On Wednesday, September 18, 2013 1:05:01 AM UTC+2, daveray wrote:
>>
>> Hey,
>>
>> You have too many colons:
>>
>> user=> (read-string ":l/test")
>> :l/test
>>
>>
>> Dave
>>
>>
>>
>> On Tue, Sep 17, 2013 at 4:03 PM, Casper Clausen <cas...@gmail.com> wrote:
>>
>>> I am reading a bunch of clojure files using the build-in reader (or
>>> tools.reader, it has the same problem) and I am running into a problem
>>> regarding namespaced keywords (is that the right term?) such as ::l/test.
>>>
>>> => (read-string "::l/test")
>>> RuntimeException Invalid token: ::l/test  
>>> clojure.lang.Util.**runtimeException
>>> (Util.java:219)
>>>
>>> It seems that the reader requires the namespace alias 'l' to exist. This
>>> is a shame because in most (all?) other respects the reader is able to just
>>> read in the symbols even if their namespace is not loaded. So in order for
>>> me to read a file with a namespaced keyword I need to eval at least the ns
>>> form of the file, which then requires me to eval the ns forms of its
>>> dependencies (and so on). My code is basically building on the excellent
>>> codeq analyzer (https://github.com/Datomic/**
>>> codeq/blob/master/src/datomic/**codeq/analyzers/clj.clj<https://github.com/Datomic/codeq/blob/master/src/datomic/codeq/analyzers/clj.clj>),
>>> so I am guessing this would have the same problem when running into a
>>> similar namespaced keyword.
>>>
>>> So my question is how do I best get around this?
>>>
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