Do you mean you'd like to compress
{0 :a 1 :a 2 :a 3 :a 4 :b 5 :b 6 :c 7 :c 8 :c 9 :c}
to something like
{[0 1 2] :a [4 5] :b [6 7 8 9] :c}
while maintaining the ability to ask for the value at 0, 1, …, 9?
If so, you could represent the above as
{0 :a 2 :a 4 :b 5 :b 6 :c 9 :c}
(notice no explicit entries for 1, 7, 8) and query for the value at 7, say,
using
(val (avl/nearest the-map <= 7))
;= :c
(avl/nearest can be implemented for built-in sorted maps using subseq and
first, in fact the test suite for data.avl has an implementation like that
that it compares avl/nearest against).
If you need more operations – say, data.avl-style slice-{at,key} and
subrange – those could be supported with some care (mostly around the
possibility that a slice, say, removes an endpoint of an interval – you may
need to add the slice boundary as a replacement in that case).
Cheers,
Michał
On 20 February 2015 at 16:15, David James <davidcja...@gmail.com> wrote:
> Thanks for your comments. I see now that I should clarify: all I really
> need is public access to the left and right Java methods in PTM. (So,
> perhaps CLJ-1008 is asking for more than I really need.)
>
> It seems to me that since Clojure's RB-Tree implementation (i.e.
> sorted-map = PTM), it might as well expose a Java API for root node (which
> it does) and branches (which is does not, currently). Is there any downside
> to exposing the 'right' and 'left' Java methods as public?
>
> In the near term, I'll be using data.avl. I'm glad it exists! My use case
> involves a non-overlapping interval map to store time series data that
> doesn't change very often.
>
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