Sorry, of course i meant the clojure.data.generators library

https://github.com/clojure/data.generators

esp. the *rnd* that can be bound around many of the functions in the
library.

/Linus

On Wednesday, June 4, 2014, Linus Ericsson <oscarlinuserics...@gmail.com>
wrote:

> Data.generative already has this function and many more, I realized.
>
> /Linus
>
> On Wednesday, June 4, 2014, Mars0i <marsh...@logical.net
> <javascript:_e(%7B%7D,'cvml','marsh...@logical.net');>> wrote:
>
>>
>>
>> On Wednesday, June 4, 2014 2:55:20 AM UTC-5, Gunnar Völkel wrote:
>>>
>>> Once you notice that you usually need a fast solution.
>>>
>>
>> Yes!
>>
>>
>>> The easiest solution is to just pass around an instance of
>>> java.util.Random which you create with the desired seed. Another options is
>>> to have a constructor function returning a "rand" function.
>>>
>>> (defn prng [seed]
>>>   (let [rnd (java.util.Random. (long seed))]
>>>     (fn rand [] (.nextDouble rnd))))
>>>
>>
>> Thanks.  This is very helpful.  I have not been thoroughly immersed in
>> the Java world for many years, so I have to spend a bit of time studying in
>> order to figure out this sort of thing on my own.  (I like Clojure because
>> I usually only need to deal with Java when I want to, but there are times
>> when it's necessary.)
>>
>>
>>> But having a built-in rebindable (thread-local) "rand" is preferable in
>>> the long run.
>>>
>>
>> Yes, especially since rolling one's own version means coding up any
>> higher-level functions that use randomness, when others who have thought
>> more about relevant algorithms have already done that work.  Then again,
>> their source code is usually available, so one can copy it.  For my present
>> purposes, data.generators or bigml/sampling might do what I need.
>>
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