good choice for random number generator ?

There's quite a few. Many are very old. I would have like to use vector-random and got this : Data/Vector/Random/Mersenne.hs:33:18: Could not find module ‘Data.Vector.Fusion.Stream’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file. Use -v to see a list of the files searched for. Data/Vector/Random/Mersenne.hs:35:18: Could not find module ‘Data.Vector.Fusion.Stream.Size’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file. Use -v to see a list of the files searched for. I wouldn't be opposed to fixing it, but I'm wondering at this point there isn't a better package to use instead. I'm looking for both integer and floating point random numbers, uniform and gaussian. gsl-random looks promising as does mwc-random. any other suggestions ? Thanks, Brian

briand@aracnet.com wrote:
Data/Vector/Random/Mersenne.hs:33:18: Could not find module ‘Data.Vector.Fusion.Stream’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file.
Have you tried adding the vector package to the build-depends to you cabal file as suggested in that error message? Erik -- ---------------------------------------------------------------------- Erik de Castro Lopo http://www.mega-nerd.com/

On Mon, 25 Jul 2016 21:19:39 +1000
Erik de Castro Lopo
briand@aracnet.com wrote:
Data/Vector/Random/Mersenne.hs:33:18: Could not find module ‘Data.Vector.Fusion.Stream’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file.
Have you tried adding the vector package to the build-depends to you cabal file as suggested in that error message?
No. it looked very old and out-of-date, so I thought i would see what other recommendations people had. Brian

I added vector-random to matrix.h.h.o build queue [1]: Will check whether it have some problems, and report here & upstream Oleg - [1] http://matrix.hackage.haskell.org/package/vector-random http://matrix.hackage.haskell.org/package/vector-random
On 25 Jul 2016, at 02:48,
wrote: There's quite a few. Many are very old.
I would have like to use vector-random and got this :
Data/Vector/Random/Mersenne.hs:33:18: Could not find module ‘Data.Vector.Fusion.Stream’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file. Use -v to see a list of the files searched for.
Data/Vector/Random/Mersenne.hs:35:18: Could not find module ‘Data.Vector.Fusion.Stream.Size’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file. Use -v to see a list of the files searched for.
I wouldn't be opposed to fixing it, but I'm wondering at this point there isn't a better package to use instead.
I'm looking for both integer and floating point random numbers, uniform and gaussian.
gsl-random looks promising as does mwc-random.
any other suggestions ?
Thanks,
Brian _______________________________________________ Haskell-Cafe mailing list To (un)subscribe, modify options or view archives go to: http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe Only members subscribed via the mailman list are allowed to post.

Seems that `vector-random-0.2` is incompatible with new fusion implementation of `vector-0.11` Also due “recent” GHC being more strict about pragmas, build fails for all GHC >=7.2 Data/Vector/Random/Mersenne.hs:85:5: The INLINE pragma for default method `random' lacks an accompanying binding I edited bounds on Hackage to disallow invalid build-plans. - Oleg
On 25 Jul 2016, at 14:25, Oleg Grenrus
wrote: I added vector-random to matrix.h.h.o build queue [1]:
Will check whether it have some problems, and report here & upstream
Oleg
- [1] http://matrix.hackage.haskell.org/package/vector-random
On 25 Jul 2016, at 02:48,
wrote: There's quite a few. Many are very old.
I would have like to use vector-random and got this :
Data/Vector/Random/Mersenne.hs:33:18: Could not find module ‘Data.Vector.Fusion.Stream’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file. Use -v to see a list of the files searched for.
Data/Vector/Random/Mersenne.hs:35:18: Could not find module ‘Data.Vector.Fusion.Stream.Size’ It is a member of the hidden package ‘vector-0.10.12.3@vecto_1COyUuV1LrA1IjYnWfJnbs’. Perhaps you need to add ‘vector’ to the build-depends in your .cabal file. Use -v to see a list of the files searched for.
I wouldn't be opposed to fixing it, but I'm wondering at this point there isn't a better package to use instead.
I'm looking for both integer and floating point random numbers, uniform and gaussian.
gsl-random looks promising as does mwc-random.
any other suggestions ?
Thanks,
Brian _______________________________________________ Haskell-Cafe mailing list To (un)subscribe, modify options or view archives go to: http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe Only members subscribed via the mailman list are allowed to post.
_______________________________________________ Haskell-Cafe mailing list To (un)subscribe, modify options or view archives go to: http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe Only members subscribed via the mailman list are allowed to post.

On Mon, 25 Jul 2016 22:30:24 +0300
Oleg Grenrus
Seems that `vector-random-0.2` is incompatible with new fusion implementation of `vector-0.11` Also due “recent” GHC being more strict about pragmas, build fails for all GHC >=7.2
Data/Vector/Random/Mersenne.hs:85:5: The INLINE pragma for default method `random' lacks an accompanying binding
I edited bounds on Hackage to disallow invalid build-plans.
Do you think it's fixable by going through and updating pragmas and such, or does it require a more involved rewrite ? Brian

It's been well over a year since I was looking at RNGs and I'm not sure I
trust my instincts from that far back, but my pick at the time was
pcg-random: https://hackage.haskell.org/package/pcg-random
On Jul 25, 2016 9:35 PM,
On Mon, 25 Jul 2016 22:30:24 +0300 Oleg Grenrus
wrote: Seems that `vector-random-0.2` is incompatible with new fusion implementation of `vector-0.11` Also due “recent” GHC being more strict about pragmas, build fails for all GHC >=7.2
Data/Vector/Random/Mersenne.hs:85:5: The INLINE pragma for default method `random' lacks an accompanying binding
I edited bounds on Hackage to disallow invalid build-plans.
Do you think it's fixable by going through and updating pragmas and such, or does it require a more involved rewrite ?
Brian
_______________________________________________ Haskell-Cafe mailing list To (un)subscribe, modify options or view archives go to: http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe Only members subscribed via the mailman list are allowed to post.

On Mon, 25 Jul 2016 21:51:57 -0700
Theodore Lief Gannon
It's been well over a year since I was looking at RNGs and I'm not sure I trust my instincts from that far back, but my pick at the time was pcg-random: https://hackage.haskell.org/package/pcg-random
Thanks. I hadn't seen that one. Brian

On 2016-07-24 07:48 PM, briand@aracnet.com wrote:
I'm looking for both integer and floating point random numbers, uniform and gaussian.
gsl-random looks promising as does mwc-random.
any other suggestions ?
I like tf-random for its functional interface and splittable design. But I have only judged subjectively. And it only does uniform.

If you want distributions in distinction to just a random number generator, I recommend random-fu. You can plug in at least MT and MWC as the random number generators and you get pdfs and cdfs as well. Let me know if you need anything adding to it. I am also keen to improve its documentation. I made a small start here: https://hackage.haskell.org/package/random-fu-0.2.7.0/docs/Data-Random- Distribution-Binomial.html but time as always is the enemy. Feel free to contribute. Dominic.

On Tue, 26 Jul 2016 09:08:30 +0000 (UTC)
Dominic Steinitz
If you want distributions in distinction to just a random number generator, I recommend random-fu. You can plug in at least MT and MWC as the random number generators and you get pdfs and cdfs as well. Let me know if you need anything adding to it. I am also keen to improve its documentation. I made a small start here: https://hackage.haskell.org/package/random-fu-0.2.7.0/docs/Data-Random- Distribution-Binomial.html but time as always is the enemy. Feel free to contribute.
I'll definitely give it a try. Thanks. Brian
participants (6)
-
Albert Y. C. Lai
-
briand@aracnet.com
-
Dominic Steinitz
-
Erik de Castro Lopo
-
Oleg Grenrus
-
Theodore Lief Gannon