December 2013 - Haskell-Cafe

Building PanDoc for iOS target, but failed in Haskell Template requirement by 'aeson' package
by Joe 25 Dec '13

25 Dec '13

Hi, I've been trying to cross-compile PanDoc for iOS target for the last few days. I have been quite successfull from building stage-1 GHC for iOS target and many packages dependencies required by PanDoc until I see that 'aeson' package require Haskell Template which is not supported in cross compilation. As pointed in iOS CrossCompiling Wiki page, it seems that Template Haskell doesn't work yet and still in wish list. Is there any hack or workaround to be able to cross-compile 'aeson' package for iOS target? Can I compile 'aeson' without Haskell Template? Anybody know when Template Haskell in CrossCompiling for iOS will be added? Thanks a lot! Best regards, Joe

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Parse HTML that is contain javascript
by akira kawata 24 Dec '13

24 Dec '13

Hi, I am Akira. I want to parse HTML file that is contain javascript. But I cant come up with how to deal with script tag. Is there anyone help me? Details of probrem HTML code I want to parse is like following <html> <script> //<![CDATA[  //]]> </script> </html> Because '<' is used as normal character in the script region, I can not use my HTML parser there.

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Munich Haskell Holiday Meeting
by Heinrich Hördegen 24 Dec '13

24 Dec '13

Dear all, I want to announce a special holiday meeting of Munich's Haskell user group. It will take place on the 27th of December at 19h30 at Cafe Puck. Check out the details here: http://www.haskell-munich.de/news I wish everyone a nice holiday! Heinrich

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hslogger and metalog compatibility
by Michael Orlitzky 23 Dec '13

23 Dec '13

Is anyone else using metalog (syslog implementation) along with hslogger to log to syslog? If I run the following with syslog-ng, it works. With metalog, I get nothing. Just want to make sure it isn't me before I report it. Prelude> :set prompt "ghci> " ghci> :m +System.Log.Logger ghci> :m +System.Log.Handler.Syslog ghci> sl <- openlog rootLoggerName [] USER DEBUG ghci> updateGlobalLogger rootLoggerName (addHandler sl) ghci> errorM rootLoggerName "This won't show up with metalog."

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NL-FP Day 2014, January 10, Update
by Doaitse Swierstra 23 Dec '13

23 Dec '13

Dear all, A warm welcome to all who registered since the last update email. As of today, we expect 56 participants to the 22nd Netherlands Functional Programming Day in 2014. All news regarding the day itself including - a complete programme, - abstracts for most of the talks, - an updated list of participants, - dinner location (de ponteneur), - registration fee (25EUR) can be found at http://staff.science.uva.nl/~grelck/nl-fp-day-2014.html http://staff.science.uva.nl/~grelck/nl-fp-dag-2014.html Merry Christmas and best wishes for the new year, Clemens -- ---------------------------------------------------------------------- Dr Clemens Grelck Science Park 904 University Lecturer 1098XH Amsterdam Netherlands University of Amsterdam Institute for Informatics T +31 (0) 20 525 8683 Computer Systems Architecture Group F +31 (0) 20 525 7490 Office C3.105 www.science.uva.nl/~grelck ----------------------------------------------------------------------

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Access to Mac OS X needed
by Roman Cheplyaka 23 Dec '13

23 Dec '13

Hi, I am working on fswatch[1,2], a cross-platform file system notification library. [1]: http://hackage.haskell.org/package/fsnotify [2]: https://github.com/haskell-fswatch/hfsnotify Occasionally it needs to be tested on Mac OS X. Could someone give me an unprivileged ssh access to a Mac OS X host with an installed Haskell Platform for this purpose? Roman

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New Functional Programming Job Opportunities
by Functional Jobs 23 Dec '13

23 Dec '13

Here are some functional programming job opportunities that were posted recently: Chief Data Scientist at Lazada http://functionaljobs.com/jobs/8671-chief-data-scientist-at-lazada Cheers, Sean Murphy FunctionalJobs.com

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Abstracting configuration directories
by Michael Orlitzky 23 Dec '13

23 Dec '13

I'm writing a small utility whose only non-portable code involves the two paths, /etc/htsnrc $HOME/.htsnrc These have sort-of analogues under Windows; in .NET they are available through something like, Environment.SpecialFolder.CommonApplicationData Environment.SpecialFolder.ApplicationData I personally will only ever need to run on Linux, but as a matter of principle I'd like to abstract the paths. Is there a library that can do this already?

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Clearing up the status of GHCi on Raspberry Pi
by Dan Krol 22 Dec '13

22 Dec '13

Hello, There seems to be a bit of confusing information out there regarding what is possible with regard to Haskell and Raspberry Pi. Specifically, availability of GHCi (and as such, the ability to compile certain thing such as Vector) in various versions of ghc. Debian Weezy came with GHC 7.4.1. It doesn't come with GHCi. This fact was reflected in what I've read online. So far so good. Now, we come to GHC 7.4.2.: http://www.haskell.org/haskellwiki/Raspberry_Pi#GHC_Status This currently says the following: "Note: GHCi does not currently work on ARM below version 7.4.2. See this post on haskell-cafe for information on this djhuk has been able to compile and install GHC-7.4.2 via QEMU to the Raspberry Pi but there still seems to be some work to do." This seems to imply that GHC 7.4.2. will include GHCi on arm. It implies that, though there were at the time of writing some unspecified problems, if one could get 7.4.2. working on their Rasperry Pi, one would get GHCi. Futher, I extrapolated this to mean that any version later than 7.4.2. would surely also have GHCi. Under the "Found on mailing lists" of this link: http://www.haskell.org/haskellwiki/ARM I similarly found: "GHCi (7.4.2) is working on ARM (Cubieboard with Ubuntu)" granted it doesn't say anything about Raspberry Pi. Well, my experience has shown otherwise. I upgraded my Raspberry Pi to Debian Jesse (currently the testing release), which gives me ghc as high as 7.6.3. GHCi? "command not found". I asked about this in #haskell on freenode, and somebody pointed me here: https://ghc.haskell.org/trac/ghc/wiki/Platforms This seems to imply that ARM does not have GHCi (though version is not specified in these tables). In fact, according to this same person, GHC altogether will not officially be supported on ARM until version 7.8. I'm not sure how that is reflected here. It seems to be Tier 2. Some Tier 2 things have GHCi. I figure we should sort this out, I'd be happy to edit the wikis myself but I want to make sure I understand what's going on. I understand this probably comes down to some nuances that are not expressed here. For user friendliness of the language and ecosystem I think such things should be made clear. As somebody coming to this wanting to accomplish something, I want a clear answer on what is available to me. It's been a source of frustration for me. Could somebody clear all this up for me? And while I'm at it, I would be grateful if somebody could explain to me how it is possible (if at all) to have ghci on my Raspberry Pi, short of compiling it myself. I'm not against compiling ghc, but I am against compiling it on my Raspberry Pi. Qemu I will consider, though. Thanks a lot, Dan

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Re: [Haskell-cafe] Haskell and Big Data
by He-chien Tsai 21 Dec '13

21 Dec '13

What I meant is that split the data into several parts,send each splited data to different computers, train them seperately, finally send the results back and combine those results. I didn't mean to use Cloud Haskell. 2013/12/20 上午5:40 於 "jean-christophe mincke" < jeanchristophe.mincke(a)gmail.com> 寫道： > > He-Chien Tsai, > > > its training result is designed for composable > > Yes it is indeed composable (parallel function of that lib) but parallelizing it on a cluster changes all the type because running on a cluster implies IO. > Moreover using Cloud Haskell (for instance) implies that: > 1. training functions should be (serializable) clojures, which can only be defined as module level (not as local -let/where - bindings). > 2. train is a typeclass function and is not serializable. > > So the idea behind HLearn are interesting but I do not see how it could be run on a cluster... But, unfortunately, I am not an Haskell expert. > > What do you think? > > Regards > > J-C > > > > On Thu, Dec 19, 2013 at 6:15 PM, He-chien Tsai <depot051(a)gmail.com> wrote: >> >> have you took a look at hlearn and statistics packages? it's even easy to parallellize hlearn on cluster because it's training result is designed for composable, which means you can create two model , train them seperately and finally combine them. you can also use other database such as redis or cassandra,which has haskell binding, as backend. for parallellizing on clusters, hdph is also good. >> >> I personally prefer python for data science because it has much more mature packages and is more interactive and more effective (not kidding. you can create compiled C for core datas and algorithms by python-like cython and call it from python, and exploit gpus for accelerating by theano) than haskell and scala, spark also has a unfinish python binding. >> >> 2013/12/18 下午3:41 於 "jean-christophe mincke" < jeanchristophe.mincke(a)gmail.com> 寫道： >> >> >> > >> > Hello Cafe, >> > >> > Big Data is a bit trendy these days. >> > >> > Does anybody know about plans to develop an Haskell eco-system in that domain? >> > I.e tools such as Storm or Spark (possibly on top of Cloud Haskell) or, at least, bindings to tools which exist in other languages. >> > >> > Thank you >> > >> > Regards >> > >> > J-C >> > >> > _______________________________________________ >> > Haskell-Cafe mailing list >> > Haskell-Cafe(a)haskell.org >> > http://www.haskell.org/mailman/listinfo/haskell-cafe >> > > >

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