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NLambda paragraph
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README.md
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README.md
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@ -7,10 +7,9 @@ used for the paper). The remainder of this README assumes you are using that
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archive.
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archive.
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We have bundled the implementation of the learning algorithm and the
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We have bundled the implementation of the learning algorithm and the
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implementation of the NLambda library in this artifact. Note that our
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implementation of the NLambda library in version 1.1 in this artifact.
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version of NLambda is slightly different from the one on the [NLambda
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Comparing to version 1.0 some bugs were fixed and some new features have appeared.
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website](http://www.mimuw.edu.pl/~szynwelski/nlambda/). Some bugs were
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More information about the library can be found on the [NLambda website](http://www.mimuw.edu.pl/~szynwelski/nlambda/).
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fixed in our version and possibly some new features have appeared.
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This artifact was tested on a Debian system. During development both Mac and
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This artifact was tested on a Debian system. During development both Mac and
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Windows have been used, so it should work on these operating systems too. Note
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Windows have been used, so it should work on these operating systems too. Note
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@ -22,10 +21,10 @@ implemented in Haskell and you will need a recent GHC (at least 7.10).
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Should be just as easy as `stack build`, assuming one has installed Haskell
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Should be just as easy as `stack build`, assuming one has installed Haskell
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stack. I noticed that the linker needed libtinfo. So you might need to install
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stack. I noticed that the linker needed libtinfo. So you might need to install
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the libtinfo package, for example through apt. (I do not know which haskell
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the libtinfo package, for example through apt. (I do not know which Haskell
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package depends on this.) Building may take a while.
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package depends on this.) Building may take a while.
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Stack for haskell can be installed as described on
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Stack for Haskell can be installed as described on
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[their website](http://haskellstack.org/).
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[their website](http://haskellstack.org/).
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You will need to install the [Z3](https://github.com/Z3Prover/z3) theorem
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You will need to install the [Z3](https://github.com/Z3Prover/z3) theorem
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