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@@ -6,110 +6,9 @@ This package includes a virtual machine code interpreter and a
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development library. It enables you to run programs that have been
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development library. It enables you to run programs that have been
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compiled into the virtual code format that it uses. A compiler to
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compiled into the virtual code format that it uses. A compiler to
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generate code in this format is available separately at
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generate code in this format is available separately at
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-http://gueststar.github.com/ursala.
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+https://github.com/gueststar/Ursala.
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-The quick install guide (assuming you have root):
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------------------------
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-
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-Change to the directory with this README file in it, and do the
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-following.
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-
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-configure
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-make
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-su
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-make install
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-
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-If this doesn't work, try reading INSTALL, and please let me know what
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-you had to do to get it to work so I can include it in this file or
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-improve the configuration script.
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-
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-Installation for non-root users (whose admins are busy):
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--------------------------------
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-
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-Change to the directory with this README file in it and type
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-
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-configure --prefix=$HOME
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-make
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-make install
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-
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-The avram binary will be installed under $HOME/bin, which you need to
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-put in your path. You might also want to modify your $MANPATH and your
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-$INFOPATH environment variables to include $HOME/man and $HOME/info.
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-You may substitute any directory you own for $HOME.
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-
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-See below if you want to link avram with external math libraries,
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-which will need to be installed first.
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-
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-Installation for non-root users with small disk quotas (aka students):
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-------------------------------------------------------
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-
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-Unpack the tarball in /tmp, which is world writable on most systems,
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-cd to /tmp/avram-0.3.0 (or current version) and type
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-
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-configure --prefix=/tmp
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-make
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-strip src/avram
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-
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-The third line is optional but recommended. When it's finished
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-building, copy src/avram to your home directory wherever you keep your
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-executables (probably ~/bin). You won't have any on-line documentation
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-with this kind of installation, but you can always read it on the home
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-page. Nor will you be able to link your own code against the avram
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-library, but you'll use only a few hundred kbytes for the executable
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-and will be able to execute unmodified virtual code scripts if they're
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-done right.
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-
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-A combination of the above installations is to follow the building in
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-/tmp with make install, and then copy /tmp/lib to your home directory
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-as well as /tmp/bin/avram. That will give you the executable and the
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-library but no documentation.
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-
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-Installation of Expect
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-----------------------
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-
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-Avram has cooler features when built on a machine with the expect
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-library, available at http://expect.sourceforge.net. If your system
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-doesn't have any files named /usr/lib/*expect* or
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-/usr/local/lib/*expect*, you might want to install the expect library
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-in order to get the full benefit before installing avram. Version
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-numbers shown below may vary.
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-
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-1) download tcl8.5.12-src.tar.gz and expect5.45.tar.gz
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-2) tar -zxvf tcl8.5.12-src.tar.gz
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-3) tar -zxvf expect5.45.tar.gz
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-4) cd tcl8.5.12/unix
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-5) su
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-6) configure; make; make install
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-7) cd ../../expect-5.45
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-8) configure; make; make install
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-
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-It is possible to install these libraries non-root by using configure
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---prefix=$HOME. As a show of my solidarity with non-root users, I've
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-made the avram configure script look under $HOME for shared libraries
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-and header files. You will then have to put your $HOME/lib directory
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-in your LD_LIBRARY_PATH environment variable.
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-
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-Installation of other libraries
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--------------------------------
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-
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-Some other libraries with which avram is able to interface may be of
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-interest. These should be installed prior to compiling avram, if you
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-want, but avram will also work without them.
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-
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-* gsl integration, differentiation, and series acceleration
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-* mpfr arbitrary precision arithmetic
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-* minpack non-linear optimization
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-* lapack linear algebra
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-* fftw fast fourier transforms
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-* Rmath statistical and transcendental functions
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-* ufsparse sparse matrices
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-* glpk linear programming by the simplex method
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-
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-Keep an eye on the output messages from the configuration script to
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-ensure the libraries you want have been detected if you're compiling
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-avram yourself, and then as a check execute "avram -e" with the newly
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-built binary.
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-
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-Comments are welcome.
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+This is a feature branch dedicated to migrating from autotools
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+to CMake. Installation instructions haven't been written yet.
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- Dennis Furey <[email protected]>
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- Dennis Furey <[email protected]>
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Dennis Furey