install_ibpp_conda.sh

## save our current directory so we can return to it
CURDIR=$(pwd)

## find the path to our conda bin dir (this _should_ be in our PATH)
CONDADIR=$(which conda)
CONDABIN=$(dirname $CONDADIR)
CONDAPKG=$(dirname $CONDABIN)/pkgs

## download bpp source into the conda pkgs dir
cd $CONDAPKG/

## download the file here, since this is where you store source code
REPODIR="./iBPP"
REPO="https://github.com/cecileane/iBPP.git"
if [ ! -d $REPODIR ]
  then
    git clone $REPO $REPODIR 
    cd $REPODIR/src

    ## compile to create a binary executable called 'bpp'
    ## if you are on a HPC cluster you _may_ need to load the gcc compiler. 
    ## if you want to suppress the warnings add '2>/dev/null` to the end.
    gcc -o ibpp -O3 bpp.c tools.c -lm
    gcc -o ibpp-simul -DSIMULATION -O3 bpp.c  tools.c -lm
  else
    cd $REPODIR/src
## done
fi

## print the location of your bpp binary and success of installation
success=$(2>&1 ./ibpp ../)
if [[ $success == *"integrated with traits"* ]]
then
  mv ./ibpp $CONDABIN/
  (>&2 echo "Hoorah, iBPP was successfully installed here: $CONDABIN/ibpp")
  (>&2 echo "Be sure to call it by entering the full path to the binary above.")
else
  (>&2 echo "installation failed -- uncomment '2>/dev/null' to see errors. ")
fi

## cd back home, even though jupyter would do this anyways
cd $CURDIR