Install bpp 3.3 into your conda dir

install_bpp_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/
curl -LkO http://abacus.gene.ucl.ac.uk/software/bpp3.3.tgz 2>/dev/null
tar -xf bpp3.3.tgz
rm bpp3.3.tgz

## ensure permissions of src files, and cd to src/
chmod -R +rwx bpp3.3/
cd bpp3.3/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 bpp -O3 bpp.c tools.c -lm  2>/dev/null

## comment this out if you do not have AVX
gcc -o bpp_avx -O3 -DUSE_AVX -mavx bpp.c tools.c -lm  2>/dev/null

## build mccoal
gcc -o MCcoal -DSIMULATION bpp.c tools.c -lm 2>/dev/null

## print the location of your bpp binary and success of installation
success=$(2>&1 ./bpp ../)
if [[ $success == *"bp&p"* ]]
then
  ## move to conda bin
  mv ./bpp $CONDABIN/
  mv ./bpp_avx $CONDABIN/
  mv ./MCcoal $CONDABIN/
  (>&2 echo "Hoorah, bp&p was successfully installed in: $CONDABIN/bpp")
else
  (>&2 echo "installation failed -- uncomment '2>/dev/null' to see errors. ")
fi

cd $CURDIR