julia_notebooks: Installation bug (?) in Colab

First, I want to thank you for developing this. I use it for teaching as I don’t have the ability to add a local Jupyter/Julia installation to the various classroom computers. I used it extensively about a year ago by installing Julia 1.7.2, IIRC.

I am teaching this course again, and I went to run the Julia installation, and it is throwing an error that I can’t quite wrap my head around. I am guessing it is on the Colab side. Any guidance on a resolution would be appreciated!!

Installing Julia 1.8.2 on the current Colab Runtime...
2023-01-20 15:45:13 URL:https://storage.googleapis.com/julialang2/bin/linux/x64/1.8/julia-1.8.2-linux-x86_64.tar.gz [135859273/135859273] -> "/tmp/julia.tar.gz" [1]
Installing Julia package IJulia...
/bin/bash: line 24:   229 Aborted                 (core dumped) julia -e 'using Pkg; pkg"add '$PKG'; precompile;"' &> /dev/null
---------------------------------------------------------------------------
CalledProcessError                        Traceback (most recent call last)
[<ipython-input-1-9b4dbd3cbe07>](https://localhost:8080/#) in <module>
----> 1 get_ipython().run_cell_magic('shell', '', 'set -e\n\n#---------------------------------------------------#\nJULIA_VERSION="1.8.2" # any version ≥ 0.7.0\nJULIA_PACKAGES="IJulia BenchmarkTools"\nJULIA_PACKAGES_IF_GPU="CUDA" # or CuArrays for older Julia versions\nJULIA_NUM_THREADS=2\n#---------------------------------------------------#\n\nif [ -z `which julia` ]; then\n  # Install Julia\n  JULIA_VER=`cut -d \'.\' -f -2 <<< "$JULIA_VERSION"`\n  echo "Installing Julia $JULIA_VERSION on the current Colab Runtime..."\n  BASE_URL="https://julialang-s3.julialang.org/bin/linux/x64"\n  URL="$BASE_URL/$JULIA_VER/julia-$JULIA_VERSION-linux-x86_64.tar.gz"\n  wget -nv $URL -O /tmp/julia.tar.gz # -nv means "not verbose"\n  tar -x -f /tmp/julia.tar.gz -C /usr/local --strip-components 1\n  rm /tmp/julia.tar.gz\n\n  # Install Packages\n  nvidia-smi -L &> /dev/null && export GPU=1 || export GPU=0\n  if [ $GPU -eq 1 ]; then\n    JULIA_PACKAGES="$JULIA_PACKAGES $JULIA_PACKAGES_IF_GPU"\n  fi\n  for PKG in `echo $JULIA_PACKAGES`; do\n    echo "Installing Julia package $PKG..."\n    julia -e \'using Pkg; pkg"add \'$PKG\'; precompile;"\' &> /dev/null\n  done\n\n  # Install kernel and rename it to "julia"\n  echo "Installing IJulia kernel..."\n  julia -e \'using IJulia; IJulia.installkernel("julia", env=Dict(\n      "JULIA_NUM_THREADS"=>"\'"$JULIA_NUM_THREADS"\'"))\'...

2 frames
[/usr/local/lib/python3.8/dist-packages/google/colab/_system_commands.py](https://localhost:8080/#) in check_returncode(self)
    132   def check_returncode(self):
    133     if self.returncode:
--> 134       raise subprocess.CalledProcessError(
    135           returncode=self.returncode, cmd=self.args, output=self.output)
    136 

CalledProcessError: Command 'set -e

#---------------------------------------------------#
JULIA_VERSION="1.8.2" # any version ≥ 0.7.0
JULIA_PACKAGES="IJulia BenchmarkTools"
JULIA_PACKAGES_IF_GPU="CUDA" # or CuArrays for older Julia versions
JULIA_NUM_THREADS=2
#---------------------------------------------------#

if [ -z `which julia` ]; then
  # Install Julia
  JULIA_VER=`cut -d '.' -f -2 <<< "$JULIA_VERSION"`
  echo "Installing Julia $JULIA_VERSION on the current Colab Runtime..."
  BASE_URL="https://julialang-s3.julialang.org/bin/linux/x64"
  URL="$BASE_URL/$JULIA_VER/julia-$JULIA_VERSION-linux-x86_64.tar.gz"
  wget -nv $URL -O /tmp/julia.tar.gz # -nv means "not verbose"
  tar -x -f /tmp/julia.tar.gz -C /usr/local --strip-components 1
  rm /tmp/julia.tar.gz

  # Install Packages
  nvidia-smi -L &> /dev/null && export GPU=1 || export GPU=0
  if [ $GPU -eq 1 ]; then
    JULIA_PACKAGES="$JULIA_PACKAGES $JULIA_PACKAGES_IF_GPU"
  fi
  for PKG in `echo $JULIA_PACKAGES`; do
    echo "Installing Julia package $PKG..."
    julia -e 'using Pkg; pkg"add '$PKG'; precompile;"' &> /dev/null
  done

  # Install kernel and rename it to "julia"
  echo "Installing IJulia kernel..."
  julia -e 'using IJulia; IJulia.installkernel("julia", env=Dict(
      "JULIA_NUM_THREADS"=>"'"$JULIA_NUM_THREADS"'"))'
  KERNEL_DIR=`julia -e "using IJulia; print(IJulia.kerneldir())"`
  KERNEL_NAME=`ls -d "$KERNEL_DIR"/julia*`
  mv -f $KERNEL_NAME "$KERNEL_DIR"/julia  

  echo ''
  echo "Successfully installed `julia -v`!"
  echo "Please reload this page (press Ctrl+R, ⌘+R, or the F5 key) then"
  echo "jump to the 'Checking the Installation' section."
fi
' returned non-zero exit status 134.