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* Specify multiple architectures for Julia to precompile to For amd64 (x86_64), we should specify what specific targets the precompilation should be done for. If we don't specify it, it's *only* done for the target of the host doing the compilation. When the container runs on a host that's still x86_64, but a *different* generation of CPU than what the build host was, the precompilation is useless and Julia takes a long long time to start up. This specific multitarget comes from https://docs.julialang.org/en/v1/devdocs/sysimg/#Specifying-multiple-system-image-targets, and is the same set of options that the official Julia x86_64 build is compiled with. If the architecture the container runs on is different, precompilation may still have to be re-done on first startup - but this *should* catch most of the issues. h/t to https://discourse.julialang.org/t/is-it-possible-to-make-precompilation-portable-for-docker-images-built-with-a-different-cpu/95913 which helped point me towards `JULIA_CPU_TARGET`. Fixes https://github.com/jupyter/docker-stacks/issues/2015 for more information * Fix bash syntax issue * Add JULIA_CPU_TARGET for aarch64 as well - Don't need `export` as this is only used within this script - Steal from upstream what should be setup for aarch64 * Re-add export for JULIA_CPU_TARGET Quietens pre-commit