I am facing an issue that seems to have cropped up suddenly. I am trying to import the packages JLD2 and NamedArrays on a HPC cluster (not sure if this is relevant), and they seem to clash over DataStructures. I’m not sure what’s going on and how to resolve this.
If I import JLD2 before NamedArrays I get
julia> import JLD2
julia> import NamedArrays
┌ Warning: Replacing module `DataStructures`
└ @ Base loading.jl:947
whereas if I import them by reversing the sequence I obtain
julia> import NamedArrays
julia> import JLD2
[ Info: Precompiling JLD2 [033835bb-8acc-5ee8-8aae-3f567f8a3819]
┌ Warning: Module DataStructures with build ID 7498601554111257 is missing from the cache.
│ This may mean DataStructures [864edb3b-99cc-5e75-8d2d-829cb0a9cfe8] does not support precompilation but is imported by a module that does.
└ @ Base loading.jl:1016
[ Info: Skipping precompilation since __precompile__(false). Importing JLD2 [033835bb-8acc-5ee8-8aae-3f567f8a3819].
This is not happening on my local computer. I am running this on a login node on a single processor, so there’s no race condition.
The relevant lines in loading.jl appear to be
key = PkgId(m, String(nameof(m)))
if haskey(loaded_modules, key)
oldm = loaded_modules[key]
if oldm !== m
@warn "Replacing module `$(key.name)`"
end
end
so I check what’s going on
julia> using JLD2
julia> key = Base.PkgId(JLD2.DataStructures, String(nameof(JLD2.DataStructures)))
DataStructures [864edb3b-99cc-5e75-8d2d-829cb0a9cfe8]
julia> haskey(Base.loaded_modules,key)
true
julia> oldm = Base.loaded_modules[key]
DataStructures
julia> using NamedArrays
┌ Warning: Replacing module `DataStructures`
└ @ Base loading.jl:947
julia> m = Base.loaded_modules[key]
DataStructures
julia> m == oldm
false
Why are the modules different? And how can I solve this (hopefully without removing the compile caches altogether, but I’m ok with that if there’s no choice)?