Closed
Description
Hey all. On Julia 1.5.3:
julia> versioninfo()
Julia Version 1.5.3
Commit 788b2c77c1 (2020-11-09 13:37 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_EDITOR = code
JULIA_NUM_THREADS = it seems that Base.summarysize doesn't recurse deeply enough for Vectors containing Sets (as well as for our own user-defined type).
julia> s = Set(1:100)
Set{Int64} with 100 elements:
2
89
11
29
74
57
31
78
70
33
96
⋮
julia> c = [s]
1-element Array{Set{Int64},1}:
Set([2, 89, 11, 29, 74, 57, 31, 78, 70, 33 … 19, 51, 22, 6, 24, 73, 53, 23, 27, 56])
julia> Base.summarysize(c)
48
julia> Base.summarysize(s)
4800Array{Array{Int64}}, Array{Dict{Int64,Int64}}, and a few other permutations seem to work fine.
I dug a little bit and I think this has something to do with it and is preventing the function from accessing the set:
julia> Base.allocatedinline(Dict{Int,Int})
false
julia> Base.allocatedinline(Vector{Int})
false
julia> Base.allocatedinline(Set{Int})
truewhich is defined here
Line 157 in e4f79b7
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