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Support empty components #162

Merged
merged 11 commits into from
Aug 6, 2022
Merged

Support empty components #162

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30aa369
no reduce
YichengDWu Jul 30, 2022
6313e5c
primitivetype
YichengDWu Jul 30, 2022
64af25d
some changes
YichengDWu Jul 31, 2022
2f1b6f5
treat dict like nt
YichengDWu Jul 31, 2022
bbe2bfd
abstractdict
YichengDWu Jul 31, 2022
edc140b
delete comment
YichengDWu Jul 31, 2022
18c36c0
simpler recursive_eltype
YichengDWu Jul 31, 2022
6bb6265
Update componentarray.jl
YichengDWu Aug 3, 2022
8706701
empty components
YichengDWu Aug 6, 2022
ce1a6d2
Merge branch 'master' into construct
YichengDWu Aug 6, 2022
4ad2408
more tests
YichengDWu Aug 6, 2022
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treat dict like nt
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@YichengDWu
YichengDWu committed Jul 31, 2022
commit 2f1b6f58fcc4fe82c14a854b665bb4474ef4569e
8 changes: 4 additions & 4 deletions src/componentarray.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -60,9 +60,9 @@ end
# Entry from NamedTuple, Dict, or kwargs
ComponentArray{T}(nt::NamedTuple) where T = ComponentArray(make_carray_args(T, nt)...)
ComponentArray{T}(::NamedTuple{(), Tuple{}}) where T = ComponentArray(T[], (FlatAxis(),))
ComponentArray(nt::NamedTuple) = ComponentArray(make_carray_args(nt)...)
ComponentArray(nt::Union{NamedTuple, AbstractDict}) = ComponentArray(make_carray_args(nt)...)
ComponentArray(::NamedTuple{(), Tuple{}}) = ComponentArray(Any[], (FlatAxis(),))
ComponentArray(d::AbstractDict) = ComponentArray(NamedTuple{Tuple(keys(d))}(values(d)))
#ComponentArray(d::AbstractDict) = ComponentArray(NamedTuple{Tuple(keys(d))}(values(d)))
ComponentArray{T}(;kwargs...) where T = ComponentArray{T}((;kwargs...))
ComponentArray(;kwargs...) = ComponentArray((;kwargs...))

Expand Down Expand Up @@ -138,7 +138,7 @@ make_carray_args(::NamedTuple{(), Tuple{}}) = (Any[], FlatAxis())
make_carray_args(::Type{T}, ::NamedTuple{(), Tuple{}}) where {T} = (T[], FlatAxis())
function make_carray_args(nt)
data, ax = make_carray_args(Vector, nt)
data = length(data)==1 ? [data[1]] : data
data = length(data)==1 ? [data[1]] : map(identity, data)
return (data, ax)
end
make_carray_args(::Type{T}, nt) where {T} = make_carray_args(Vector{T}, nt)
Expand All @@ -153,7 +153,7 @@ _isprimitivetype(::Type{<:Union{T, Nothing, Missing}}) where {T} = isprimitivety
_isprimitivetype(T) = isprimitivetype(T)

# Builds up data vector and returns appropriate AbstractAxis type for each input type
function make_idx(data, nt::NamedTuple, last_val)
function make_idx(data, nt::Union{NamedTuple, Dict}, last_val)
len = recursive_length(nt)
kvs = []
lv = 0
Expand Down