Comments (2)
It does assume they are AbstractVectors; I see that the name-less constructor has an explicit check:
julia> table = KeyedArray(rand(3,3), ([1,2,3], (:cv_diff, :se_cv_diff, :weight)))
ERROR: ArgumentError: key vectors must all be AbstractVectors
Stacktrace:
[1] construction_check(data::Matrix{Float64}, keys::Tuple{Vector{Int64}, Tuple{Symbol, Symbol, Symbol}})
@ AxisKeys ~/.julia/dev/AxisKeys/src/struct.jl:28
[2] KeyedArray(data::Matrix{Float64}, keys::Tuple{Vector{Int64}, Tuple{Symbol, Symbol, Symbol}})
@ AxisKeys ~/.julia/dev/AxisKeys/src/struct.jl:13
The reason for this is that it wants to allow OffsetArrays, for which it needs always to think about axes
not size
, and Tuples have only the latter. It's possible that this could be worked around, but I'm not sure how much work it would be.
The named constructor accepts any number of keywords, and I didn't think you could also impose a type constraint:
julia> @less KeyedArray(rand(3,3); model=[1,2,3], statistic=(:cv_diff, :se_cv_diff, :weight))
julia> f1(; kw...) = kw;
julia> f1(; a=1, b=2)
pairs(::NamedTuple) with 2 entries:
:a => 1
:b => 2
julia> f2(; kw::Int...) = kw;
ERROR: syntax: "kw::Int" is not a valid function argument name around REPL[163]:1
It could perhaps be arranged that this hit the construction_check
error first, though.
from axiskeys.jl.
@mcabbott I would think you could replace the types in the constructor that say AbstractVector
with AbstractVecOrTuple
, then just insert this at the top of the constructor:
for kwarg in kwargs
if kwarg isa Tuple
kwarg = [kwarg[i] for i in length(kwarg)]
end
end
Which will convert the tuples to vectors.
from axiskeys.jl.
Related Issues (20)
- wrapdims(::DataFrame) produces incorrect results when not all key combinations are present HOT 4
- Feature request: aggregation function for wrapdims (and populate!)
- Ambiguity error: ProjectTo(::KeyedArray(...)))((::NoTangent)) HOT 1
- `vcat`/`hcat`/`cat` bug at edge case with one `KeyedArray` HOT 2
- `getindex(::KeyedVector, ::Colon, ::Colon)` is broken
- Document `setkey!` in the README
- Error trying to `show` KeyedArray with undef values
- `ProjectTo` is too permissive? HOT 3
- Broadcasting ambiguity
- Interpolation
- isequal violates transitive property HOT 1
- Error in `LinearAlgebra.copy_oftype` on addition of symmetric `KeyedArray` and `UniformScaling` HOT 2
- `eachslice` fails on v1.9-beta2 HOT 1
- Feature request: `empty!`
- unsupported keyword argument "time" when taking a gradient with Zygote HOT 1
- Wrong FFT results
- Maybe update `LazyStack` so that this warning vanishes in Julia 1.9 HOT 1
- Slicing with larger key vectors is slow HOT 2
- Support for NaNStatistics HOT 2
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from axiskeys.jl.