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transpose fails on a Matrix of Vectors #318
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A julia> a = [[i] for i in 1:3]
3-element Array{Array{Int64,1},1}:
[1]
[2]
[3]
julia> a'
ERROR: MethodError: Cannot `convert` an object of type Array{Int64,2} to an object of type Array{Int64,1}
You might have used a 2d row vector where a 1d column vector was required.
Note the difference between 1d column vector [1,2,3] and 2d row vector [1 2 3].
You can convert to a column vector with the vec() function.
This may have arisen from a call to the constructor Array{Int64,1}(...),
since type constructors fall back to convert methods.
Closest candidates are:
convert{T}(::Type{Array{T,1}}, ::Range{T})
convert{T,S,N}(::Type{Array{T,N}}, ::SubArray{S,N,P,I,L})
convert{T,n}(::Type{Array{T,n}}, ::Array{T,n})
...
[inlined code] from ./arraymath.jl:378
in ctranspose(::Array{Array{Int64,1},1}) at ./arraymath.jl:381
in eval(::Module, ::Any) at ./boot.jl:267 |
You are in for a ride #42 |
Hmm. Perhaps not entirely orthogonal to the discussion in #42 on whether transposition is an operation that interchanges some dimensions or one that turns a vector into a linear functional, is recursive "deeptranspose" really what
Does that seem right? |
Sorry for the delay here. I think both of your suggestions are good and it would be great if you would prepare a PR. |
Are there some things left to do here? |
I think there is. The original example still fails. |
Works on Julia master.
|
I think the behaviour should be along the lines of:
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