dropdims fails

[3f6a]

This would work if A were a normal matrix:

julia> A = @SMatrix randn(2,2)
2×2 SMatrix{2, 2, Float64, 4} with indices SOneTo(2)×SOneTo(2):
 -0.663672  2.31438
  0.166198  1.26303

julia> dropdims(mean(A; dims=2); dims=2)
ERROR: TypeError: in typeassert, expected Tuple{SOneTo{1}}, got a value of type Tuple{SOneTo{2}}
Stacktrace:
 [1] _dropdims(A::SMatrix{2, 1, Float64, 2}, dims::Tuple{Int64})
   @ Base ./abstractarraymath.jl:92
 [2] _dropdims(A::SMatrix{2, 1, Float64, 2}, dim::Int64)
   @ Base ./abstractarraymath.jl:94
 [3] dropdims(A::SMatrix{2, 1, Float64, 2}; dims::Int64)
   @ Base ./abstractarraymath.jl:82
 [4] top-level scope
   @ REPL[26]:1

[charleskawczynski]

I'm running into the same thing:

julia> mm = MArray{Tuple{3,3,1},Float64}(rand(3,3,1))
3×3×1 MArray{Tuple{3, 3, 1}, Float64, 3, 9} with indices SOneTo(3)×SOneTo(3)×SOneTo(1):
[:, :, 1] =
 0.0306304  0.0559625  0.409032
 0.147117   0.462261   0.614837
 0.20505    0.940826   0.937225

julia> dropdims(mm, dims=3)
ERROR: TypeError: in typeassert, expected Tuple{SOneTo{3}, SOneTo{1}}, got a value of type Tuple{SOneTo{3}, SOneTo{3}}
Stacktrace:
 [1] _dropdims(A::MArray{Tuple{3, 3, 1}, Float64, 3, 9}, dims::Tuple{Int64})
   @ Base ./abstractarraymath.jl:92
 [2] _dropdims(A::MArray{Tuple{3, 3, 1}, Float64, 3, 9}, dim::Int64)
   @ Base ./abstractarraymath.jl:94
 [3] dropdims(A::MArray{Tuple{3, 3, 1}, Float64, 3, 9}; dims::Int64)
   @ Base ./abstractarraymath.jl:82
 [4] top-level scope
   @ REPL[27]:1