Extra singleton dimension appears during casting about tensorcast.jl HOT 2 OPEN

julia> euclideanize(P[:,4,:])
2×100 Matrix{Float64}:
 1.93102   1.61322  0.727326  0.626134  1.35614   …  1.27111   0.463712  2.29733  2.68379
 0.113882  1.52248  1.03129   0.626155  0.292362     0.839144  0.118597  1.97182  6.95894

julia> @cast u[i,k] := euclideanize(P[:,4,:])[i,k]; summary(u)
"2×100×1 lazystack(::Tuple{Matrix{Float64}}) with eltype Float64"

julia> @pretty @cast u[i,k] := euclideanize(P[:,4,:])[i,k]
begin
    @boundscheck ndims(P) == 3 || throw(ArgumentError("expected a 3-tensor P[:, 4, :]"))
    local dolphin = sliceview(view(P, :, 4, :), (:, :))
    local pig = @__dot__(euclideanize(dolphin))
    local armadillo = lazystack(pig)
    u = armadillo
end

julia> TensorCast.sliceview(view(P, :, 4, :), (:, :)) |> summary
"0-dimensional Array{SubArray{Float64, 2, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Int64, Base.Slice{Base.OneTo{Int64}}}, false}, 0}"

julia> TensorCast.sliceview(view(P, :, 4, :), (:, :)) .|> euclideanize |> summary
"2×100 Matrix{Float64}"

julia> TensorCast.sliceview(view(P, :, 4, :), (:, :)) .|> euclideanize |> TensorCast.lazystack |> summary
"2×100×1 lazystack(::Tuple{Matrix{Float64}}) with eltype Float64"