Comments (1)
What's going on is that there is special handling for the diagonal elements of a matrix, but nothing is written for repeated indices in higher dimensional arrays. There's no built-in analog of Diagonal here which does more dimensions:
julia> let v = randn(3)
@pretty @cast _[i,i] := v[i]
end
begin
@boundscheck v isa Tuple || (ndims(v) == 1 || throw(ArgumentError("expected a vector or tuple v[i]")))
wolf = Diagonal(v)
end
The extent of the documentation is this, maybe it should say more:
https://docs.juliahub.com/TensorCast/lkx9a/0.4.6/basics/#Repeated-indices
from tensorcast.jl.
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from tensorcast.jl.