Repeat example from the docs is broken about tensorcast.jl HOT 5 CLOSED

x = rand(3, 4)
@test repeat(x, 1, 2) == @cast _[h, (w, 2)] :=  x[h, w]
# or
@test repeat(x, 1, 2) == @cast _[h, (w, j)] :=  x[h, w] (j in 1:2)

julia> R = randn(3, 3*4);  # write in-place, easier:

julia> @cast R[r,(n,c)] = M[r,c]^2  # (n in 1:3)  # n can be inferred
ERROR: LoadError: index n appears only on the left
Stacktrace:
 [1] checkallseen ...
 [2] _macro(exone::Expr, extwo::Nothing, exthree::Nothing; call::TensorCast.CallInfo, dict::Dict{Any, Any})
   @ TensorCast ~/.julia/dev/TensorCast/src/macro.jl:199

# comment out check on line 199 and it works:

julia> @cast R[r,(n,c)] = M[r,c]^2  # (n in 1:3)
3×3×4 Array{Float64, 3}:
[:, :, 1] =
 1.0  1.0  1.0
 4.0  4.0  4.0
...

julia> R  # line above returns the wrong thing, reshaped rather than R itself:
3×12 Matrix{Float64}:
 1.0  1.0  1.0  16.0  16.0  16.0  49.0  49.0  49.0  100.0  100.0  100.0
 4.0  4.0  4.0  25.0  25.0  25.0  64.0  64.0  64.0  121.0  121.0  121.0
 9.0  9.0  9.0  36.0  36.0  36.0  81.0  81.0  81.0  144.0  144.0  144.0

# out-of-place again:

julia> @cast R[r,(n,c)] := M[r,c]^2  (n in 1:3)
ERROR: DimensionMismatch: new dimensions (3, 12) must be consistent with array size 12

julia> @pretty @cast R[r,(n,c)] := M[r,c]^2  (n in 1:3)
begin
    @boundscheck ndims(M) == 2 || throw(ArgumentError("expected a 2-tensor M[r, c]"))
    local (ax_c, ax_n, ax_r) = (axes(M, 2), OneTo(3), axes(M, 1))
    local spider = transmute(M, Val((1, nothing, 2)))
    R = reshape(@__dot__(spider ^ 2), (ax_r, star(ax_n, ax_c)))
end

julia> @cast R[r,(n,c)] := M[r,c]^2 + 0n  (n in 1:3)
3×12 Matrix{Int64}:
 1  1  1  16  16  16  49  49  49  100  100  100
 4  4  4  25  25  25  64  64  64  121  121  121
 9  9  9  36  36  36  81  81  81  144  144  144