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LinearAlgebra: Type-stability in broadcasting numbers over Bidiagonal (…
…#54067) This makes the following type-stable: ```julia julia> B = Bidiagonal(rand(3), rand(2), :U); julia> @inferred (B -> B .* 2)(B) 3×3 Bidiagonal{Float64, Vector{Float64}}: 0.3929 1.93165 ⋅ ⋅ 1.61301 1.00202 ⋅ ⋅ 1.96483 ``` Similarly, for other operations involving a single `Bidiagonal` and numbers. This is not type-stable on master, as the number of `Bidiagonal` matrices in a broadcast operation is not tracked (even though this is used in promoting the `uplo`). Since the `uplo` can't be constant-propagated, we count this by introducing an additional flag in the promotion mechanism, which is entirely determined by the types of the terms in the broadcast operation. --------- Co-authored-by: N5N3 <2642243996@qq.com> (cherry picked from commit 685f527)
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