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Concatenation with UniformScaling and numbers #41394

Merged
merged 5 commits into from
Jul 4, 2021
Merged

Concatenation with UniformScaling and numbers #41394

merged 5 commits into from
Jul 4, 2021

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dkarrasch
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Rebase of #33363.

This allows to concatenate matrices, numbers and uniform scalings.

Fixes JuliaLang/LinearAlgebra.jl#666. Closes #33363.

@dkarrasch dkarrasch added arrays [a, r, r, a, y, s] linear algebra Linear algebra labels Jun 28, 2021
@dkarrasch dkarrasch requested review from mbauman and stevengj June 29, 2021 15:52
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@vtjnash vtjnash left a comment

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I made your comment into a suggestion. If you approve/commit that, I think we can immediately merge (i.e. add the merge-me tag)

stdlib/LinearAlgebra/src/uniformscaling.jl Show resolved Hide resolved
Co-authored-by: Jameson Nash <vtjnash@gmail.com>
@dkarrasch dkarrasch added the merge me PR is reviewed. Merge when all tests are passing label Jul 2, 2021
@dkarrasch dkarrasch merged commit 18f2f9f into master Jul 4, 2021
@dkarrasch dkarrasch deleted the dk/uf_cat branch July 4, 2021 09:36
@dkarrasch dkarrasch removed the merge me PR is reviewed. Merge when all tests are passing label Jul 4, 2021
johanmon pushed a commit to johanmon/julia that referenced this pull request Jul 5, 2021
Co-authored-by: Jameson Nash <vtjnash@gmail.com>
@JeffBezanson
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Interestingly (for the type system), this made the humble call methods(hvcat, (Tuple{Int,Int},Any,Any,Any,Any,Any,Any,Int,Int)) take >50 seconds, which also affects some compile times.

@dkarrasch
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dkarrasch commented Jul 22, 2021

@JeffBezanson So how do we handle this slowdown? #41511 is a small PR on top of this one to avoid method ambiguities. Are we going to keep this one here and try to improve it or revert it and tackle the issue from scratch with latency checks included?

Scratch that, I just saw that #41511 already has a triage label.

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Concatenation with I (UniformScaling) fails with numbers
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