Jishnu Bhattacharya

As an example, consider the following snippet: ```julia copy(M::ArrayLayouts.MulAdd) @ ArrayLayouts ~/Dropbox/JuliaPackages/ArrayLayouts.jl/src/muladd.jl:72 72 copy(M::ArrayLayouts.MulAdd{BlockArrays.BlockLayout{ArrayLayouts.DenseColumnMajor, ArrayLayouts.UnknownLayout}, BlockArrays.BlockLayout{ArrayLayouts.DenseColumnMajor, ArrayLayouts.DenseColumnMajor}, ArrayLayouts.ZerosLayout, Float64, BlockMatrix{Float64, Matrix{SparseMatrixCSC{Float64, Int64}}, Tuple{BlockedUnitRange{Vector{Int64}}, BlockedUnitRange{Vector{Int64}}}}, BlockVector{Float64, Vector{Vector{Float64}}, Tuple{BlockedUnitRange{Vector{Int64}}}}, FillArrays.Zeros{Float64, 1, Tuple{BlockedUnitRange{Vector{Int64}}}}}::MulAdd)::BlockVector{Float64,...

```julia julia> using LinearAlgebra, Cthulhu julia> @descend (A -> ((λ,v) = eigen(A); (λ,v)))(rand(2,2)) (::var"#3#4")(A) @ Main REPL[8]:1 ┌ Warning: couldn't retrieve source of (::var"#3#4")(A) @ Main REPL[8]:1 └ @ TypedSyntax...

```julia julia> using BlockBandedMatrices, LinearAlgebra julia> @enter BlockSkylineMatrix{Bool}(I, 1:1, 1:4, ([0,0,0,0],[0,1,1,1])); In BlockSkylineMatrix(A, rdims, cdims, lu) at /home/jishnu/.julia/packages/BlockBandedMatrices/8oK1s/src/BlockSkylineMatrix.jl:264 >264 BlockSkylineMatrix{T}(A::Union{AbstractMatrix,UniformScaling}, 265 rdims::AbstractVector{Int}, cdims::AbstractVector{Int}, lu::NTuple{2,AbstractVector{Int}}) where T = 266 BlockSkylineMatrix{T}(A, BlockSkylineSizes(rdims,...

change 1:ndims(X) to ntuple(identity, ndims(X))

2

Fix #97

An example: https://github.com/JuliaMath/AbstractFFTs.jl/blob/a25656dfabf0f6c5067bc3f90a591c242da4b9be/src/definitions.jl#L62 Using a `Tuple` here will allow `ndims` to be constant-propagated without relying on the compiler. It also reduces allocations in various functions, as vectors don't need to...

Convert `eltype` using specific types

7

The conversion to `float` works, so ideally, conversions to specific element types should work as well: ```julia julia> float(0..1) 0.0..1.0 julia> Float64(0..1) ERROR: MethodError: no method matching Float64(::IntervalSets.ClosedInterval{Int64}) Closest candidates...

Move methods from `DomainSets.jl`

1

Currently, `DomainSets.jl` performs type-piracy with `Domain`, so this PR is an attempt to move the pirated methods to this package. This involves adding two lightweight dependencies, and the following is...

Move SpecialFunctions to an extension

1

This should address the primary concern raised in https://github.com/JuliaDiff/DualNumbers.jl/issues/94

Feature request: type annotation on variables in `@unpack`

1

E.g. ```julia julia> d1 = Dict(:a=>3, :b=>2.0) Dict{Symbol, Real} with 2 entries: :a => 3 :b => 2.0 julia> function f(d1) @unpack a = d1 a end f (generic function...