doctest failure in ~/work/SparseConnectivityTracer.jl/SparseConnectivityTracer.jl/src/adtypes.jl:18-29 ```jldoctest julia> using ADTypes, SparseConnectivityTracer julia> f(x) = x[1] + x[2]*x[3] + 1/x[4]; julia> ADTypes.hessian_sparsity(f, rand(4), TracerSparsityDetector()) 4×4 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ 1 ``` Subexpression: ADTypes.hessian_sparsity(f, rand(4), TracerSparsityDetector()) Evaluated output: 4×4 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 2 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 Expected output: 4×4 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ 1 diff = Warning: Diff output requires color. 4×4 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 2 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1

doctest failure in ~/work/SparseConnectivityTracer.jl/SparseConnectivityTracer.jl/src/pattern.jl:167-189 ```jldoctest julia> x = rand(5); julia> f(x) = x[1] + x[2]*x[3] + 1/x[4] + 1*x[5]; julia> hessian_pattern(f, x) 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ julia> g(x) = f(x) + x[2]^x[5]; julia> hessian_pattern(g, x) 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 7 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 1 ⋅ 1 ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ 1 ``` Subexpression: hessian_pattern(f, x) Evaluated output: 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 2 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ Expected output: 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ diff = Warning: Diff output requires color. 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 2 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅

doctest failure in ~/work/SparseConnectivityTracer.jl/SparseConnectivityTracer.jl/src/pattern.jl:167-189 ```jldoctest julia> x = rand(5); julia> f(x) = x[1] + x[2]*x[3] + 1/x[4] + 1*x[5]; julia> hessian_pattern(f, x) 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 3 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ julia> g(x) = f(x) + x[2]^x[5]; julia> hessian_pattern(g, x) 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 7 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 1 ⋅ 1 ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ 1 ``` Subexpression: hessian_pattern(g, x) Evaluated output: 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 5 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 1 ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ 1 Expected output: 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 7 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 1 ⋅ 1 ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ 1 diff = Warning: Diff output requires color. 5×5 SparseArrays.SparseMatrixCSC{Bool, UInt64} with 7 5 stored entries: ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 1 ⋅ 1 ⋅ 1 ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ 1 ⋅ ⋅ 1 ⋅ ⋅ ⋅ 1

Process completed with exit code 1.

Process completed with exit code 1.

Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/cache@4d4ae6ae148a43d0fd1eda1800170683e9882738, pyTooling/Actions/with-post-step@adef08d3bdef092282614f3b683897cefae82ee3. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.