Package evaluation to test LinearAlgebra on Julia 1.14.0-DEV.1808 (1cd77b505e*) started at 2026-02-27T05:48:56.151 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 7.98s ################################################################################ # Installation # Installing LinearAlgebra... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [37e2e46d] + LinearAlgebra v1.13.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 0.6s LinearAlgebra is a standard library in this Julia build. ################################################################################ # Testing # Testing LinearAlgebra Status `/tmp/jl_oj7Fhj/Project.toml` [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 [4536629a] OpenBLAS_jll v0.3.30+0 [8e850b90] libblastrampoline_jll v5.15.0+0 Status `/tmp/jl_oj7Fhj/Manifest.toml` [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [f489334b] StyledStrings v1.13.0 [8dfed614] Test v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+0 [8e850b90] libblastrampoline_jll v5.15.0+0 Testing Running tests... [ Info: Testing unitful Test Summary: | Pass Total Time unitful specialized mul/div | 1872 1872 11m09.6s Test Summary: | Pass Total Time relty = Float32, elty = Float32 | 9 9 3.7s Test Summary: | Pass Total Time relty = Float32, elty = ComplexF32 | 9 9 2.7s Test Summary: | Pass Total Time relty = Float64, elty = Float64 | 9 9 3.0s Test Summary: | Pass Total Time relty = Float64, elty = ComplexF64 | 9 9 2.3s Test Summary: | Pass Total Time relty = BigFloat, elty = BigFloat | 9 9 3.3s Test Summary: | Pass Total Time relty = BigFloat, elty = Complex{BigFloat} | 9 9 2.4s Test Summary: | Pass Total Time testing dimensions with Furlongs #36430 | 1 1 0.5s Test Summary: | Pass Total Time dimensional Hessenberg | 120 120 14.2s Test Summary: | Pass Total Time lu factorization with dimension type | 3 3 0.7s Test Summary: | Pass Total Time zero and one for unitful structured matrices | 50 50 3.8s Test Summary: | Pass Total Time triangular: dimensional correctness | 10 10 4.1s Test Summary: | Pass Total Time unitful 3-arg * | 18 18 1.4s [ Info: Testing triangular2 Test Summary: | Pass Total Time elty1 = Float32 | 2066 2066 2m23.3s Test Summary: | Pass Total Time elty1 = Float64 | 2066 2066 2m02.9s Test Summary: | Pass Total Time elty1 = BigFloat | 2044 2044 1m52.1s Test Summary: | Pass Total Time elty1 = Int64 | 2610 2610 3m57.9s [ Info: Testing triangular3 Test Summary: | Pass Total Time elty1 = ComplexF32 | 2454 2454 2m09.8s Test Summary: | Pass Total Time elty1 = ComplexF64 | 2046 2046 1m39.5s Test Summary: | Pass Total Time elty1 = Complex{BigFloat} | 2024 2024 2m10.5s [ Info: Testing bidiag Test Summary: | Pass Total Time relty = Int64, elty = Int64 | 525 525 1m09.5s Test Summary: | Pass Total Time relty = Int64, elty = Complex{Int64} | 525 525 1m07.0s Test Summary: | Pass Total Time relty = Float32, elty = Float32 | 619 619 1m09.5s Test Summary: | Pass Total Time relty = Float32, elty = ComplexF32 | 527 527 47.3s Test Summary: | Pass Total Time relty = Float64, elty = Float64 | 619 619 1m03.3s Test Summary: | Pass Total Time relty = Float64, elty = ComplexF64 | 527 527 42.1s Test Summary: | Pass Total Time relty = BigFloat, elty = BigFloat | 541 541 51.9s Test Summary: | Pass Total Time relty = BigFloat, elty = Complex{BigFloat} | 515 515 58.8s Test Summary: | Pass Total Time Constructors with Char uplo | 1 1 0.1s Test Summary: | Pass Total Time promote_rule | 5 5 0.4s Test Summary: | Pass Total Time fill! and fillstored! | 22 22 0.9s Test Summary: | Pass Total Time pathological promotion (#24707) | 6 6 0.0s Test Summary: | Pass Total Time solve with matrix elements | 26 26 10.7s Test Summary: | Pass Total Time sum, mapreduce | 35 35 2.0s Test Summary: | Pass Total Time empty sub-diagonal | 1 1 1.3s Test Summary: | Pass Total Time generalized dot | 16 16 1.3s Test Summary: | Pass Total Time multiplication of bidiagonal and triangular matrix | 576 576 54.6s Test Summary: | Pass Total Time transpose for a non-numeric eltype | 3 3 0.3s Test Summary: | Pass Total Time empty bidiagonal matrices | 32 32 3.5s Test Summary: | Pass Total Time non-commutative algebra (#39701) | 4 4 2.1s Test Summary: | Pass Total Time Conversion to AbstractArray | 4 4 0.3s Test Summary: | Pass Total Time block-bidiagonal matrix | 75 75 2.7s Test Summary: | Pass Total Time copyto! | 7 7 0.7s Test Summary: | Pass Total Time copyto! with UniformScaling | 4 4 0.1s k = -4: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = -3: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = -2: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = -1: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = 0: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = 1: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = 2: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = 3: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 k = 4: Error During Test at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 Test threw exception Expression: B[diagind(B, k)] == M[diagind(M, k)] MethodError: Cannot `convert` an object of type Vector{Int64} to an object of type UnitRange{Int64} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: UnitRange{T}(::Any, !Matched::Any) where T<:Real @ Base range.jl:419 convert(::Type{T}, !Matched::AbstractRange) where T<:AbstractRange @ Base range.jl:278 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Char) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:14 [2] Bidiagonal{Int64, UnitRange{Int64}}(dv::Vector{Int64}, ev::Vector{Int64}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:18 [3] Bidiagonal{Int64, UnitRange{Int64}}(A::Bidiagonal{Int64, UnitRange{Int64}}, uplo::Symbol) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:110 [4] convert(::Type{Bidiagonal{Int64, UnitRange{Int64}}}, A::Bidiagonal{Int64, UnitRange{Int64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/bidiag.jl:253 [5] Base.ReshapedArray{Int64, 1, Bidiagonal{Int64, UnitRange{Int64}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:6 [6] Base.ReshapedArray(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}, mi::Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}) @ Base ./reshapedarray.jl:10 [7] __reshape(p::Tuple{Bidiagonal{Int64, UnitRange{Int64}}, IndexCartesian}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:240 [8] _reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:224 [9] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, dims::Tuple{Int64}) @ Base ./reshapedarray.jl:128 [10] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, shp::Tuple{Base.OneTo{Int64}}) @ Base ./reshapedarray.jl:126 [11] reshape(parent::Bidiagonal{Int64, UnitRange{Int64}}, ndims::Val{1}) @ Base ./reshapedarray.jl:188 [12] __maybe_reshape @ ./multidimensional.jl:991 [inlined] [13] _maybe_reshape @ ./multidimensional.jl:989 [inlined] [14] _getindex @ ./multidimensional.jl:984 [inlined] [15] getindex(A::Bidiagonal{Int64, UnitRange{Int64}}, I::StepRange{Int64, Int64}) @ Base ./abstractarray.jl:1356 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:896 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2324 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:895 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [21] top-level scope @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:893 Test Summary: | Error Total Time diagind | 9 9 3.7s k = -4 | 1 1 3.4s k = -3 | 1 1 0.0s k = -2 | 1 1 0.0s k = -1 | 1 1 0.0s k = 0 | 1 1 0.0s k = 1 | 1 1 0.0s k = 2 | 1 1 0.0s k = 3 | 1 1 0.0s k = 4 | 1 1 0.0s RNG of the outermost testset: Random.Xoshiro(0xfff0241072ddab67, 0xc53bc12f4c3f0b4e, 0x56d451780b2dd4ba, 0x50a4aa153d208dd8, 0x3649a58b3b63d5db) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 9 errored, 0 broken. in expression starting at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/bidiag.jl:3 in expression starting at /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/test/runtests.jl:11 Testing failed after 2415.6s ERROR: LoadError: Package LinearAlgebra errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:323 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2433.46s: package tests unexpectedly errored