Tests
- LinearAlgebra/bidiag/relty = BigFloat, elty = Complex{BigFloat}/getindex, setindex!, size, and similar @test begin cubd[2, 1] = 0 #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-123a556434/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:95 =# cubd == ubd endstdlib/LinearAlgebra/test/bidiag.jl:95github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.UnitUpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = 1.742641734847379 - 0.258096629762333im, β = false/adjoint and transpose/fa = adjoint, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = BigFloat, elty = Complex{BigFloat}/uplo = L/diag @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-93da645175/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:394 =# @inferred(diag(T, 2))::typeof(dv) == zeros(elty, n - 2)stdlib/LinearAlgebra/test/bidiag.jl:394github100% reliable0μs average duration
- cartesian/CartesianIndices getindex/AbstractUnitRange @test all((i->begin #= /cache/build/default-aws-aarch64-ci-1-4/julialang/julia-master/julia-93da645175/share/julia/test/cartesian.jl:177 =# i in R end), collect(R))share/julia/test/cartesian.jl:177github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitLowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 0.65379243811424647692120970532414503395557403564453125, β = 0.65379243811424647692120970532414503395557403564453125/β = 0 ignores C .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = -1.62742093460246106673139365739189088344573974609375, β = 0.0/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Tridiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = true, β = -1.9012631735742316/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = true, β = 0.0/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 1.0, β = false/adjoint and transpose/fa = identity, fb = adjoint @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.SymTridiagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = true, β = 0.1707820275025649092714985499696922488510608673095703125/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = Float64, elty = Float64/uplo = L/diag @test #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-0e5f28168c/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:400 =# @inferred(diag(G))::typeof(gdv) == gdvstdlib/LinearAlgebra/test/bidiag.jl:400github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = true, β = -1.1199065795277103/adjoint and transpose/fa = transpose, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- Dates/periods/Period arithmetic @test_throws nothing Dates.Year(Float32(1.2)) == ystdlib/Dates/test/periods.jl:131github100% reliable0μs average duration
- rational/gcdx for 1 and 3+ arguments @test #= /cache/build/tester-amdci5-8/julialang/julia-master/julia-1b98f1e44e/share/julia/test/rational.jl:721 =# @inferred(gcdx(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) isa NTuple{11, Int}share/julia/test/rational.jl:721github100% reliable0μs average duration
- arrayops/issue #18363 @test cumsum([[true], [true], [false]])::Vector{Vector{Int}} == [[1], [2], [2]]share/julia/test/arrayops.jl:2653github100% reliable0μs average duration
- Compiler/codegen @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-x64-5.0/build/default-macmini-x64-5-0/julialang/julia-master/julia-400d0b12d2/share/julia/Compiler/test/codegen.jl:418 =# @allocated(g33829()) == 0share/julia/Compiler/test/codegen.jl:418github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = ComplexF64/mat_type = LinearAlgebra.Tridiagonal/Multiplication with strided matrix/vector @test begin X = fill(1.0, n, 2) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-3360a44a4d/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:339 =# A * X ≈ Array(A) * X endstdlib/LinearAlgebra/test/tridiag.jl:339github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{BigFloat, S} where S<:(AbstractMatrix{<:BigFloat}), ::LinearAlgebra.UpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = true, β = false/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-93da645175/share/julia/stdlib/v1.13/Printf/test/runtests.jl:1075 =# Printf.@sprintf("%0-*d", 20, -1024) == #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-93da645175/share/julia/stdlib/v1.13/Printf/test/runtests.jl:1075 =# Printf.@sprintf("%0-20d", -1024)stdlib/Printf/test/runtests.jl:1075github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for ComplexF64/A = ComplexF64[-2.0543555194988925 + 0.6536563170801449im 0.4742265672302439 - 0.3043459785738284im -0.260962307124459 + 1.7014702196162579im 0.3613449263767023 - 0.6398535478068218im -0.519153251013159 - 2.4867493732612966im 0.2977900109436812 + 0.4397432583989833im -0.4576040462283031 + 1.2586646426578798im 0.26524756118872617 - 1.7445783077510282im -0.39082384144141114 + 0.16913714225206772im -1.4322763069300997 - 0.930584693890294im; 3.97941489117557 - 0.8040052352659963im 0.01017811391124998 + 1.858146188517493im 0.23517206661009354 - 0.4943497809505052im 0.5277445531549447 - 2.4291705392563694im 0.5431665758925361 - 1.7416991158267197im 1.4920028919331743 + 0.42671235125559254im -1.4134056229490386 + 0.2257492917042725im -1.448818772289001 + 1.3402691243169325im 0.8506698583345675 - 0.12443871701808773im 0.82785857067847 + 0.34572805869719625im; -1.0035909966475064e-16 + 1.7680334752232207e-16im -3.484751434056672 + 0.036976746582023684im 0.608789652246213 @test abs.(A) ≈ abs.((hessenberg(Ac)).H)stdlib/LinearAlgebra/test/givens.jl:51github100% reliable0μs average duration