Package evaluation of NiLang on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T08:22:04.908 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.88s ################################################################################ # Installation # Installing NiLang... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [ab4ef3a6] + NiLang v0.9.4 Updating `~/.julia/environments/v1.11/Manifest.toml` [53c48c17] + FixedPointNumbers v0.8.5 [aa2f6b4e] + LogarithmicNumbers v1.4.0 [d8e11817] + MLStyle v0.4.17 [ab4ef3a6] + NiLang v0.9.4 [575d3204] + NiLangCore v0.10.7 [189a3867] + Reexport v1.2.2 [10745b16] + Statistics v1.11.1 [9d95972d] + TupleTools v1.6.0 [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.27+1 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 1.94s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 55.73s ################################################################################ # Testing # Testing NiLang Status `/tmp/jl_2JQmRq/Project.toml` [31c24e10] Distributions v0.25.118 [26cc04aa] FiniteDifferences v0.12.32 [53c48c17] FixedPointNumbers v0.8.5 [aa2f6b4e] LogarithmicNumbers v1.4.0 [d8e11817] MLStyle v0.4.17 [ab4ef3a6] NiLang v0.9.4 [575d3204] NiLangCore v0.10.7 [189a3867] Reexport v1.2.2 [10745b16] Statistics v1.11.1 [9d95972d] TupleTools v1.6.0 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_2JQmRq/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [d360d2e6] ChainRulesCore v1.25.1 [34da2185] Compat v4.16.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [1a297f60] FillArrays v1.13.0 [26cc04aa] FiniteDifferences v0.12.32 [53c48c17] FixedPointNumbers v0.8.5 [34004b35] HypergeometricFunctions v0.3.28 [92d709cd] IrrationalConstants v0.2.4 [692b3bcd] JLLWrappers v1.7.0 [2ab3a3ac] LogExpFunctions v0.3.29 [aa2f6b4e] LogarithmicNumbers v1.4.0 [d8e11817] MLStyle v0.4.17 [e1d29d7a] Missings v1.2.0 [ab4ef3a6] NiLang v0.9.4 [575d3204] NiLangCore v0.10.7 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [189a3867] Reexport v1.2.2 [708f8203] Richardson v1.4.2 [79098fc4] Rmath v0.8.0 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.4.0 [9d95972d] TupleTools v1.6.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [8e850b90] libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Test Summary: | Pass Total Time vars.jl | 2 2 0.7s Test Summary: | Pass Total Time utils.jl | 1 1 29.5s 3 + 2im.im Test Summary: | Pass Total Time wrappers.jl | 19 19 2.8s Test Summary: | Pass Total Time instructs.jl | 44 44 4.4s Test Summary: | Pass Total Time complex.jl | 17 17 3.5s Test Summary: | Pass Total Time ulog.jl | 10 10 0.7s Test Summary: | Pass Total Time macros.jl | 8 8 4.6s Test Summary: | Pass Total Time autobcast.jl | 23 23 0.9s deallocate fail `x.g → zero(x.x)` NoGrad{Float64}(0.5) ngs = [0.9999999999621422, 2.4999999999941735, -2.0000000000131024] gs = (1.0, 2.5, -2.0) ngs = [1.0000000000065512, 1.0000000000065512] gs = (1.0, 1.0) ngs = [0.9999999999621422, 2.0000000000131024, 2.0000000000131024] gs = (1.0, 2.0, 2.0) ngs = [0.9999999999621422, 0.9999999999621422, 0.9999999999621422] gs = (1.0, 1.0, 1.0) ngs = [0.9999999999954489, 1.0000000000065512, -1.0000000000065512] gs = (1.0, 1.0, -1.0) ngs = Real[0.9999999999621422, 3.9999999999373865, 0] gs = (1.0, 4.0, 0) ngs = [0.9999999999621422, 3.9999999999373865, 2.7725887222551644] gs = (1.0, 4.0, 2.772588722239781) ngs = [0.9999999999843466, -0.24999999999053554] gs = (1.0, -0.25) ngs = [1.0000000000065512, 0.35355339056408747] gs = (1.0, 0.35355339059327373) ngs = [1.0000000000065512, -0.9999999999621422] gs = (1.0, -1.0) ngs = [0.9999999999621422, -3.9999999998485687] gs = (1.0, -4.0) ngs = [0.9999999999621422, 7.389056099071921] gs = (1.0, 7.38905609893065) ngs = [1.0000000000065512, 0.5000000000032756] gs = (1.0, 0.5) ngs = [1.0000000000065512, -0.4161468365460052] gs = (1.0, -0.4161468365471424) ngs = [0.9999999999621422, 3.762195691070502] gs = (1.0, 3.7621956910836314) ngs = [1.0000000000065512, 1.0206207261775901] gs = (1.0, 1.0206207261596576) ngs = [1.0000000000065512, -0.9092974268321007] gs = (1.0, -0.9092974268256817) ngs = [0.9999999999621422, 3.6268604079126017] gs = (1.0, 3.6268604078470186) ngs = [1.0000000000065512, -1.0206207261553857] gs = (1.0, -1.0206207261596576) ngs = [0.9999999999843466, 5.774399204794277] gs = (1.0, 5.774399204041917) ngs = [0.9999999999843466, 0.07065082485713248] gs = (1.0, 0.07065082485316443) ngs = [0.9999999999954489, 0.19999999998354664] gs = (1.0, 0.2) ngs = [0.9999999999954489, 0.2399999999957991, 0.3199999999980996] gs = (1.0, 0.24, 0.32) ngs = [0.9999999974752426, 0.9999999974752426] gs = (1.0Q20f43, 1.0) ngs = [1.0000000000065512, 0.5000000000032756, -0.4999999999810711] gs = (1.0, 0.5, -0.5) ngs = [1.0000000000065512, 1.0000000000065512, 0.0] gs = (1.0, 1.0, 0.0) ngs = [1.0000000000065512, 0.0, 1.0000000000065512] gs = (1.0, 0.0, 1.0) ngs = [1.0000000000065512, 0.0, 1.0000000000065512] gs = (1.0, 0.0, 1.0) ngs = [1.0000000000065512, 1.0000000000065512, 0.0] gs = (1.0, 1.0, 0.0) ngs = [1.0000000000065512, 99999.99999999999, -99999.99999999999] gs = (1.0, 0.0, 0.0) gradient not match: [1.0000000000065512, 99999.99999999999, -99999.99999999999] v.s. (1.0, 0.0, 0.0) ngs = [0.9999999999843466, -1.0000000000065512] gs = (1.0, -1.0) ngs = [1.0000000000065512, -2.0000000000131024, -2.0000000000131024] gs = (1.0, -2.0, -2.0) ngs = [1.0000000000065512, -1.0000000000065512, -1.0000000000065512] gs = (1.0, -1.0, -1.0) ngs = [0.9999999999954489, -1.0000000000065512, 1.0000000000065512] gs = (1.0, -1.0, 1.0) ngs = Real[1.0000000000065512, -3.9999999999817955, 0] gs = (1.0, -4.0, 0) ngs = [1.0000000000065512, -3.9999999999817955, -2.7725887222551644] gs = (1.0, -4.0, -2.772588722239781) ngs = [0.9999999999954489, 0.2500000000016378] gs = (1.0, 0.25) ngs = [0.9999999999954489, -0.3535533905862919] gs = (1.0, -0.35355339059327373) ngs = [0.9999999999843466, 0.9999999999843466] gs = (1.0, 1.0) ngs = [1.0000000000065512, 3.9999999998929776] gs = (1.0, 4.0) ngs = [0.9999999999621422, -7.389056098983104] gs = (1.0, -7.38905609893065) ngs = [0.9999999999954489, -0.5000000000032756] gs = (1.0, -0.5) ngs = [0.9999999999954489, 0.4161468365460052] gs = (1.0, 0.4161468365471424) ngs = [1.0000000000065512, -3.762195691114911] gs = (1.0, -3.7621956910836314) ngs = [0.9999999999954489, -1.020620726166488] gs = (1.0, -1.0206207261596576) ngs = [0.9999999999843466, 0.9092974268209985] gs = (1.0, 0.9092974268256817) ngs = [1.0000000000065512, -3.6268604078681927] gs = (1.0, -3.6268604078470186) ngs = [0.9999999999954489, 1.0206207261775901] gs = (1.0, 1.0206207261596576) ngs = [1.0000000000065512, -5.774399204794277] gs = (1.0, -5.774399204041917) ngs = [0.9999999999954489, -0.07065082485713248] gs = (1.0, -0.07065082485316443) ngs = [1.0000000000065512, -0.19999999998354664] gs = (1.0, -0.2) ngs = [1.0000000000065512, -0.24000000000690133, -0.31999999998699735] gs = (1.0, -0.24, -0.32) ngs = [0.9999999974752426, -0.9999999974752426] gs = (1.0Q20f43, -1.0) ngs = [0.9999999999954489, -0.5000000000032756, 0.5000000000143778] gs = (1.0, -0.5, 0.5) ngs = [0.9999999999843466, -1.0000000000065512, 0.0] gs = (1.0, -1.0, 0.0) ngs = [0.9999999999843466, 0.0, -1.0000000000065512] gs = (1.0, 0.0, -1.0) ngs = [0.9999999999843466, 0.0, -1.0000000000065512] gs = (1.0, 0.0, -1.0) ngs = [0.9999999999843466, -1.0000000000065512, 0.0] gs = (1.0, -1.0, 0.0) ngs = [0.9999999999954489, -99999.99999999999, 99999.99999999999] gs = (1.0, 0.0, 0.0) gradient not match: [0.9999999999954489, -99999.99999999999, 99999.99999999999] v.s. (1.0, 0.0, 0.0) ngs = [-0.9999999999954489] gs = -1.0 ngs = [-0.11111111111183901] gs = -0.1111111111111111 ngs = [0.9999999999621422] gs = 1.0 ngs = [1.0000000000065512] gs = 1.0 ngs = [1.0000000000065512] gs = 1.0 ngs = [0.9999999999954489] gs = 1.0 ngs = [-0.4161468365460052, -0.9092974268209985, -0.07700375372898804] gs = (-0.4161468365471424, -0.9092974268256817, -0.07700375373139678) ngs = [0.9092974268209985, -0.41614683656820967, -2.2347416902324113] gs = (0.9092974268256817, -0.4161468365471424, -2.234741690198506) ngs = [-0.4161468365460052, 0.9092974268209985, -1.7415910999352133] gs = (-0.4161468365471424, 0.9092974268256817, -1.7415910999199666) ngs = [-0.9092974268209985, -0.4161468365460052, -1.4024480171404006] gs = (-0.9092974268256817, -0.4161468365471424, -1.402448017104221) ngs = [0.7071067811725839, 0.7071067811725839] gs = (0.7071067811865476, 0.7071067811865476) ngs = [0.7071067811836861, -0.7071067811836861] gs = (0.7071067811865476, -0.7071067811865476) ngs = Real[0, 0.9999999999621422, 2.0000000000131024] gs = (0, 1.0, 2.0) ngs = Real[0, 0.9999999999621422, 0.9999999999621422] gs = (0, 1.0, 1.0) ngs = Real[0, 0.9999999999954489, 1.0000000000065512] gs = (0, 1.0, 1.0) ngs = Real[0, 0.9999999999621422, 3.9999999999373865] gs = (0, 1.0, 4.0) ngs = Real[0, 0.9999999999954489, 0.2500000000016378] gs = (0, 1.0, 0.25) ngs = Real[0, 1.0000000000065512, 0.5000000000032756] gs = (0, 1.0, 0.5) ngs = Real[0, 1.0000000000065512, -2.0000000000131024] gs = (0, 1.0, -2.0) ngs = Real[0, 1.0000000000065512, -1.0000000000065512] gs = (0, 1.0, -1.0) ngs = Real[0, 0.9999999999954489, -1.0000000000065512] gs = (0, 1.0, -1.0) ngs = Real[0, 1.0000000000065512, -3.9999999999817955] gs = (0, 1.0, -4.0) ngs = Real[0, 0.9999999999843466, -0.25000000001274003] gs = (0, 1.0, -0.25) ngs = Real[0, 0.9999999999954489, -0.5000000000032756] gs = (0, 1.0, -0.5) ngs = Real[0, 0.9999999999621422, 2.0000000000131024] gs = (0, 1.0, 2.0) ngs = Real[0, 0.9999999999621422, 0.9999999999621422] gs = (0, 1.0, 1.0) ngs = Real[0, 0.9999999999954489, -1.0000000000065512] gs = (0, 1.0, -1.0) ngs = Real[0, 0.9999999999621422, 2.7725887222551644] gs = (0, 1.0, 2.772588722239781) ngs = Real[0, 1.0000000000065512, -0.24999999999053554] gs = (0, 1.0, -0.25) ngs = Real[0, 1.0000000000065512, -0.4999999999810711] gs = (0, 1.0, -0.5) ngs = Real[0, 1.0000000000065512, -2.0000000000131024] gs = (0, 1.0, -2.0) ngs = Real[0, 1.0000000000065512, -1.0000000000065512] gs = (0, 1.0, -1.0) ngs = Real[0, 0.9999999999954489, 1.0000000000065512] gs = (0, 1.0, 1.0) ngs = Real[0, 1.0000000000065512, -2.7725887222551644] gs = (0, 1.0, -2.772588722239781) ngs = Real[0, 0.9999999999843466, 0.24999999999053554] gs = (0, 1.0, 0.25) ngs = Real[0, 0.9999999999954489, 0.5000000000143778] gs = (0, 1.0, 0.5) ngs = Real[0, -0.4161468365460052, -0.9092974268209985] gs = (0, -0.4161468365471424, -0.9092974268256817) ngs = Real[0, 0.9092974268209985, -0.41614683656820967] gs = (0, 0.9092974268256817, -0.4161468365471424) ngs = Real[0, -0.4161468365460052, 0.9092974268209985] gs = (0, -0.4161468365471424, 0.9092974268256817) ngs = Real[0, -0.9092974268209985, -0.4161468365460052] gs = (0, -0.9092974268256817, -0.4161468365471424) ngs = [1.0000000000065512, 0.0, -0.4161468365460052] gs = (1.0, 0.0, -0.4161468365471424) ngs = [0.0, 1.0000000000065512, -0.9092974268209985] gs = (0.0, 1.0, -0.9092974268256817) ngs = Any[0.9999999999954489, 0.0, [0.0, 0.0, 0.0, 0.2500000000016378]] gs = (1.0, 0.0, [0.0, 0.0, 0.0, 0.25]) WARNING: using FiniteDifferences.grad in module Main conflicts with an existing identifier. ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, 1.0000000000065512, 0.0] gs = (0, 1.0, 1.0 + 0.0im, 1.0, 0.0) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 0.0, 0.9999999999621422] gs = (0, 1.0, 0.0 + 1.0im, 0.0, 1.0) ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, 1.0000000000065512 + 0.0im] gs = (0, 1.0, 1.0 + 0.0im, 1.0 + 0.0im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 0.0 + 1.0000000000509601im] gs = (0, 1.0, 0.0 + 1.0im, 0.0 + 1.0im) ngs = Number[0, 0.9999999999621422, 0.9999999999621422 + 0.0im, 0.9999999999621422 + 0.0im, 0.9999999999621422 + 0.0im] gs = (0, 1.0, 1.0 + 0.0im, 1.0 + 0.0im, 1.0 + 0.0im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 0.0 + 1.0000000000509601im, 0.0 + 0.9999999999621422im] gs = (0, 1.0, 0.0 + 1.0im, 0.0 + 1.0im, 0.0 + 1.0im) ngs = Number[0, 1.0, 0.9999999999954489 + 0.0im, 1.0000000000065512 + 0.0im, -1.0000000000065512 + 0.0im] gs = (0, 1.0, 1.0 + 0.0im, 1.0 + 0.0im, -1.0 + 0.0im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 0.0 + 1.0000000000509601im, 0.0 - 0.9999999999621422im] gs = (0, 1.0, 0.0 + 1.0im, 0.0 + 1.0im, 0.0 - 1.0im) ngs = Number[0, 0.9999999999621422, 0.9999999999621422 + 0.0im, 2.9999999998864264 - 0.9999999999621422im, 2.0000000001019203 + 2.300000000055036im] gs = (0, 1.0, 1.0 + 0.0im, 3.0 - 1.0im, 2.0 + 2.3im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 0.9999999999621422 + 2.9999999998864264im, -2.2999999998774 + 1.9999999999242843im] gs = (0, 1.0, 0.0 + 1.0im, 1.0 + 3.0im, -2.3 + 2.0im) ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, 0.29999999999752447 + 0.09999999999177332im, -0.021999999999522398 - 0.3039999999732146im] gs = (0, 1.0, 1.0 + 0.0im, 0.30000000000000004 + 0.1im, -0.021999999999999964 - 0.304im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, -0.10000000001397778 + 0.3000000000419334im, 0.3040000000176235 - 0.021999999955113477im] gs = (0, 1.0, 0.0 + 1.0im, -0.1 + 0.30000000000000004im, 0.30400000000000005 - 0.02200000000000002im) ngs = Number[0, 1.0000000003174137, 1.0000000003174137 + 0.0im, -94.95999999984404 + 61.73199999750522im, -72.17855946493046] gs = (0, 1.0, 1.0 + 0.0im, -94.95999999999998 + 61.731999999999985im, -72.17855946428384) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, -61.73199999928158 - 94.9599999991335im, 97.40181315436301] gs = (0, 1.0, 0.0 + 1.0im, -61.732000000000006 - 94.96im, 97.40181315543059) ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, -4.923150898683559 + 5.510057646063159im] gs = (0, 1.0, 1.0 + 0.0im, -4.923150898608931 + 5.51005764603877im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, -5.510057646063159 - 4.923150898505924im] gs = (0, 1.0, 0.0 + 1.0im, -5.51005764603877 - 4.923150898608931im) ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, 0.21528525295799736 - 0.2475780409127992im] gs = (0, 1.0, 1.0 + 0.0im, 0.21528525296017223 - 0.24757804090419805im) ngs = Number[0, 0.9999999999621422, 0.0 + 1.0000000000509601im, 0.2475780409127992 + 0.21528525300240628im] gs = (0, 1.0, 0.0 + 1.0im, 0.24757804090419808 + 0.21528525296017226im) ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, 0.014947146187438419 + 0.10659980231864095im] gs = (0, 1.0, 1.0 + 0.0im, 0.014947146195835412 + 0.10659980232688832im) ngs = Number[0, 1.0000000000065512, 0.0 + 0.9999999999621422im, -0.10659980236304988 + 0.014947146187438419im] gs = (0, 1.0, 0.0 + 1.0im, -0.10659980232688832 + 0.014947146195835426im) (subop, args) = (PlusEq{typeof(angle)}(angle), (4.0, 2.0 - 2.3im)) ngs = Number[1.0000000000065512, 0.2475780409127992 + 0.21528525300240628im] gs = (1.0, 0.24757804090419808 + 0.21528525296017226im) (subop, args) = (PlusEq{typeof(abs)}(abs), (4.0, 2.0 - 2.3im)) ngs = Number[1.0000000000509601, 0.6561787149195197 - 0.7546055220686297im] gs = (1.0, 0.6561787149247866 - 0.7546055221635045im) (subop, args) = (PlusEq{typeof(abs)}(abs), (4.0, 0.0 + 0.0im)) ngs = Number[1.0000000000065512, 0.0 + 0.0im] gs = (1.0, 0.0 + 0.0im) (subop, args) = (PlusEq{typeof(abs2)}(abs2), (4.0, 2.0 - 2.3im)) ngs = Number[0.9999999999621422, 4.000000000026205 - 4.599999999932436im] gs = (1.0, 4.0 - 4.6im) ngs = Number[0, 1.0000000000065512, 0.9999999999843466 + 0.0im, -1.0000000000065512, 0.0] gs = (0, 1.0, 1.0 + 0.0im, -1.0, 0.0) ngs = Number[0, 1.0000000000065512, 0.0 + 1.0000000000065512im, 0.0, -1.0000000000065512] gs = (0, 1.0, 0.0 + 1.0im, 0.0, -1.0) ngs = Number[0, 1.0000000000065512, 0.9999999999843466 + 0.0im, -1.0000000000065512 + 0.0im] gs = (0, 1.0, 1.0 + 0.0im, -1.0 + 0.0im) ngs = Number[0, 1.0000000000065512, 0.0 + 0.9999999999621422im, 0.0 - 1.0000000000065512im] gs = (0, 1.0, 0.0 + 1.0im, 0.0 - 1.0im) ngs = Number[0, 0.9999999999621422, 0.9999999999621422 + 0.0im, -0.9999999999621422 + 0.0im, -0.9999999999621422 + 0.0im] gs = (0, 1.0, 1.0 + 0.0im, -1.0 + 0.0im, -1.0 + 0.0im) ngs = Number[0, 1.0000000000065512, 0.0 + 0.9999999999621422im, 0.0 - 1.0000000000065512im, 0.0 - 0.9999999999621422im] gs = (0, 1.0, 0.0 + 1.0im, 0.0 - 1.0im, 0.0 - 1.0im) ngs = Number[0, 1.0000000000065512, 1.0000000000065512 + 0.0im, -1.0000000000065512 + 0.0im, 1.0000000000065512 + 0.0im] gs = (0, 1.0, 1.0 + 0.0im, -1.0 + 0.0im, 1.0 + 0.0im) ngs = Number[0, 0.9999999999954489, 0.0 + 0.9999999999621422im, 0.0 - 1.0000000000065512im, 0.0 + 0.9999999999621422im] gs = (0, 1.0, 0.0 + 1.0im, 0.0 - 1.0im, 0.0 + 1.0im) ngs = Number[0, 0.9999999999621422, 0.9999999999621422 + 0.0im, -2.9999999998864264 + 0.9999999999621422im, -2.0000000001019203 - 2.300000000055036im] gs = (0, 1.0, 1.0 + 0.0im, -3.0 + 1.0im, -2.0 - 2.3im) ngs = Number[0, 0.9999999999954489, 0.0 + 0.9999999999621422im, -1.0000000000509601 - 2.9999999999752442im, 2.299999999966218 - 1.9999999999242843im] gs = (0, 1.0, 0.0 + 1.0im, -1.0 - 3.0im, 2.3 - 2.0im) ngs = Number[0, 0.9999999999954489, 0.9999999999954489 + 0.0im, -0.3000000000086267 - 0.10000000000287555im, 0.021999999999522398 + 0.30399999999541905im] gs = (0, 1.0, 1.0 + 0.0im, -0.30000000000000004 - 0.1im, 0.021999999999999964 + 0.304im) ngs = Number[0, 1.0000000000065512, 0.0 + 0.9999999999621422im, 0.10000000001397778 - 0.29999999999752447im, -0.3040000000176235 + 0.021999999999522398im] gs = (0, 1.0, 0.0 + 1.0im, 0.1 - 0.30000000000000004im, -0.30400000000000005 + 0.02200000000000002im) ngs = Number[0, 1.0000000003174137, 1.0000000003174137 + 0.0im, 94.95999999984404 - 61.73199999750522im, 72.17855946493046] gs = (0, 1.0, 1.0 + 0.0im, 94.95999999999998 - 61.731999999999985im, 72.17855946428384) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 61.73199999928158 + 94.9599999991335im, -97.40181315436301] gs = (0, 1.0, 0.0 + 1.0im, 61.732000000000006 + 94.96im, -97.40181315543059) ngs = Number[0, 0.9999999999621422, 0.9999999999621422 + 0.0im, 4.923150898683559 - 5.510057646063159im] gs = (0, 1.0, 1.0 + 0.0im, 4.923150898608931 - 5.51005764603877im) ngs = Number[0, 1.0000000000065512, 0.0 + 0.9999999999621422im, 5.510057646063159 + 4.923150898594741im] gs = (0, 1.0, 0.0 + 1.0im, 5.51005764603877 + 4.923150898608931im) ngs = Number[0, 0.9999999999996122, 0.9999999999954489 + 0.0im, -0.21528525295799736 + 0.2475780409127992im] gs = (0, 1.0, 1.0 + 0.0im, -0.21528525296017223 + 0.24757804090419805im) ngs = Number[0, 1.0000000000065512, 0.0 + 0.9999999999621422im, -0.2475780409127992 - 0.21528525300240628im] gs = (0, 1.0, 0.0 + 1.0im, -0.24757804090419808 - 0.21528525296017226im) ngs = Number[0, 0.9999999999954489, 0.9999999999843466 + 0.0im, -0.014947146187438419 - 0.10659980232974318im] gs = (0, 1.0, 1.0 + 0.0im, -0.014947146195835412 - 0.10659980232688832im) ngs = Number[0, 0.9999999999621422, 0.0 + 0.9999999999621422im, 0.10659980231864095 - 0.014947146187438419im] gs = (0, 1.0, 0.0 + 1.0im, 0.10659980232688832 - 0.014947146195835426im) (subop, args) = (MinusEq{typeof(angle)}(angle), (4.0, 2.0 - 2.3im)) ngs = Number[1.0000000000509601, -0.2475780409127992 - 0.21528525300240628im] gs = (1.0, -0.24757804090419808 - 0.21528525296017226im) (subop, args) = (MinusEq{typeof(abs)}(abs), (4.0, 2.0 - 2.3im)) ngs = Number[1.0000000000065512, -0.6561787149195197 + 0.7546055221574476im] gs = (1.0, -0.6561787149247866 + 0.7546055221635045im) (subop, args) = (MinusEq{typeof(abs)}(abs), (4.0, 0.0 + 0.0im)) ngs = Number[1.0000000000065512, 0.0 + 0.0im] gs = (1.0, 0.0 + 0.0im) (subop, args) = (MinusEq{typeof(abs2)}(abs2), (4.0, 2.0 - 2.3im)) ngs = Number[0.9999999999621422, -3.9999999999373865 + 4.600000000021254im] gs = (1.0, -4.0 + 4.6im) ngs = Number[0, 1.0000000000065512, -0.9999999999954489 + 0.0im] gs = (0, 1.0, -1.0 - 0.0im) ngs = Number[0, 1.0000000000065512, 0.0 - 0.9999999999621422im] gs = (0, 1.0, -0.0 - 1.0im) h2 = [0.0 0.0 0.0 -2.9699774896752014; 0.0 -6.799589668737837 -0.5666324724984406 -45.38479617224311; 0.0 -0.5666324724096228 0.0 -6.363315003632407; -2.969977489897246 -45.38479617295365 -6.363315002744229 -44.80753266804526] Test Summary: | Pass Broken Total Time autodiff | 299 2 301 3m47.2s ngs = Any[0.9999999999621422, [1.9999999999242843, 4.000000000026205, 6.000000000128124]] gs = (1.0, [2.0, 3.9999999999999996, 5.999999999999999]) ngs = Any[0.9999999999621422, [0.9999999999621422, 1.9999999999242843, 5.000000000165983], [0.9999999999621422, 1.9999999999242843, 2.9999999998864264]] gs = (1.0, [1.0, 1.9999999999999998, 5.0], [1.0, 1.9999999999999998, 2.999999999999999]) ngs = Any[0.9999999999621422, [0.9999999999621422, 1.9999999999242843, 5.000000000165983], [0.9999999999621422, 1.9999999999242843, 2.9999999998864264]] gs = (1.0, [1.0, 1.9999999999999998, 5.0], [1.0, 1.9999999999999998, 2.9999999999999987]) Precompiling Distributions... 9023.7 ms ✓ Distributions 1 dependency successfully precompiled in 10 seconds. 45 already precompiled. Precompiling StatsFunsChainRulesCoreExt... 3713.2 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1 dependency successfully precompiled in 4 seconds. 24 already precompiled. Precompiling DistributionsTestExt... 2674.3 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 3 seconds. 48 already precompiled. Precompiling DistributionsChainRulesCoreExt... 2953.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 1 dependency successfully precompiled in 3 seconds. 51 already precompiled. Z = 3.5093226860286584 ngs = Any[[1.1825298884104996, -0.2611975210342621, 0.354694185378257, -0.05625838350731271, 0.4312249539895063, -0.745633619203545, -0.9565803769095992, -0.16131325530910345, -0.4640435463221237, 0.6765776746631147], [3.9215234811429407, 3.709284188868622, 1.91312024835355, 2.6282149784506714, 3.155109726282745, 1.2554230519157272, 2.735367239337094, 4.964500545989736, 1.2876717269794113, 2.8048687262360867], 0, 0.0, 0.19072940062869745, 0.9999999999621422] gs = ([1.1825298883598412, -0.26119752107668404, 0.35469418554369425, -0.056258383560135884, 0.4312249539499869, -0.7456336192438077, -0.956580376865222, -0.16131325543027775, -0.4640435463324888, 0.6765776746550937], [3.921523481157041, 3.7092841888404324, 1.9131202483571328, 2.6282149783875504, 3.1551097262599863, 1.255423051913856, 2.735367239366874, 4.964500546060173, 1.2876717269849305, 2.8048687263469416], 0, -2.220446049250313e-16, 0.19072940052634477, 1.0) Test Summary: | Pass Total Time stdlib | 52 52 1m41.6s Testing NiLang tests passed Testing completed after 383.94s PkgEval succeeded after 458.0s