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1.5.0-DEV-7f28d91b70.log
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Julia Version 1.5.0-DEV.483
Commit 7f28d91b70 (2020-03-18 17:21 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed Calculus ───────────────────── v0.5.1
Installed DualNumbers ────────────────── v0.6.2
Installed CompilerSupportLibraries_jll ─ v0.3.0+0
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed DiffRules ──────────────────── v0.0.10
Installed SpecialFunctions ───────────── v0.10.0
Installed FDM ────────────────────────── v0.6.1
Installed Nabla ──────────────────────── v0.12.1
Installed NaNMath ────────────────────── v0.3.3
#=#=# ## 3.0%###### 9.1%############ 17.3%################### 26.5%############################# 41.0%########################################### 60.1%############################################################ 83.6%######################################################################## 100.0%
#=#=# ######################################################################## 100.0%
Updating `~/.julia/environments/v1.5/Project.toml`
49c96f43 + Nabla v0.12.1
Updating `~/.julia/environments/v1.5/Manifest.toml`
49dc2e85 + Calculus v0.5.1
e66e0078 + CompilerSupportLibraries_jll v0.3.0+0
b552c78f + DiffRules v0.0.10
fa6b7ba4 + DualNumbers v0.6.2
e25cca7e + FDM v0.6.1
77ba4419 + NaNMath v0.3.3
49c96f43 + Nabla v0.12.1
efe28fd5 + OpenSpecFun_jll v0.5.3+3
276daf66 + SpecialFunctions v0.10.0
2a0f44e3 + Base64
ade2ca70 + Dates
8ba89e20 + Distributed
b77e0a4c + InteractiveUtils
76f85450 + LibGit2
8f399da3 + Libdl
37e2e46d + LinearAlgebra
56ddb016 + Logging
d6f4376e + Markdown
44cfe95a + Pkg
de0858da + Printf
3fa0cd96 + REPL
9a3f8284 + Random
ea8e919c + SHA
9e88b42a + Serialization
6462fe0b + Sockets
2f01184e + SparseArrays
10745b16 + Statistics
8dfed614 + Test
cf7118a7 + UUIDs
4ec0a83e + Unicode
Testing Nabla
#=#=# 1.0%#### 6.2%######## 12.2%############### 21.0%###################### 31.1%########################## 36.3%##################################### 51.5%################################################## 69.6%################################################################## 92.1%######################################################################## 100.0%
#=#=# ######################################################################## 100.0%
#=#=# ######################################################################## 100.0%
Status `/tmp/jl_oYuWMS/Project.toml`
6e4b80f9 BenchmarkTools v0.5.0
b552c78f DiffRules v0.0.10
31c24e10 Distributions v0.23.0
fa6b7ba4 DualNumbers v0.6.2
e25cca7e FDM v0.6.1
49c96f43 Nabla v0.12.1
276daf66 SpecialFunctions v0.10.0
37e2e46d LinearAlgebra
9a3f8284 Random
10745b16 Statistics
8dfed614 Test
Status `/tmp/jl_oYuWMS/Manifest.toml`
7d9fca2a Arpack v0.4.0
68821587 Arpack_jll v3.5.0+2
6e4b80f9 BenchmarkTools v0.5.0
49dc2e85 Calculus v0.5.1
e66e0078 CompilerSupportLibraries_jll v0.3.0+0
9a962f9c DataAPI v1.1.0
864edb3b DataStructures v0.17.10
b552c78f DiffRules v0.0.10
31c24e10 Distributions v0.23.0
fa6b7ba4 DualNumbers v0.6.2
e25cca7e FDM v0.6.1
1a297f60 FillArrays v0.8.5
682c06a0 JSON v0.21.0
e1d29d7a Missings v0.4.3
77ba4419 NaNMath v0.3.3
49c96f43 Nabla v0.12.1
4536629a OpenBLAS_jll v0.3.7+7
efe28fd5 OpenSpecFun_jll v0.5.3+3
bac558e1 OrderedCollections v1.1.0
90014a1f PDMats v0.9.12
69de0a69 Parsers v0.3.12
1fd47b50 QuadGK v2.3.1
79098fc4 Rmath v0.6.1
f50d1b31 Rmath_jll v0.2.2+0
a2af1166 SortingAlgorithms v0.3.1
276daf66 SpecialFunctions v0.10.0
2913bbd2 StatsBase v0.32.2
4c63d2b9 StatsFuns v0.9.4
2a0f44e3 Base64
ade2ca70 Dates
8ba89e20 Distributed
b77e0a4c InteractiveUtils
76f85450 LibGit2
8f399da3 Libdl
37e2e46d LinearAlgebra
56ddb016 Logging
d6f4376e Markdown
a63ad114 Mmap
44cfe95a Pkg
de0858da Printf
3fa0cd96 REPL
9a3f8284 Random
ea8e919c SHA
9e88b42a Serialization
6462fe0b Sockets
2f01184e SparseArrays
10745b16 Statistics
4607b0f0 SuiteSparse
8dfed614 Test
cf7118a7 UUIDs
4ec0a83e Unicode
Test Summary: | Pass Total
Core | 234 234
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = in_domain(::Function, ::Float64) at finite_differencing.jl:128
└ @ Nabla ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:128
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #Branch#13 at core.jl:82 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/core.jl:82
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = #44 at finite_differencing.jl:24 [inlined]
└ @ Core ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = (::Nabla.var"#55#59"{Float64,typeof(lbeta)})(::Float64) at finite_differencing.jl:197
└ @ Nabla ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:197
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = Branch(::Function, ::Tuple{Leaf{Float64},Leaf{Float64}}, ::Tape; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at core.jl:82
└ @ Nabla ~/.julia/packages/Nabla/D60dX/src/core.jl:82
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = (::Nabla.var"#44#45"{typeof(lbeta),Float64,Tuple{Float64,Float64},Tuple{Float64,Float64}})(::Float64) at finite_differencing.jl:24
└ @ Nabla ~/.julia/packages/Nabla/D60dX/src/finite_differencing.jl:24
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = broadcast(::Function, ::Float64) at broadcast.jl:761
└ @ Base.Broadcast ./broadcast.jl:761
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _broadcast_getindex_evalf(::typeof(lgamma), ::Float64) at broadcast.jl:631
└ @ Base.Broadcast ./broadcast.jl:631
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = _broadcast_getindex_evalf at broadcast.jl:631 [inlined]
└ @ Core ./broadcast.jl:631
┌ Warning: `lbeta(x::Real, w::Real)` is deprecated, use `(logabsbeta(x, w))[1]` instead.
│ caller = broadcast(::Function, ::Float64, ::Float64) at broadcast.jl:761
└ @ Base.Broadcast ./broadcast.jl:761
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _mapreduce(::typeof(lgamma), ::typeof(+), ::IndexLinear, ::Array{Float64,1}) at reduce.jl:400
└ @ Base ./reduce.jl:400
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _mapreduce(::typeof(lgamma), ::typeof(+), ::IndexLinear, ::Array{Float64,1}) at reduce.jl:400
└ @ Base ./reduce.jl:400
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _mapreduce(::typeof(lgamma), ::typeof(+), ::IndexLinear, ::Array{Float64,1}) at reduce.jl:403
└ @ Base ./reduce.jl:403
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = MappingRF at reduce.jl:90 [inlined]
└ @ Core ./reduce.jl:90
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = MappingRF at reduce.jl:90 [inlined]
└ @ Core ./reduce.jl:90
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = MappingRF at reduce.jl:90 [inlined]
└ @ Core ./reduce.jl:90
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = MappingRF at reduce.jl:90 [inlined]
└ @ Core ./reduce.jl:90
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _mapreduce(::typeof(lgamma), ::typeof(Base.add_sum), ::IndexLinear, ::Array{Float64,1}) at reduce.jl:400
└ @ Base ./reduce.jl:400
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _mapreduce(::typeof(lgamma), ::typeof(Base.add_sum), ::IndexLinear, ::Array{Float64,1}) at reduce.jl:400
└ @ Base ./reduce.jl:400
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│ caller = _mapreduce(::typeof(lgamma), ::typeof(Base.add_sum), ::IndexLinear, ::Array{Float64,1}) at reduce.jl:403
└ @ Base ./reduce.jl:403
Test Summary: | Pass Total
Sensitivities | 3343 3343
Testing Nabla tests passed