Automatic build\nPublished by build of: SciML/SciMLTutorials.jl@ebb5fb2

Author: root

html/advanced/01-beeler_reuter.html

@@ -442,7 +442,7 @@ For stiff reaction-diffusion equations, CVODE_BDF from Sundial library is an exc
 ```
 
 ```
-30.378065 seconds (1.98 M allocations: 123.878 MiB, 0.11% gc time, 3.31% c
+30.456944 seconds (1.97 M allocations: 122.018 MiB, 0.10% gc time, 3.29% c
 ompilation time)
 ```
 
@@ -796,8 +796,8 @@ SciMLTutorials.weave_file("tutorials/advanced","01-beeler_reuter.jmd")
 Computer Information:
 
 ```
-Julia Version 1.6.1
-Commit 6aaedecc44 (2021-04-23 05:59 UTC)
+Julia Version 1.6.2
+Commit 1b93d53fc4 (2021-07-14 15:36 UTC)
 Platform Info:
   OS: Linux (x86_64-pc-linux-gnu)
   CPU: AMD EPYC 7502 32-Core Processor
@@ -813,7 +813,7 @@ Environment:
 Package Information:
 
 ```
-      Status `/var/lib/buildkite-agent/builds/4-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Project.toml`
+      Status `/var/lib/buildkite-agent/builds/6-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Project.toml`
   [2169fc97] AlgebraicMultigrid v0.4.0
   [6e4b80f9] BenchmarkTools v1.0.0
   [052768ef] CUDA v2.6.3
@@ -839,7 +839,7 @@ Package Information:
 And the full manifest:
 
 ```
-      Status `/var/lib/buildkite-agent/builds/4-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Manifest.toml`
+      Status `/var/lib/buildkite-agent/builds/6-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Manifest.toml`
   [c3fe647b] AbstractAlgebra v0.16.0
   [621f4979] AbstractFFTs v1.0.1
   [1520ce14] AbstractTrees v0.3.4

html/advanced/02-advanced_ODE_solving.html

@@ -154,7 +154,7 @@ using BenchmarkTools
 ```
 
 ```
-592.133 μs (2561 allocations: 186.89 KiB)
+571.644 μs (2561 allocations: 186.89 KiB)
 retcode: Success
 Interpolation: automatic order switching interpolation
 t: 115-element Vector{Float64}:
@@ -230,7 +230,7 @@ prob_jac = ODEProblem(f,[1.0,0.0,0.0],(0.0,1e5),(0.04,3e7,1e4))
 ```
 
 ```
-367.386 μs (2002 allocations: 126.28 KiB)
+354.357 μs (2002 allocations: 126.28 KiB)
 retcode: Success
 Interpolation: automatic order switching interpolation
 t: 115-element Vector{Float64}:
@@ -295,42 +295,42 @@ ModelingToolkit.generate_jacobian(de)[2] # Second is in-place
 ```
 
 ```
-:(function (var"##out#7430", var"##arg#7428", var"##arg#7429", t)
+:(function (var"##out#7621", var"##arg#7619", var"##arg#7620", t)
       #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-41ea-bc97
 -28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:282 =#
       #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-41ea-bc97
 -28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:283 =#
       let var"x₁(t)" = #= /root/.cache/julia-buildkite-plugin/depots/a6029d
 3a-f78b-41ea-bc97-28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:169
- =# @inbounds(var"##arg#7428"[1]), var"x₂(t)" = #= /root/.cache/julia-build
+ =# @inbounds(var"##arg#7619"[1]), var"x₂(t)" = #= /root/.cache/julia-build
 kite-plugin/depots/a6029d3a-f78b-41ea-bc97-28aa57c6c6ea/packages/SymbolicUt
-ils/9iQGH/src/code.jl:169 =# @inbounds(var"##arg#7428"[2]), var"x₃(t)" = #=
+ils/9iQGH/src/code.jl:169 =# @inbounds(var"##arg#7619"[2]), var"x₃(t)" = #=
  /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-41ea-bc97-28aa57c
 6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:169 =# @inbounds(var"##arg#7
-428"[3]), α₁ = #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-
+619"[3]), α₁ = #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-
 41ea-bc97-28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:169 =# @inb
-ounds(var"##arg#7429"[1]), α₂ = #= /root/.cache/julia-buildkite-plugin/depo
+ounds(var"##arg#7620"[1]), α₂ = #= /root/.cache/julia-buildkite-plugin/depo
 ts/a6029d3a-f78b-41ea-bc97-28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/co
-de.jl:169 =# @inbounds(var"##arg#7429"[2]), α₃ = #= /root/.cache/julia-buil
+de.jl:169 =# @inbounds(var"##arg#7620"[2]), α₃ = #= /root/.cache/julia-buil
 dkite-plugin/depots/a6029d3a-f78b-41ea-bc97-28aa57c6c6ea/packages/SymbolicU
-tils/9iQGH/src/code.jl:169 =# @inbounds(var"##arg#7429"[3])
+tils/9iQGH/src/code.jl:169 =# @inbounds(var"##arg#7620"[3])
           #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-41ea-
 bc97-28aa57c6c6ea/packages/Symbolics/h8kPL/src/build_function.jl:331 =#
           #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f78b-41ea-
 bc97-28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:329 =# @inbounds
  begin
                   #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f7
 8b-41ea-bc97-28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:325 =#
-                  var"##out#7430"[1] = (*)(-1, α₁)
-                  var"##out#7430"[2] = α₁
-                  var"##out#7430"[3] = 0
-                  var"##out#7430"[4] = (*)(α₃, var"x₃(t)")
-                  var"##out#7430"[5] = (+)((*)(-2, α₂, var"x₂(t)"), (*)(-1,
+                  var"##out#7621"[1] = (*)(-1, α₁)
+                  var"##out#7621"[2] = α₁
+                  var"##out#7621"[3] = 0
+                  var"##out#7621"[4] = (*)(α₃, var"x₃(t)")
+                  var"##out#7621"[5] = (+)((*)(-2, α₂, var"x₂(t)"), (*)(-1,
  α₃, var"x₃(t)"))
-                  var"##out#7430"[6] = (*)(2, α₂, var"x₂(t)")
-                  var"##out#7430"[7] = (*)(α₃, var"x₂(t)")
-                  var"##out#7430"[8] = (*)(-1, α₃, var"x₂(t)")
-                  var"##out#7430"[9] = 0
+                  var"##out#7621"[6] = (*)(2, α₂, var"x₂(t)")
+                  var"##out#7621"[7] = (*)(α₃, var"x₂(t)")
+                  var"##out#7621"[8] = (*)(-1, α₃, var"x₂(t)")
+                  var"##out#7621"[9] = 0
                   #= /root/.cache/julia-buildkite-plugin/depots/a6029d3a-f7
 8b-41ea-bc97-28aa57c6c6ea/packages/SymbolicUtils/9iQGH/src/code.jl:327 =#
                   nothing
@@ -534,7 +534,7 @@ f = ODEFunction(brusselator_2d_loop;jac_prototype=jac_sparsity)
 ```
 
 ```
-(::SciMLBase.ODEFunction{true, typeof(Main.##WeaveSandBox#7022.brusselator_
+(::SciMLBase.ODEFunction{true, typeof(Main.##WeaveSandBox#7213.brusselator_
 2d_loop), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, No
 thing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, SparseArrays.
 SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, Nothing, Nothing, Nothin
@@ -629,8 +629,8 @@ Now let's see how the version with sparsity compares to the version without:
 ```
 
 ```
-4.443 s (3332 allocations: 65.33 MiB)
-  867.988 ms (40169 allocations: 276.18 MiB)
+3.988 s (3332 allocations: 65.33 MiB)
+  873.027 ms (40173 allocations: 276.18 MiB)
 retcode: Success
 Interpolation: 1st order linear
 t: 2-element Vector{Float64}:
@@ -702,7 +702,7 @@ prob_ode_brusselator_2d_sparse = ODEProblem(f,
 ```
 
 ```
-866.651 ms (7386 allocations: 272.21 MiB)
+868.820 ms (7392 allocations: 272.21 MiB)
 retcode: Success
 Interpolation: 1st order linear
 t: 2-element Vector{Float64}:
@@ -753,8 +753,8 @@ GMRES linear solver.
 ```
 
 ```
-54.826 s (1440760 allocations: 148.08 MiB)
-  3.373 s (487052 allocations: 19.49 MiB)
+40.803 s (1440760 allocations: 148.08 MiB)
+  3.377 s (487052 allocations: 19.49 MiB)
 retcode: Success
 Interpolation: 1st order linear
 t: 2-element Vector{Float64}:
@@ -804,11 +804,11 @@ Jv = JacVecOperator(brusselator_2d_loop,u0,p,0.0)
 ```
 
 ```
-DiffEqOperators.JacVecOperator{Float64, typeof(Main.##WeaveSandBox#7022.bru
+DiffEqOperators.JacVecOperator{Float64, typeof(Main.##WeaveSandBox#7213.bru
 sselator_2d_loop), Array{ForwardDiff.Dual{DiffEqOperators.JacVecTag, Float6
 4, 1}, 3}, Array{ForwardDiff.Dual{DiffEqOperators.JacVecTag, Float64, 1}, 3
 }, Array{Float64, 3}, NTuple{4, Float64}, Float64, Bool}(Main.##WeaveSandBo
-x#7022.brusselator_2d_loop, ForwardDiff.Dual{DiffEqOperators.JacVecTag, Flo
+x#7213.brusselator_2d_loop, ForwardDiff.Dual{DiffEqOperators.JacVecTag, Flo
 at64, 1}[Dual{DiffEqOperators.JacVecTag}(0.0,0.0) Dual{DiffEqOperators.JacV
 ecTag}(0.12134432813715876,0.12134432813715876) … Dual{DiffEqOperators.JacV
 ecTag}(0.1213443281371586,0.1213443281371586) Dual{DiffEqOperators.JacVecTa
@@ -887,7 +887,7 @@ prob_ode_brusselator_2d_jacfree = ODEProblem(f,u0,(0.,11.5),p)
 ```
 
 ```
-2.052 s (942433 allocations: 1.05 GiB)
+2.050 s (942433 allocations: 1.05 GiB)
 retcode: Success
 Interpolation: 1st order linear
 t: 2-element Vector{Float64}:
@@ -933,7 +933,7 @@ pc = aspreconditioner(ruge_stuben(jac_sparsity))
 ```
 
 ```
-57.068 ms (2126 allocations: 4.62 MiB)
+52.565 ms (2126 allocations: 4.62 MiB)
 retcode: Success
 Interpolation: 1st order linear
 t: 2-element Vector{Float64}:
@@ -1011,8 +1011,8 @@ using Sundials
 ```
 
 ```
-18.035 s (51406 allocations: 3.40 MiB)
-  296.814 ms (54356 allocations: 3.24 MiB)
+15.126 s (51406 allocations: 3.40 MiB)
+  296.308 ms (54356 allocations: 3.24 MiB)
 retcode: Success
 Interpolation: 1st order linear
 t: 2-element Vector{Float64}:
@@ -1117,8 +1117,8 @@ SciMLTutorials.weave_file("tutorials/advanced","02-advanced_ODE_solving.jmd")
 Computer Information:
 
 ```
-Julia Version 1.6.1
-Commit 6aaedecc44 (2021-04-23 05:59 UTC)
+Julia Version 1.6.2
+Commit 1b93d53fc4 (2021-07-14 15:36 UTC)
 Platform Info:
   OS: Linux (x86_64-pc-linux-gnu)
   CPU: AMD EPYC 7502 32-Core Processor
@@ -1134,7 +1134,7 @@ Environment:
 Package Information:
 
 ```
-      Status `/var/lib/buildkite-agent/builds/2-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Project.toml`
+      Status `/var/lib/buildkite-agent/builds/6-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Project.toml`
   [2169fc97] AlgebraicMultigrid v0.4.0
   [6e4b80f9] BenchmarkTools v1.0.0
   [052768ef] CUDA v2.6.3
@@ -1160,7 +1160,7 @@ Package Information:
 And the full manifest:
 
 ```
-      Status `/var/lib/buildkite-agent/builds/2-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Manifest.toml`
+      Status `/var/lib/buildkite-agent/builds/6-amdci4-julia-csail-mit-edu/julialang/scimltutorials-dot-jl/tutorials/advanced/Manifest.toml`
   [c3fe647b] AbstractAlgebra v0.16.0
   [621f4979] AbstractFFTs v1.0.1
   [1520ce14] AbstractTrees v0.3.4