Automatic build\nPublished by build of: SciML/SciMLBenchmarks.jl@9844f0b

Author: JuliaLangBuildkite

markdown/AutomaticDifferentiation/BrussScaling.md

@@ -16,29 +16,29 @@ function paritytrig(x::AbstractVector{T}) where {T}
 end
 
 backends = [
-    AutoEnzyme(mode=Enzyme.Reverse),
-    AutoTapir(safe_mode=false),
-    AutoZygote(),
+    AutoEnzyme(mode = Enzyme.Reverse),
+    AutoTapir(safe_mode = false),
+    AutoZygote()
 ];
 
 scenarios = [
-    GradientScenario(paritytrig; x=rand(100), y=0.0, nb_args=1, place=:inplace),
-    GradientScenario(paritytrig; x=rand(10_000), y=0.0, nb_args=1, place=:inplace)
+    GradientScenario(paritytrig; x = rand(100), y = 0.0, nb_args = 1, place = :inplace),
+    GradientScenario(paritytrig; x = rand(10_000), y = 0.0, nb_args = 1, place = :inplace)
 ];
 
-data = benchmark_differentiation(backends, scenarios, logging=true);
+data = benchmark_differentiation(backends, scenarios, logging = true);
 
 table = PrettyTables.pretty_table(
     String,
     data;
-    backend=Val(:markdown),
-    header=names(data),
-    formatters=PrettyTables.ft_printf("%.1e"),
+    backend = Val(:markdown),
+    header = names(data),
+    formatters = PrettyTables.ft_printf("%.1e")
 )
 
 Markdown.parse(table)
 
 
 using SciMLBenchmarks
-SciMLBenchmarks.bench_footer(WEAVE_ARGS[:folder],WEAVE_ARGS[:file])
+SciMLBenchmarks.bench_footer(WEAVE_ARGS[:folder], WEAVE_ARGS[:file])