Format

Author: gdalle

docs/src/tutorials/large_systems.md

@@ -139,11 +139,11 @@ using BenchmarkTools # for @btime
 @btime solve(prob_brusselator_2d,
     NewtonRaphson(; autodiff = AutoSparse(AutoForwardDiff(; chunksize = 32))));
 @btime solve(prob_brusselator_2d,
-    NewtonRaphson(;
-        autodiff = AutoSparse(AutoForwardDiff(; chunksize = 32)), linsolve = KLUFactorization()));
+    NewtonRaphson(; autodiff = AutoSparse(AutoForwardDiff(; chunksize = 32)),
+        linsolve = KLUFactorization()));
 @btime solve(prob_brusselator_2d,
-    NewtonRaphson(;
-        autodiff = AutoSparse(AutoForwardDiff(; chunksize = 32)), linsolve = KrylovJL_GMRES()));
+    NewtonRaphson(; autodiff = AutoSparse(AutoForwardDiff(; chunksize = 32)),
+        linsolve = KrylovJL_GMRES()));
 nothing # hide
 ```
 

src/adtypes.jl

@@ -114,16 +114,17 @@ Sparse Version of [`AutoForwardDiff`](@ref) that uses
 [ForwardDiff.jl](https://github.com/JuliaDiff/ForwardDiff.jl) and the column color vector of
 the Jacobian Matrix to efficiently compute the Sparse Jacobian.
 
-- Supports both inplace and out-of-place functions
+  - Supports both inplace and out-of-place functions
 
 For type-stability of internal operations, a positive `chunksize` must be provided.
 
 ### Keyword Arguments
 
-- `chunksize`: Count of dual numbers that can be propagated simultaneously. Setting this
-number to a high value will lead to slowdowns. Use
-[`NonlinearSolve.pickchunksize`](@ref) to get a proper value.
-- `tag`: Used to avoid perturbation confusion. If set to `nothing`, we use a custom tag.
+  - `chunksize`: Count of dual numbers that can be propagated simultaneously. Setting this
+    number to a high value will lead to slowdowns. Use
+    [`NonlinearSolve.pickchunksize`](@ref) to get a proper value.
+
+  - `tag`: Used to avoid perturbation confusion. If set to `nothing`, we use a custom tag.
 
     AutoSparse(AutoZygote())
 

src/algorithms/trust_region.jl

@@ -33,7 +33,7 @@ function TrustRegion(; concrete_jac = nothing, linsolve = nothing, precs = DEFAU
     end
     if isnothing(vjp_autodiff) &&
        autodiff isa Union{ADTypes.AutoFiniteDiff, ADTypes.AutoFiniteDifferences}
-       # TODO: why not just ForwardMode?
+        # TODO: why not just ForwardMode?
         vjp_autodiff = autodiff
     end
     trustregion = GenericTrustRegionScheme(;

src/internal/jacobian.jl

@@ -184,8 +184,10 @@ end
     end
 
     if SciMLBase.has_colorvec(f)
-        return PrecomputedJacobianColorvec(; jac_prototype, f.colorvec,
-            partition_by_rows = (ad isa AutoSparse && ADTypes.mode(ad) isa ADTypes.ReverseMode))
+        return PrecomputedJacobianColorvec(; jac_prototype,
+            f.colorvec,
+            partition_by_rows = (ad isa AutoSparse &&
+                                 ADTypes.mode(ad) isa ADTypes.ReverseMode))
     else
         return JacPrototypeSparsityDetection(; jac_prototype)
     end

test/misc/bruss_tests.jl

@@ -72,7 +72,8 @@
         NewtonRaphson(autodiff = AutoSparse(AutoFiniteDiff())); abstol = 1e-8)
     @test norm(sol.resid, Inf) < 1e-8
 
-    cache = init(prob_brusselator_2d, NewtonRaphson(; autodiff = AutoSparse(AutoForwardDiff())))
+    cache = init(
+        prob_brusselator_2d, NewtonRaphson(; autodiff = AutoSparse(AutoForwardDiff())))
     @test maximum(cache.jac_cache.jac_cache.coloring.colorvec) == 12
     @test cache.jac_cache.autodiff isa AutoSparse{<:AutoForwardDiff}
 end