Merge pull request #128 from SciML/auto-juliaformatter-pr

Automatic JuliaFormatter.jl run

Author: ChrisRackauckas

lib/SimpleNonlinearSolve/src/SimpleNonlinearSolve.jl

@@ -4,12 +4,13 @@ import PrecompileTools: @compile_workload, @setup_workload, @recompile_invalidat
 
 @recompile_invalidations begin
     using ADTypes, ArrayInterface, ConcreteStructs, DiffEqBase, FastClosures, FiniteDiff,
-        ForwardDiff, Reexport, LinearAlgebra, SciMLBase
+          ForwardDiff, Reexport, LinearAlgebra, SciMLBase
 
     import DiffEqBase: AbstractNonlinearTerminationMode,
-        AbstractSafeNonlinearTerminationMode, AbstractSafeBestNonlinearTerminationMode,
-        NonlinearSafeTerminationReturnCode, get_termination_mode,
-        NONLINEARSOLVE_DEFAULT_NORM
+                       AbstractSafeNonlinearTerminationMode,
+                       AbstractSafeBestNonlinearTerminationMode,
+                       NonlinearSafeTerminationReturnCode, get_termination_mode,
+                       NONLINEARSOLVE_DEFAULT_NORM
     import ForwardDiff: Dual
     import MaybeInplace: @bb, setindex_trait, CanSetindex, CannotSetindex
     import SciMLBase: AbstractNonlinearAlgorithm, build_solution, isinplace, _unwrap_val
@@ -56,14 +57,16 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Nothing, args...;
 end
 
 # By Pass the highlevel checks for NonlinearProblem for Simple Algorithms
-function SciMLBase.solve(prob::NonlinearProblem, alg::AbstractSimpleNonlinearSolveAlgorithm,
+function SciMLBase.solve(
+        prob::NonlinearProblem, alg::AbstractSimpleNonlinearSolveAlgorithm,
         args...; sensealg = nothing, u0 = nothing, p = nothing, kwargs...)
     if sensealg === nothing && haskey(prob.kwargs, :sensealg)
         sensealg = prob.kwargs[:sensealg]
     end
     new_u0 = u0 !== nothing ? u0 : prob.u0
     new_p = p !== nothing ? p : prob.p
-    return __internal_solve_up(prob, sensealg, new_u0, u0 === nothing, new_p, p === nothing,
+    return __internal_solve_up(
+        prob, sensealg, new_u0, u0 === nothing, new_p, p === nothing,
         alg, args...; kwargs...)
 end
 
@@ -111,7 +114,7 @@ end
 end
 
 export SimpleBroyden, SimpleDFSane, SimpleGaussNewton, SimpleHalley, SimpleKlement,
-    SimpleLimitedMemoryBroyden, SimpleNewtonRaphson, SimpleTrustRegion
+       SimpleLimitedMemoryBroyden, SimpleNewtonRaphson, SimpleTrustRegion
 export Alefeld, Bisection, Brent, Falsi, ITP, Ridder
 
 end # module

lib/SimpleNonlinearSolve/src/ad.jl

@@ -1,15 +1,18 @@
-function SciMLBase.solve(prob::NonlinearProblem{<:Union{Number, <:AbstractArray},
+function SciMLBase.solve(
+        prob::NonlinearProblem{<:Union{Number, <:AbstractArray},
             iip, <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}},
         alg::AbstractSimpleNonlinearSolveAlgorithm, args...; kwargs...) where {T, V, P, iip}
     sol, partials = __nlsolve_ad(prob, alg, args...; kwargs...)
     dual_soln = __nlsolve_dual_soln(sol.u, partials, prob.p)
-    return SciMLBase.build_solution(prob, alg, dual_soln, sol.resid; sol.retcode, sol.stats,
+    return SciMLBase.build_solution(
+        prob, alg, dual_soln, sol.resid; sol.retcode, sol.stats,
         sol.original)
 end
 
 for algType in (Bisection, Brent, Alefeld, Falsi, ITP, Ridder)
     @eval begin
-        function SciMLBase.solve(prob::IntervalNonlinearProblem{uType, iip,
+        function SciMLBase.solve(
+                prob::IntervalNonlinearProblem{uType, iip,
                     <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}},
                 alg::$(algType), args...; kwargs...) where {uType, T, V, P, iip}
             sol, partials = __nlsolve_ad(prob, alg, args...; kwargs...)

lib/SimpleNonlinearSolve/src/bracketing/alefeld.jl

@@ -38,7 +38,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Alefeld, args...;
         end
         ē, fc = d, f(c)
         (a == c || b == c) &&
-            return build_solution(prob, alg, c, fc; retcode = ReturnCode.FloatingPointLimit,
+            return build_solution(
+                prob, alg, c, fc; retcode = ReturnCode.FloatingPointLimit,
                 left = a, right = b)
         iszero(fc) &&
             return build_solution(prob, alg, c, fc; retcode = ReturnCode.Success,
@@ -57,7 +58,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Alefeld, args...;
         end
         fc = f(c)
         (ā == c || b̄ == c) &&
-            return build_solution(prob, alg, c, fc; retcode = ReturnCode.FloatingPointLimit,
+            return build_solution(
+                prob, alg, c, fc; retcode = ReturnCode.FloatingPointLimit,
                 left = ā, right = b̄)
         iszero(fc) &&
             return build_solution(prob, alg, c, fc; retcode = ReturnCode.Success,
@@ -76,7 +78,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Alefeld, args...;
         end
         fc = f(c)
         (ā == c || b̄ == c) &&
-            return build_solution(prob, alg, c, fc; retcode = ReturnCode.FloatingPointLimit,
+            return build_solution(
+                prob, alg, c, fc; retcode = ReturnCode.FloatingPointLimit,
                 left = ā, right = b̄)
         iszero(fc) &&
             return build_solution(prob, alg, c, fc; retcode = ReturnCode.Success,

lib/SimpleNonlinearSolve/src/bracketing/bisection.jl

@@ -35,7 +35,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Bisection, args...
     end
 
     if iszero(fr)
-        return build_solution(prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
+        return build_solution(
+            prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
             left, right)
     end
 

lib/SimpleNonlinearSolve/src/bracketing/brent.jl

@@ -22,7 +22,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Brent, args...;
     end
 
     if iszero(fr)
-        return build_solution(prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
+        return build_solution(
+            prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
             left, right)
     end
 

lib/SimpleNonlinearSolve/src/bracketing/falsi.jl

@@ -21,7 +21,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Falsi, args...;
     end
 
     if iszero(fr)
-        return build_solution(prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
+        return build_solution(
+            prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
             left, right)
     end
 

lib/SimpleNonlinearSolve/src/bracketing/itp.jl

@@ -67,7 +67,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::ITP, args...;
     end
 
     if iszero(fr)
-        return build_solution(prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
+        return build_solution(
+            prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
             left, right)
     end
     ϵ = abstol

lib/SimpleNonlinearSolve/src/bracketing/ridder.jl

@@ -21,7 +21,8 @@ function SciMLBase.solve(prob::IntervalNonlinearProblem, alg::Ridder, args...;
     end
 
     if iszero(fr)
-        return build_solution(prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
+        return build_solution(
+            prob, alg, right, fr; retcode = ReturnCode.ExactSolutionRight,
             left, right)
     end
 

lib/SimpleNonlinearSolve/src/nlsolve/lbroyden.jl

@@ -137,7 +137,8 @@ function __static_solve(prob::NonlinearProblem{<:SArray}, alg::SimpleLimitedMemo
         init_α = inv(alg.alpha)
     end
 
-    converged, res = __unrolled_lbroyden_initial_iterations(prob, xo, fo, δx, abstol, U, Vᵀ,
+    converged, res = __unrolled_lbroyden_initial_iterations(
+        prob, xo, fo, δx, abstol, U, Vᵀ,
         threshold, ls_cache, init_α)
 
     converged &&

lib/SimpleNonlinearSolve/test/core/rootfind_tests.jl

@@ -1,7 +1,7 @@
 @testsetup module RootfindingTesting
 using Reexport
 @reexport using AllocCheck,
-    LinearSolve, StaticArrays, Random, LinearAlgebra, ForwardDiff, DiffEqBase
+                LinearSolve, StaticArrays, Random, LinearAlgebra, ForwardDiff, DiffEqBase
 import PolyesterForwardDiff
 
 quadratic_f(u, p) = u .* u .- p
@@ -22,7 +22,7 @@ end
 const TERMINATION_CONDITIONS = [
     NormTerminationMode(), RelTerminationMode(), RelNormTerminationMode(),
     AbsTerminationMode(), AbsNormTerminationMode(), RelSafeTerminationMode(),
-    AbsSafeTerminationMode(), RelSafeBestTerminationMode(), AbsSafeBestTerminationMode(),
+    AbsSafeTerminationMode(), RelSafeBestTerminationMode(), AbsSafeBestTerminationMode()
 ]
 
 function benchmark_nlsolve_oop(f::F, u0, p = 2.0; solver) where {F}
@@ -35,15 +35,16 @@ function benchmark_nlsolve_iip(f!::F, u0, p = 2.0; solver) where {F}
 end
 
 export quadratic_f, quadratic_f!, quadratic_f2, newton_fails, TERMINATION_CONDITIONS,
-    benchmark_nlsolve_oop, benchmark_nlsolve_iip
+       benchmark_nlsolve_oop, benchmark_nlsolve_iip
 
 end
 
 @testitem "First Order Methods" setup=[RootfindingTesting] begin
     @testset "$(alg)" for alg in (SimpleNewtonRaphson, SimpleTrustRegion,
         (args...; kwargs...) -> SimpleTrustRegion(args...; nlsolve_update_rule = Val(true),
             kwargs...))
-        @testset "AutoDiff: $(nameof(typeof(autodiff))))" for autodiff in (AutoFiniteDiff(),
+        @testset "AutoDiff: $(nameof(typeof(autodiff))))" for autodiff in (
+            AutoFiniteDiff(),
             AutoForwardDiff(), AutoPolyesterForwardDiff())
             @testset "[OOP] u0: $(typeof(u0))" for u0 in ([1.0, 1.0],
                 @SVector[1.0, 1.0], 1.0)