Fix formatting

SciML · Sep 21, 2023 · 086a26f · 086a26f
1 parent b2946b1
commit 086a26f
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Showing 4 changed files with 7 additions and 6 deletions.
diff --git a/src/jacobian.jl b/src/jacobian.jl
@@ -50,7 +50,7 @@ jacobian!!(::Number, cache) = last(value_derivative(cache.uf, cache.u))
 
 # Build Jacobian Caches
 function jacobian_caches(alg::AbstractNonlinearSolveAlgorithm, f, u, p, ::Val{iip};
-    linsolve_kwargs=(;)) where {iip}
+    linsolve_kwargs = (;)) where {iip}
     uf = JacobianWrapper{iip}(f, p)
 
     haslinsolve = hasfield(typeof(alg), :linsolve)

diff --git a/src/levenberg.jl b/src/levenberg.jl
@@ -142,7 +142,7 @@ isinplace(::LevenbergMarquardtCache{iip}) where {iip} = iip
 
 function SciMLBase.__init(prob::NonlinearProblem{uType, iip}, alg::LevenbergMarquardt,
     args...; alias_u0 = false, maxiters = 1000, abstol = 1e-6, internalnorm = DEFAULT_NORM,
-    linsolve_kwargs=(;), kwargs...) where {uType, iip}
+    linsolve_kwargs = (;), kwargs...) where {uType, iip}
     @unpack f, u0, p = prob
     u = alias_u0 ? u0 : deepcopy(u0)
     fu1 = evaluate_f(prob, u)

diff --git a/src/raphson.jl b/src/raphson.jl
@@ -41,7 +41,7 @@ concrete_jac(::NewtonRaphson{CJ}) where {CJ} = CJ
 function NewtonRaphson(; concrete_jac = nothing, linsolve = nothing,
     linesearch = LineSearch(), precs = DEFAULT_PRECS, adkwargs...)
     ad = default_adargs_to_adtype(; adkwargs...)
-    linesearch = linesearch isa LineSearch ? linesearch : LineSearch(; method=linesearch)
+    linesearch = linesearch isa LineSearch ? linesearch : LineSearch(; method = linesearch)
     return NewtonRaphson{_unwrap_val(concrete_jac)}(ad, linsolve, precs, linesearch)
 end
 
@@ -71,7 +71,7 @@ isinplace(::NewtonRaphsonCache{iip}) where {iip} = iip
 
 function SciMLBase.__init(prob::NonlinearProblem{uType, iip}, alg::NewtonRaphson, args...;
     alias_u0 = false, maxiters = 1000, abstol = 1e-6, internalnorm = DEFAULT_NORM,
-    linsolve_kwargs=(;), kwargs...) where {uType, iip}
+    linsolve_kwargs = (;), kwargs...) where {uType, iip}
     @unpack f, u0, p = prob
     u = alias_u0 ? u0 : deepcopy(u0)
     fu1 = evaluate_f(prob, u)

diff --git a/src/trustRegion.jl b/src/trustRegion.jl
@@ -202,15 +202,16 @@ end
 
 function SciMLBase.__init(prob::NonlinearProblem{uType, iip}, alg::TrustRegion, args...;
     alias_u0 = false, maxiters = 1000, abstol = 1e-8, internalnorm = DEFAULT_NORM,
-    linsolve_kwargs=(;), kwargs...) where {uType, iip}
+    linsolve_kwargs = (;), kwargs...) where {uType, iip}
     @unpack f, u0, p = prob
     u = alias_u0 ? u0 : deepcopy(u0)
     u_prev = zero(u)
     fu1 = evaluate_f(prob, u)
     fu_prev = zero(fu1)
 
     loss = get_loss(fu1)
-    uf, linsolve, J, fu2, jac_cache, du = jacobian_caches(alg, f, u, p, Val(iip); linsolve_kwargs)
+    uf, linsolve, J, fu2, jac_cache, du = jacobian_caches(alg, f, u, p, Val(iip);
+        linsolve_kwargs)
 
     radius_update_scheme = alg.radius_update_scheme
     max_trust_radius = convert(eltype(u), alg.max_trust_radius)