format

src/alg_traits.jl

@@ -140,7 +140,7 @@ requiresgradient(opt) = false
     allowsfg(opt)
 
 Trait declaration for whether an optimizer
-allows combined function and gradient evaluation 
+allows combined function and gradient evaluation
 in `instantiate_function`.
 
 Defaults to false.
@@ -161,7 +161,7 @@ requireshessian(opt) = false
     allowsfgh(opt)
 
 Trait declaration for whether an optimizer
-allows combined function, gradient, and hessian 
+allows combined function, gradient, and hessian
 evaluation in `instantiate_function`.
 
 Defaults to false.
@@ -172,7 +172,7 @@ allowsfgh(opt) = false
     requiresconsjac(opt)
 
 Trait declaration for whether an optimizer
-requires `cons_j` in `instantiate_function`, that is, 
+requires `cons_j` in `instantiate_function`, that is,
 does the optimizer require a constraints' Jacobian.
 
 Defaults to false.
@@ -205,7 +205,7 @@ allowsconsvjp(opt) = false
     requiresconshess(opt)
 
 Trait declaration for whether an optimizer
-requires cons_h in `instantiate_function`, that is, 
+requires cons_h in `instantiate_function`, that is,
 does the optimizer require constraints' hessian.
 
 Defaults to false.
@@ -216,7 +216,7 @@ requiresconshess(opt) = false
     requireslagh(opt)
 
 Trait declaration for whether an optimizer
-requires lag_h in `instantiate_function`, that is, 
+requires lag_h in `instantiate_function`, that is,
 does the optimizer require lagrangian hessian.
 
 Defaults to false.

src/remake.jl

@@ -33,16 +33,16 @@ function _remake_internal(thing; kwargs...)
     named_thing = struct_as_namedtuple(thing)
     if :kwargs ∈ fieldnames(typeof(thing))
         if :args ∈ fieldnames(typeof(thing))
-            named_thing = Base.structdiff(named_thing, (;args=()))
+            named_thing = Base.structdiff(named_thing, (; args = ()))
             if :args ∉ keys(kwargs)
-                k = Base.structdiff(named_thing, (;args=()))
+                k = Base.structdiff(named_thing, (; args = ()))
                 if :kwargs ∉ keys(kwargs)
                     T(; named_thing..., thing.kwargs..., kwargs...)
                 else
                     T(; named_thing..., kwargs[:kwargs]...)
                 end
             else
-                kwargs2 = Base.structdiff((;kwargs...), (;args=()))
+                kwargs2 = Base.structdiff((; kwargs...), (; args = ()))
                 if :kwargs ∉ keys(kwargs)
                     T(kwargs[:args]...; named_thing..., thing.kwargs..., kwargs2...)
                 else

src/solve.jl

@@ -79,8 +79,8 @@ callback = function (state, l, pred; doplot = false) #callback function to obser
 end
 ```
 
-If the chosen method is a global optimizer that employs a local optimization 
-method, a similar set of common local optimizer arguments exists. Look at `MLSL` or `AUGLAG` 
+If the chosen method is a global optimizer that employs a local optimization
+method, a similar set of common local optimizer arguments exists. Look at `MLSL` or `AUGLAG`
 from NLopt for an example. The common local optimizer arguments are:
 
   - `local_method`: optimizer used for local optimization in global method

test/remake_tests.jl

@@ -286,12 +286,12 @@ tmp = newprob.g([0.0, 0.0, 0.0], [1.0, 2.0, 3.0], nothing, 0.0)
 @test tmp≈[0.2, 0.4, 0.6] atol=1e-6
 
 struct Remake_Test1
-   p
-   args
-   kwargs
+    p::Any
+    args::Any
+    kwargs::Any
 end
 Remake_Test1(args...; p, kwargs...) = Remake_Test1(p, args, kwargs)
-a = Remake_Test1(p=1)
-@test @inferred remake(a, p=2) == Remake_Test1(p=2)
-@test @inferred remake(a, args=1) == Remake_Test1(1, p=1)
-@test @inferred remake(a, kwargs=(;a=1)) == Remake_Test1(p=1, a=1)
+a = Remake_Test1(p = 1)
+@test @inferred remake(a, p = 2) == Remake_Test1(p = 2)
+@test @inferred remake(a, args = 1) == Remake_Test1(1, p = 1)
+@test @inferred remake(a, kwargs = (; a = 1)) == Remake_Test1(p = 1, a = 1)