🤖 Format .jl files

Author: abelsiqueira

test/simple_model.jl

@@ -1,35 +1,41 @@
 mutable struct SimpleModel{T, S} <: AbstractNLPModel{T, S}
-  meta :: NLPModelMeta{T, S}
-  counters :: Counters
+  meta::NLPModelMeta{T, S}
+  counters::Counters
 end
 
-SimpleModel(n :: Int) = SimpleModel(NLPModelMeta(n, x0=ones(n)), Counters())
+SimpleModel(n::Int) = SimpleModel(NLPModelMeta(n, x0 = ones(n)), Counters())
 
 function NLPModels.obj(nlp::SimpleModel, x::AbstractVector)
   increment!(nlp, :neval_obj)
-  sum(xi ^ 4 for xi in x) / 12
+  sum(xi^4 for xi in x) / 12
 end
 
 function NLPModels.grad!(nlp::SimpleModel, x::AbstractVector, g::AbstractVector)
   increment!(nlp, :neval_grad)
-  @. g = x ^ 3 / 3
+  @. g = x^3 / 3
   g
 end
 
 function NLPModels.objgrad!(nlp::SimpleModel, x::AbstractVector, g::AbstractVector)
   increment!(nlp, :neval_obj)
   increment!(nlp, :neval_grad)
-  @. g = x ^ 3 / 3
-  return sum(xi ^4 for xi in x) / 12, g
+  @. g = x^3 / 3
+  return sum(xi^4 for xi in x) / 12, g
 end
 
-function NLPModels.hprod!(nlp::SimpleModel, x::AbstractVector{T}, v::AbstractVector, Hv::AbstractVector; obj_weight::T = one(T)) where T
+function NLPModels.hprod!(
+  nlp::SimpleModel,
+  x::AbstractVector{T},
+  v::AbstractVector,
+  Hv::AbstractVector;
+  obj_weight::T = one(T),
+) where {T}
   increment!(nlp, :neval_hprod)
-  @. Hv = obj_weight * x ^ 2 * v
+  @. Hv = obj_weight * x^2 * v
   Hv
 end
 
-function NLPModels.hess(nlp::SimpleModel, x::AbstractVector{T}; obj_weight::T = one(T)) where T
+function NLPModels.hess(nlp::SimpleModel, x::AbstractVector{T}; obj_weight::T = one(T)) where {T}
   increment!(nlp, :neval_hprod)
   return obj_weight .* diagm(0 => x .^ 2)
-end
+end

test/test_linesearch.jl

@@ -24,13 +24,13 @@ allocate:
 ```
 """
 macro wrappedallocs(expr)
-    argnames = [gensym() for a in expr.args]
-    quote
-        function g($(argnames...))
-            @allocated $(Expr(expr.head, argnames...))
-        end
-        $(Expr(:call, :g, [esc(a) for a in expr.args]...))
+  argnames = [gensym() for a in expr.args]
+  quote
+    function g($(argnames...))
+      @allocated $(Expr(expr.head, argnames...))
     end
+    $(Expr(:call, :g, [esc(a) for a in expr.args]...))
+  end
 end
 
 @testset "Linesearch" begin
@@ -128,11 +128,11 @@ end
       @test al == 0
 
       function armijo_wolfe_alloc(lm, h₀, slope, g, bk_max)
-        @allocated armijo_wolfe(lm, h₀, slope, g, bk_max=bk_max)
+        @allocated armijo_wolfe(lm, h₀, slope, g, bk_max = bk_max)
       end
 
       for bk_max = 0:8
-        (t, gg, ht, nbk, nbW) = armijo_wolfe(lm, h₀, slope, g, bk_max=bk_max)
+        (t, gg, ht, nbk, nbW) = armijo_wolfe(lm, h₀, slope, g, bk_max = bk_max)
         al = armijo_wolfe_alloc(lm, h₀, slope, g, bk_max)
         @test al == 0
       end