[AUTO] JuliaFormatter.jl run

old/problems/NN_CIFAR10.jl

@@ -24,4 +24,3 @@ trained_model = train_knetNLPmodel!(
     all_data = false,
     verbose = false,
 )
-

old/testParam.jl

@@ -64,4 +64,3 @@
 
 
 # C = R2ParameterSet{R}(√eps(R), √eps(R), 0.1, 0.01, 0.1, 1.9, zero(R), 0.9) # with issues
-

src/SR2.jl

@@ -101,7 +101,16 @@ end
     kwargs...,
 ) where {T,V}
     solver = SR2Solver(nlp)
-    nlp_param = R2ParameterSet{T}(atol=atol, rtol=rtol, η1=η1, η2=η2, γ1=γ1, γ2=γ2, σmin=σmin, β = β) #(√eps(R), √eps(R), 0.1, 0.3, 1.1, 1.9, zero(R), 0.9) # TODO add the param here
+    nlp_param = R2ParameterSet{T}(
+        atol = atol,
+        rtol = rtol,
+        η1 = η1,
+        η2 = η2,
+        γ1 = γ1,
+        γ2 = γ2,
+        σmin = σmin,
+        β = β,
+    ) #(√eps(R), √eps(R), 0.1, 0.3, 1.1, 1.9, zero(R), 0.9) # TODO add the param here
     return SolverCore.solve!(solver, nlp_param, nlp; kwargs...)
 end
 

src/main.jl

@@ -58,4 +58,4 @@ include("models/lenet_mnist.jl")
 
 
 #TODO 
-# RENSET
+# RENSET