format

Author: Vaibhavdixit02

src/systems/optimization/optimizationsystem.jl

@@ -365,11 +365,10 @@ function DiffEqBase.OptimizationProblem{iip}(sys::OptimizationSystem, u0map,
             expression = Val{false})
         if cons_j
             _cons_j = let (cons_jac_oop, cons_jac_iip) = generate_jacobian(cons_sys;
-                checkbounds = checkbounds,
-                linenumbers = linenumbers,
-                parallel = parallel, expression = Val{false},
-                sparse = cons_sparse)
-
+                    checkbounds = checkbounds,
+                    linenumbers = linenumbers,
+                    parallel = parallel, expression = Val{false},
+                    sparse = cons_sparse)
                 _cons_j(u, p) = cons_jac_oop(u, p)
                 _cons_j(J, u, p) = (cons_jac_iip(J, u, p); J)
                 _cons_j(u, p::MTKParameters) = cons_jac_oop(u, p...)
@@ -380,7 +379,8 @@ function DiffEqBase.OptimizationProblem{iip}(sys::OptimizationSystem, u0map,
             _cons_j = nothing
         end
         if cons_h
-            _cons_h = let (cons_hess_oop, cons_hess_iip) = generate_hessian(cons_sys, checkbounds = checkbounds,
+            _cons_h = let (cons_hess_oop, cons_hess_iip) = generate_hessian(
+                    cons_sys, checkbounds = checkbounds,
                     linenumbers = linenumbers,
                     sparse = cons_sparse, parallel = parallel,
                     expression = Val{false})

test/optimizationsystem.jl

@@ -318,18 +318,19 @@ end
     @parameters a b
     loss = (a - x)^2 + b * (y - x^2)^2
     cons2 = [x^2 + y^2 ~ 0, y * sin(x) - x ~ 0]
-    sys = complete(OptimizationSystem(loss, [x, y], [a, b], name = :sys2, constraints = cons2))
+    sys = complete(OptimizationSystem(
+        loss, [x, y], [a, b], name = :sys2, constraints = cons2))
     prob = OptimizationProblem(sys, [x => 0.0, y => 0.0], [a => 1.0, b => 100.0],
         grad = true, hess = true, cons_j = true, cons_h = true)
 
     G1 = Array{Float64}(undef, 2)
     H1 = Array{Float64}(undef, 2, 2)
     J = Array{Float64}(undef, 2, 2)
     H3 = [Array{Float64}(undef, 2, 2), Array{Float64}(undef, 2, 2)]
-    
+
     prob.f.grad(G1, [1.0, 1.0], [1.0, 100.0])
     @test prob.f.grad([1.0, 1.0], [1.0, 100.0]) == G1
-    
+
     prob.f.hess(H1, [1.0, 1.0], [1.0, 100.0])
     @test prob.f.hess([1.0, 1.0], [1.0, 100.0]) == H1
 
@@ -338,4 +339,4 @@ end
 
     prob.f.cons_h(H3, [1.0, 1.0], [1.0, 100.0])
     @test prob.f.cons_h([1.0, 1.0], [1.0, 100.0]) == H3
-end
+end