format

Author: chriselrod

src/systems/optimization/modelingtoolkitize.jl

@@ -27,7 +27,7 @@ function modelingtoolkitize(prob::DiffEqBase.OptimizationProblem; kwargs...)
             for i in 1:num_cons
                 if !isinf(prob.lcons[i])
                     if prob.lcons[i] != prob.ucons[i]
-                       push!(cons, prob.lcons[i] ≲ lhs[i])
+                        push!(cons, prob.lcons[i] ≲ lhs[i])
                     else
                         push!(cons, lhs[i] ~ prob.ucons[i])
                     end

src/systems/optimization/optimizationsystem.jl

@@ -269,7 +269,7 @@ function DiffEqBase.OptimizationProblem{iip}(sys::OptimizationSystem, u0map,
         expression = Val{false})
 
     obj_expr = subs_constants(objective(sys))
-    
+
     if grad
         grad_oop, grad_iip = generate_gradient(sys, checkbounds = checkbounds,
             linenumbers = linenumbers,

test/optimizationsystem.jl

@@ -289,10 +289,17 @@ end
     @parameters a b
     loss = (a - x)^2 + b * (y - x^2)^2
     @named sys = OptimizationSystem(loss, [x, y], [a, b], constraints = [x^2 + y^2 ≲ 0.0])
-    @test_throws ArgumentError OptimizationProblem(sys, [x => 0.0, y => 0.0], [a => 1.0, b => 100.0], lcons = [0.0])
-    @test_throws ArgumentError OptimizationProblem(sys, [x => 0.0, y => 0.0], [a => 1.0, b => 100.0], ucons = [0.0])
+    @test_throws ArgumentError OptimizationProblem(sys,
+        [x => 0.0, y => 0.0],
+        [a => 1.0, b => 100.0],
+        lcons = [0.0])
+    @test_throws ArgumentError OptimizationProblem(sys,
+        [x => 0.0, y => 0.0],
+        [a => 1.0, b => 100.0],
+        ucons = [0.0])
 
     prob = OptimizationProblem(sys, [x => 0.0, y => 0.0], [a => 1.0, b => 100.0])
     @test prob.f.expr isa Symbolics.Symbolic
-    @test all(prob.f.cons_expr[i].lhs isa Symbolics.Symbolic for i in 1:length(prob.f.cons_expr)) 
-end
+    @test all(prob.f.cons_expr[i].lhs isa Symbolics.Symbolic
+              for i in 1:length(prob.f.cons_expr))
+end