fmt

Author: joaquimg

src/ConicProgram/ConicProgram.jl

@@ -452,7 +452,7 @@ function DiffOpt._get_dA(
     g = model.back_grad_cache.g
     πz = model.back_grad_cache.πz
     #return DiffOpt.lazy_combination(-, g, πz, n .+ i, 1:n)
-    return g[n.+i] * πz[1:n]' - πz[n.+i] * g[1:n]'
+    return g[n .+ i] * πz[1:n]' - πz[n .+ i] * g[1:n]'
 end
 
 function MOI.get(

test/nlp_program.jl

@@ -76,11 +76,10 @@ function test_compute_optimal_hess_jacobian()
         optimize!(model)
         @assert is_solved_and_feasible(model)
         # Create evaluator
-        nlp_model =
-            DiffOpt._diff(
-                model.moi_backend.optimizer.model,
-                DiffOpt.ForwardDifferentiate(),
-            ).model
+        nlp_model = DiffOpt._diff(
+            model.moi_backend.optimizer.model,
+            DiffOpt.ForwardDifferentiate(),
+        ).model
         _test_create_evaluator(nlp_model)
         cons = nlp_model.cache.cons
         y = [
@@ -413,9 +412,9 @@ function test_compute_derivatives_Analytical(;
     DICT_PROBLEMS = DICT_PROBLEMS_Analytical_no_cc,
 )
     @testset "Compute Derivatives Analytical: $problem_name" for (
-        problem_name,
-        (p_a, Δp, Δx, Δy, Δvu, Δvl, model_generator),
-    ) in DICT_PROBLEMS
+            problem_name,
+            (p_a, Δp, Δx, Δy, Δvu, Δvl, model_generator),
+        ) in DICT_PROBLEMS
         # OPT Problem
         model, primal_vars, cons, params = model_generator()
         set_parameter_value.(params, p_a)
@@ -815,7 +814,7 @@ function test_ObjectiveValue_subset_parameters()
     @variable(model, x[1:10])
 
     # Constraints (decouple by index; gives us per-parameter duals)
-    @constraint(model, c[i = 1:10], x[i] * sin(p[i]) == 1)
+    @constraint(model, c[i=1:10], x[i] * sin(p[i]) == 1)
     @objective(model, Min, sum(x))
 
     optimize!(model)
@@ -931,11 +930,8 @@ function test_ReverseConstraintDual()
     @test all(
         isapprox(
             [
-                MOI.get(
-                    m,
-                    DiffOpt.ReverseConstraintSet(),
-                    ParameterRef(p[i]),
-                ).value for i in 1:2
+                MOI.get(m, DiffOpt.ReverseConstraintSet(), ParameterRef(p[i])).value
+                for i in 1:2
             ],
             zeros(2);
             atol = 1e-8,