Fix format

Author: blegat

src/RelativeEntropy/RelativeEntropy.jl

@@ -169,13 +169,17 @@ function DecompositionAttribute(tol::Real)
     return DecompositionAttribute(tol, 1)
 end
 
-function decomposition(con_ref::JuMP.ConstraintRef; tol::Real, result_index::Int = 1)
+function decomposition(
+    con_ref::JuMP.ConstraintRef;
+    tol::Real,
+    result_index::Int = 1,
+)
     monos = con_ref.shape.monomials
     attr = DecompositionAttribute(tol, result_index)
-    return Decomposition(
-        [MP.polynomial(a, monos)
-        for a in MOI.get(JuMP.owner_model(con_ref), attr, con_ref)]
-    )
+    return Decomposition([
+        MP.polynomial(a, monos) for
+        a in MOI.get(JuMP.owner_model(con_ref), attr, con_ref)
+    ])
 end
 
 MOI.is_set_by_optimize(::DecompositionAttribute) = true

src/RelativeEntropy/bridges/sage.jl

@@ -78,10 +78,13 @@ function MOI.get(
         !isempty,
         [
             filter(
-                x -> !isapprox(x, zero(x), atol=attr.tol),
-                MOI.get(model, MOI.VariablePrimal(attr.result_index), bridge.ν[k, :])
-            )
-            for k in axes(bridge.ν, 1)
-        ]
+                x -> !isapprox(x, zero(x), atol = attr.tol),
+                MOI.get(
+                    model,
+                    MOI.VariablePrimal(attr.result_index),
+                    bridge.ν[k, :],
+                ),
+            ) for k in axes(bridge.ν, 1)
+        ],
     )
 end

src/RelativeEntropy/bridges/signomial.jl

@@ -31,12 +31,21 @@ function MOI.Bridges.Constraint.bridge_constraint(
         if any(isodd, set.α[i, :])
             vi = MOI.add_variable(model)
             # vi ≤ -|g[i]|
-            MOI.Utilities.normalize_and_add_constraint(model, one(T) * vi - g[i], MOI.LessThan(zero(T)))
-            MOI.Utilities.normalize_and_add_constraint(model, one(T) * vi + g[i], MOI.LessThan(zero(T)))
+            MOI.Utilities.normalize_and_add_constraint(
+                model,
+                one(T) * vi - g[i],
+                MOI.LessThan(zero(T)),
+            )
+            MOI.Utilities.normalize_and_add_constraint(
+                model,
+                one(T) * vi + g[i],
+                MOI.LessThan(zero(T)),
+            )
             g[i] = vi
         end
     end
-    constraint = MOI.add_constraint(model, MOI.Utilities.vectorize(g), _signomial(set))
+    constraint =
+        MOI.add_constraint(model, MOI.Utilities.vectorize(g), _signomial(set))
     return SignomialBridge{T,S,P,F}(constraint)
 end
 

test/relative_entropy.jl

@@ -26,15 +26,18 @@ function _test_motzkin(x, y, T, solver, set, feasible, square, neg)
     if feasible
         @test termination_status(model) == MOI.OPTIMAL
         @test primal_status(model) == MOI.FEASIBLE_POINT
-        if set isa Union{PolyJuMP.RelativeEntropy.SignomialSAGESet,
-            PolyJuMP.RelativeEntropy.PolynomialSAGESet}
+        if set isa Union{
+            PolyJuMP.RelativeEntropy.SignomialSAGESet,
+            PolyJuMP.RelativeEntropy.PolynomialSAGESet,
+        }
             d = PolyJuMP.RelativeEntropy.decomposition(con_ref; tol = 1e-6)
             p = MP.polynomial(d)
             if set isa PolyJuMP.RelativeEntropy.SignomialSAGESet
                 @test p ≈ motzkin atol = 1e-6
             else
                 for m in MP.monomials(p - motzkin)
-                    @test MP.coefficient(p, m) ≈ MP.coefficient(motzkin, m) atol = 1e-6
+                    @test MP.coefficient(p, m) ≈ MP.coefficient(motzkin, m) atol =
+                        1e-6
                 end
             end
         end