Fix format

Author: blegat

src/Bridges/Constraint/bridges/linear_combination.jl

@@ -31,8 +31,8 @@ end
 function _map_function(set::MOI.LinearCombinationInSet, func)
     scalars = MOI.Utilities.eachscalar(func)
     return MOI.Utilities.vectorize([
-        sum(scalars[j] * set.vectors[j][i] for j in eachindex(scalars))
-        for i in 1:MOI.dimension(set.set)
+        sum(scalars[j] * set.vectors[j][i] for j in eachindex(scalars)) for
+        i in 1:MOI.dimension(set.set)
     ])
 end
 
@@ -61,13 +61,10 @@ function MOI.Bridges.inverse_map_set(
     return bridge.set
 end
 
-function MOI.Bridges.adjoint_map_function(
-    bridge::LinearCombinationBridge,
-    func,
-)
+function MOI.Bridges.adjoint_map_function(bridge::LinearCombinationBridge, func)
     scalars = MOI.Utilities.eachscalar(func)
     return MOI.Utilities.vectorize([
-        MOI.Utilities.set_dot(vector, scalars, bridge.set.set)
-        for vector in bridge.set.vectors
+        MOI.Utilities.set_dot(vector, scalars, bridge.set.set) for
+        vector in bridge.set.vectors
     ])
 end

src/Bridges/Variable/bridges/set_dot.jl

@@ -4,8 +4,7 @@
 # Use of this source code is governed by an MIT-style license that can be found
 # in the LICENSE.md file or at https://opensource.org/licenses/MIT.
 
-struct DotProductsBridge{T,S,A,V} <:
-       SetMapBridge{T,S,MOI.SetDotProducts{S,A,V}}
+struct DotProductsBridge{T,S,A,V} <: SetMapBridge{T,S,MOI.SetDotProducts{S,A,V}}
     variables::Vector{MOI.VariableIndex}
     constraint::MOI.ConstraintIndex{MOI.VectorOfVariables,S}
     set::MOI.SetDotProducts{S,A,V}
@@ -59,18 +58,11 @@ function MOI.Bridges.map_function(
     )
 end
 
-function MOI.Bridges.map_function(
-    bridge::DotProductsBridge{T},
-    func,
-) where {T}
+function MOI.Bridges.map_function(bridge::DotProductsBridge{T}, func) where {T}
     scalars = MOI.Utilities.eachscalar(func)
     return MOI.Utilities.vectorize([
-        MOI.Utilities.set_dot(
-            vector,
-            scalars,
-            bridge.set.set,
-        )
-        for vector in bridge.set.vectors
+        MOI.Utilities.set_dot(vector, scalars, bridge.set.set) for
+        vector in bridge.set.vectors
     ])
 end
 

src/Test/test_conic.jl

@@ -5801,7 +5801,11 @@ function test_conic_PositiveSemidefinite_RankOne_polynomial(
             MOI.PositiveSemidefiniteFactorization(T[1, 1]),
         ]),
     )
-    @requires MOI.supports_constraint(model, MOI.VectorAffineFunction{T}, typeof(set))
+    @requires MOI.supports_constraint(
+        model,
+        MOI.VectorAffineFunction{T},
+        typeof(set),
+    )
     @requires MOI.supports_incremental_interface(model)
     @requires MOI.supports(model, MOI.ObjectiveSense())
     @requires MOI.supports(model, MOI.ObjectiveFunction{MOI.VariableIndex}())
@@ -5839,17 +5843,23 @@ function setup_test(
     model::MOIU.MockOptimizer,
     ::Config{T},
 ) where {T<:Real}
-    A = MOI.TriangleVectorization{T,MOI.PositiveSemidefiniteFactorization{T,Vector{T}}}
+    A = MOI.TriangleVectorization{
+        T,
+        MOI.PositiveSemidefiniteFactorization{T,Vector{T}},
+    }
     MOIU.set_mock_optimize!(
         model,
         (mock::MOIU.MockOptimizer) -> MOIU.mock_optimize!(
             mock,
             T[-1],
-            (MOI.VectorAffineFunction{T}, MOI.SetDotProducts{
-                MOI.PositiveSemidefiniteConeTriangle,
-                A,
-                Vector{A},
-            }) => [T[0, 1]],
+            (
+                MOI.VectorAffineFunction{T},
+                MOI.SetDotProducts{
+                    MOI.PositiveSemidefiniteConeTriangle,
+                    A,
+                    Vector{A},
+                },
+            ) => [T[0, 1]],
         ),
     )
     return
@@ -5877,14 +5887,18 @@ function test_conic_PositiveSemidefinite_RankOne_moment(
     @requires MOI.supports_add_constrained_variables(model, typeof(set))
     @requires MOI.supports_incremental_interface(model)
     @requires MOI.supports(model, MOI.ObjectiveSense())
-    @requires MOI.supports(model, MOI.ObjectiveFunction{MOI.ScalarAffineFunction{T}}())
-    y, cy = MOI.add_constrained_variables(
+    @requires MOI.supports(
         model,
-        set,
+        MOI.ObjectiveFunction{MOI.ScalarAffineFunction{T}}(),
     )
+    y, cy = MOI.add_constrained_variables(model, set)
     c = MOI.add_constraint(model, T(1) * y[1] + T(1) * y[2], MOI.EqualTo(T(1)))
     MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
-    MOI.set(model, MOI.ObjectiveFunction{MOI.ScalarAffineFunction{T}}(), T(3) * y[1] - T(1) * y[2])
+    MOI.set(
+        model,
+        MOI.ObjectiveFunction{MOI.ScalarAffineFunction{T}}(),
+        T(3) * y[1] - T(1) * y[2],
+    )
     if _supports(config, MOI.optimize!)
         @test MOI.get(model, MOI.TerminationStatus()) == MOI.OPTIMIZE_NOT_CALLED
         MOI.optimize!(model)
@@ -5912,18 +5926,24 @@ function setup_test(
     model::MOIU.MockOptimizer,
     ::Config{T},
 ) where {T<:Real}
-    A = MOI.TriangleVectorization{T,MOI.PositiveSemidefiniteFactorization{T,Vector{T}}}
+    A = MOI.TriangleVectorization{
+        T,
+        MOI.PositiveSemidefiniteFactorization{T,Vector{T}},
+    }
     MOIU.set_mock_optimize!(
         model,
         (mock::MOIU.MockOptimizer) -> MOIU.mock_optimize!(
             mock,
             T[0, 1],
             (MOI.ScalarAffineFunction{T}, MOI.EqualTo{T}) => [T(-1)],
-            (MOI.VectorOfVariables, MOI.LinearCombinationInSet{
-                MOI.PositiveSemidefiniteConeTriangle,
-                A,
-                Vector{A},
-            }) => [T[4, 0]],
+            (
+                MOI.VectorOfVariables,
+                MOI.LinearCombinationInSet{
+                    MOI.PositiveSemidefiniteConeTriangle,
+                    A,
+                    Vector{A},
+                },
+            ) => [T[4, 0]],
         ),
     )
     return