Reformat source code

test/lmp/aelmp_test.jl

@@ -3,37 +3,33 @@
 # Released under the modified BSD license. See COPYING.md for more details.
 
 using UnitCommitment, Cbc, HiGHS, JuMP
-import UnitCommitment:
-    AELMP
+import UnitCommitment: AELMP
 
 @testset "aelmp" begin
     path = "$FIXTURES/aelmp_simple.json.gz"
     # model has to be solved first
     instance = UnitCommitment.read(path)
     model = UnitCommitment.build_model(
-        instance=instance,
-        optimizer=Cbc.Optimizer,
+        instance = instance,
+        optimizer = Cbc.Optimizer,
         variable_names = true,
     )
     JuMP.set_silent(model)
     UnitCommitment.optimize!(model)
 
     # policy 1: allow offlines; consider startups
-    aelmp_1 = UnitCommitment.compute_lmp(
-        model, 
-        AELMP(),
-        optimizer=HiGHS.Optimizer
-    )
+    aelmp_1 =
+        UnitCommitment.compute_lmp(model, AELMP(), optimizer = HiGHS.Optimizer)
     @test aelmp_1["B1", 1] ≈ 231.7 atol = 0.1
 
     # policy 2: do not allow offlines; but consider startups
     aelmp_2 = UnitCommitment.compute_lmp(
-        model, 
+        model,
         AELMP(
-            allow_offline_participation=false,
-            consider_startup_costs=true
+            allow_offline_participation = false,
+            consider_startup_costs = true,
         ),
-        optimizer=HiGHS.Optimizer
+        optimizer = HiGHS.Optimizer,
     )
     @test aelmp_2["B1", 1] ≈ 274.3 atol = 0.1
-end
+end

test/lmp/lmp_test.jl

@@ -17,7 +17,7 @@ function solve_lmp_testcase(path::String)
     lmp = UnitCommitment.compute_lmp(
         model,
         ConventionalLMP(),
-        optimizer=HiGHS.Optimizer,
+        optimizer = HiGHS.Optimizer,
     )
     return lmp
 end
@@ -48,4 +48,4 @@ end
     @test lmp["A", 1] == 50.0
     @test lmp["B", 1] == 70.0
     @test lmp["C", 1] == 90.0
-end
+end