Merge pull request #731 from control-toolbox/auto-juliaformatter-pr

[AUTO] JuliaFormatter.jl run

Author: ocots

src/helpers/print.jl

@@ -30,9 +30,9 @@ function _ansi_color(color::Symbol, bold::Bool=false)
         :magenta => 35,
         :cyan => 36,
         :white => 37,
-        :default => 39
+        :default => 39,
     )
-    
+
     code = get(color_codes, color, 39)
     if bold
         return "\033[1;$(code)m"

src/imports/ctsolvers.jl

@@ -30,9 +30,7 @@ import CTSolvers:
     # Parameter types (imported only, not reexported)
     AbstractStrategyParameter
 
-@reexport import CTSolvers:
-    CPU,
-    GPU
+@reexport import CTSolvers: CPU, GPU
 
 @reexport import CTSolvers:
 

test/suite/reexport/test_ctflows.jl

@@ -9,7 +9,7 @@ module TestCtflows
 
 using Test: Test
 using OptimalControl # using is mandatory since we test exported symbols
-import CTFlows # needed for abstract type checks
+using CTFlows: CTFlows # needed for abstract type checks
 
 const VERBOSE = isdefined(Main, :TestOptions) ? Main.TestOptions.VERBOSE : true
 const SHOWTIMING = isdefined(Main, :TestOptions) ? Main.TestOptions.SHOWTIMING : true

test/suite/reexport/test_ctsolvers.jl

@@ -10,7 +10,7 @@ module TestCtsolvers
 using Test: Test
 using CTSolvers: CTSolvers
 using OptimalControl # using is mandatory since we test exported symbols
-import SolverCore # needed for ocp_solution signature check
+using SolverCore: SolverCore # needed for ocp_solution signature check
 
 const VERBOSE = isdefined(Main, :TestOptions) ? Main.TestOptions.VERBOSE : true
 const SHOWTIMING = isdefined(Main, :TestOptions) ? Main.TestOptions.SHOWTIMING : true

test/suite/solve/test_canonical.jl

@@ -67,14 +67,34 @@ function test_canonical()
         modeler_solver_pairs = [
             # ADNLP modeler with all solvers
             ("ADNLP", "Ipopt", OptimalControl.ADNLP(), OptimalControl.Ipopt(print_level=0)),
-            ("ADNLP", "MadNLP", OptimalControl.ADNLP(), OptimalControl.MadNLP(print_level=MadNLP.ERROR)),
+            (
+                "ADNLP",
+                "MadNLP",
+                OptimalControl.ADNLP(),
+                OptimalControl.MadNLP(print_level=MadNLP.ERROR),
+            ),
             ("ADNLP", "Uno", OptimalControl.ADNLP(), OptimalControl.Uno(logger="SILENT")),
-            ("ADNLP", "MadNCL", OptimalControl.ADNLP(), OptimalControl.MadNCL(print_level=MadNLP.ERROR)),
+            (
+                "ADNLP",
+                "MadNCL",
+                OptimalControl.ADNLP(),
+                OptimalControl.MadNCL(print_level=MadNLP.ERROR),
+            ),
             # Exa modeler with all solvers
             ("Exa", "Ipopt", OptimalControl.Exa(), OptimalControl.Ipopt(print_level=0)),
-            ("Exa", "MadNLP", OptimalControl.Exa(), OptimalControl.MadNLP(print_level=MadNLP.ERROR)),
+            (
+                "Exa",
+                "MadNLP",
+                OptimalControl.Exa(),
+                OptimalControl.MadNLP(print_level=MadNLP.ERROR),
+            ),
             ("Exa", "Uno", OptimalControl.Exa(), OptimalControl.Uno(logger="SILENT")),
-            ("Exa", "MadNCL", OptimalControl.Exa(), OptimalControl.MadNCL(print_level=MadNLP.ERROR)),
+            (
+                "Exa",
+                "MadNCL",
+                OptimalControl.Exa(),
+                OptimalControl.MadNCL(print_level=MadNLP.ERROR),
+            ),
         ]
 
         problems = [("Beam", Beam()), ("Goddard", Goddard())]
@@ -140,10 +160,9 @@ function test_canonical()
                         Test.@testset "$dname / $mname / $sname" begin
                             Test.@test success
                             if success
-                                Test.@test solve_result isa
-                                    OptimalControl.AbstractSolution
-                                Test.@test OptimalControl.objective(solve_result) ≈
-                                    pb.obj rtol = OBJ_RTOL
+                                Test.@test solve_result isa OptimalControl.AbstractSolution
+                                Test.@test OptimalControl.objective(solve_result) ≈ pb.obj rtol =
+                                    OBJ_RTOL
                             end
                         end
                     end