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[AUTO] JuliaFormatter.jl run #731

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Merged
ocots merged 1 commit into from
Mar 18, 2026
Merged

[AUTO] JuliaFormatter.jl run #731

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4 changes: 2 additions & 2 deletions src/helpers/print.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -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"
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4 changes: 1 addition & 3 deletions src/imports/ctsolvers.jl
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Expand Up @@ -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:

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2 changes: 1 addition & 1 deletion test/suite/reexport/test_ctflows.jl
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion test/suite/reexport/test_ctsolvers.jl
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Expand Up @@ -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
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35 changes: 27 additions & 8 deletions test/suite/solve/test_canonical.jl
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Expand Up @@ -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())]
Expand Down Expand Up @@ -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
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