Fix code coverage

Author: blegat

docs/src/extensions.md

@@ -82,7 +82,7 @@ The `descent_state_type` attribute specifies the solver.
 using JuMP, Manopt, Manifolds
 model = Model(Manopt.JuMP_Optimizer)
 # Change the solver with this option, `GradientDescentState` is the default
-set_attribute("descent_state_type", GradientDescentState)
+set_attribute(model, "descent_state_type", GradientDescentState)
 @variable(model, U[1:2, 1:2] in Stiefel(2, 2), start = 1.0)
 @objective(model, Min, sum((A - U) .^ 2))
 optimize!(model)
@@ -117,4 +117,4 @@ MOI.set
 ```@autodocs
 Modules = [Base.get_extension(Manopt, :ManoptJuMPExt)]
 Order   = [:type, :function]
-```
+```

ext/ManoptJuMPExt.jl

@@ -195,7 +195,6 @@ Return a `Bool` indicating whether `attr.name` is a valid option name
 for `Manopt`.
 """
 function MOI.supports(::ManoptOptimizer, ::MOI.RawOptimizerAttribute)
-    @show @__LINE__
     # FIXME Ideally, this should only return `true` if it is a valid keyword argument for
     #       one of the `...DescentState()` constructors. Is there an easy way to check this ?
     #       Does it depend on the different solvers ?
@@ -208,7 +207,6 @@ end
 Return last `value` set by [`set`](@extref `MathOptInterface.set`)`(model, attr, value)`.
 """
 function MOI.get(model::ManoptOptimizer, attr::MOI.RawOptimizerAttribute)
-    @show @__LINE__
     return model.options[attr.name]
 end
 
@@ -219,7 +217,6 @@ Set the value for the keyword argument `attr.name` to give for the constructor
 `model.options[DESCENT_STATE_TYPE]`.
 """
 function MOI.set(model::ManoptOptimizer, attr::MOI.RawOptimizerAttribute, value)
-    @show @__LINE__
     model.options[attr.name] = value
     return nothing
 end
@@ -253,7 +250,6 @@ uses [`default_copy_to`](@extref `MathOptInterface.Utilities.default_copy_to`) a
 [`add_constrained_variables`](@extref `MathOptInterface.add_constrained_variables`) and the objective sense with [`set`](@extref `MathOptInterface.set`).
 """
 function MOI.copy_to(dest::ManoptOptimizer, src::MOI.ModelLike)
-    @show @__LINE__
     return MOI.Utilities.default_copy_to(dest, src)
 end
 

test/MOI_wrapper.jl

@@ -30,8 +30,10 @@ function _test_sphere_sum(model, obj_sign)
     return nothing
 end
 
-function test_sphere()
-    model = Model(Manopt.JuMP_Optimizer)
+function test_sphere(descent_state_type; kws...)
+    model = Model(Manopt.JuMP_Optimizer; kws...)
+    @test MOI.supports(backend(model), MOI.RawOptimizerAttribute("descent_state_type"))
+    set_attribute(model, "descent_state_type", descent_state_type)
     start = normalize(1:3)
     @variable(model, x[i = 1:3] in Sphere(2), start = start[i])
 
@@ -97,11 +99,13 @@ function test_sphere()
     set_start_value(x[3], 1.0)
 
     @variable(model, [1:2, 1:2] in Stiefel(2, 2))
-    return @test_throws MOI.AddConstraintNotAllowed optimize!(model)
+    @test_throws MOI.AddConstraintNotAllowed optimize!(model)
+    return
 end
 
 @testset "JuMP tests" begin
-    test_sphere()
+    test_sphere(GradientDescentState; add_bridges = true)
+    test_sphere(GradientDescentState; add_bridges = false)
 end
 
 function test_runtests()