Codecov updates.

.codecov.yml

@@ -1,4 +1,3 @@
 ignore:
-  - "src/examples/.*"
-  - "src/tutorials/.*"
   - "src/helpers/exports/.*" # exclude exports, since there are no CI tests for Asy-exports
+  - "src/documentation_glossary.jl" # exclude this since it is just use to create the docs and code cov goes bogus on this.

src/Manopt.jl

@@ -253,7 +253,7 @@ function __init__()
     #
     # Error Hints
     #
-    @static if isdefined(Base.Experimental, :register_error_hint)
+    @static if isdefined(Base.Experimental, :register_error_hint) # COV_EXCL_LINE
         Base.Experimental.register_error_hint(MethodError) do io, exc, argtypes, kwargs
             if exc.f === convex_bundle_method_subsolver
                 print(
@@ -274,7 +274,7 @@ function __init__()
     #
     # Requires fallback for Julia < 1.9
     #
-    @static if !isdefined(Base, :get_extension)
+    @static if !isdefined(Base, :get_extension) # COV_EXCL_LINE
         @require JuMP = "4076af6c-e467-56ae-b986-b466b2749572" begin
             include("../ext/ManoptJuMPExt.jl")
         end

src/plans/augmented_lagrangian_plan.jl

@@ -1,5 +1,3 @@
-#_doc_al_Cost() = "$(_tex(:Cal, "L"))_\\rho(p, μ, λ)"
-_doc_al_Cost(iter) = "$(_tex(:Cal, "L"))_{ρ^{($iter)}}(p, μ^{($iter)}, λ^{($iter)})"
 _doc_AL_Cost_long = raw"""
 ```math
 \mathcal L_\rho(p, μ, λ)

test/solvers/test_adaptive_regularization_with_cubics.jl

@@ -243,10 +243,10 @@ include("../utils/example_tasks.jl")
     @testset "Start at a point with _exactly_ gradient zero - In Tutorial mode" begin
         p0 = zeros(2)
         M = Euclidean(2)
-        @test_logs (:info,) Manopt.set_parameter!(:Mode, "")
+        @test_logs (:info,) Manopt.set_parameter!(:Mode, "Tutorial")
         f2(M, p) = 0
         grad_f2(M, p) = [0.0, 0.0]
         @test adaptive_regularization_with_cubics(M, f2, grad_f2, p0) == p0
-        @test_logs (:info,) Manopt.set_parameter!(:Mode, "Tutorial")
+        @test_logs (:info,) Manopt.set_parameter!(:Mode, "")
     end
 end