use correct names

Author: jClugstor

lib/NonlinearSolveBase/src/NonlinearSolveBase.jl

@@ -38,7 +38,7 @@ include("public.jl")
 include("utils.jl")
 include("verbosity.jl")
 
-const non_linear_verbose = ScopedValue(NonlinearVerbosity())
+const nonlinear_verbose = ScopedValue(NonlinearVerbosity())
 
 include("abstract_types.jl")
 include("common_defaults.jl")

lib/NonlinearSolveBase/src/autodiff.jl

@@ -25,7 +25,7 @@ function select_forward_mode_autodiff(
        !is_finite_differences_backend(ad)
 
        @SciMLMessage("The chosen AD backend $(ad) is not a forward mode AD. Use with caution.",
-       nonlinear_verbosity[], :fd_ad_caution, :error_control)
+       nonlinear_verbose[], :fd_ad_caution, :error_control)
 
     end
     if incompatible_backend_and_problem(prob, ad)
@@ -34,7 +34,7 @@ function select_forward_mode_autodiff(
         @SciMLMessage("The chosen AD backend `$(ad)` does not support the chosen problem. This \
                could be because the backend package for the chosen AD isn't loaded. After \
                running autodiff selection detected `$(adₙ)` as a potential forward mode \
-               backend.", nonlinear_verbosity[], :ad_backend_incompatible, :error_control)
+               backend.", nonlinear_verbose[], :ad_backend_incompatible, :error_control)
 
         return adₙ
     end
@@ -56,14 +56,14 @@ function select_reverse_mode_autodiff(
        !(ADTypes.mode(ad) isa ADTypes.ForwardOrReverseMode) &&
        !is_finite_differences_backend(ad)
         @SciMLMessage("The chosen AD backend $(ad) is not a forward mode AD. Use with caution.",
-            nonlinear_verbosity[], :fd_ad_caution, :error_control)
+            nonlinear_verbose[], :fd_ad_caution, :error_control)
     end
     if incompatible_backend_and_problem(prob, ad)
         adₙ = select_reverse_mode_autodiff(prob, nothing; warn_check_mode)
         @SciMLMessage("The chosen AD backend `$(ad)` does not support the chosen problem. This \
         could be because the backend package for the chosen AD isn't loaded. After \
         running autodiff selection detected `$(adₙ)` as a potential forward mode \
-        backend.", nonlinear_verbosity[], :ad_backend_incompatible, :error_control)
+        backend.", nonlinear_verbose[], :ad_backend_incompatible, :error_control)
         return adₙ
     end
     return ad
@@ -84,7 +84,7 @@ function select_jacobian_autodiff(prob::AbstractNonlinearProblem, ad::AbstractAD
         @SciMLMessage("The chosen AD backend `$(ad)` does not support the chosen problem. This \
         could be because the backend package for the chosen AD isn't loaded. After \
         running autodiff selection detected `$(adₙ)` as a potential forward mode \
-        backend.", nonlinear_verbosity[], :ad_backend_incompatible, :error_control)
+        backend.", nonlinear_verbose[], :ad_backend_incompatible, :error_control)
         return adₙ
     end
     return ad

lib/NonlinearSolveBase/src/jacobian.jl

@@ -181,14 +181,14 @@ function construct_concrete_adtype(f::NonlinearFunction, ad::AbstractADType)
         if f.jac_prototype === nothing
             if SciMLBase.has_colorvec(f)
                 @SciMLMessage("`colorvec` is provided but `sparsity` and `jac_prototype` is not \
-                       specified. `colorvec` will be ignored.", nonlinear_verbosity[], :colorvec_no_prototype, :performance )
+                       specified. `colorvec` will be ignored.", nonlinear_verbose[], :colorvec_no_prototype, :performance )
             end
             return ad # No sparse AD
         else
             if !sparse_or_structured_prototype(f.jac_prototype)
                 if SciMLBase.has_colorvec(f)
                     @SciMLMessage("`colorvec` is provided but `jac_prototype` is not a sparse \
-                           or structured matrix. `colorvec` will be ignored.", nonlinear_verbosity[], :colorvec_non_sparse, :performance)
+                           or structured matrix. `colorvec` will be ignored.", nonlinear_verbose[], :colorvec_non_sparse, :performance)
                 end
                 return ad
             end
@@ -256,7 +256,7 @@ function select_fastest_coloring_algorithm(
         prototype, f::NonlinearFunction, ad::AbstractADType)
     if !Utils.is_extension_loaded(Val(:SparseMatrixColorings))
         @SciMLMessage("`SparseMatrixColorings` must be explicitly imported for sparse automatic \
-               differentiation to work. Proceeding with Dense Automatic Differentiation.", :sparse_matrix_colorings_not_loaded, :performance)
+               differentiation to work. Proceeding with Dense Automatic Differentiation.", nonlinear_verbose[], :sparse_matrix_colorings_not_loaded, :performance)
         return nothing
     end
     return select_fastest_coloring_algorithm(Val(:SparseMatrixColorings), prototype, f, ad)

lib/NonlinearSolveBase/src/solve.jl

@@ -7,7 +7,7 @@ function SciMLBase.__solve(
                 linsolve_kwargs, (; verbose = verbose.linear_verbosity))
     end
 
-    @with non_linear_verbose => verbose begin
+    @with nonlinear_verbose => verbose begin
         cache = SciMLBase.__init(prob, alg, args...; linsolve_kwargs, kwargs...)
         sol = CommonSolve.solve!(cache)
     end