Formatting

Author: avik-pal

src/NonlinearSolve.jl

@@ -45,23 +45,23 @@ import PrecompileTools
 
 PrecompileTools.@compile_workload begin
     for T in (Float32, Float64)
-        # prob = NonlinearProblem{false}((u, p) -> u .* u .- p, T(0.1), T(2))
+        prob = NonlinearProblem{false}((u, p) -> u .* u .- p, T(0.1), T(2))
 
-        #         precompile_algs = if VERSION ≥ v"1.7"
-        #             (NewtonRaphson(), TrustRegion(), LevenbergMarquardt())
-        #         else
-        #             (NewtonRaphson(),)
-        #         end
+        precompile_algs = if VERSION ≥ v"1.7"
+            (NewtonRaphson(), TrustRegion(), LevenbergMarquardt())
+        else
+            (NewtonRaphson(),)
+        end
 
-        #         for alg in precompile_algs
-        #             solve(prob, alg, abstol = T(1e-2))
-        #         end
+        for alg in precompile_algs
+            solve(prob, alg, abstol = T(1e-2))
+        end
 
         prob = NonlinearProblem{true}((du, u, p) -> du[1] = u[1] * u[1] - p[1], T[0.1],
             T[2])
-        #         for alg in precompile_algs
-        #             solve(prob, alg, abstol = T(1e-2))
-        #         end
+        for alg in precompile_algs
+            solve(prob, alg, abstol = T(1e-2))
+        end
     end
 end
 

test/basictests.jl

@@ -364,10 +364,10 @@ end
         for options in list_of_options
             local probN, sol, alg
             alg = LevenbergMarquardt(damping_initial = options[1],
-                    damping_increase_factor = options[2],
-                    damping_decrease_factor = options[3],
-                    finite_diff_step_geodesic = options[4], α_geodesic = options[5],
-                    b_uphill = options[6], min_damping_D = options[7])
+                damping_increase_factor = options[2],
+                damping_decrease_factor = options[3],
+                finite_diff_step_geodesic = options[4], α_geodesic = options[5],
+                b_uphill = options[6], min_damping_D = options[7])
 
             probN = NonlinearProblem{false}(quadratic_f, [1.0, 1.0], 2.0)
             sol = solve(probN, alg, abstol = 1e-10)