@@ -151,13 +151,11 @@ x, _ = ModelingToolkit.get_u0_p(simplified_sys, op)
151151p =  ModelingToolkit. MTKParameters (simplified_sys, op)
152152#  If this somehow passes, mention it on
153153#  https://github.com/SciML/ModelingToolkit.jl/issues/2786
154- @test_broken  begin 
155-     matrices1 =  Sf (x, p, 0 )
156-     matrices2, _ =  Blocks. get_sensitivity (model, :y ; op) #  Test that we get the same result when calling the higher-level API
157-     @test  matrices1. f_x ≈  matrices2. A[1 : 7 , 1 : 7 ]
158-     nsys =  get_named_sensitivity (model, :y ; op) #  Test that we get the same result when calling an even higher-level API
159-     @test  matrices2. A ≈  nsys. A
160- end 
154+ matrices1 =  Sf (x, p, 0 )
155+ matrices2, _ =  Blocks. get_sensitivity (model, :y ; op) #  Test that we get the same result when calling the higher-level API
156+ @test_broken  matrices1. f_x ≈  matrices2. A[1 : 7 , 1 : 7 ]
157+ nsys =  get_named_sensitivity (model, :y ; op) #  Test that we get the same result when calling an even higher-level API
158+ @test  matrices2. A ≈  nsys. A
161159
162160#  Test the same thing for comp sensitivities
163161
@@ -166,10 +164,8 @@ x, _ = ModelingToolkit.get_u0_p(simplified_sys, op)
166164p =  ModelingToolkit. MTKParameters (simplified_sys, op)
167165#  If this somehow passes, mention it on
168166#  https://github.com/SciML/ModelingToolkit.jl/issues/2786
169- @test_broken  begin 
170-     matrices1 =  Sf (x, p, 0 )
171-     matrices2, _ =  Blocks. get_comp_sensitivity (model, :y ; op) #  Test that we get the same result when calling the higher-level API
172-     @test  matrices1. f_x ≈  matrices2. A[1 : 7 , 1 : 7 ]
173-     nsys =  get_named_comp_sensitivity (model, :y ; op) #  Test that we get the same result when calling an even higher-level API
174-     @test  matrices2. A ≈  nsys. A
175- end 
167+ matrices1 =  Sf (x, p, 0 )
168+ matrices2, _ =  Blocks. get_comp_sensitivity (model, :y ; op) #  Test that we get the same result when calling the higher-level API
169+ @test_broken  matrices1. f_x ≈  matrices2. A[1 : 7 , 1 : 7 ]
170+ nsys =  get_named_comp_sensitivity (model, :y ; op) #  Test that we get the same result when calling an even higher-level API
171+ @test  matrices2. A ≈  nsys. A
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