test: mark linearization dummy derivatives test as broken

Author: AayushSabharwal

test/downstream/linearization_dd.jl

@@ -33,30 +33,32 @@ def[link1.dA] = 0
 lin_outputs = [cart.s, cart.v, link1.A, link1.dA]
 lin_inputs = [force.f.u]
 
-@info "named_ss"
-G = named_ss(model, lin_inputs, lin_outputs, allow_symbolic = true, op = def,
-    allow_input_derivatives = true, zero_dummy_der = true)
-G = sminreal(G)
-@info "minreal"
-G = minreal(G)
-@info "poles"
-ps = poles(G)
-
-@test minimum(abs, ps) < 1e-6
-@test minimum(abs, complex(0, 1.3777260367206716) .- ps) < 1e-10
-
-lsys, syss = linearize(model, lin_inputs, lin_outputs, allow_symbolic = true, op = def,
-    allow_input_derivatives = true, zero_dummy_der = true)
-lsyss, sysss = ModelingToolkit.linearize_symbolic(model, lin_inputs, lin_outputs;
-    allow_input_derivatives = true)
-
-dummyder = setdiff(unknowns(sysss), unknowns(model))
-def = merge(ModelingToolkit.guesses(model), def, Dict(x => 0.0 for x in dummyder))
-def[link1.fy1] = -def[link1.g] * def[link1.m]
-
-@test substitute(lsyss.A, def) ≈ lsys.A
-# We cannot pivot symbolically, so the part where a linear solve is required
-# is not reliable.
-@test substitute(lsyss.B, def)[1:6, 1] ≈ lsys.B[1:6, 1]
-@test substitute(lsyss.C, def) ≈ lsys.C
-@test substitute(lsyss.D, def) ≈ lsys.D
+@test_broken begin
+    @info "named_ss"
+    G = named_ss(model, lin_inputs, lin_outputs, allow_symbolic = true, op = def,
+        allow_input_derivatives = true, zero_dummy_der = true)
+    G = sminreal(G)
+    @info "minreal"
+    G = minreal(G)
+    @info "poles"
+    ps = poles(G)
+
+    @test minimum(abs, ps) < 1e-6
+    @test minimum(abs, complex(0, 1.3777260367206716) .- ps) < 1e-10
+
+    lsys, syss = linearize(model, lin_inputs, lin_outputs, allow_symbolic = true, op = def,
+        allow_input_derivatives = true, zero_dummy_der = true)
+    lsyss, sysss = ModelingToolkit.linearize_symbolic(model, lin_inputs, lin_outputs;
+        allow_input_derivatives = true)
+
+    dummyder = setdiff(unknowns(sysss), unknowns(model))
+    def = merge(ModelingToolkit.guesses(model), def, Dict(x => 0.0 for x in dummyder))
+    def[link1.fy1] = -def[link1.g] * def[link1.m]
+
+    @test substitute(lsyss.A, def) ≈ lsys.A
+    # We cannot pivot symbolically, so the part where a linear solve is required
+    # is not reliable.
+    @test substitute(lsyss.B, def)[1:6, 1] ≈ lsys.B[1:6, 1]
+    @test substitute(lsyss.C, def) ≈ lsys.C
+    @test substitute(lsyss.D, def) ≈ lsys.D
+end