revert more renames

Author: vyudu

src/linearization.jl

@@ -46,7 +46,7 @@ function linearization_function(sys::AbstractSystem, inputs,
         warn_empty_op = true,
         kwargs...)
     if !iscomplete(sys)
-        sys = mtkbuild(sys; inputs, outputs)
+        sys = structural_simplify(sys; inputs, outputs)
     end
     op = Dict(op)
     if isempty(op) && warn_empty_op

src/systems/analysis_points.jl

@@ -596,13 +596,9 @@ Add an input without an additional output variable.
 PerturbOutput(ap::AnalysisPoint) = PerturbOutput(ap, false)
 
 function apply_transformation(tf::PerturbOutput, sys::AbstractSystem)
-    @show "ok"
-    @show tf.ap
     modify_nested_subsystem(sys, tf.ap) do ap_sys
         # get analysis point
-        @show tf.ap
         ap_idx = analysis_point_index(ap_sys, tf.ap)
-        @show ap_idx
         ap_idx === nothing &&
             error("Analysis point $(nameof(tf.ap)) not found in system $(nameof(sys)).")
         # modified equations

src/systems/systems.jl

@@ -25,7 +25,7 @@ topological sort of the observed equations in `sys`.
 + `allow_symbolic=false`, `allow_parameter=true`, and `conservative=false` limit the coefficient types during tearing. In particular, `conservative=true` limits tearing to only solve for trivial linear systems where the coefficient has the absolute value of ``1``.
 + `fully_determined=true` controls whether or not an error will be thrown if the number of equations don't match the number of inputs, outputs, and equations.
 """
-function mtkbuild(
+function structural_simplify(
         sys::AbstractSystem; additional_passes = [], simplify = false, split = true,
         allow_symbolic = false, allow_parameter = true, conservative = false, fully_determined = true,
         inputs = Any[], outputs = Any[],

test/downstream/linearize.jl

@@ -114,7 +114,7 @@ Nd = 10
 @named pid = LimPID(; k, Ti, Td, Nd)
 
 @unpack reference, measurement, ctr_output = pid
-pid = mtkbuild(pid, inputs = [reference.u, measurement.u], outputs = [ctr_output.u])
+pid = structural_simplify(pid, inputs = [reference.u, measurement.u], outputs = [ctr_output.u])
 lsys0 = linearize(pid, [reference.u, measurement.u], [ctr_output.u];
     op = Dict(reference.u => 0.0, measurement.u => 0.0))
 @unpack int, der = pid
@@ -184,7 +184,7 @@ function saturation(; y_max, y_min = y_max > 0 ? -y_max : -Inf, name)
     ODESystem(eqs, t, name = name)
 end
 @named sat = saturation(; y_max = 1)
-sat = mtkbuild(sat, inputs = [u], outputs = [y])
+sat = structural_simplify(sat, inputs = [u], outputs = [y])
 # inside the linear region, the function is identity
 @unpack u, y = sat
 lsys = linearize(sat, [u], [y])