Evaluate = true should be applied to entire parameter records

[Francesco Casella]

Please consider the following test case

package TestEvaluateParameterRecord
  record R1
    parameter Integer N = 3;
    parameter Real p = 2 annotation(Evaluate = true);
    parameter Real q[N,N] = [0, 0, 1; 0, 1, 0; 1, 0, 0] annotation(Evaluate = true);
  end R1;

  record R2
    parameter Integer N = 3;
    parameter Real p = 2;
    parameter Real q[N,N] = [0, 0, 1; 0, 1, 0; 1, 0, 0];
  end R2;

  model M
    replaceable parameter R1 data1;
    replaceable parameter R2 data2 annotation(Evaluate = true);
    Real x1[data1.N];
    Real x2[data2.N];
    Real z1;
    Real z2;
  equation
    x1 = data1.q*{1, 2, 3};
    x2 = data2.q*{1, 2, 3};
    z1 = data1.p*time;
    z2 = data2.p*time;
  end M;
end TestEvaluateParameterRecord;

When I flatten model M with the NF I get

equation
  x1[1] = 3.0;
  x1[2] = 2.0;
  x1[3] = 1.0;
  x2[1] = data2.q[1,1] + data2.q[1,2] * 2.0 + data2.q[1,3] * 3.0;
  x2[2] = data2.q[2,1] + data2.q[2,2] * 2.0 + data2.q[2,3] * 3.0;
  x2[3] = data2.q[3,1] + data2.q[3,2] * 2.0 + data2.q[3,3] * 3.0;
  z1 = 2.0 * time;
  z2 = data2.p * time;

In the case of R1, the parameters p and q are indeed evaluated, and the corresponding simple formulations are obtained for the equations, where all the zero terms have been removed.

However, setting the annotation explicitly on each component of the record is a bit inconvenient. One would like to set the annotation once and for all for the entire record. According to Section 18.3 of the specification, I understand the effect should be the same. Unfortunately the NF basically ignores the annotation and does not evaluate the parameters in the record.

This feature is needed to run Modelica models written with matrix formulations, where the matrix parameters are mostly filled in with zeros. In this case, it is absolutely necessary to evaluate the matrix-vector products, as shown in the above example, otherwise the generate code may contain a ludicrous number of useless terms, that should be removed up front since 0*x = 0 no matter what the value of x is.

@perost, could you please fix that ASAP as you return from you vacation? Thanks!