How to identify to which parameter is a value corresponding ?

[MilanAssuied]

Under the following circumstances:

• Use of programmatic API (no model from a file, but a model built from the PICT Api)
• Use of sub-models

It seems that PICT results will be organized in an alternate of parameter between the root model and the sub model.

For instance:

• Consider I have a main_model and a sub_model
• We are adding the following parameters in this order:
  • main_model: Param2, 2 values
  • main_model: Param3, 3 values
  • main_models: Param4, 4 values
  • sub_model: Param5, 5 values
  • sub_model: Param6, 6 values
  • sub_model: Param7, 7 values

PICT will return a uint table, which seems to be ordered in the following order:

Param2 Param5, Param3, Param6, Param4, Param7

So a valid result row would be:
1 4 2 5 3 6

Question:

When adding more sub-models, or if nesting one sub-model within one sub-model, and considering some parameters may have the same number of values, how can you identify what is what ?

Note: I did the test several times for two models, and its always an ordered alternation of main model parameter / sub-model parameter, which honestly is a very disturbing choice of ordering.

[MilanAssuied]

So I did a few experiment and noticed the following:

All sub-models share the same root model:

The results order depends on both the order used to attach the child models, and the order their parameters were added.
The results will be ordered like this:

First column is first parameter of the main model
Second column is first parameter of the LAST child model to be added
Third column is first parameter of the BEFORE LAST child model that was added
etc until first child model is reached

Repeat until no more parameters

If the models have different numbers of parameters, the same logic applies as long as one model have one remaining parameter

So for instance in the following case of having:

• main_model
• child_one
• child_two
• child_three

Attached in the above order, to which we add the following parameters:

• main_model:
  • Param2: 2 values
  • Param4: 4 values
• child_one:
  • Param3: 3 values
  • Param5: 5 values
• child_two:
  • Param6: 6 values
  • Param7: 7 values
  • Param10: 10 values
• child_three:
  • Param8: 8 values
  • Param9: 9 values

Then the results will be ordered in the following way:

main_model: Param2, child_three: Param8, child_two: Param6, child_one: Param3
main_model: Param4, child_three: Param9, child_two: Param7, child_one: Param5
child_two: Param10