Migrating a project to Traits UI

Take the reference implementation from PyVerify and transform it into a data model using Traits. Since this model requires a list of parameter definitions as input, the model has to be extended by additional functionality. See below. The sweep manager model shall contain: A possibility to define multiple sweep sets. A sweep set is a combinations of list- and corner sweeps where each parameter is allowed to be only used once in a sweep set, e.g. ListSweep("A", [1,2,3]) + ListSweep("B", [4,5,6]) A possibility to define certain parameter combinations that will be skipped via filter (indices or eval filter on rows - see ref. impl) Extend the model by a possibility to define parameters (defined by name, unit and default value) this should support using pre-defined parameters from the internal sweep use case that cannot be changed anymore by a user (since the test defined those parameters, users shall not be able to modify those inside TEEHouse) for global sweep use case: no global parameters are existing and the user must define parameters for including them in global sweep definitions Interface for integration: the sweep manager shall have a function "get_sweep_table" that returns a list of dictionaries containing the iteration parameters. This will be mainly used for the global sweep use case the sweep manager shall have a function "get_sweep_definitions" that returns a JSON representation of the sweep model. This is used to inform specific test environments about the structure of the sweep. Create unit tests for all the functionality while developing the model for immediate feedback