Resource estimation results table

[msoeken]

The main feature from this PR is a resource estimation result table that is returned from the estimate call. It can be configured to have additional columns which are considered in the creation of a pandas DataFrame.

Besides that, the PR

• refactors how instructions are build: they are now all build inside the provenance graph that is part of the architecture context
• enhances enumeration capabilities: one can now enumerate over nested attributes and union attributes, and also restrict domains, further one can restrict the domain of the application inside the trace query
• adds post processing to applications: applications can post-process estimation results before they are inserted in the estimation table. This post processing step comes currently at a cost in runtime, because estimation is parallelized in Python and not in Rust