epic(trim): clean up trim code

[AlessandroPomponio]

To Do

1. Folder Structure

• Choose and use a specific folder structure for the TRIM plugin

2. File-Specific Refactoring

plugins/operators/trim/trim/utils/one_dimensional_sampling.py

• Implement the core logic of the van der Corput inspired sampling with the grey codes

plugins/operators/trim/trim/utils/space_df_connector.py

• Refactor using better practices (many functions require a lot of locs while doing 'simple things')

3. Pydantic Pattern

• Use Annotated pattern for pydantic in plugins/operators/trim/trim/no_priors_pydantic.py
• Fix mutable defaults in the same file

4. Operator-Level Issues

• Address TODO comment in operator code:

  # TODO: think about a better solution for the fact that the target output may
  # not be acquired for every entity of your space given your experiment.
  # e.g. you want throughput and throughput is only measured for valid runs
  # and some of the runs are not valid
  

5. Build

• Update pyproject.toml to work correctly with versioning
• Add meaningful README content