Why does the zero-cost predictor not integrate with model search space module

In file `NASLib/tree/Develop/naslib/predictors/zerocost_v1.py`, it use the search space defined in `NASLib/tree/Develop/naslib/predictors/utils/models`. It basically defines some architectures of nasbench101 and nasbench201.

However, there is already a module called `search_space.` including many search spaces, and they are well-structured,
Why the `zerocost_v1` don't use the model defined in `search_space`?

Compare NASLib/tree/Develop/naslib/predictors/zerocost_v1.py and the models under NASLib/tree/Develop/naslib/predictors/utils/models with the existing search_space module. First determine whether zerocost_v1 should support the shared search-space interfaces, then define the expected integration scope and validation criteria.

Written by the indexing model from the issue text.