neuralib.persistence.cli_persistence.get_options_and_cache

neuralib.persistence.cli_persistence.get_options_and_cache(opt_cls, ref, error_when_missing=False, **kwargs)[source]

copy the arguments from PersistenceOpt (class that compute the cache) to Apply*Opt Can be used for analysis apply two different cached files

Example
>>> @persistence.persistence_class
>>> class SortIdxCache:
...     # for cache attributes declare
...     pass

>>> class SortIdxOptions(PersistenceOptions[SortIdxCache]):
...     # for cache computing
...     def empty_cache(self) -> SortIdxCache:
...         pass
...     def _compute_cache(self, cache: SortIdxCache) -> SortIdxCache:
...         pass

>>> class ApplySortIdxOptions:
...     # for cache applying, suppose to be the one layer before parent class for analysis class
...     def apply_sort_idx_cache(self) -> SortIdxCache:
...         return get_options_and_cache(SortIdxOptions, self)

>>> class CPBeltSortOptions(ApplyPosBinActOptions, ApplySortIdxOptions):
...     pass
Parameters:
Returns:

Return type:

T