torchcell.knowledge_graphs.kg_manifest.SupersetLineage

class SupersetLineage(*, biocypher_out: str, import_mode: Literal['full', 'incremental'], admitted_at: str, n_experiments: int | None, n_added: int)

Bases: BaseModel

The entry a served dataset grew from when it was re-admitted as a superset.

The store then holds records from two imports: every record of the previous entry (matched by id, untouched) plus n_added new ones from the increment.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].