torchcell.datamodels.schema.Phenotype

class Phenotype(*, provenance_gaps: list[~torchcell.verification.sourced.ProvenanceGap] = <factory>, graph_level: str, label_name: str, label_statistic_name: str | None = None)

Bases: ProvenanceGapMixin

Base phenotype describing an observed label and its graph level.

Inherits provenance_gaps (+ its two honesty validators) from ProvenanceGapMixin – a phenotype field the source does not carry (n_samples, an uncertainty) is a typed absence, shared with Environment.

validate_fields() → Phenotype

Validate that graph_level is one of the supported graph levels.

validate_label_fields() → Phenotype

label_name / label_statistic_name must name fields on the concrete class.

Inherited by every Phenotype subclass (replaces the formerly identical per-subclass copies). type(self).__annotations__ is the concrete subclass’s own field set, so each subclass is checked against its own declared fields.

model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'frozen': True}

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