| from dataclasses import dataclass | |
| from typing import Any, Callable, Protocol | |
| from .._types import DEComparison, MetricBestValue, MetricType, PerturbationAnndataPair | |
| class Metric(Protocol): | |
| """Protocol for metric functions.""" | |
| def __call__( | |
| self, | |
| data: PerturbationAnndataPair | DEComparison, | |
| **kwargs, | |
| ) -> float | dict[str, float]: ... | |
| class MetricResult: | |
| """Result of a metric computation.""" | |
| name: str | |
| value: float | str | |
| perturbation: str | None = None | |
| def to_dict(self) -> dict[str, float | str]: | |
| """Convert result to dictionary.""" | |
| return { | |
| "perturbation": self.perturbation, # type: ignore | |
| "metric": self.name, | |
| "value": self.value, | |
| } | |
| class MetricInfo: | |
| """Information about a registered metric.""" | |
| name: str | |
| type: MetricType | |
| func: Callable | |
| description: str | |
| best_value: MetricBestValue | |
| is_class: bool = False | |
| kwargs: dict[str, Any] | None = None | |
| def __post_init__(self): | |
| if self.kwargs is None: | |
| self.kwargs = {} | |