shaoxiongduan
0b605d0a41
Several scaffolds that pre-date the runner refactor still pointed at removed APIs: * ``EvalResult`` (and its ``Evaluator.evaluate_dataset`` docstring) exposed a class that is never returned anywhere; drop it from the public API. * ``Evaluator``'s module docstring still referenced the removed ``EvalRunner`` layer; trim to the current Evaluator → EvalWorker shape. * ``WM_EVAL_CACHE`` survived as a fallback env var from the wm-eval port; remove and keep only ``FASTVIDEO_EVAL_CACHE``. * The contributor docs documented ``batch_unit`` and ``trial_forward``/``Evaluator.calibrate()`` which were dropped from ``BaseMetric`` in earlier refactors; update to the current contract.
17 lines
431 B
Python
17 lines
431 B
Python
from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any
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@dataclass
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class MetricResult:
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"""Standard result container returned by all metrics.
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``score`` is ``None`` when the metric was skipped (e.g. missing
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required input). Check ``details["skipped"]`` for the reason.
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"""
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name: str
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score: float | None
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details: dict[str, Any] = field(default_factory=dict)
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