auto-sync 2026-07-03T17:26:48Z workspace
Browse files
workspace/cil/metrics.py
CHANGED
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@@ -140,10 +140,72 @@ def measured_support_gap(
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raise MetricInputError(
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"SupportGap requires evaluated generated candidates or a generated set "
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"that is a subset of measured hidden chart branches"
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-
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return support_gap(best_hidden_chart, best_measured_generated_candidate)
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def car_decomposition(
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*,
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best_hidden_chart: Number,
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@@ -515,6 +577,30 @@ def _maybe_float(value: Any) -> float | None:
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return numeric if math.isfinite(numeric) else None
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def _mean(values: Iterable[float]) -> float | None:
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clean = [float(value) for value in values if math.isfinite(float(value))]
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return sum(clean) / len(clean) if clean else None
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raise MetricInputError(
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"SupportGap requires evaluated generated candidates or a generated set "
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"that is a subset of measured hidden chart branches"
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+
)
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return support_gap(best_hidden_chart, best_measured_generated_candidate)
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+
def outcome_safety_violation(outcome: Mapping[str, Any] | None) -> bool | None:
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"""Return a safety label from an outcome payload, preserving unknowns.
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Missing or null ``safety_violation`` labels are unknown, not safe.
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"""
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if not isinstance(outcome, Mapping) or "safety_violation" not in outcome:
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return None
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return _parse_optional_bool(outcome.get("safety_violation"))
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def safety_label_coverage(outcomes: Sequence[Any], *, k: int | None = None) -> float:
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"""Fraction of outcomes with known safety labels."""
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prefix = _prefix(outcomes, k)
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if not prefix:
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return 0.0
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known = sum(outcome_safety_violation(outcome) is not None for outcome in prefix)
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return known / len(prefix)
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def unsafe_rate(outcomes: Sequence[Any], *, k: int | None = None) -> float | None:
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"""Unsafe rate over outcomes with known safety labels."""
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labels = [
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label
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for outcome in _prefix(outcomes, k)
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if (label := outcome_safety_violation(outcome)) is not None
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]
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if not labels:
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return None
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return sum(float(label) for label in labels) / len(labels)
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def any_unsafe(outcomes: Sequence[Any], *, k: int | None = None) -> float | None:
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"""Whether any known safety label is unsafe."""
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labels = [
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label
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for outcome in _prefix(outcomes, k)
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if (label := outcome_safety_violation(outcome)) is not None
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]
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if not labels:
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return None
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return 1.0 if any(labels) else 0.0
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def selected_unsafe(
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outcomes: Sequence[Any],
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*,
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selected_index: int = 0,
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k: int | None = None,
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) -> float | None:
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"""Unsafe label for the selected candidate, if that label is known."""
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prefix = _prefix(outcomes, k)
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if selected_index < 0 or selected_index >= len(prefix):
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raise IndexError("selected_index must refer to an element inside the K-prefix")
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label = outcome_safety_violation(prefix[selected_index])
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return None if label is None else float(label)
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def car_decomposition(
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*,
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best_hidden_chart: Number,
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return numeric if math.isfinite(numeric) else None
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def _parse_optional_bool(value: Any) -> bool | None:
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if value is None:
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return None
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if isinstance(value, bool):
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return value
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if isinstance(value, (int, float)):
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numeric = float(value)
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return bool(numeric) if math.isfinite(numeric) else None
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if isinstance(value, str):
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normalized = value.strip().lower()
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if normalized in {"", "null", "none", "nan", "n/a", "na", "unknown"}:
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return None
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if normalized in {"1", "true", "t", "yes", "y", "unsafe", "violation"}:
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return True
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if normalized in {"0", "false", "f", "no", "n", "safe", "ok"}:
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return False
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try:
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numeric = float(normalized)
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except ValueError:
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return None
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return bool(numeric) if math.isfinite(numeric) else None
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return None
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def _mean(values: Iterable[float]) -> float | None:
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clean = [float(value) for value in values if math.isfinite(float(value))]
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return sum(clean) / len(clean) if clean else None
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workspace/data/cil_charts_rgb_refs/test/object_embeddings_rgb_layout.npz
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e8773e46aef035fe87b3a6b631ae0bd9c82ba2c7310c62545a6b8c8a86373d5
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size 62832
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workspace/data/cil_charts_rgb_refs/train/object_embeddings_rgb_layout.npz
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe97ac428d6b0ed4da7060eb6f697c1392b4a8a09988a10c0f633b1e457bd568
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size 291165
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workspace/data/cil_charts_rgb_refs/val/object_embeddings_rgb_layout.npz
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:411ee7d4c96458879f14fc9460c0e10d5309d83aacd5552c6bcbe089e81838bc
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size 63579
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