File size: 3,197 Bytes
15d1f1d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 | #!/usr/bin/env python3
"""Frozen metric-v4.4 helpers for the DISK pilot.
This final pilot revision keeps v4.3 geometry/dimension behaviour and adds
explicit semantic validity plus interpretable T/D relative-error thresholds.
"""
from __future__ import annotations
import math
from typing import Any
import numpy as np
try:
from . import eval_geometric04 as DISK
from . import eval_geometric043 as BASE
except ImportError:
import eval_geometric04 as DISK
import eval_geometric043 as BASE
canonicalize_entities = BASE.canonicalize_entities
extract_entities = BASE.extract_entities
legacy_dimension_entities = BASE.legacy_dimension_entities
representation_quality = BASE.representation_quality
score_dimension_consistency = BASE.score_dimension_consistency
def score_disk_semantics(
predicted: dict[str, Any], target: dict[str, Any]
) -> dict[str, Any]:
result = DISK.score_disk_semantics(predicted, target)
if not result.get("applicable"):
result.update(
{
"relative_thickness_error": None,
"thickness_within_1pct": False,
"thickness_within_5pct": False,
"thickness_within_10pct": False,
}
)
return result
target_features = result.get("target_features") or {}
circle_diameter = target_features.get("circle_diameter")
diameter_sides = target_features.get("diameter_sides") or []
thickness_ratios = target_features.get("thickness_ratios") or []
diameter_consistent = bool(
circle_diameter
and len(diameter_sides) == 2
and all(
abs(float(value) / float(circle_diameter) - 1.0) <= 0.01
for value in diameter_sides
)
)
thickness_consistent = bool(
len(thickness_ratios) == 2
and min(thickness_ratios) > 0
and abs(float(thickness_ratios[0]) / float(thickness_ratios[1]) - 1.0)
<= 0.01
)
result["data_valid"] = bool(
result.get("data_valid") and diameter_consistent and thickness_consistent
)
predicted_ratio = result.get("predicted_thickness_ratio")
target_ratio = result.get("target_thickness_ratio")
relative_error = (
abs(float(predicted_ratio) / float(target_ratio) - 1.0)
if predicted_ratio is not None and target_ratio not in (None, 0)
else None
)
result.update(
{
"target_diameter_consistent": diameter_consistent,
"target_thickness_consistent": thickness_consistent,
"relative_thickness_error": (
round(float(relative_error), 8) if relative_error is not None else None
),
"thickness_within_1pct": bool(relative_error is not None and relative_error <= 0.01),
"thickness_within_5pct": bool(relative_error is not None and relative_error <= 0.05),
"thickness_within_10pct": bool(relative_error is not None and relative_error <= 0.10),
}
)
return result
__all__ = [
"canonicalize_entities",
"extract_entities",
"legacy_dimension_entities",
"representation_quality",
"score_dimension_consistency",
"score_disk_semantics",
]
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