from __future__ import annotations import sys from pathlib import Path SCRIPTS = Path(__file__).resolve().parents[1] / "scripts" if str(SCRIPTS) not in sys.path: sys.path.insert(0, str(SCRIPTS)) from merge_e1_trained_features import _nonfinite_diagnostics from run_e1_trained_features import _aggregate def test_aggregate_ignores_nonfinite_and_records_counts() -> None: rows = [ {"gate": "identity", "value": 2.0}, {"gate": "identity", "value": float("nan")}, {"gate": "identity", "value": float("inf")}, {"gate": "identity", "value": None}, ] result = _aggregate(rows, ("gate",), ("value",))[0] assert result["value_mean"] == 2.0 assert result["value_std"] == 0.0 assert result["value_finite_count"] == 1 assert result["value_nonfinite_count"] == 2 assert result["value_missing_count"] == 1 def test_aggregate_all_nonfinite_returns_null_not_zero() -> None: rows = [ {"layer": "stage3", "value": float("nan")}, {"layer": "stage3", "value": -float("inf")}, ] result = _aggregate(rows, ("layer",), ("value",))[0] assert result["value_mean"] is None assert result["value_std"] is None assert result["value_finite_count"] == 0 assert result["value_nonfinite_count"] == 2 def test_nonfinite_diagnostic_serializes_values_as_strings() -> None: cells, summary = _nonfinite_diagnostics( { "feature_metrics": [ { "gate": "identity", "seed": 2, "cutoff": 0.25, "layer": "stage3", "centroid": float("nan"), "energy": float("inf"), "finite": 1.0, } ] } ) assert {cell["nonfinite_value"] for cell in cells} == {"nan", "inf"} assert all(not isinstance(cell["nonfinite_value"], float) for cell in cells) assert len(summary) == 1 assert summary[0]["nonfinite_field_count"] == 2 assert summary[0]["nonfinite_metrics"] == "centroid;energy"