| 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" |
|
|
