auto-sync 2026-07-04T07:48:09Z workspace (part 5)

workspace/tests/test_dominance_selector.py

@@ -13,6 +13,7 @@ from scripts.eval_dominance_selector import (
     _pairwise_calibration_summary as _score_pairwise_calibration_summary,
 )
 from scripts.eval_learned_dominance_selector import (
+    _bundle_consensus_matrix,
     _chart_compat_feature,
     _candidate_feature,
     _choose_thresholds,
@@ -502,6 +503,45 @@ def test_score_shape_feature_set_and_markdown_suppression(tmp_path) -> None:
     assert report_path.exists()
 
 
+def test_bundle_consensus_features_are_deployment_visible_and_fixed_width() -> None:
+    tangents = [
+        np.zeros(21, dtype=float),
+        np.full(21, 0.10, dtype=float),
+        np.full(21, 1.00, dtype=float),
+    ]
+    scores = [3.0, 2.0, -1.0]
+    bundle = _bundle_consensus_matrix(
+        tangents,
+        scores,
+        ["source_a", "source_b", "source_a"],
+        ["pick", "pick", "stack"],
+    )
+    feature = _candidate_feature(
+        score=3.0,
+        base_score=0.25,
+        score_mean=1.0,
+        score_std=2.0,
+        candidate_index=0,
+        candidate_type="ctt_transport_rank0",
+        tangent=tangents[0],
+        num_candidates=3,
+        feature_set="score_chart_bundle_consensus",
+        chart_compat=np.ones(22, dtype=float),
+        score_shape=_score_shape_matrix(scores)[0],
+        bundle_consensus=bundle[0],
+    )
+
+    assert bundle.shape == (3, 19)
+    assert bundle[0, 1] == 1.0
+    assert bundle[0, 2] == 1.0
+    assert bundle[0, 3] == pytest.approx(0.5)
+    assert bundle[0, 13] == 2.0
+    assert bundle[0, 15] == 1.0
+    assert np.all(np.isfinite(bundle))
+    assert len(feature) == len(_feature_names("score_chart_bundle_consensus"))
+    assert len(feature) == 10 + 8 + 22 + 19
+
+
 def test_chart_compat_feature_is_deployment_visible_and_fixed_width() -> None:
     base = np.arange(14, dtype=float).reshape(2, 7) / 10.0
     context = np.linspace(-0.5, 0.5, 18)