fix: ruff lint fixes for v3 test files

tests/test_pbt_v3_clustering.py

@@ -10,18 +10,13 @@ Validates: Requirements 4.2, 4.3, 4.4, 4.5, 21.4
 """
 from __future__ import annotations
 
-import math
-
 from hypothesis import given, settings
 from hypothesis import strategies as st
 
 from services.aggregation.worker import (
-    EvidenceCluster,
-    cluster_evidence,
     compute_cluster_llr,
     compute_n_eff,
 )
-from services.aggregation.scoring import EvidenceUnit
 
 # ---------------------------------------------------------------------------
 # Hypothesis strategies

tests/test_pbt_v3_decision.py

@@ -13,13 +13,9 @@ from hypothesis import given, settings
 from hypothesis import strategies as st
 
 from services.trading.position_sizer import (
-    KellySizingResult,
     compute_kelly_sizing,
-    compute_reward_ratio,
 )
 from services.trading.stop_loss_manager import (
-    TrailingStopResult,
-    V3StopLevels,
     compute_trailing_stop,
     compute_v3_stops,
 )

tests/test_pbt_v3_layers.py

@@ -13,7 +13,6 @@ from hypothesis import given, settings
 from hypothesis import strategies as st
 
 from services.aggregation.interpolation import (
-    compute_macro_llr,
     compute_normalized_macro_exposure,
 )
 from services.aggregation.signal_propagation import (

tests/test_pbt_v3_posterior.py

@@ -16,12 +16,12 @@ from hypothesis import strategies as st
 
 from services.aggregation.bayesian import V3Posterior, compute_v3_posterior
 from services.aggregation.regime import (
-    V3RegimeClassification,
     MarketRegime,
+    V3RegimeClassification,
     classify_regime_v3,
 )
-from services.aggregation.worker import EvidenceCluster
 from services.aggregation.scoring import EvidenceUnit
+from services.aggregation.worker import EvidenceCluster
 
 # ---------------------------------------------------------------------------
 # Hypothesis strategies
@@ -459,7 +459,8 @@ def test_property_10_suppression_by_weak_dimension(
 # Feature: math-core-v3-engine
 # ---------------------------------------------------------------------------
 
-from datetime import datetime, timezone as _tz
+from datetime import datetime
+from datetime import timezone as _tz
 
 # Strategies for Property 17
 extraction_failure_rates = st.floats(

tests/test_pbt_v3_projection.py

@@ -10,7 +10,7 @@ from __future__ import annotations
 from hypothesis import given, settings
 from hypothesis import strategies as st
 
-from services.aggregation.projection import V3ProjectionState, compute_v3_projection
+from services.aggregation.projection import compute_v3_projection
 from services.aggregation.regime import MarketRegime, V3RegimeClassification
 
 # ---------------------------------------------------------------------------

tests/test_pbt_v3_reliability.py

@@ -19,7 +19,6 @@ from hypothesis import strategies as st
 
 from services.aggregation.scoring import (
     EvidenceUnit,
-    ReliabilityComponents,
     SourceStats,
     _clamp,
     compute_llr,

tests/test_v3_eligibility.py

@@ -11,7 +11,7 @@ import math
 
 import pytest
 
-from services.aggregation.projection import V3ProjectionState, compute_v3_projection
+from services.aggregation.projection import compute_v3_projection
 from services.aggregation.regime import MarketRegime, V3RegimeClassification
 from services.recommendation.eligibility import (
     ReturnDistribution,
@@ -20,7 +20,6 @@ from services.recommendation.eligibility import (
     compute_v3_eligibility,
 )
 
-
 # ---------------------------------------------------------------------------
 # Helper: construct a V3RegimeClassification for tests
 # ---------------------------------------------------------------------------

tests/test_v3_evidence_unit.py

@@ -7,11 +7,8 @@ from __future__ import annotations
 import math
 from datetime import datetime, timezone
 
-import pytest
-
 from services.aggregation.scoring import (
     EvidenceUnit,
-    ReliabilityComponents,
     SourceStats,
     compute_llr,
     compute_v3_reliability,
@@ -20,7 +17,6 @@ from services.aggregation.scoring import (
     normalize_macro_signal,
 )
 
-
 # ---------------------------------------------------------------------------
 # Fixtures
 # ---------------------------------------------------------------------------

tests/test_v3_sizing.py

@@ -21,7 +21,6 @@ from services.trading.stop_loss_manager import (
     compute_v3_stops,
 )
 
-
 # ---------------------------------------------------------------------------
 # Kelly sizing: negative edge → size = 0 (Req 14.7)
 # ---------------------------------------------------------------------------