fix: resolve linting and formatting issues for CI

- Use contextlib.suppress instead of try/except/pass (SIM105)
- Prefix unused fixture arguments with underscore (ARG002)
- Replace asyncio.TimeoutError with TimeoutError (UP041)
- Apply ruff formatting to all files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

tests/detector/test_scorer.py

@@ -76,9 +76,7 @@ def sample_metadata() -> MarketMetadata:
         condition_id="market_abc123",
         question="Will it rain tomorrow?",
         description="Weather prediction market",
-        tokens=(
-            Token(token_id="token_123", outcome="Yes", price=Decimal("0.65")),
-        ),
+        tokens=(Token(token_id="token_123", outcome="Yes", price=Decimal("0.65")),),
         category="science",
     )
 
@@ -310,9 +308,7 @@ class TestRiskScorerInit:
 class TestWeightedScoreCalculation:
     """Tests for weighted score calculation."""
 
-    def test_no_signals_zero_score(
-        self, mock_redis: AsyncMock, sample_trade: TradeEvent
-    ) -> None:
+    def test_no_signals_zero_score(self, mock_redis: AsyncMock, sample_trade: TradeEvent) -> None:
         """Test score is zero when no signals present."""
         scorer = RiskScorer(mock_redis)
         bundle = SignalBundle(trade_event=sample_trade)
@@ -358,10 +354,7 @@ class TestWeightedScoreCalculation:
         score, count = scorer.calculate_weighted_score(bundle)
 
         # 0.7 confidence * 0.35 weight + 0.7 * 0.25 niche weight = 0.42
-        expected = (
-            0.7 * DEFAULT_WEIGHTS["size_anomaly"]
-            + 0.7 * DEFAULT_WEIGHTS["niche_market"]
-        )
+        expected = 0.7 * DEFAULT_WEIGHTS["size_anomaly"] + 0.7 * DEFAULT_WEIGHTS["niche_market"]
         assert score == pytest.approx(expected)
         assert count == 1
 
@@ -559,9 +552,7 @@ class TestDeduplication:
     """Tests for deduplication functionality."""
 
     @pytest.mark.asyncio
-    async def test_check_and_set_dedup_new_key(
-        self, mock_redis: AsyncMock
-    ) -> None:
+    async def test_check_and_set_dedup_new_key(self, mock_redis: AsyncMock) -> None:
         """Test dedup returns False for new key."""
         mock_redis.set.return_value = True
 
@@ -572,9 +563,7 @@ class TestDeduplication:
         mock_redis.set.assert_called_once()
 
     @pytest.mark.asyncio
-    async def test_check_and_set_dedup_existing_key(
-        self, mock_redis: AsyncMock
-    ) -> None:
+    async def test_check_and_set_dedup_existing_key(self, mock_redis: AsyncMock) -> None:
         """Test dedup returns True for existing key."""
         mock_redis.set.return_value = False  # Key exists, NX failed
 
@@ -632,9 +621,7 @@ class TestBatchAnalysis:
                 confidence=0.8,
                 factors={},
             )
-            bundles.append(
-                SignalBundle(trade_event=trade, fresh_wallet_signal=signal)
-            )
+            bundles.append(SignalBundle(trade_event=trade, fresh_wallet_signal=signal))
 
         assessments = await scorer.assess_batch(bundles)
 

tests/detector/test_size_anomaly.py

@@ -290,9 +290,7 @@ class TestVolumeImpactCalculation:
         detector = SizeAnomalyDetector(mock_metadata_sync)
 
         # Trade size $1000, daily volume $50000 = 2% impact
-        impact = detector._calculate_volume_impact(
-            Decimal("1000"), Decimal("50000")
-        )
+        impact = detector._calculate_volume_impact(Decimal("1000"), Decimal("50000"))
         assert impact == pytest.approx(0.02)
 
     def test_volume_impact_none_volume(self, mock_metadata_sync: AsyncMock) -> None:
@@ -309,9 +307,7 @@ class TestVolumeImpactCalculation:
         impact = detector._calculate_volume_impact(Decimal("1000"), Decimal("0"))
         assert impact == 0.0
 
-    def test_volume_impact_negative_volume(
-        self, mock_metadata_sync: AsyncMock
-    ) -> None:
+    def test_volume_impact_negative_volume(self, mock_metadata_sync: AsyncMock) -> None:
         """Test volume impact returns 0 when volume is negative."""
         detector = SizeAnomalyDetector(mock_metadata_sync)
 
@@ -422,9 +418,7 @@ class TestNicheMarketDetection:
 class TestConfidenceScoring:
     """Tests for confidence score calculation."""
 
-    def test_confidence_volume_impact_only(
-        self, mock_metadata_sync: AsyncMock
-    ) -> None:
+    def test_confidence_volume_impact_only(self, mock_metadata_sync: AsyncMock) -> None:
         """Test confidence with only volume impact."""
         detector = SizeAnomalyDetector(mock_metadata_sync)
 
@@ -819,9 +813,7 @@ class TestBatchAnalysis:
         assert len(signals) == 2
 
     @pytest.mark.asyncio
-    async def test_analyze_batch_empty_list(
-        self, mock_metadata_sync: AsyncMock
-    ) -> None:
+    async def test_analyze_batch_empty_list(self, mock_metadata_sync: AsyncMock) -> None:
         """Test batch analysis with empty list."""
         detector = SizeAnomalyDetector(mock_metadata_sync)
         signals = await detector.analyze_batch([])