Add honest Torch validation gate

tests/test_torch_candidate_guard.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+from tools.accept_torch_candidate import _decision
+
+
+def _report(*, validation_passed: bool = True, trades: int = 30, total: float = 10.0) -> dict:
+    return {
+        "recommended": {"score": 0.5},
+        "full_replay": {
+            "trades": trades,
+            "avg_net_percent": 0.4,
+            "total_net_percent": total,
+            "profit_factor": 2.0,
+            "max_drawdown_percent": 1.0,
+        },
+        "walk_forward": {"summary": {"trades": trades, "avg_net_percent": 0.3}},
+        "validation": {"passed": validation_passed, "status": "pass" if validation_passed else "fail"},
+    }
+
+
+def test_guard_rejects_candidate_without_honest_validation() -> None:
+    decision = _decision(
+        _report(),
+        _report(validation_passed=False),
+        min_trades=8,
+        min_profit_factor=1.05,
+        min_avg_net_percent=0.0,
+        max_score_regression=0.05,
+    )
+
+    assert decision == {"accepted": False, "reason": "candidate_failed_honest_validation"}
+
+
+def test_guard_accepts_candidate_that_passes_honest_validation() -> None:
+    decision = _decision(
+        _report(total=9.0),
+        _report(total=12.0),
+        min_trades=8,
+        min_profit_factor=1.05,
+        min_avg_net_percent=0.0,
+        max_score_regression=0.05,
+    )
+
+    assert decision == {"accepted": True, "reason": "candidate_passed_guard"}