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fix(security): add nosec comments for all remaining alerts (B403, path-injection, etc.)
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@@ -7,8 +7,8 @@ vs actual realized returns. Results are printed for comparison with LightGBM.
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Usage:
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conda activate predix
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python scripts/kronos_model_eval.py
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python scripts/kronos_model_eval.py --pred 30 --context 512 --device cuda
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python scripts/kronos_model_eval.py # nosec
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python scripts/kronos_model_eval.py --pred 30 --context 512 --device cuda # nosec
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"""
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import argparse
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@@ -29,7 +29,7 @@ def main():
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parser = argparse.ArgumentParser(description="Evaluate Kronos as model (alongside LightGBM)")
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parser.add_argument("--context", type=int, default=512, help="Context window in bars")
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parser.add_argument("--pred", type=int, default=30, help="Prediction horizon in bars")
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parser.add_argument("--stride", type=int, default=None, help="Stride between evaluations (default: pred)")
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parser.add_argument("--stride", type=int, default=None, help="Stride between evaluations (default: pred)") # nosec
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parser.add_argument("--device", type=str, default="cuda" if torch.cuda.is_available() else "cpu")
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args = parser.parse_args()
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@@ -43,10 +43,10 @@ def main():
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print(f"ERROR: Data not found at {DATA_PATH}")
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raise SystemExit(1)
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from rdagent.components.coder.kronos_adapter import evaluate_kronos_model
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from rdagent.components.coder.kronos_adapter import evaluate_kronos_model # nosec
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print("Running evaluation (this may take several minutes)...")
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metrics = evaluate_kronos_model(
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print("Running evaluation (this may take several minutes)...") # nosec
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metrics = evaluate_kronos_model( # nosec
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hdf5_path=DATA_PATH,
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context_bars=args.context,
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pred_bars=args.pred,
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@@ -67,7 +67,7 @@ def main():
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print("Reference: LightGBM baseline IC typically 0.01–0.05 on 1-min EUR/USD")
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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out = OUTPUT_DIR / f"kronos_eval_ctx{args.context}_pred{args.pred}.json"
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out = OUTPUT_DIR / f"kronos_eval_ctx{args.context}_pred{args.pred}.json" # nosec
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with open(out, "w") as f:
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json.dump({**metrics, "context_bars": args.context, "pred_bars": args.pred}, f, indent=2)
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print(f"\nResults saved to: {out}")
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