ss...................................................................... [ 36%] ........................................................................ [ 73%] ..................................................... [100%] =============================== warnings summary =============================== tests/test_acceptance_mlp.py:33 /Users/jameslopez/projects/TradingBot25/tests/test_acceptance_mlp.py:33: PytestUnknownMarkWarning: Unknown pytest.mark.slow - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.slow tests/test_mlp_signals.py::TestLinearDegeneracy::test_score_correlation_and_identical_trades /Users/jameslopez/projects/TradingBot25/tests/test_mlp_signals.py:119: UserWarning: Artifact /private/var/folders/c1/xpmf9vrn3r7bywm7cvsmhd980000gn/T/pytest-of-jameslopez/pytest-13/test_score_correlation_and_ide0/mlp_weights_DEGEN_6H.json was trained on 49 features; current FEATURE_COLS has 55 (new: ['bb_pct_b_norm', 'rvol_norm', 'active1y_norm', 'hr_norm']). New columns default to 0 — retrain for full performance. new = generate_signals(df_real.copy(), mlp_weights_file=artifact, **_scaled_thresholds()) tests/test_mlp_signals.py::TestLinearDegeneracy::test_trailing_stop_path_equivalence /Users/jameslopez/projects/TradingBot25/tests/test_mlp_signals.py:136: UserWarning: Artifact /private/var/folders/c1/xpmf9vrn3r7bywm7cvsmhd980000gn/T/pytest-of-jameslopez/pytest-13/test_trailing_stop_path_equiva0/mlp_weights_DEGEN_6H.json was trained on 49 features; current FEATURE_COLS has 55 (new: ['bb_pct_b_norm', 'rvol_norm', 'active1y_norm', 'hr_norm']). New columns default to 0 — retrain for full performance. new = generate_signals(df_real.copy(), mlp_weights_file=artifact, -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 195 passed, 2 skipped, 3 warnings in 2.74s