Simplify "model-run" conditions
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b1a5776f14
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@ -32,6 +32,17 @@ def is_mac() -> bool:
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return "Darwin" in machine
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return "Darwin" in machine
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def can_run_model(model: str) -> None:
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if (is_arm() or is_py11()) and "Catboost" in model:
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pytest.skip("CatBoost is not supported on ARM")
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if is_mac() and not is_arm() and 'Reinforcement' in model:
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pytest.skip("Reinforcement learning module not available on intel based Mac OS")
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if is_py11() and 'Reinforcement' in model:
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pytest.skip("Reinforcement learning currently not available on python 3.11.")
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@pytest.mark.parametrize('model, pca, dbscan, float32, can_short, shuffle, buffer', [
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@pytest.mark.parametrize('model, pca, dbscan, float32, can_short, shuffle, buffer', [
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('LightGBMRegressor', True, False, True, True, False, 0),
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('LightGBMRegressor', True, False, True, True, False, 0),
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('XGBoostRegressor', False, True, False, True, False, 10),
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('XGBoostRegressor', False, True, False, True, False, 10),
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@ -46,13 +57,7 @@ def is_mac() -> bool:
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def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
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def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
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dbscan, float32, can_short, shuffle, buffer):
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dbscan, float32, can_short, shuffle, buffer):
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if (is_arm() or is_py11()) and model == 'CatboostRegressor':
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can_run_model(model)
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pytest.skip("CatBoost is not supported on ARM")
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if is_mac() and not is_arm() and 'Reinforcement' in model:
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pytest.skip("Reinforcement learning module not available on intel based Mac OS")
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if is_py11() and 'Reinforcement' in model:
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pytest.skip("Reinforcement learning currently not available on python 3.11.")
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model_save_ext = 'joblib'
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model_save_ext = 'joblib'
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freqai_conf.update({"freqaimodel": model})
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freqai_conf.update({"freqaimodel": model})
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freqai_conf.update({"timerange": "20180110-20180130"})
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freqai_conf.update({"timerange": "20180110-20180130"})
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@ -212,15 +217,11 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
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],
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],
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)
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)
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def test_start_backtesting(mocker, freqai_conf, model, num_files, strat, caplog):
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def test_start_backtesting(mocker, freqai_conf, model, num_files, strat, caplog):
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can_run_model(model)
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freqai_conf.get("freqai", {}).update({"save_backtest_models": True})
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freqai_conf.get("freqai", {}).update({"save_backtest_models": True})
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freqai_conf['runmode'] = RunMode.BACKTEST
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freqai_conf['runmode'] = RunMode.BACKTEST
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if (is_arm() or is_py11()) and "Catboost" in model:
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pytest.skip("CatBoost is not supported on ARM")
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if is_mac() and 'Reinforcement' in model:
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pytest.skip("Reinforcement learning module not available on intel based Mac OS")
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if is_py11() and 'Reinforcement' in model:
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pytest.skip("Reinforcement learning currently not available on python 3.11.")
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Trade.use_db = False
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Trade.use_db = False
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freqai_conf.update({"freqaimodel": model})
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freqai_conf.update({"freqaimodel": model})
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