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https://github.com/freqtrade/freqtrade.git
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remove # Suppress optuna ExperimentalWarning from skopt
with warnings.catch_warnings():
from optuna.exceptions import ExperimentalWarning
warnings.filterwarnings("ignore", category=FutureWarning)
this should be when importing sampler
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@@ -10,8 +10,10 @@ from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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import optuna
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from joblib import dump, load
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from joblib.externals import cloudpickle
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from optuna.exceptions import ExperimentalWarning
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from pandas import DataFrame
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# from memory_profiler import profile
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@@ -29,18 +31,6 @@ from freqtrade.optimize.hyperopt.hyperopt_auto import HyperOptAuto
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from freqtrade.optimize.hyperopt_loss.hyperopt_loss_interface import IHyperOptLoss
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from freqtrade.optimize.hyperopt_tools import HyperoptStateContainer, HyperoptTools
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from freqtrade.optimize.optimize_reports import generate_strategy_stats
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from freqtrade.resolvers.hyperopt_resolver import HyperOptLossResolver
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from freqtrade.util.dry_run_wallet import get_dry_run_wallet
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# Suppress optuna ExperimentalWarning from skopt
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with warnings.catch_warnings():
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from optuna.exceptions import ExperimentalWarning
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warnings.filterwarnings("ignore", category=FutureWarning)
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# warnings.filterwarnings("ignore", category=ExperimentalWarning)
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import optuna
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from freqtrade.optimize.space import (
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DimensionProtocol,
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SKDecimal,
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@@ -48,6 +38,9 @@ with warnings.catch_warnings():
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ft_FloatDistribution,
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ft_IntDistribution,
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)
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from freqtrade.resolvers.hyperopt_resolver import HyperOptLossResolver
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from freqtrade.util.dry_run_wallet import get_dry_run_wallet
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logger = logging.getLogger(__name__)
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