mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 10:21:59 +00:00
Disable defaulting to DefaultHyperOpts and DefaultHyperOptLoss
This commit is contained in:
parent
95299d94c4
commit
c4105436eb
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@ -32,7 +32,7 @@ jobs:
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name: backtest
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- script:
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- cp config.json.example config.json
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- freqtrade hyperopt --datadir tests/testdata -e 5 --strategy DefaultStrategy
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- freqtrade hyperopt --datadir tests/testdata -e 5 --strategy DefaultStrategy --customhyperopt DefaultHyperOpts --hyperopt-loss DefaultHyperOptLoss
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name: hyperopt
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- script: flake8
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name: flake8
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@ -285,8 +285,8 @@ optional arguments:
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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--customhyperopt NAME
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Specify hyperopt class name (default:
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`DefaultHyperOpts`).
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Specify hyperopt class name which will be used by the
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bot.
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--hyperopt-path PATH Specify additional lookup path for Hyperopts and
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Hyperopt Loss functions.
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--eps, --enable-position-stacking
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@ -322,8 +322,8 @@ optional arguments:
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generate completely different results, since the
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target for optimization is different. Built-in
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Hyperopt-loss-functions are: DefaultHyperOptLoss,
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OnlyProfitHyperOptLoss, SharpeHyperOptLoss.(default:
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`DefaultHyperOptLoss`).
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OnlyProfitHyperOptLoss, SharpeHyperOptLoss.
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Common arguments:
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-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
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@ -153,9 +153,8 @@ AVAILABLE_CLI_OPTIONS = {
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# Hyperopt
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"hyperopt": Arg(
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'--customhyperopt',
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help='Specify hyperopt class name (default: `%(default)s`).',
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help='Specify hyperopt class name which will be used by the bot.',
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metavar='NAME',
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default=constants.DEFAULT_HYPEROPT,
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),
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"hyperopt_path": Arg(
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'--hyperopt-path',
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@ -232,10 +231,8 @@ AVAILABLE_CLI_OPTIONS = {
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help='Specify the class name of the hyperopt loss function class (IHyperOptLoss). '
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'Different functions can generate completely different results, '
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'since the target for optimization is different. Built-in Hyperopt-loss-functions are: '
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'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss.'
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'(default: `%(default)s`).',
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'DefaultHyperOptLoss, OnlyProfitHyperOptLoss, SharpeHyperOptLoss.',
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metavar='NAME',
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default=constants.DEFAULT_HYPEROPT_LOSS,
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),
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# List exchanges
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"print_one_column": Arg(
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@ -9,8 +9,6 @@ PROCESS_THROTTLE_SECS = 5 # sec
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DEFAULT_TICKER_INTERVAL = 5 # min
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HYPEROPT_EPOCH = 100 # epochs
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RETRY_TIMEOUT = 30 # sec
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DEFAULT_HYPEROPT = 'DefaultHyperOpts'
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DEFAULT_HYPEROPT_LOSS = 'DefaultHyperOptLoss'
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DEFAULT_DB_PROD_URL = 'sqlite:///tradesv3.sqlite'
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DEFAULT_DB_DRYRUN_URL = 'sqlite://'
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UNLIMITED_STAKE_AMOUNT = 'unlimited'
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@ -8,7 +8,6 @@ from pathlib import Path
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from typing import Optional, Dict
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from freqtrade import OperationalException
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from freqtrade.constants import DEFAULT_HYPEROPT, DEFAULT_HYPEROPT_LOSS
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from freqtrade.optimize.hyperopt_interface import IHyperOpt
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from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss
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from freqtrade.resolvers import IResolver
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@ -20,17 +19,21 @@ class HyperOptResolver(IResolver):
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"""
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This class contains all the logic to load custom hyperopt class
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"""
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__slots__ = ['hyperopt']
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def __init__(self, config: Dict) -> None:
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def __init__(self, config: Dict = None) -> None:
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"""
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Load the custom class from config parameter
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:param config: configuration dictionary
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"""
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config = config or {}
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if not config.get('hyperopt'):
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raise OperationalException("No Hyperopt set. Please use `--customhyperopt` to specify "
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"the Hyperopt class to use.")
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hyperopt_name = config['hyperopt']
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# Verify the hyperopt is in the configuration, otherwise fallback to the default hyperopt
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hyperopt_name = config.get('hyperopt') or DEFAULT_HYPEROPT
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self.hyperopt = self._load_hyperopt(hyperopt_name, config,
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extra_dir=config.get('hyperopt_path'))
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@ -75,7 +78,6 @@ class HyperOptLossResolver(IResolver):
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"""
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This class contains all the logic to load custom hyperopt loss class
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"""
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__slots__ = ['hyperoptloss']
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def __init__(self, config: Dict = None) -> None:
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@ -85,17 +87,22 @@ class HyperOptLossResolver(IResolver):
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"""
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config = config or {}
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# Verify the hyperopt is in the configuration, otherwise fallback to the default hyperopt
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hyperopt_name = config.get('hyperopt_loss') or DEFAULT_HYPEROPT_LOSS
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if not config.get('hyperopt_loss'):
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raise OperationalException("No Hyperopt Loss Function set. Please use "
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"`--hyperopt-loss` to specify "
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"the Hyperopt Loss Function class to use.")
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hyperoptloss_name = config['hyperopt_loss']
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self.hyperoptloss = self._load_hyperoptloss(
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hyperopt_name, config, extra_dir=config.get('hyperopt_path'))
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hyperoptloss_name, config, extra_dir=config.get('hyperopt_path'))
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# Assign ticker_interval to be used in hyperopt
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self.hyperoptloss.__class__.ticker_interval = str(config['ticker_interval'])
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if not hasattr(self.hyperoptloss, 'hyperopt_loss_function'):
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raise OperationalException(
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f"Found hyperopt {hyperopt_name} does not implement `hyperopt_loss_function`.")
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f"Found hyperopt {hyperoptloss_name} does not implement `hyperopt_loss_function`.")
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def _load_hyperoptloss(
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self, hyper_loss_name: str, config: Dict,
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@ -25,7 +25,11 @@ from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
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@pytest.fixture(scope='function')
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def hyperopt(default_conf, mocker):
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default_conf.update({'spaces': ['all']})
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default_conf.update({
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'spaces': ['all'],
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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})
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patch_exchange(mocker)
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return Hyperopt(default_conf)
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@ -70,6 +74,8 @@ def test_setup_hyperopt_configuration_without_arguments(mocker, default_conf, ca
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args = [
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'hyperopt',
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'--config', 'config.json',
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'--customhyperopt', 'DefaultHyperOpts',
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'--hyperopt-loss', 'DefaultHyperOptLoss',
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]
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config = setup_configuration(get_args(args), RunMode.HYPEROPT)
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@ -101,6 +107,8 @@ def test_setup_hyperopt_configuration_with_arguments(mocker, default_conf, caplo
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args = [
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'hyperopt',
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'--config', 'config.json',
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'--customhyperopt', 'DefaultHyperOpts',
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'--hyperopt-loss', 'DefaultHyperOptLoss',
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'--datadir', '/foo/bar',
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'--ticker-interval', '1m',
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'--timerange', ':100',
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@ -155,7 +163,9 @@ def test_hyperoptresolver(mocker, default_conf, caplog) -> None:
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'freqtrade.resolvers.hyperopt_resolver.HyperOptResolver._load_hyperopt',
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MagicMock(return_value=hyperopts(default_conf))
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)
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x = HyperOptResolver(default_conf, ).hyperopt
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default_conf.update({'hyperopt': 'DefaultHyperOpts'})
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default_conf.update({'hyperopt_loss': 'DefaultHyperOptLoss'})
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x = HyperOptResolver(default_conf).hyperopt
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assert not hasattr(x, 'populate_buy_trend')
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assert not hasattr(x, 'populate_sell_trend')
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assert log_has("Hyperopt class does not provide populate_sell_trend() method. "
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@ -169,7 +179,15 @@ def test_hyperoptresolver_wrongname(mocker, default_conf, caplog) -> None:
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default_conf.update({'hyperopt': "NonExistingHyperoptClass"})
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with pytest.raises(OperationalException, match=r'Impossible to load Hyperopt.*'):
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HyperOptResolver(default_conf, ).hyperopt
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HyperOptResolver(default_conf).hyperopt
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def test_hyperoptresolver_noname(default_conf):
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default_conf['hyperopt'] = ''
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with pytest.raises(OperationalException,
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match="No Hyperopt set. Please use `--customhyperopt` to specify "
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"the Hyperopt class to use."):
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HyperOptResolver(default_conf)
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def test_hyperoptlossresolver(mocker, default_conf, caplog) -> None:
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@ -179,7 +197,8 @@ def test_hyperoptlossresolver(mocker, default_conf, caplog) -> None:
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'freqtrade.resolvers.hyperopt_resolver.HyperOptLossResolver._load_hyperoptloss',
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MagicMock(return_value=hl)
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)
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x = HyperOptLossResolver(default_conf, ).hyperoptloss
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default_conf.update({'hyperopt_loss': 'DefaultHyperOptLoss'})
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x = HyperOptLossResolver(default_conf).hyperoptloss
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assert hasattr(x, "hyperopt_loss_function")
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@ -187,7 +206,17 @@ def test_hyperoptlossresolver_wrongname(mocker, default_conf, caplog) -> None:
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default_conf.update({'hyperopt_loss': "NonExistingLossClass"})
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with pytest.raises(OperationalException, match=r'Impossible to load HyperoptLoss.*'):
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HyperOptLossResolver(default_conf, ).hyperopt
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HyperOptLossResolver(default_conf).hyperopt
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def test_hyperoptlossresolver_noname(default_conf):
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default_conf.update({'hyperopt': 'DefaultHyperOpts'})
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default_conf['hyperopt_loss'] = ''
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with pytest.raises(OperationalException,
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match="No Hyperopt Loss Function set. Please use "
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"`--hyperopt-loss` to specify "
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"the Hyperopt Loss Function class to use."):
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HyperOptLossResolver(default_conf)
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def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None:
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@ -200,6 +229,8 @@ def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None
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args = [
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'hyperopt',
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'--config', 'config.json',
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'--customhyperopt', 'DefaultHyperOpts',
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'--hyperopt-loss', 'DefaultHyperOptLoss',
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'--epochs', '5'
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]
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args = get_args(args)
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@ -217,6 +248,8 @@ def test_start(mocker, default_conf, caplog) -> None:
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args = [
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'hyperopt',
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'--config', 'config.json',
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'--customhyperopt', 'DefaultHyperOpts',
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'--hyperopt-loss', 'DefaultHyperOptLoss',
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'--epochs', '5'
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]
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args = get_args(args)
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@ -239,6 +272,8 @@ def test_start_no_data(mocker, default_conf, caplog) -> None:
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args = [
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'hyperopt',
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'--config', 'config.json',
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'--customhyperopt', 'DefaultHyperOpts',
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'--hyperopt-loss', 'DefaultHyperOptLoss',
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'--epochs', '5'
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]
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args = get_args(args)
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@ -256,6 +291,8 @@ def test_start_filelock(mocker, default_conf, caplog) -> None:
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args = [
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'hyperopt',
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'--config', 'config.json',
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'--customhyperopt', 'DefaultHyperOpts',
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'--hyperopt-loss', 'DefaultHyperOptLoss',
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'--epochs', '5'
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]
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args = get_args(args)
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@ -264,6 +301,7 @@ def test_start_filelock(mocker, default_conf, caplog) -> None:
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def test_loss_calculation_prefer_correct_trade_count(default_conf, hyperopt_results) -> None:
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default_conf.update({'hyperopt_loss': 'DefaultHyperOptLoss'})
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hl = HyperOptLossResolver(default_conf).hyperoptloss
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correct = hl.hyperopt_loss_function(hyperopt_results, 600)
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over = hl.hyperopt_loss_function(hyperopt_results, 600 + 100)
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@ -276,6 +314,7 @@ def test_loss_calculation_prefer_shorter_trades(default_conf, hyperopt_results)
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resultsb = hyperopt_results.copy()
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resultsb.loc[1, 'trade_duration'] = 20
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default_conf.update({'hyperopt_loss': 'DefaultHyperOptLoss'})
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hl = HyperOptLossResolver(default_conf).hyperoptloss
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longer = hl.hyperopt_loss_function(hyperopt_results, 100)
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shorter = hl.hyperopt_loss_function(resultsb, 100)
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@ -288,6 +327,7 @@ def test_loss_calculation_has_limited_profit(default_conf, hyperopt_results) ->
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results_under = hyperopt_results.copy()
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results_under['profit_percent'] = hyperopt_results['profit_percent'] / 2
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default_conf.update({'hyperopt_loss': 'DefaultHyperOptLoss'})
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hl = HyperOptLossResolver(default_conf).hyperoptloss
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correct = hl.hyperopt_loss_function(hyperopt_results, 600)
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over = hl.hyperopt_loss_function(results_over, 600)
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@ -407,6 +447,8 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'all',
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@ -510,10 +552,13 @@ def test_buy_strategy_generator(hyperopt, testdatadir) -> None:
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def test_generate_optimizer(mocker, default_conf) -> None:
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default_conf.update({'config': 'config.json.example'})
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default_conf.update({'timerange': None})
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default_conf.update({'spaces': 'all'})
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default_conf.update({'hyperopt_min_trades': 1})
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'timerange': None,
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'spaces': 'all',
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'hyperopt_min_trades': 1,
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})
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trades = [
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('POWR/BTC', 0.023117, 0.000233, 100)
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@ -576,6 +621,8 @@ def test_generate_optimizer(mocker, default_conf) -> None:
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def test_clean_hyperopt(mocker, default_conf, caplog):
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'all',
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@ -592,6 +639,8 @@ def test_clean_hyperopt(mocker, default_conf, caplog):
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def test_continue_hyperopt(mocker, default_conf, caplog):
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'all',
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@ -621,6 +670,8 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'all',
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@ -658,6 +709,8 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'roi stoploss',
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@ -696,6 +749,8 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'roi stoploss',
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@ -737,6 +792,8 @@ def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'all',
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@ -770,6 +827,8 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'buy',
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@ -815,6 +874,8 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': 'sell',
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@ -862,6 +923,8 @@ def test_simplified_interface_failed(mocker, default_conf, caplog, capsys, metho
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patch_exchange(mocker)
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default_conf.update({'config': 'config.json.example',
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'hyperopt': 'DefaultHyperOpts',
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'hyperopt_loss': 'DefaultHyperOptLoss',
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'epochs': 1,
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'timerange': None,
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'spaces': space,
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