Fixed to pass PEP8
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@ -59,9 +59,10 @@ ARGS_PLOT_DATAFRAME = ["pairs", "indicators1", "indicators2", "plot_limit",
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ARGS_PLOT_PROFIT = ["pairs", "timerange", "export", "exportfilename", "db_url",
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"trade_source", "ticker_interval"]
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ARGS_HYPEROPT_LIST = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperopt_list_min_avg_time",
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"hyperopt_list_max_avg_time", "hyperopt_list_min_avg_profit", "hyperopt_list_min_total_profit", "print_colorized",
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"print_json", "hyperopt_list_no_details"]
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ARGS_HYPEROPT_LIST = ["hyperopt_list_best", "hyperopt_list_profitable",
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"hyperopt_list_min_avg_time", "hyperopt_list_max_avg_time",
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"hyperopt_list_min_avg_profit", "hyperopt_list_min_total_profit",
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"print_colorized", "print_json", "hyperopt_list_no_details"]
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ARGS_HYPEROPT_SHOW = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperopt_show_index",
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"print_json", "hyperopt_show_no_header"]
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@ -32,7 +32,7 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
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'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit', 0.0),
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'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', 0.0)
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}
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trials_file = (config['user_data_dir'] /
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'hyperopt_results' / 'hyperopt_results.pickle')
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@ -51,7 +51,8 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
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try:
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# Human-friendly indexes used here (starting from 1)
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for val in trials[epoch_start:epoch_stop]:
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Hyperopt.print_results_explanation(val, total_epochs, not filteroptions['only_best'], print_colorized)
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Hyperopt.print_results_explanation(val, total_epochs,
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not filteroptions['only_best'], print_colorized)
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except KeyboardInterrupt:
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print('User interrupted..')
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@ -121,14 +122,27 @@ def _hyperopt_filter_trials(trials: List, filteroptions: dict) -> List:
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if not filteroptions['only_best']:
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if filteroptions['filter_min_avg_time'] > 0:
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trials = [x for x in trials if x['results_metrics']['duration'] > filteroptions['filter_min_avg_time']]
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trials = [
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x for x in trials
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if x['results_metrics']['duration'] > filteroptions['filter_min_avg_time']
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]
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if filteroptions['filter_max_avg_time'] > 0:
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trials = [x for x in trials if x['results_metrics']['duration'] < filteroptions['filter_max_avg_time']]
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trials = [
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x for x in trials
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if x['results_metrics']['duration'] < filteroptions['filter_max_avg_time']
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]
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if filteroptions['filter_min_avg_profit'] > 0:
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trials = [x for x in trials if x['results_metrics']['avg_profit'] > filteroptions['filter_min_avg_profit']]
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trials = [
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x for x in trials
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if x['results_metrics']['avg_profit']
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> filteroptions['filter_min_avg_profit']
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]
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if filteroptions['filter_min_total_profit'] > 0:
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trials = [x for x in trials if x['results_metrics']['profit'] > filteroptions['filter_min_total_profit']]
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trials = [
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x for x in trials
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if x['results_metrics']['profit'] > filteroptions['filter_min_total_profit']
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]
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logger.info(f"{len(trials)} " +
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("best " if filteroptions['only_best'] else "") +
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("profitable " if filteroptions['only_profitable'] else "") +
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