log hyperopt progress to stdout instead to the logger
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403f59ef45
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@ -217,13 +217,13 @@ class Hyperopt(Backtesting):
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"""
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"""
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if results['loss'] < self.current_best_loss:
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if results['loss'] < self.current_best_loss:
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self.current_best_loss = results['loss']
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self.current_best_loss = results['loss']
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log_msg = '{:5d}/{}: {}. Loss {:.5f}'.format(
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log_msg = '\n{:5d}/{}: {}. Loss {:.5f}'.format(
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results['current_tries'],
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results['current_tries'],
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results['total_tries'],
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results['total_tries'],
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results['result'],
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results['result'],
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results['loss']
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results['loss']
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)
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)
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logger.info(log_msg)
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print(log_msg)
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else:
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else:
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print('.', end='')
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print('.', end='')
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sys.stdout.flush()
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sys.stdout.flush()
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@ -124,7 +124,7 @@ def test_loss_calculation_has_limited_profit(init_hyperopt) -> None:
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assert under > correct
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assert under > correct
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def test_log_results_if_loss_improves(init_hyperopt, caplog) -> None:
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def test_log_results_if_loss_improves(init_hyperopt, capsys) -> None:
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hyperopt = _HYPEROPT
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hyperopt = _HYPEROPT
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hyperopt.current_best_loss = 2
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hyperopt.current_best_loss = 2
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hyperopt.log_results(
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hyperopt.log_results(
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@ -135,7 +135,8 @@ def test_log_results_if_loss_improves(init_hyperopt, caplog) -> None:
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'result': 'foo'
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'result': 'foo'
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}
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}
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)
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)
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assert log_has(' 1/2: foo. Loss 1.00000', caplog.record_tuples)
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out, err = capsys.readouterr()
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assert ' 1/2: foo. Loss 1.00000'in out
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def test_no_log_if_loss_does_not_improve(init_hyperopt, caplog) -> None:
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def test_no_log_if_loss_does_not_improve(init_hyperopt, caplog) -> None:
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