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tests adjusted

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This commit is contained in:
hroff-1902 2019-07-30 11:47:46 +03:00
parent 8f1f416a52
commit b976f24672
1 changed files with 12 additions and 9 deletions
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21
freqtrade/tests/optimize/test_hyperopt.py
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@ -370,13 +370,13 @@ def test_onlyprofit_loss_prefers_higher_profits(default_conf, hyperopt_results)
def test_log_results_if_loss_improves(hyperopt, capsys) -> None:
hyperopt.current_best_loss = 2
hyperopt.total_epochs = 2
hyperopt.log_results(
{
'loss': 1,
'current_tries': 1,
'total_tries': 2,
'result': 'foo.',
'initial_point': False
'current_epoch': 1,
'results_explanation': 'foo.',
'is_initial_point': False
}
)
out, err = capsys.readouterr()
@ -433,7 +433,7 @@ def test_roi_table_generation(hyperopt) -> None:
assert hyperopt.custom_hyperopt.generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
def test_start_calls_optimizer(mocker, default_conf, caplog) -> None:
def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
mocker.patch(
@ -443,7 +443,7 @@ def test_start_calls_optimizer(mocker, default_conf, caplog) -> None:
parallel = mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
MagicMock(return_value=[{'loss': 1, 'result': 'foo result', 'params': {}}])
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {}}])
)
patch_exchange(mocker)
@ -457,8 +457,11 @@ def test_start_calls_optimizer(mocker, default_conf, caplog) -> None:
hyperopt.strategy.tickerdata_to_dataframe = MagicMock()
hyperopt.start()
parallel.assert_called_once()
assert log_has('Best result:\nfoo result\nwith values:\n', caplog.record_tuples)
out, err = capsys.readouterr()
assert 'Best result:\n* 1/1: foo result Objective: 1.00000\nwith values:\n' in out
assert dumper.called
# Should be called twice, once for tickerdata, once to save evaluations
assert dumper.call_count == 2
@ -598,8 +601,8 @@ def test_generate_optimizer(mocker, default_conf) -> None:
}
response_expected = {
'loss': 1.9840569076926293,
'result': ' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC '
'( 2.31Σ%). Avg duration 100.0 mins.',
'results_explanation': ' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC '
'( 2.31Σ%). Avg duration 100.0 mins.',
'params': optimizer_param
}