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Code Issues Actions 2 Packages Projects Releases Wiki Activity

Update a few missed ruff format updates

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This commit is contained in:
Matthias 2024-05-12 18:02:42 +02:00
parent 9d6e4ae67d
commit b97ff77d65
7 changed files with 15 additions and 12 deletions
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3
build_helpers/freqtrade_client_version_align.py
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@ -1,7 +1,6 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
from freqtrade_client import __version__ as client_version
from freqtrade import __version__ as ft_version from freqtrade import __version__ as ft_version
from freqtrade_client import __version__ as client_version
def main(): def main():

4
freqtrade/freqai/RL/BaseReinforcementLearningModel.py
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@ -197,9 +197,9 @@ class BaseReinforcementLearningModel(IFreqaiModel):
"df_raw": self.df_raw, "df_raw": self.df_raw,
} }
if self.data_provider: if self.data_provider:
env_info["fee"] = self.data_provider._exchange.get_fee( env_info["fee"] = self.data_provider._exchange.get_fee( # type: ignore
symbol=self.data_provider.current_whitelist()[0] symbol=self.data_provider.current_whitelist()[0]
) # type: ignore )
return env_info return env_info

4
freqtrade/freqai/prediction_models/LightGBMRegressorMultiTarget.py
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@ -42,8 +42,8 @@ class LightGBMRegressorMultiTarget(BaseRegressionModel):
eval_weights = [data_dictionary["test_weights"]] eval_weights = [data_dictionary["test_weights"]]
eval_sets = [(None, None)] * data_dictionary["test_labels"].shape[1] # type: ignore eval_sets = [(None, None)] * data_dictionary["test_labels"].shape[1] # type: ignore
for i in range(data_dictionary["test_labels"].shape[1]): for i in range(data_dictionary["test_labels"].shape[1]):
eval_sets[i] = [ eval_sets[i] = [ # type: ignore
( # type: ignore (
data_dictionary["test_features"], data_dictionary["test_features"],
data_dictionary["test_labels"].iloc[:, i], data_dictionary["test_labels"].iloc[:, i],
) )

4
freqtrade/freqai/prediction_models/XGBoostRegressorMultiTarget.py
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@ -41,8 +41,8 @@ class XGBoostRegressorMultiTarget(BaseRegressionModel):
if self.freqai_info.get("data_split_parameters", {}).get("test_size", 0.1) != 0: if self.freqai_info.get("data_split_parameters", {}).get("test_size", 0.1) != 0:
eval_weights = [data_dictionary["test_weights"]] eval_weights = [data_dictionary["test_weights"]]
for i in range(data_dictionary["test_labels"].shape[1]): for i in range(data_dictionary["test_labels"].shape[1]):
eval_sets[i] = [ eval_sets[i] = [ # type: ignore
( # type: ignore (
data_dictionary["test_features"], data_dictionary["test_features"],
data_dictionary["test_labels"].iloc[:, i], data_dictionary["test_labels"].iloc[:, i],
) )

4
freqtrade/optimize/backtesting.py
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@ -873,9 +873,9 @@ class Backtesting:
enter = row[SHORT_IDX] if trade.is_short else row[LONG_IDX] enter = row[SHORT_IDX] if trade.is_short else row[LONG_IDX]
exit_sig = row[ESHORT_IDX] if trade.is_short else row[ELONG_IDX] exit_sig = row[ESHORT_IDX] if trade.is_short else row[ELONG_IDX]
exits = self.strategy.should_exit( exits = self.strategy.should_exit(
trade, trade, # type: ignore
row[OPEN_IDX], row[OPEN_IDX],
row[DATE_IDX].to_pydatetime(), # type: ignore row[DATE_IDX].to_pydatetime(),
enter=enter, enter=enter,
exit_=exit_sig, exit_=exit_sig,
low=row[LOW_IDX], low=row[LOW_IDX],

5
freqtrade/optimize/optimize_reports/bt_output.py
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@ -334,7 +334,10 @@ def text_table_add_metrics(strat_results: Dict) -> str:
("Avg. Duration Loser", f"{strat_results['loser_holding_avg']}"), ("Avg. Duration Loser", f"{strat_results['loser_holding_avg']}"),
( (
"Max Consecutive Wins / Loss", "Max Consecutive Wins / Loss",
f"{strat_results['max_consecutive_wins']} / {strat_results['max_consecutive_losses']}" (
f"{strat_results['max_consecutive_wins']} / "
f"{strat_results['max_consecutive_losses']}"
)
if "max_consecutive_losses" in strat_results if "max_consecutive_losses" in strat_results
else "N/A", else "N/A",
), ),

3
freqtrade/rpc/telegram.py
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@ -765,7 +765,8 @@ class Telegram(RPCHandler):
if r.get("realized_profit"): if r.get("realized_profit"):
lines.extend( lines.extend(
[ [
"*Realized Profit:* `{realized_profit_ratio:.2%} ({realized_profit_r})`", "*Realized Profit:* `{realized_profit_ratio:.2%} "
"({realized_profit_r})`",
"*Total Profit:* `{total_profit_ratio:.2%} ({total_profit_abs_r})`", "*Total Profit:* `{total_profit_ratio:.2%} ({total_profit_abs_r})`",
] ]
) )