ruff format: Update test strategies

tests/strategy/strats/broken_strats/broken_futures_strategies.py

@@ -12,7 +12,6 @@ from freqtrade.strategy.interface import IStrategy
 
 
 class TestStrategyNoImplements(IStrategy):
-
     def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         return super().populate_indicators(dataframe, metadata)
 
@@ -26,9 +25,15 @@ class TestStrategyImplementCustomSell(TestStrategyNoImplementSell):
     def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         return super().populate_exit_trend(dataframe, metadata)
 
-    def custom_sell(self, pair: str, trade, current_time: datetime,
-                    current_rate: float, current_profit: float,
-                    **kwargs):
+    def custom_sell(
+        self,
+        pair: str,
+        trade,
+        current_time: datetime,
+        current_rate: float,
+        current_profit: float,
+        **kwargs,
+    ):
         return False
 
 
@@ -36,8 +41,9 @@ class TestStrategyImplementBuyTimeout(TestStrategyNoImplementSell):
     def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         return super().populate_exit_trend(dataframe, metadata)
 
-    def check_buy_timeout(self, pair: str, trade, order: Order,
-                          current_time: datetime, **kwargs) -> bool:
+    def check_buy_timeout(
+        self, pair: str, trade, order: Order, current_time: datetime, **kwargs
+    ) -> bool:
         return False
 
 
@@ -45,6 +51,7 @@ class TestStrategyImplementSellTimeout(TestStrategyNoImplementSell):
     def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         return super().populate_exit_trend(dataframe, metadata)
 
-    def check_sell_timeout(self, pair: str, trade, order: Order,
-                           current_time: datetime, **kwargs) -> bool:
+    def check_sell_timeout(
+        self, pair: str, trade, order: Order, current_time: datetime, **kwargs
+    ) -> bool:
         return False