chore: fix double-space typos

Author: xmatthias

build_helpers/create_command_partials.py

@@ -87,7 +87,7 @@ def extract_command_partials():
             help_output = _get_help_output(subparser)
             _write_partial_file(f"docs/commands/{command}.md", help_output)
         else:
-            print(f"  Warning: subcommand '{command}' not found in parser")
+            print(f" Warning: subcommand '{command}' not found in parser")
 
     # freqtrade-client still uses subprocess as requested
     print("Running for freqtrade-client")

freqtrade/exchange/check_exchange.py

@@ -51,12 +51,10 @@ def check_exchange(config: Config, check_for_bad: bool = True) -> bool:
     if not valid:
         if check_for_bad:
             raise OperationalException(
-                f'Exchange "{exchange}"  will not work with Freqtrade. Reason: {reason}.'
+                f'Exchange "{exchange}" will not work with Freqtrade. Reason: {reason}.'
             )
         else:
-            logger.warning(
-                f'Exchange "{exchange}"  will not work with Freqtrade. Reason: {reason}.'
-            )
+            logger.warning(f'Exchange "{exchange}" will not work with Freqtrade. Reason: {reason}.')
 
     if MAP_EXCHANGE_CHILDCLASS.get(exchange, exchange) in SUPPORTED_EXCHANGES:
         logger.info(

freqtrade/freqai/data_kitchen.py

@@ -990,7 +990,7 @@ def buffer_timerange(self, timerange: TimeRange):
         are populated.
 
         The main example use is when predicting maxima and minima, the argrelextrema
-        function  cannot know the maxima/minima at the edges of the timerange. To improve
+        function cannot know the maxima/minima at the edges of the timerange. To improve
         model accuracy, it is best to compute argrelextrema on the full timerange
         and then use this function to cut off the edges (buffer) by the kernel.
 

freqtrade/freqai/prediction_models/SKLearnRandomForestClassifier.py

@@ -63,7 +63,7 @@ def predict(
     ) -> tuple[DataFrame, npt.NDArray[np.int_]]:
         """
         Filter the prediction features data and predict with it.
-        :param  unfiltered_df: Full dataframe for the current backtest period.
+        :param unfiltered_df: Full dataframe for the current backtest period.
         :return:
         :pred_df: dataframe containing the predictions
         :do_predict: np.array of 1s and 0s to indicate places where freqai needed to remove

freqtrade/freqai/prediction_models/XGBoostRFClassifier.py

@@ -67,7 +67,7 @@ def predict(
     ) -> tuple[DataFrame, npt.NDArray[np.int_]]:
         """
         Filter the prediction features data and predict with it.
-        :param  unfiltered_df: Full dataframe for the current backtest period.
+        :param unfiltered_df: Full dataframe for the current backtest period.
         :return:
         :pred_df: dataframe containing the predictions
         :do_predict: np.array of 1s and 0s to indicate places where freqai needed to remove

freqtrade/optimize/backtesting.py

@@ -757,7 +757,7 @@ def _try_close_open_order(
     ) -> bool:
         """
         Check if an order is open and if it should've filled.
-        :return:  True if the order filled.
+        :return: True if the order filled.
         """
         if order and self._get_order_filled(order.ft_price, row):
             order.close_bt_order(current_date, trade)

freqtrade/optimize/optimize_reports/optimize_reports.py

@@ -197,7 +197,7 @@ def generate_pair_metrics(  #
     skip_nan: bool = False,
 ) -> list[dict]:
     """
-    Generates and returns a list  for the given backtest data and the results dataframe
+    Generates and returns a list for the given backtest data and the results dataframe
     :param pairlist: Pairlist used
     :param stake_currency: stake-currency - used to correctly name headers
     :param starting_balance: Starting balance

freqtrade/persistence/wallet_history.py

@@ -45,6 +45,6 @@ class WalletHistory(ModelBase):
     def __repr__(self) -> str:
         return (
             f"WalletHistory(timestamp={self.timestamp}, currency={self.currency}, "
-            f"rate={self.rate},  total_quote={self.total_quote}, "
+            f"rate={self.rate}, total_quote={self.total_quote}, "
             f"balance={self.balance}, leverage={self.leverage})"
         )

freqtrade/plot/plotting.py

@@ -356,7 +356,7 @@ def plot_area(
     :param indicator_b: indicator name as populated in strategy
     :param label: label for the filled area
     :param fill_color: color to be used for the filled area
-    :return: fig with added  filled_traces plot
+    :return: fig with added filled_traces plot
     """
     if indicator_a in data and indicator_b in data:
         # make lines invisible to get the area plotted, only.
@@ -383,7 +383,7 @@ def add_areas(fig, row: int, data: pd.DataFrame, indicators) -> make_subplots:
     :param data: candlestick DataFrame
     :param indicators: dict with indicators. ie.: plot_config['main_plot'] or
                             plot_config['subplots'][subplot_label]
-    :return: fig with added  filled_traces plot
+    :return: fig with added filled_traces plot
     """
     for indicator, ind_conf in indicators.items():
         if "fill_to" in ind_conf:

freqtrade/rpc/rpc.py

@@ -1407,7 +1407,7 @@ def _rpc_count(self) -> dict[str, float]:
         }
 
     def _rpc_locks(self) -> dict[str, Any]:
-        """Returns the  current locks"""
+        """Returns the current locks"""
 
         locks = PairLocks.get_pair_locks(None)
         return {"lock_count": len(locks), "locks": [lock.to_json() for lock in locks]}