format code

examples/online_srv/online_management_simulate.py

@@ -113,7 +113,7 @@ class OnlineSimulationExample:
         self.rolling_gen = RollingGen(
             step=rolling_step, rtype=RollingGen.ROLL_SD, ds_extra_mod_func=None
         )  # The rolling tasks generator, ds_extra_mod_func is None because we just need to simulate to 2018-10-31 and needn't change the handler end time.
-        self.trainer = DelayTrainerRM(self.exp_name, self.task_pool) # Also can be TrainerR, TrainerRM, DelayTrainerR
+        self.trainer = DelayTrainerRM(self.exp_name, self.task_pool)  # Also can be TrainerR, TrainerRM, DelayTrainerR
         self.rolling_online_manager = OnlineManager(
             RollingStrategy(exp_name, task_template=tasks, rolling_gen=self.rolling_gen),
             trainer=self.trainer,

qlib/model/ens/ensemble.py

@@ -103,6 +103,7 @@ class AverageEnsemble(Ensemble):
         Returns:
             pd.DataFrame: the complete result of averaging and standardizing.
     """
+
     def __call__(self, ensemble_dict: dict) -> pd.DataFrame:
         # need to flatten the nested dict
         ensemble_dict = flatten_dict(ensemble_dict, sep=FLATTEN_TUPLE)

qlib/model/ens/group.py

@@ -64,7 +64,7 @@ class Group:
         else:
             raise NotImplementedError(f"Please specify valid `_ens_func`.")
 
-    def __call__(self, ungrouped_dict: dict, n_jobs:int=1, verbose:int=0, *args, **kwargs) -> dict:
+    def __call__(self, ungrouped_dict: dict, n_jobs: int = 1, verbose: int = 0, *args, **kwargs) -> dict:
         """
         Group the ungrouped_dict into different groups.
 

qlib/utils/serial.py

@@ -8,7 +8,6 @@ import dill
 from typing import Union
 
 
-
 class Serializable:
     """
     Serializable will change the behaviors of pickle.

qlib/workflow/online/manager.py

@@ -41,8 +41,8 @@ class OnlineManager(Serializable):
     It also provides a history recording of which models are online at what time.
     """
 
-    STATUS_SIMULATING = "simulating" # when calling `simulate`
-    STATUS_NORMAL = "normal" # the normal status
+    STATUS_SIMULATING = "simulating"  # when calling `simulate`
+    STATUS_NORMAL = "normal"  # the normal status
 
     def __init__(
         self,
@@ -210,7 +210,9 @@ class OnlineManager(Serializable):
     SIM_LOG_LEVEL = logging.INFO + 1
     SIM_LOG_NAME = "SIMULATE_INFO"
 
-    def simulate(self, end_time, frequency="day", task_kwargs={}, model_kwargs={}, signal_kwargs={}) -> Union[pd.Series, pd.DataFrame]:
+    def simulate(
+        self, end_time, frequency="day", task_kwargs={}, model_kwargs={}, signal_kwargs={}
+    ) -> Union[pd.Series, pd.DataFrame]:
         """
         Starting from the current time, this method will simulate every routine in OnlineManager until the end time.