black formating (black is upgraded in github)

examples/benchmarks/TFT/data_formatters/base.py

@@ -132,7 +132,7 @@ class GenericDataFormatter(abc.ABC):
         return -1, -1
 
     def get_column_definition(self):
-        """"Returns formatted column definition in order expected by the TFT."""
+        """Returns formatted column definition in order expected by the TFT."""
 
         column_definition = self._column_definition
 

qlib/contrib/backtest/position.py

@@ -128,7 +128,7 @@ class Position:
         return self.position["cash"]
 
     def get_stock_amount_dict(self):
-        """generate stock amount dict {stock_id : amount of stock} """
+        """generate stock amount dict {stock_id : amount of stock}"""
         d = {}
         stock_list = self.get_stock_list()
         for stock_code in stock_list:

qlib/contrib/report/graph.py

@@ -18,7 +18,7 @@ from ...utils import get_module_by_module_path
 
 
 class BaseGraph:
-    """"""
+    """ """
 
     _name = None
 

qlib/data/dataset/processor.py

@@ -129,7 +129,7 @@ class FilterCol(Processor):
 
 
 class TanhProcess(Processor):
-    """ Use tanh to process noise data"""
+    """Use tanh to process noise data"""
 
     def __call__(self, df):
         def tanh_denoise(data):
@@ -144,7 +144,7 @@ class TanhProcess(Processor):
 
 
 class ProcessInf(Processor):
-    """Process infinity  """
+    """Process infinity"""
 
     def __call__(self, df):
         def replace_inf(data):

qlib/model/base.py

@@ -11,11 +11,11 @@ class BaseModel(Serializable, metaclass=abc.ABCMeta):
 
     @abc.abstractmethod
     def predict(self, *args, **kwargs) -> object:
-        """ Make predictions after modeling things """
+        """Make predictions after modeling things"""
         pass
 
     def __call__(self, *args, **kwargs) -> object:
-        """ leverage Python syntactic sugar to make the models' behaviors like functions """
+        """leverage Python syntactic sugar to make the models' behaviors like functions"""
         return self.predict(*args, **kwargs)
 
 

qlib/portfolio/optimizer/base.py

@@ -5,9 +5,9 @@ import abc
 
 
 class BaseOptimizer(abc.ABC):
-    """ Construct portfolio with a optimization related method """
+    """Construct portfolio with a optimization related method"""
 
     @abc.abstractmethod
     def __call__(self, *args, **kwargs) -> object:
-        """ Generate a optimized portfolio allocation """
+        """Generate a optimized portfolio allocation"""
         pass