Fixed code quality issues

.deepsource.toml

@@ -0,0 +1,12 @@
+version = 1
+
+test_patterns = ["tests/test_*.py"]
+
+exclude_patterns = ["examples/**"]
+
+[[analyzers]]
+name = "python"
+enabled = true
+
+  [analyzers.meta]
+  runtime_version = "3.x.x"

qlib/contrib/evaluate_portfolio.py

@@ -61,7 +61,7 @@ def get_position_value(evaluate_date, position):
     # load close price for position
     # position should also consider cash
     instruments = list(position.keys())
-    instruments = list(set(instruments) - set(["cash"]))  # filter 'cash'
+    instruments = list(set(instruments) - {"cash"})  # filter 'cash'
     fields = ["$close"]
     close_data_df = D.features(
         instruments,
@@ -80,7 +80,7 @@ def get_position_list_value(positions):
     instruments = set()
     for day, position in positions.items():
         instruments.update(position.keys())
-    instruments = list(set(instruments) - set(["cash"]))  # filter 'cash'
+    instruments = list(set(instruments) - {"cash"})  # filter 'cash'
     instruments.sort()
     day_list = list(positions.keys())
     day_list.sort()

qlib/contrib/online/manager.py

@@ -63,7 +63,7 @@ def load_user(self, user_id):
         account_path = self.data_path / user_id
         strategy_file = self.data_path / user_id / "strategy_{}.pickle".format(user_id)
         model_file = self.data_path / user_id / "model_{}.pickle".format(user_id)
-        cur_user_list = [user_id for user_id in self.users]
+        cur_user_list = list(self.users)
         if user_id in cur_user_list:
             raise ValueError("User {} has been loaded".format(user_id))
         else:

qlib/contrib/report/graph.py

@@ -161,7 +161,7 @@ def _get_data(self):
         """
         _t_df = self._df.dropna()
         _data_list = [_t_df[_col] for _col in self._name_dict]
-        _label_list = [_name for _name in self._name_dict.values()]
+        _label_list = list(self._name_dict.values())
         _fig = create_distplot(_data_list, _label_list, show_rug=False, **self._graph_kwargs)
 
         return _fig["data"]

qlib/data/cache.py

@@ -1045,9 +1045,6 @@ def _dataset(self, instruments, fields, start_time=None, end_time=None, freq="da
 class DatasetURICache(DatasetCache):
     """Prepared cache mechanism for server."""
 
-    def __init__(self, provider):
-        super(DatasetURICache, self).__init__(provider)
-
     def _uri(self, instruments, fields, start_time, end_time, freq, disk_cache=1, **kwargs):
         return hash_args(*self.normalize_uri_args(instruments, fields, freq), disk_cache)
 

qlib/data/data.py

@@ -654,9 +654,6 @@ class LocalExpressionProvider(ExpressionProvider):
     Provide expression data from local data source.
     """
 
-    def __init__(self):
-        super().__init__()
-
     def expression(self, instrument, field, start_time=None, end_time=None, freq="day"):
         expression = self.get_expression_instance(field)
         start_time = pd.Timestamp(start_time)

qlib/data/dataset/__init__.py

@@ -76,18 +76,7 @@ class DatasetH(Dataset):
     - The processing is related to data split.
     """
 
-    def __init__(self, handler: Union[Dict, DataHandler], segments: Dict):
-        """
-        Parameters
-        ----------
-        handler : Union[dict, DataHandler]
-            handler will be passed into setup_data.
-        segments : dict
-            handler will be passed into setup_data.
-        """
-        super().__init__(handler, segments)
-
-    def init(self, handler_kwargs: Optional[Dict] = None, segment_kwargs: Optional[Dict] = None):
+    def init(self, handler_kwargs: dict = None, segment_kwargs: dict = None):
         """
         Initialize the DatasetH
 

qlib/utils/__init__.py

@@ -212,7 +212,7 @@ def get_cls_kwargs(config: Union[dict, str], module) -> (type, dict):
 
 
 def init_instance_by_config(
-    config: Union[str, dict, object], module=None, accept_types: Union[type, Tuple[type]] = tuple([]), **kwargs
+    config: Union[str, dict, object], module=None, accept_types: Union[type, Tuple[type]] = (), **kwargs
 ) -> object:
     """
     get initialized instance with config