Remove methods with unnecessary super delegation.

Signed-off-by: shubhendra <withshubh@gmail.com>

qlib/data/cache.py

@@ -1045,9 +1045,6 @@ class SimpleDatasetCache(DatasetCache):
 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

@@ -76,17 +76,6 @@ 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: dict = None, segment_kwargs: dict = None):
         """
         Initialize the DatasetH

qlib/workflow/expm.py

@@ -229,9 +229,6 @@ class MLflowExpManager(ExpManager):
     Use mlflow to implement ExpManager.
     """
 
-    def __init__(self, uri, default_exp_name):
-        super(MLflowExpManager, self).__init__(uri, default_exp_name)
-
     @property
     def client(self):
         # Delay the creation of mlflow client in case of creating `mlruns` folder when importing qlib