update comments

examples/highfreq/highfreq_processor.py

@@ -70,10 +70,3 @@ class HighFreqNorm(Processor):
             columns=["FEATURE_%d" % i for i in range(12 * 240)],
         ).sort_index()
         return df_new_features
-
-    def config(self, fit_start_time=None, fit_end_time=None, **kwargs):
-        if fit_start_time:
-            self.fit_start_time = fit_start_time
-        if fit_end_time:
-            self.fit_end_time = fit_end_time
-        super().config(**kwargs)

examples/highfreq/workflow.py

@@ -27,7 +27,7 @@ from qlib.tests.data import GetData
 from highfreq_ops import get_calendar_day, DayLast, FFillNan, BFillNan, Date, Select, IsNull, Cut
 
 
-class HighfreqWorkflow(object):
+class HighfreqWorkflow:
 
     SPEC_CONF = {"custom_ops": [DayLast, FFillNan, BFillNan, Date, Select, IsNull, Cut], "expression_cache": None}
 
@@ -177,8 +177,8 @@ class HighfreqWorkflow(object):
         dataset_backtest.setup_data(handler_kwargs={})
 
         ##=============get data=============
-        (xtest,) = dataset.prepare(["test"])
-        (backtest_test,) = dataset_backtest.prepare(["test"])
+        xtest = dataset.prepare("test")
+        backtest_test = dataset_backtest.prepare("test")
 
         print(xtest, backtest_test)
         return

examples/rolling_process_data/workflow.py

@@ -14,7 +14,7 @@ from qlib.utils import exists_qlib_data, init_instance_by_config
 from qlib.tests.data import GetData
 
 
-class RollingDataWorkflow(object):
+class RollingDataWorkflow:
 
     MARKET = "csi300"
     start_time = "2010-01-01"