pylint changes

rh-pre-commit.version: 2.2.0
rh-pre-commit.check-secrets: ENABLED

pkg/algorithms/cmr/cmr.py

@@ -26,8 +26,8 @@ def _analyze(self):
             series: data series that contains attributes and full dataframe
             change_points_by_metric: list of ChangePoints
         """
-        self.logger_instance = SingletonLogger.getLogger("Orion")
-        self.logger_instance.info("Starting analysis using CMR")
+        logger_instance = SingletonLogger.getLogger("Orion")
+        logger_instance.info("Starting analysis using CMR")
         self.dataframe["timestamp"] = pd.to_datetime(self.dataframe["timestamp"])
         self.dataframe["timestamp"] = self.dataframe["timestamp"].astype(int) // 10**9
 
@@ -39,14 +39,13 @@ def _analyze(self):
         self.dataframe = self.combine_and_average_runs( self.dataframe)
 
         series= self.setup_series()
-        tolerancy = 20
 
-        df, change_points_by_metric = self.run_cmr(tolerancy, self.dataframe)
+        df, change_points_by_metric = self.run_cmr(self.dataframe)
         series.data= df
         return series, change_points_by_metric
 
 
-    def run_cmr(self, tolerancy: int, dataframe_list: pd.DataFrame):
+    def run_cmr(self, dataframe_list: pd.DataFrame):
         """
         Generate the percent difference in a 2 row dataframe
 

pkg/runTest.py

@@ -10,13 +10,21 @@
 from pkg.utils import get_datasource, process_test, get_subtracted_timestamp
 
 def get_algorithm_type(kwargs):
+    """Switch Case of getting algorithm name
+
+    Args:
+        kwargs (dict): passed command line arguments
+
+    Returns:
+        str: algorithm name
+    """
     if kwargs["hunter_analyze"]:
         algorithm_name = cnsts.EDIVISIVE
     elif kwargs["anomaly_detection"]:
         algorithm_name = cnsts.ISOLATION_FOREST
     elif kwargs['cmr']:
         algorithm_name = cnsts.CMR
-    else: 
+    else:
         algorithm_name = None
     return algorithm_name