diff --git a/src/gausskernel/dbmind/tools/app/diagnosis/query/slow_sql/significance_detection/average_base.py b/src/gausskernel/dbmind/tools/app/diagnosis/query/slow_sql/significance_detection/average_base.py
index 4f19f701c..8742adbf9 100644
--- a/src/gausskernel/dbmind/tools/app/diagnosis/query/slow_sql/significance_detection/average_base.py
+++ b/src/gausskernel/dbmind/tools/app/diagnosis/query/slow_sql/significance_detection/average_base.py
@@ -12,17 +12,16 @@
 # See the Mulan PSL v2 for more details.
 
 alpha = 1e-10
+#Define a minimum number of errors
 
+#function name: detect
+#description: Calculate whether the data has abrupt changes based on the average value
+#arguments: data1, data2, threshold,method
+#return value: bool
+#date: 2022/8/
+#contact: 1865997821
 
 def detect(data1, data2, threshold=0.5, method='bool'):
-    """
-    Calculate whether the data has abrupt changes based on the average value
-    :param data1: input data array
-    :param data2: input data array
-    :param threshold: Mutation rate
-    :param method: The way to calculate the mutation
-    :return: bool
-    """
     if not isinstance(data1, list) or not isinstance(data2, list):
         raise TypeError("The format of the input data is wrong.")
     avg1 = sum(data1) / len(data1) if data1 else 0