#106: Linted

Signed-off-by: Dominik Hoffmann <[email protected]>

tests/sdk/python/rtdip_sdk/pipelines/data_quality/data_manipulation/spark/test_gaussian_smoothing.py

@@ -56,13 +56,13 @@ def test_gaussian_smoothing_temporal(spark_session: SparkSession):
     original_values = df.select("Value").collect()
     smoothed_values = result_df.select("Value").collect()
 
-    assert original_values != smoothed_values, "Values should be smoothed and not identical"
+    assert (
+        original_values != smoothed_values
+    ), "Values should be smoothed and not identical"
 
     assert result_df.count() == df.count(), "Result should have same number of rows"
 
 
-
-
 def test_gaussian_smoothing_spatial(spark_session: SparkSession):
     df = spark_session.createDataFrame(
         [
@@ -89,9 +89,12 @@ def test_gaussian_smoothing_spatial(spark_session: SparkSession):
     original_values = df.select("Value").collect()
     smoothed_values = result_df.select("Value").collect()
 
-    assert original_values != smoothed_values, "Values should be smoothed and not identical"
+    assert (
+        original_values != smoothed_values
+    ), "Values should be smoothed and not identical"
     assert result_df.count() == df.count(), "Result should have same number of rows"
 
+
 def test_interval_detection_large_data_set(spark_session: SparkSession):
     # Should not timeout
     base_path = os.path.dirname(__file__)
@@ -109,7 +112,9 @@ def test_interval_detection_large_data_set(spark_session: SparkSession):
     )
 
     actual_df = smoother.filter()
-    assert actual_df.count() == df.count(), "Output should have same number of rows as input"
+    assert (
+        actual_df.count() == df.count()
+    ), "Output should have same number of rows as input"
 
 
 def test_gaussian_smoothing_invalid_mode(spark_session: SparkSession):