fix: lint docstring err

Signed-off-by: machichima <[email protected]>

plugins/flytekit-spark/flytekitplugins/spark/task.py

@@ -29,13 +29,13 @@ class Spark(object):
     Use this to configure a SparkContext for a your task. Task's marked with this will automatically execute
     natively onto K8s as a distributed execution of spark
 
-    Args:
-        spark_conf: Dictionary of spark config. The variables should match what spark expects
-        hadoop_conf: Dictionary of hadoop conf. The variables should match a typical hadoop configuration for spark
-        executor_path: Python binary executable to use for PySpark in driver and executor.
-        applications_path: MainFile is the path to a bundled JAR, Python, or R file of the application to execute.
-        driver_pod: PodTemplate for Spark driver pod
-        executor_pod: PodTemplate for Spark executor pod
+    Attributes:
+        spark_conf (Optional[Dict[str, str]]): Spark configuration dictionary.
+        hadoop_conf (Optional[Dict[str, str]]): Hadoop configuration dictionary.
+        executor_path (Optional[str]): Path to the Python binary for PySpark execution.
+        applications_path (Optional[str]): Path to the main application file.
+        driver_pod (Optional[PodTemplate]): The pod template for the Spark driver pod.
+        executor_pod (Optional[PodTemplate]): The pod template for the Spark executor pod.
     """
 
     spark_conf: Optional[Dict[str, str]] = None

pydoclint-errors-baseline.txt

@@ -602,8 +602,6 @@ plugins/flytekit-spark/flytekitplugins/spark/models.py
     DOC301: Class `SparkJob`: __init__() should not have a docstring; please combine it with the docstring of the class
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 plugins/flytekit-spark/flytekitplugins/spark/task.py
-    DOC601: Class `Spark`: Class docstring contains fewer class attributes than actual class attributes.  (Please read https://jsh9.github.io/pydoclint/checking_class_attributes.html on how to correctly document class attributes.)
-    DOC603: Class `Spark`: Class docstring attributes are different from actual class attributes. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Attributes in the class definition but not in the docstring: [applications_path: Optional[str], executor_path: Optional[str], hadoop_conf: Optional[Dict[str, str]], spark_conf: Optional[Dict[str, str]]]. (Please read https://jsh9.github.io/pydoclint/checking_class_attributes.html on how to correctly document class attributes.)
     DOC601: Class `DatabricksV2`: Class docstring contains fewer class attributes than actual class attributes.  (Please read https://jsh9.github.io/pydoclint/checking_class_attributes.html on how to correctly document class attributes.)
     DOC603: Class `DatabricksV2`: Class docstring attributes are different from actual class attributes. (Or could be other formatting issues: https://jsh9.github.io/pydoclint/violation_codes.html#notes-on-doc103 ). Attributes in the class definition but not in the docstring: [databricks_conf: Optional[Dict[str, Union[str, dict]]], databricks_instance: Optional[str]]. (Please read https://jsh9.github.io/pydoclint/checking_class_attributes.html on how to correctly document class attributes.)
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