code: def __init__(
      self,
      df: "pyspark.sql.DataFrame",
      cache_dir: str = None,
      working_dir: str = None,
      **config_kwargs,
  ):
      import pyspark
  
      self._spark = pyspark.sql.SparkSession.builder.getOrCreate()
      self.df = df
      self._working_dir = working_dir
  
      super().__init__(
          cache_dir=cache_dir,
          config_name=str(self.df.semanticHash()),
          **config_kwargs,
      )
  
imports: import os
  import posixpath
  import uuid
  from dataclasses import dataclass
  from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
  import numpy
  import pyarrow
  import datasets
  from datasets.arrow_writer import ArrowWriter, ParquetWriter
  from datasets.config import MAX_SHARD_SIZE
  from datasets.filesystems import is_remote_filesystem, rename
  from datasets.iterable_dataset import _BaseExamplesIterable
  from datasets.utils.py_utils import convert_file_size_to_int
label_desc: Use image node_id 1 to create a new Spark object from inherited base classes: datasets with example: obj = Spark(df, cache_dir, working_dir)