code: def to_spark(self, t, flatten):
      t = t.expand_types()
      if flatten:
          t = t.flatten()
      return pyspark.sql.DataFrame(
          self._jbackend.pyToDF(self._render_ir(t._tir)),
          self._spark_session,
      )
  
imports: import sys
  import os
  import pyspark
  import pyspark.sql
  import orjson
  from typing import Optional
  from hail.expr.table_type import ttable
  from hail.fs.hadoop_fs import HadoopFS
  from hail.ir.renderer import CSERenderer
  from hail.table import Table
  from hailtop.aiotools.router_fs import RouterAsyncFS
  from hailtop.aiotools.validators import validate_file
  from .py4j_backend import Py4JBackend
  from .backend import local_jar_information
label_desc: Use image node_id 6 for calling the SparkBackend obj's underlying member method code with example usage: obj.to_spark(t, flatten) and returns: pyspark