code: def test_java_object_gets_detached(self):
      df = self.spark.createDataFrame(
          [
              (1.0, 2.0, Vectors.dense(1.0)),
              (0.0, 2.0, Vectors.sparse(1, [], [])),
          ],
          ["label", "weight", "features"],
      )
      lr = LinearRegression(
          maxIter=1,
          regParam=0.0,
          solver="normal",
          weightCol="weight",
          fitIntercept=False,
      )
  
      model = lr.fit(df)
      summary = model.summary
  
      self.assertIsInstance(model, JavaWrapper)
      self.assertIsInstance(summary, JavaWrapper)
      self.assertIsInstance(model, JavaParams)
      self.assertNotIsInstance(summary, JavaParams)
  
      error_no_object = (
          "Target Object ID does not exist for this gateway"
      )
  
      self.assertIn("LinearRegression_", model._java_obj.toString())
      self.assertIn(
          "LinearRegressionTrainingSummary",
          summary._java_obj.toString(),
      )
  
      model.__del__()
  
      def condition():
          with self.assertRaisesRegex(
              py4j.protocol.Py4JError, error_no_object
          ):
              model._java_obj.toString()
          self.assertIn(
              "LinearRegressionTrainingSummary",
              summary._java_obj.toString(),
          )
          return True
  
      eventually(timeout=10, catch_assertions=True)(condition)()
  
      try:
          summary.__del__()
      except BaseException:
          pass
  
      def condition():
          with self.assertRaisesRegex(
              py4j.protocol.Py4JError, error_no_object
          ):
              model._java_obj.toString()
          with self.assertRaisesRegex(
              py4j.protocol.Py4JError, error_no_object
          ):
              summary._java_obj.toString()
          return True
  
      eventually(timeout=10, catch_assertions=True)(condition)()
  
file_path: spark/python/pyspark/ml/tests/test_wrapper.py
imports: import unittest
  import py4j
  from pyspark.ml.linalg import DenseVector, Vectors
  from pyspark.ml.regression import LinearRegression
  from pyspark.ml.wrapper import _java2py, _py2java, JavaParams, JavaWrapper
  from pyspark.testing.mllibutils import MLlibTestCase
  from pyspark.testing.mlutils import SparkSessionTestCase
  from pyspark.testing.utils import eventually
label_desc: Use image node_id 1 for calling the JavaWrapperMemoryTests obj's underlying member method code with example usage: obj.test_java_object_gets_detached() and returns: True, True