code: def test_limit_and_take(self):
      df = self.spark.range(1, 1000, numPartitions=10)
  
      def assert_runs_only_one_job_stage_and_task(job_group_name, f):
          tracker = self.sc.statusTracker()
          self.sc.setJobGroup(job_group_name, description="")
          f()
          jobs = tracker.getJobIdsForGroup(job_group_name)
          self.assertEqual(1, len(jobs))
          stages = tracker.getJobInfo(jobs[0]).stageIds
          self.assertEqual(1, len(stages))
          self.assertEqual(1, tracker.getStageInfo(stages[0]).numTasks)
  
      # Regression test for SPARK-10731: take should delegate to Scala implementation
      assert_runs_only_one_job_stage_and_task(
          "take", lambda: df.take(1)
      )
      # Regression test for SPARK-17514: limit(n).collect() should the perform same as take(n)
      assert_runs_only_one_job_stage_and_task(
          "collect_limit", lambda: df.limit(1).collect()
      )
  
imports: import os
  import shutil
  import sys
  import tempfile
  import unittest
  from importlib import reload
  import py4j
  from pyspark import SparkContext, SQLContext
  from pyspark.sql import Row, SparkSession
  from pyspark.sql.types import StructType, StringType, StructField
  from pyspark.testing.utils import ReusedPySparkTestCase
label_desc: Use image node_id 5 for calling the HiveContextSQLTests obj's underlying member method code with example usage: obj.test_limit_and_take() without return types