code: def get_max_num_concurrent_tasks(spark_context, resource_profile):
      """Gets the current max number of concurrent tasks."""
      # pylint: disable=protected-access=
      ssc = spark_context._jsc.sc()
      if resource_profile is not None:
  
          def dummpy_mapper(_):
              pass
  
          # Runs a dummy spark job to register the `res_profile`
          spark_context.parallelize([1], 1).withResources(
              resource_profile
          ).map(dummpy_mapper).collect()
  
          return ssc.maxNumConcurrentTasks(
              resource_profile._java_resource_profile
          )
      else:
          return ssc.maxNumConcurrentTasks(
              ssc.resourceProfileManager().defaultResourceProfile()
          )
  
imports: import subprocess
  import os
  import sys
  import random
  import threading
  import collections
  import logging
  import time
label_desc: Use image node_id 9 for calling a global function with example usage: get_max_num_concurrent_tasks(spark_context, resource_profile) and returns: ssc, ssc