code: def test_dynamic_generator_reconstruction(
      ray_start_cluster, num_returns_type
  ):
      config = {
          "health_check_failure_threshold": 10,
          "health_check_period_ms": 100,
          "health_check_initial_delay_ms": 0,
          "max_direct_call_object_size": 100,
          "task_retry_delay_ms": 100,
          "object_timeout_milliseconds": 200,
          "fetch_warn_timeout_milliseconds": 1000,
      }
      cluster = ray_start_cluster
      # Head node with no resources.
      cluster.add_node(
          num_cpus=0,
          _system_config=config,
          enable_object_reconstruction=True,
      )
      ray.init(address=cluster.address)
      # Node to place the initial object.
      node_to_kill = cluster.add_node(
          num_cpus=1, object_store_memory=10**8
      )
      cluster.wait_for_nodes()
  
      @ray.remote(num_returns=num_returns_type)
      def dynamic_generator(num_returns):
          for i in range(num_returns):
              # Random ray.put to make sure it's okay to interleave these with
              # the dynamic returns.
              if np.random.randint(2) == 1:
                  ray.put(
                      np.ones(1_000_000, dtype=np.int8)
                      * np.random.randint(100)
                  )
              yield np.ones(1_000_000, dtype=np.int8) * i
  
      @ray.remote
      def fetch(x):
          return x[0]
  
      # Test recovery of all dynamic objects through re-execution.
      gen = ray.get(dynamic_generator.remote(10))
      cluster.remove_node(node_to_kill, allow_graceful=False)
      node_to_kill = cluster.add_node(
          num_cpus=1, object_store_memory=10**8
      )
      refs = list(gen)
  
      for i, ref in enumerate(refs):
          print("fetching ", i)
          assert ray.get(fetch.remote(ref)) == i
  
      cluster.add_node(
          num_cpus=1,
          resources={"node2": 1},
          object_store_memory=10**8,
      )
  
      # Fetch one of the ObjectRefs to another node. We should try to reuse this
      # copy during recovery.
      ray.get(fetch.options(resources={"node2": 1}).remote(refs[-1]))
      cluster.remove_node(node_to_kill, allow_graceful=False)
      for i, ref in enumerate(refs):
          assert ray.get(fetch.remote(ref)) == i
          del ref
  
      del refs
      del gen
      assert_no_leak()
  
imports: import pytest
  import numpy
  import sys
  import time
  import gc
  from unittest.mock import Mock
  import ray
  from ray.util.client.ray_client_helpers import ray_start_client_server_for_address
  from ray._private.client_mode_hook import enable_client_mode
  from ray.tests.conftest import call_ray_start_context
label_desc: Use image node_id 8 for calling a global function with example usage: test_dynamic_generator_reconstruction(ray_start_cluster, num_returns_type) and returns: x