code: def test_worker_with_neuron_core_accelerator_ids(
      ray_start_2_cpus_and_neuron_core_accelerator,
  ):
      num_nc = 2
      wg = WorkerGroup(
          num_workers=2,
          additional_resources_per_worker={
              ray_constants.NEURON_CORES: 1
          },
      )
      assert len(wg.workers) == 2
      time.sleep(1)
      assert ray_constants.NEURON_CORES not in ray.available_resources()
      wg.execute(lambda: 1)
      assert len(wg.workers) == 2
      for w in wg.workers:
          resource_ids = w.metadata.resource_ids
          assert len(resource_ids[ray_constants.GPU]) == 0
          neuron_core_ids = resource_ids[ray_constants.NEURON_CORES]
          for neuron_core_id in neuron_core_ids:
              assert neuron_core_id in [str(i) for i in range(num_nc)]
  
imports: import time
  from collections import defaultdict
  import pytest
  import ray
  import ray._private.ray_constants
  from ray.train._internal.worker_group import Worker, WorkerGroup, WorkerMetadata
label_desc: Use image node_id 9 for calling a global function with example usage: test_worker_with_neuron_core_accelerator_ids(ray_start_2_cpus_and_neuron_core_accelerator) without return types