code: def ray_start_2_cpus():
      address_info = ray.init(num_cpus=2)
      yield address_info
      ray.shutdown()
  
imports: import math
  import os
  import tempfile
  import time
  from unittest.mock import patch
  import pytest
  import ray
  import ray._private.ray_constants
  from ray import train
  from ray.air._internal.util import StartTraceback
  from ray.tests.conftest import pytest_runtest_makereport
  from ray.train import DataConfig
  from ray.train._internal.backend_executor import BackendExecutor, InactiveWorkerGroupError, TrainBackendError, TrainingWorkerError
  from ray.train._internal.storage import StorageContext
  from ray.train._internal.worker_group import WorkerGroup, WorkerMetadata
  from ray.train.backend import Backend, BackendConfig
  from ray.train.constants import ENABLE_SHARE_CUDA_VISIBLE_DEVICES_ENV, ENABLE_SHARE_NEURON_CORES_ACCELERATOR_ENV, TRAIN_ENABLE_WORKER_SPREAD_ENV
  from ray.train.tensorflow import TensorflowConfig
  from ray.train.torch import TorchConfig
  from ray.util.placement_group import get_current_placement_group
  from ray.util.scheduling_strategies import PlacementGroupSchedulingStrategy
label_desc: Use image node_id 1 for calling a global function with example usage: ray_start_2_cpus() without return types