code: def compare_result_field(x, y, tolerance):
      """compares the objects x and y, whether they be python immutable types,
      iterables or numerical arrays (within a given tolerance)
      """
      assert type(x) == type(y)
      if isinstance(x, np.ndarray):
          if np.issubdtype(x.dtype, np.number):
              return (_abs_difference(x, y) <= tolerance).all()
          return (x == y).all()
      if isinstance(x, (float, int, complex, bool)):
          return np.abs(x - y) <= tolerance
      return x == y
  
imports: import os
  import pytest
  import requests
  from modelkit import ModelLibrary, testing
  from modelkit.core.models.tensorflow_model import AsyncTensorflowModel, TensorflowModel, has_tensorflow
  from modelkit.core.settings import LibrarySettings
  from modelkit.testing import tf_serving_fixture
  from modelkit.utils.tensorflow import write_config
  from tests import TEST_DIR
  from tests.conftest import skip_unless
label_desc: Use image node_id 8 for calling a global function with example usage: compare_result_field(x, y, tolerance) and returns: unknown, unknown, unknown, unknown