code: def test_save_AnchorImage(ai_explainer, mnist_predictor):
      X = np.random.rand(28, 28, 1)
  
      exp0 = ai_explainer.explain(X)
  
      with tempfile.TemporaryDirectory() as temp_dir:
          ai_explainer.save(temp_dir)
          ai_explainer1 = load_explainer(
              temp_dir, predictor=mnist_predictor
          )
  
          assert isinstance(ai_explainer1, AnchorImage)
          assert ai_explainer.meta == ai_explainer1.meta
  
          exp1 = ai_explainer1.explain(X)
          assert exp0.meta == exp1.meta
  
imports: import numbers
  import sys
  import numpy
  from numpy.testing import assert_allclose
  import pytest
  from pytest_lazyfixture import lazy_fixture
  from sklearn.linear_model import LogisticRegression
  from sklearn.ensemble import RandomForestClassifier
  import tempfile
  import tensorflow
  from typing import List, Union
  from alibi.explainers import ALE, AnchorImage, AnchorTabular, AnchorText, IntegratedGradients, KernelShap, TreeShap, CounterfactualRLTabular, GradientSimilarity
  from alibi.explainers.integrated_gradients import LayerState
  from alibi.saving import load_explainer
  from alibi_testing.data import get_adult_data, get_iris_data, get_movie_sentiment_data
  import alibi_testing
  from alibi.utils.download import spacy_model
  from alibi.explainers.tests.utils import predict_fcn
label_desc: Use image node_id 24 for calling a global function with example usage: test_save_AnchorImage(ai_explainer, mnist_predictor) without return types