code: def test_save_TreeShap(tree_explainer, rf_classifier, iris_data):
      X = iris_data["X_test"]
  
      exp0 = tree_explainer.explain(X)
  
      with tempfile.TemporaryDirectory() as temp_dir:
          tree_explainer.save(temp_dir)
          tree_explainer1 = load_explainer(
              temp_dir, predictor=rf_classifier
          )
  
          assert isinstance(tree_explainer1, TreeShap)
          assert tree_explainer.meta == tree_explainer1.meta
  
          exp1 = tree_explainer1.explain(X)
          assert exp0.meta == exp1.meta
  
          # TreeShap is deterministic
          assert_allclose(exp0.shap_values[0], exp1.shap_values[0])
  
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 28 for calling a global function with example usage: test_save_TreeShap(tree_explainer, rf_classifier, iris_data) without return types