code: def test__sample_ice_error_negative(explanation):
      """Test if an error is raise when `n_ice` is negative."""
      n_samples, n_values = 10, 5
      ice_values = np.random.randn(n_values, n_samples)
      with pytest.raises(ValueError) as err:
          _sample_ice(ice_values=ice_values, n_ice=-2)
      assert "`n_ice` must be an integer grater than 0." == str(
          err.value
      )
  
imports: import re
  import sys
  from copy import deepcopy
  from typing import Dict, List, Optional, Tuple, Union
  from packaging import version
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  from pytest_lazyfixture import lazy_fixture
  from sklearn.base import BaseEstimator
  from sklearn.datasets import make_classification
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.exceptions import NotFittedError
  from sklearn.inspection import partial_dependence
  from sklearn.model_selection import train_test_split
  from sklearn.multioutput import MultiOutputClassifier
  from sklearn.pipeline import Pipeline
  from sklearn.utils import Bunch, shuffle
  import sklearn
  from alibi.api.defaults import DEFAULT_DATA_PD, DEFAULT_META_PD
  from alibi.api.interfaces import Explanation
  from alibi.explainers import PartialDependence, TreePartialDependence, plot_pd
  from alibi.explainers.partial_dependence import _plot_one_pd_cat, _plot_one_pd_num, _plot_two_pd_cat_cat, _plot_two_pd_num_cat, _plot_two_pd_num_num, _process_pd_ice, _sample_ice
label_desc: Use image node_id 42 for calling a global function with example usage: test__sample_ice_error_negative(explanation) without return types