code: def test__plot_one_pd_num(explanation):
      feature, target_idx = 0, 0
  
      _, ax = plt.subplots()
      ax, _ = _plot_one_pd_num(
          exp=explanation,
          feature=feature,
          target_idx=target_idx,
          center=False,
          ax=ax,
      )
  
      # check x-label
      assert (
          ax.get_xlabel() == explanation.data["feature_names"][feature]
      )
  
      # check deciles on the x-axis
      assert_deciles(
          xsegments=ax.collections[0].get_segments(),
          expected_xdeciles=explanation.data["feature_deciles"][
              feature
          ],
      )
  
      # check pd and ice values
      assert_pd_ice_values(
          feature=feature,
          target_idx=target_idx,
          kind=explanation.meta["params"]["kind"],
          explanation=explanation,
          ax=ax,
      )
  
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 25 for calling a global function with example usage: test__plot_one_pd_num(explanation) without return types