code: def test_missing_value_ignored(df):
      """Test if PSI are computed when missing values are present in the dataframe."""
      data = df.copy()
      data["var_3"].iloc[15] = np.nan
  
      var_col = [col for col in data if "var" in col]
  
      transformer = DropHighPSIFeatures(missing_values="ignore")
      transformed = transformer.fit_transform(data)
  
      pd.testing.assert_frame_equal(transformed, data[var_col])
  
imports: from datetime import date
  import math
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import make_classification
  from feature_engine.selection import DropHighPSIFeatures
label_desc: Use image node_id 11 for calling a global function with example usage: test_missing_value_ignored(df) without return types