code: def test_feature_names_and_types(regression_data):
      X, y = regression_data
  
      # Original feature names "A", "B", "C", "D"
      feature_names = ["FtA", "FtB", "FtC", "FtD"]
      feature_types = [
          "continuous",
          "continuous",
          "continuous",
          "continuous",
      ]
  
      ranked_pairs = measure_interactions(
          X, y, feature_names=feature_names, feature_types=feature_types
      )
      assert 6 == len(ranked_pairs)
  
imports: import pytest
  import numpy
  from math import isclose
  from sklearn.linear_model import LinearRegression, LogisticRegression
  from sklearn.dummy import DummyClassifier
  from ..tutils import synthetic_regression, synthetic_classification, synthetic_multiclass
  from interpret.utils import measure_interactions
label_desc: Use image node_id 14 for calling a global function with example usage: test_feature_names_and_types(regression_data) without return types