code: def test_specific_results(regression_data):
      X, y = regression_data
  
      baseline = dict(measure_interactions(X, y))
      assert 6 == len(baseline)
  
      specific = dict(
          measure_interactions(X, y, interactions=[(2, 1), (2, 0)])
      )
      assert 2 == len(specific)
  
      assert isclose(specific[(2, 1)], baseline[(1, 2)])
      assert isclose(specific[(2, 0)], baseline[(0, 2)])
  
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 19 for calling a global function with example usage: test_specific_results(regression_data) without return types