code: def test_max_bins_and_binning_options(regression_data):
      X, y = regression_data
  
      max_interaction_bins = 64
  
      feature_types = [None] * X.shape[1]
      feature_types[0] = "uniform"
  
      ranked_pairs = measure_interactions(
          X,
          y,
          max_interaction_bins=max_interaction_bins,
          feature_types=feature_types,
      )
      assert 6 == len(ranked_pairs)
  
      feature_types[0] = "rounded_quantile"
  
      ranked_pairs = measure_interactions(
          X,
          y,
          max_interaction_bins=max_interaction_bins,
          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 15 for calling a global function with example usage: test_max_bins_and_binning_options(regression_data) without return types