code: def test_distance_clip(
      reference_perturbed: Tuple[ep.Tensor, ep.Tensor], p: float
  ) -> None:
      reference, perturbed = reference_perturbed
  
      ds = distances[p](reference, perturbed).numpy()
      epsilon = np.median(ds)
      too_large = ds > epsilon
  
      desired = np.where(too_large, epsilon, ds)
  
      perturbed = distances[p].clip_perturbation(
          reference, perturbed, epsilon
      )
      actual = distances[p](reference, perturbed).numpy()
  
      np.testing.assert_allclose(actual, desired)
  
file_path: foolbox/tests/test_distances.py
imports: from typing import Tuple, Any, Dict, Callable, TypeVar
  import numpy
  import pytest
  import foolbox
  import eagerpy
label_desc: Use image node_id 7 for calling a global function with example usage: test_distance_clip(reference_perturbed, p) without return types