code: def test_scale_samples_upper_eq_lower():
      """
      Raise ValueError if upper bound lower equal to lower bound
      """
      params = np.array([[0, 0], [0.1, 0.1], [0.2, 0.2]])
      bounds = [[10, 10], [-10, 10]]
      with raises(ValueError):
          _scale_samples(params, bounds)
  
imports: from pytest import raises
  from numpy.testing import assert_equal, assert_allclose
  import numpy
  from scipy import stats
  import pytest
  from SALib.util import read_param_file, _scale_samples, _unscale_samples, compute_groups_matrix
  from SALib.sample import latin
label_desc: Use image node_id 13 for calling a global function with example usage: test_scale_samples_upper_eq_lower() without return types