code: def test_outliers():
      np.random.seed(0)
      in_data = np.random.randn(100)
      in_data[0] += 10
  
      assert is_outlier(in_data) == 1
  
file_path: nipype/nipype/algorithms/tests/test_confounds.py
imports: import os
  import pytest
  from nipype.testing import example_data
  from nipype.algorithms.confounds import FramewiseDisplacement, ComputeDVARS, is_outlier
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: test_outliers() without return types