code: def model1(noise):
      mn_par = np.r_[1, 0, -1, 0]
      sc_par = np.r_[1, 1]
      sm_par = np.r_[0.5, 0.1]
  
      if noise:
          no_par = np.r_[0.25, 0.25]
      else:
          no_par = np.array([])
  
      return mn_par, sc_par, sm_par, no_par
  
file_path: statsmodels/statsmodels/regression/tests/test_processreg.py
imports: from statsmodels.compat.platform import PLATFORM_OSX
  from statsmodels.regression.process_regression import ProcessMLE, GaussianCovariance
  import numpy
  import pandas
  import pytest
  import collections
  import statsmodels.tools.numdiff
  from numpy.testing import assert_allclose, assert_equal
label_desc: Use image node_id 1 for calling a global function with example usage: model1(noise) and returns: mn_par,  sc_par,  sm_par,  no_par