code: def loglike_function(model, profile_fe, has_fe):
      # Returns a function that evaluates the negative log-likelihood for
      # the given model.
  
      def f(x):
          params = MixedLMParams.from_packed(
              x, model.k_fe, model.k_re, model.use_sqrt, has_fe=has_fe
          )
          return -model.loglike(params, profile_fe=profile_fe)
  
      return f
  
imports: from statsmodels.compat.platform import PLATFORM_OSX
  import os
  import csv
  import warnings
  import numpy
  import pandas
  from scipy import sparse
  import pytest
  from statsmodels.regression.mixed_linear_model import MixedLM, MixedLMParams, _smw_solver, _smw_logdet
  from numpy.testing import assert_almost_equal, assert_equal, assert_allclose, assert_
  from statsmodels.base import _penalties
  import statsmodels.tools.numdiff
  from .results import lme_r_results
label_desc: Use image node_id 1 for calling a global function with example usage: loglike_function(model, profile_fe, has_fe) and returns: f, unknown