code: def minimizer_Alpine02():
      """Return a lmfit Minimizer object for the Alpine02 function."""
  
      def residual_Alpine02(params):
          x0 = params["x0"].value
          x1 = params["x1"].value
          return np.prod(np.sqrt(x0) * np.sin(x0)) * np.prod(
              np.sqrt(x1) * np.sin(x1)
          )
  
      # create Parameters and set initial values and bounds
      pars = lmfit.Parameters()
      pars.add_many(
          ("x0", 1.0, True, 0.0, 10.0), ("x1", 1.0, True, 0.0, 10.0)
      )
  
      mini = lmfit.Minimizer(residual_Alpine02, pars)
      return mini
  
imports: import os
  import numpy
  import pytest
  import lmfit
label_desc: Use image node_id 1 for calling a global function with example usage: minimizer_Alpine02() and returns: mini, unknown