code: def params_lmfit():
      """Return lmfit.Parameters class with initial values and bounds."""
      params = lmfit.Parameters()
      params.add_many(
          ("a", 2, False),
          ("b", 3, False),
          ("c", 7, False),
          ("d", 8, False),
          ("e", 9, False),
          ("f", 10, False),
          ("g", 44, False),
          ("h", -1, False),
          ("i", 2, False),
          ("j", 26, False),
          ("k", 1, False),
          ("l", -2, False),
          ("scale", 0.5, False),
          ("x", -4.0, True, -4.0, 4.0, None, None),
          ("y", -2.0, True, -2.0, 2.0, None, None),
      )
      return params
  
imports: import pickle
  import numpy
  from numpy.testing import assert_allclose, assert_equal
  import pytest
  from scipy import optimize
  import lmfit
label_desc: Use image node_id 3 for calling a global function with example usage: params_lmfit() and returns: params