code: def test_parameters_deepcopy(parameters):
      """Tests for deepcopy of a Parameters class."""
      pars, _, _ = parameters
  
      deepcopy_pars = deepcopy(pars)
      assert isinstance(deepcopy_pars, lmfit.Parameters)
      assert deepcopy_pars == pars
  
      # check that we can add a symbol to the interpreter
      pars["b"].expr = "sin(1)"
      pars["b"].value = 10
      assert_allclose(pars["b"].value, np.sin(1))
      assert_allclose(pars._asteval.symtable["b"], np.sin(1))
  
      # check that the symbols in the interpreter are still the same after
      # deepcopying
      pars, exp_attr_values_A, exp_attr_values_B = parameters
      deepcopy_pars = deepcopy(pars)
  
      unique_symbols_pars = pars._asteval.user_defined_symbols()
      unique_symbols_copied = (
          deepcopy_pars._asteval.user_defined_symbols()
      )
      assert unique_symbols_copied == unique_symbols_pars
  
      for unique_symbol in unique_symbols_copied:
          if pars._asteval.symtable[unique_symbol] is not np.nan:
              assert (
                  pars._asteval.symtable[unique_symbol]
                  == deepcopy_pars._asteval.symtable[unique_symbol]
              )
  
imports: from copy import copy, deepcopy
  import os
  import pickle
  import numpy
  from numpy.testing import assert_allclose
  import pytest
  import lmfit
  from lmfit.models import VoigtModel
label_desc: Use image node_id 6 for calling a global function with example usage: test_parameters_deepcopy(parameters) without return types