code: def test_emcee_bounds_length(self):
      # the log-probability functions check if the parameters are
      # inside the bounds. Check that the bounds and parameters
      # are the right lengths for comparison. This can be done
      # if nvarys != nparams
      if not HAS_EMCEE:
          return True
      self.mini.params["amp"].vary = False
      self.mini.params["period"].vary = False
      self.mini.params["shift"].vary = False
  
      self.mini.emcee(steps=10)
  
imports: import sys
  import unittest
  import numpy
  from numpy import pi
  from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
  import pytest
  from scipy.optimize import rosen_der
  from uncertainties import ufloat
  from lmfit import Minimizer, Parameters, minimize
  from lmfit.lineshapes import gaussian
  from lmfit.minimizer import HAS_EMCEE, SCALAR_METHODS, MinimizerResult, coerce_float64
  from lmfit.models import SineModel
label_desc: Use image node_id 11 for calling the CommonMinimizerTest obj's underlying member method code with example usage: obj.test_emcee_bounds_length() and returns: True