code: def create_mean(self, prior=None, constraint=None):
      return ConstantMean(
          constant_prior=prior,
          constant_constraint=constraint,
          batch_shape=(self.__class__.batch_shape or torch.Size([])),
      )
  
imports: import math
  import pickle
  import unittest
  import warnings
  from collections import OrderedDict
  import torch
  import gpytorch
  from gpytorch.constraints import GreaterThan
  from gpytorch.means import ConstantMean
  from gpytorch.priors import NormalPrior
  from gpytorch.test.base_mean_test_case import BaseMeanTestCase
  from gpytorch.utils.warnings import OldVersionWarning
label_desc: Use image node_id 1 for calling the TestConstantMean obj's underlying member method code with example usage: obj.create_mean(prior, constraint) and returns: ConstantMean