code: def test_deepcopy():
      class MyModule(MutableModule):
          def __init__(self, a, b):
              super().__init__()
              self.a = nn.Linear(3, a)
              self.b = nn.Linear(3, b)
              self.mutable = self.add_mutable(Categorical([0, 1]))
  
              self.flag = ensure_frozen(self.mutable)
  
          def forward(self, x):
              if self.flag:
                  return self.a(x)
              else:
                  return self.b(x)
  
      with frozen_context():
          net = MyModule(5, 7)
      net2 = copy.deepcopy(net)
      assert net2.a.out_features == 5
      assert net2.b.out_features == 7
      assert net2.flag == net.flag
  
imports: import copy
  import pytest
  import torch
  import nni
  from torch import nn
  from nni.common.serializer import is_traceable
  from nni.mutable import Categorical, ExpressionConstraint, ensure_frozen, frozen_context, label_scope, auto_label, SampleMissingError
  from nni.mutable.mutable import _mutable_equal
  from nni.nas.nn.pytorch import ModelSpace, MutableModule, ParametrizedModule
  from nni.nas.space import model_context
label_desc: Use image node_id 18 for calling a global function with example usage: test_deepcopy() and returns: self, self