code: def testEquality(self):
      spec = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.float32, False
      )
      spec2 = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.float32, False
      )
      self.assertEqual(spec, spec2)
      # Test alias_id=None
      spec3 = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.float32, False, 1
      )
      self.assertNotEqual(spec, spec3)
      spec4 = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.float32, False, 1
      )
      self.assertEqual(spec3, spec4)
      # Test shape
      spec5 = resource_variable_ops.VariableSpec(
          [1, 5], dtypes.float32, False, 1
      )
      self.assertNotEqual(spec4, spec5)
      # Test dtype
      spec6 = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.int32, False, 1
      )
      self.assertNotEqual(spec4, spec6)
      # Test trainable
      spec7 = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.float32, True, 1
      )
      self.assertNotEqual(spec7, spec4)
      # Test alias_id
      spec8 = resource_variable_ops.VariableSpec(
          [1, 3], dtypes.float32, False, 2
      )
      self.assertNotEqual(spec8, spec4)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 12 for calling the VariableSpecTest obj's underlying member method code with example usage: obj.testEquality() without return types