code: def testToFromComponents(
      self,
      initial_value=None,
      shape=None,
      dtype=dtypes.float32,
      trainable=True,
  ):
      var = resource_variable_ops.ResourceVariable(
          initial_value=initial_value,
          shape=shape,
          dtype=dtype,
          trainable=trainable,
      )
      if not context.executing_eagerly():
          self.evaluate(var.initializer)
  
      spec = resource_variable_ops.VariableSpec.from_value(var)
      components = spec._to_components(var)
      self.assertIsInstance(components, list)
      self.assertLen(components, 1)
      self.assertIs(components[0], var.handle)
      rebuilt_var = spec._from_components(components)
      self.assertAllEqual(rebuilt_var.read_value(), var.read_value())
      self.assertEqual(rebuilt_var.trainable, trainable)
  
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 4 for calling the VariableSpecTest obj's underlying member method code with example usage: obj.testToFromComponents(initial_value, shape, dtype, trainable) without return types