code: def test_construct_parameter_from_existing_parameter_check_name() -> (
      None
  ):
      transform = tfp.bijectors.Sigmoid(
          tf.constant(0.0, dtype=tf.float64),
          tf.constant(2.0, dtype=tf.float64),
      )
      initial_parameter = gpflow.Parameter(
          [1.2, 1.1], transform=transform
      )
      new_parameter = gpflow.Parameter(initial_parameter)
  
      assert new_parameter.name == transform.name
  
imports: import tempfile
  from typing import Sequence
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  import gpflow
  from gpflow.base import AnyNDArray, PriorOn, TensorData
  from gpflow.config import default_float
  from gpflow.utilities import positive, triangular
label_desc: Use image node_id 16 for calling a global function with example usage: test_construct_parameter_from_existing_parameter_check_name() without return types