code: def __init__(self, spec: types.ComponentSpec):
      super().__init__(spec=spec)
      self._id = spec.__class__.__name__.replace(
          "_FakeComponentSpec", ""
      ).lower()
  
imports: from unittest import mock
  import tensorflow
  from tfx import types
  from tfx.dsl.components.base import base_component
  from tfx.dsl.components.base import base_executor
  from tfx.dsl.components.base import base_node
  from tfx.dsl.components.base import executor_spec
  from tfx.orchestration import pipeline
  from tfx.orchestration.experimental.kubernetes import kubernetes_dag_runner
  from tfx.types.component_spec import ChannelParameter
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 to create a new _FakeComponent object from inherited base classes: base_component with example: obj = _FakeComponent(spec)