class_docstr: Dummy ContainerSpec component.
class_docstr_tok: ["Dummy","ContainerSpec","component","."]
code: def __init__(self, input1, param1, output1, instance_name=None):
      spec = TransformerSpec(
          input1=input1,
          output1=output1,
          param1=param1,
      )
      super().__init__(spec=spec)
      if instance_name:
          self._id = "{}.{}".format(
              self.__class__.__name__, instance_name
          )
      else:
          self._id = self.__class__.__name__
  
imports: import datetime
  import os
  from typing import List
  from kfp.pipeline_spec import pipeline_spec_pb2
  import tensorflow_model_analysis
  from tfx import v1
  from tfx.components.example_gen import utils
  from tfx.components.trainer.executor import Executor
  from tfx.dsl.component.experimental import executor_specs
  from tfx.dsl.component.experimental import placeholders
  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.types import channel_utils
  from tfx.types import component_spec
  from tfx.types.experimental import simple_artifacts
  from tfx.utils import proto_utils
  from google.protobuf import message
label_desc: Use image node_id 1 to create a new DummyContainerSpecComponent object from inherited base classes: base_component with example: obj = DummyContainerSpecComponent(input1, param1, output1, instance_name)