code: def __init__(
      self,
      spec: types.ComponentSpec = None,
      folds: int = None,
      input: types.Channel = None,
  ):  # pylint: disable=redefined-builtin
      if not spec:
          output = types.Channel(type=_OutputArtifact)
          spec = _BasicComponentSpec(
              folds=folds, input=input, output=output
          )
      super().__init__(spec=spec)
  
imports: 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 executor_spec
  from tfx.proto import example_gen_pb2
  from tfx.types import component_spec
  from tfx.types.system_executions import SystemExecution
  from tfx.utils import json_utils
label_desc: Use image node_id 1 to create a new _BasicComponent object from inherited base classes: base_component with example: obj = _BasicComponent(spec, folds, input)