code: def full_taxi_pipeline() -> tfx.dsl.Pipeline:
      """Returns a full taxi pipeline under test."""
      pipeline_components = create_pipeline_components(
          pipeline_root=_TEST_PIPELINE_ROOT,
          transform_module=_TEST_MODULE_FILE_LOCATION,
          trainer_module=_TEST_MODULE_FILE_LOCATION,
          csv_input_location=_TEST_INPUT_DATA,
      )
  
      return tfx.dsl.Pipeline(
          pipeline_name=_TEST_FULL_PIPELINE_NAME,
          pipeline_root=_TEST_PIPELINE_ROOT,
          components=pipeline_components,
      )
  
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 7 for calling a global function with example usage: full_taxi_pipeline() and returns: tfx