code: def _get_text_from_test_data(self, filename: str) -> str:
      filepath = os.path.join(
          os.path.dirname(__file__), "testdata", filename
      )
      return fileio.open(filepath, "r").read()
  
imports: import json
  import os
  from typing import Any, Mapping, Sequence
  from unittest import mock
  from kfp.pipeline_spec import pipeline_spec_pb2
  import tensorflow
  from tfx import version
  from tfx.components.evaluator import constants
  from tfx.components.evaluator import executor
  from tfx.dsl.io import fileio
  from tfx.orchestration.kubeflow.v2.container import kubeflow_v2_run_executor
  from tfx.types import artifact
  from tfx.types import artifact_utils
  from tfx.types import standard_artifacts
  from tfx.types import standard_component_specs
  from tfx.utils import io_utils
  from tfx.utils import name_utils
  from tfx.utils import test_case_utils
  from google.protobuf import struct_pb2
  from google.protobuf import json_format
label_desc: Use image node_id 2 for calling the KubeflowV2RunExecutorTest obj's underlying member method code with example usage: obj._get_text_from_test_data(filename) and returns: fileio