code: def _set_up_input_artifacts(self, num_examples=2):
      example1 = standard_artifacts.Examples()
      example1.uri = self._ARTIFACT_URI_TEMPLATE.format(1)
      example1.split_names = artifact_utils.encode_split_names(
          ["train", "eval"]
      )
      if self._FILE_FORMAT is not None:
          example1.set_string_custom_property(
              "file_format", self._FILE_FORMAT
          )
      example1.set_string_custom_property(
          key="payload_format",
          value=example_gen_pb2.PayloadFormat.Name(
              self._PAYLOAD_FORMAT
          ),
      )
      artifacts = [example1]
      for idx in range(num_examples - 1):
          artifacts.append(copy.deepcopy(example1))
          artifacts[-1].uri = self._ARTIFACT_URI_TEMPLATE.format(
              idx + 2
          )
          io_utils.copy_dir(artifacts[0].uri, artifacts[-1].uri)
      self._example_artifacts = artifacts
  
imports: import copy
  import json
  import os
  import re
  import tempfile
  from unittest import mock
  from absl.testing import parameterized
  import apache_beam
  import tensorflow
  import tensorflow_data_validation
  import tensorflow_transform
  from tensorflow_transform.beam import tft_unit
  from tfx import types
  from tfx.components.testdata.module_file import transform_module
  from tfx.components.transform import executor
  from tfx.dsl.io import fileio
  from tfx.proto import example_gen_pb2
  from tfx.proto import transform_pb2
  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 proto_utils
label_desc: Use image node_id 4 for calling the ExecutorTest obj's underlying member method code with example usage: obj._set_up_input_artifacts(num_examples) without return types