docstr: Test the entrypoint with toy inputs.
docstr_tok: ["Test","the","entrypoint","with","toy","inputs","."]
code: def testEntryPoint(self):
      """Test the entrypoint with toy inputs."""
      # Test both current version metadata and legacy property/custom property
      # metadata styles.
      for serialized_metadata in [
          self._serialized_metadata,
          self._serialized_metadata_legacy,
      ]:
          with _ArgsCapture() as args_capture:
              args = [
                  "--executor_class_path",
                  name_utils.get_full_name(_FakeExecutor),
                  "--json_serialized_invocation_args",
                  serialized_metadata,
              ]
              kubeflow_v2_run_executor.main(
                  kubeflow_v2_run_executor._parse_flags(args)
              )
              # TODO(b/131417512): Add equal comparison to types.Artifact class so we
              # can use asserters.
              self.assertEqual(
                  set(args_capture.input_dict.keys()),
                  set(["input_1", "input_2"]),
              )
              self.assertEqual(
                  set(args_capture.output_dict.keys()),
                  set(
                      ["output", standard_component_specs.BLESSING_KEY]
                  ),
              )
              self.assertEqual(
                  args_capture.exec_properties, _EXEC_PROPERTIES
              )
  
          # Test what's been output.
          with open(_TEST_OUTPUT_METADATA_JSON) as output_meta_json:
              actual_output = json.dumps(
                  json.load(output_meta_json), indent=2, sort_keys=True
              )
  
          self.assertEqual(actual_output, self._expected_output)
          os.remove(_TEST_OUTPUT_METADATA_JSON)
  
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 3 for calling the KubeflowV2RunExecutorTest obj's underlying member method code with example usage: obj.testEntryPoint() without return types