code: def testShuffleResolverFn_E2E(self):
      channel = canned_resolver_functions.shuffle(
          channel_utils.artifact_query(
              artifact_type=test_utils.DummyArtifact
          )
      )
      pipeline_node = test_utils.compile_inputs({"x": channel})
  
      spans = [1, 2, 3, 4]
      versions = [0, 0, 0, 0]
      self._insert_artifacts_into_mlmd(spans, versions)
  
      resolved = inputs_utils.resolve_input_artifacts(
          pipeline_node=pipeline_node, metadata_handle=self.mlmd_handle
      )
      self.assertNotEmpty(
          resolved
      )  # Non-empty resolution implies Trigger.
  
      actual_spans = sorted(
          [
              r.mlmd_artifact.properties["span"].int_value
              for r in resolved[0]["x"]
          ]
      )
      self.assertListEqual(actual_spans, spans)
  
imports: from typing import Sequence
  import tensorflow
  from tfx import types
  from tfx.dsl.control_flow import for_each
  from tfx.dsl.input_resolution import canned_resolver_functions
  from tfx.dsl.input_resolution import resolver_op
  from tfx.dsl.input_resolution.ops import test_utils
  from tfx.orchestration import pipeline
  from tfx.orchestration.portable import inputs_utils
  from tfx.orchestration.portable.input_resolution import exceptions
  from tfx.types import channel_utils
  from tfx.types import resolved_channel
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 13 for calling the CannedResolverFunctionsTest obj's underlying member method code with example usage: obj.testShuffleResolverFn_E2E() without return types