code: def _training_range(self, *args, **kwargs):
      return test_utils.strict_run_resolver_op(
          ops.TrainingRange,
          args=args,
          kwargs=kwargs,
          store=self.store,
      )
  
imports: from typing import List
  import tensorflow
  from tfx import types
  from tfx.dsl.input_resolution import resolver_op
  from tfx.dsl.input_resolution.ops import ops
  from tfx.dsl.input_resolution.ops import test_utils
  from tfx.orchestration.portable.input_resolution import exceptions
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 for calling the TrainingRangeOpTest obj's underlying member method code with example usage: obj._training_range() and returns: test_utils