code: def testResolveInputArtifacts_FilterOutInsufficient(self):
      self._setup_pipeline_for_input_resolver_test()
      self._my_transform.inputs.inputs["examples_1"].min_count = 2
  
      with self.assertRaisesRegex(
          exceptions.InsufficientInputError,
          r"inputs\[examples_1\] has min_count = 2 but only got 1",
      ):
          inputs_utils.resolve_input_artifacts(
              pipeline_node=self._my_transform,
              metadata_handle=self._metadata_handle,
          )
  
imports: import collections
  import os
  import tensorflow
  from tfx import types
  from tfx.dsl.compiler import placeholder_utils
  from tfx.orchestration import metadata
  from tfx.orchestration.portable import data_types
  from tfx.orchestration.portable import execution_publish_utils
  from tfx.orchestration.portable import inputs_utils
  from tfx.orchestration.portable.input_resolution import exceptions
  from tfx.orchestration.portable.mlmd import context_lib
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.utils import test_case_utils
  from google.protobuf import text_format
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 7 for calling the InputsUtilsTest obj's underlying member method code with example usage: obj.testResolveInputArtifacts_FilterOutInsufficient() without return types