code: def test_validate_examples_in_csv_multiple_files(self):
      (
          data_location,
          column_names,
          options,
          expected_result,
      ) = self._get_anomalous_csv_test(
          delimiter=",",
          output_column_names=True,
          generate_single_file=False,
          has_schema=True,
      )
  
      result = validation_lib.validate_examples_in_csv(
          data_location=data_location,
          stats_options=options,
          column_names=column_names,
          delimiter=",",
      )
      compare_fn = (
          test_util.make_dataset_feature_stats_list_proto_equal_fn(
              self, expected_result
          )
      )
      compare_fn([result])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl.testing import absltest
  from absl.testing import parameterized
  import pandas
  import tensorflow
  from tensorflow_data_validation.statistics import stats_options
  from tensorflow_data_validation.utils import test_util
  from tensorflow_data_validation.utils import validation_lib
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 9 for calling the ValidationLibTest obj's underlying member method code with example usage: obj.test_validate_examples_in_csv_multiple_files() without return types