use xfail instead of skip

Author: aktech

tensorflow_data_validation/api/validation_api_test.py

@@ -3179,7 +3179,7 @@ def test_identify_anomalous_examples(self, examples, schema_text,
         "test_identify_anomalous_examples_no_anomalies",
         "test_identify_anomalous_examples_different_anomaly_reasons"
     ]:
-      pytest.skip("PR 260 This test fails and needs to be fixed.")
+        pytest.xfail(reason="PR 260 This test fails and needs to be fixed. ")
 
     schema = text_format.Parse(schema_text, schema_pb2.Schema())
     options = stats_options.StatsOptions(schema=schema)

tensorflow_data_validation/statistics/generators/mutual_information_test.py

@@ -1533,7 +1533,7 @@ def test_ranklab_mi(self, column_partitions):
           "test_ranklab_mi1",
           "test_ranklab_mi2",
     ]:
-      pytest.skip("PR 260 This test fails and needs to be fixed.")
+        pytest.xfail(reason="PR 260 This test fails and needs to be fixed. ")
     expected_result = [
         _get_test_stats_with_mi([
             types.FeaturePath(["fa"]),

tensorflow_data_validation/statistics/generators/partitioned_stats_generator_test.py

@@ -338,7 +338,7 @@ def test_sample_partition_combine(self, partitioned_record_batches, expected,
         "test_sample_partition_combine_empty_partition",
         "test_sample_partition_combine_partition_of_empty_rb",
       ]:
-      pytest.skip("PR 260 This test fails and needs to be fixed.")
+        pytest.xfail(reason="PR 260 This test fails and needs to be fixed. ")
     np.random.seed(TEST_SEED)
     p = beam.Pipeline()
     result = (

tensorflow_data_validation/utils/feature_partition_util_test.py

@@ -387,7 +387,7 @@ def test_splits_statistics(
         "test_splits_statistics_many_partitions",
         "test_splits_statistics_two_partitions"
     ]:
-      pytest.skip("PR 260 This test fails and needs to be fixed.")
+      pytest.xfail(reason="PR 260 This test fails and needs to be fixed. ")
     statistics = list(
         text_format.Parse(s, statistics_pb2.DatasetFeatureStatisticsList())
         for s in statistics)