another round

tests/datasource/test_sparkdf_datasource.py

@@ -354,9 +354,8 @@ def test_invalid_reader_sparkdf_datasource(tmp_path_factory, test_backends):
 
 @pytest.mark.spark
 def test_spark_datasource_processes_dataset_options(
-    test_folder_connection_path_csv, test_backends, empty_data_context
+    test_folder_connection_path_csv, test_backends
 ):
-    context = empty_data_context
     if "SparkDFDataset" not in test_backends:
         pytest.skip("Spark has not been enabled, so this test must be skipped.")
     datasource = SparkDFDatasource(
@@ -373,9 +372,7 @@ def test_spark_datasource_processes_dataset_options(
     )
     batch_kwargs["dataset_options"] = {"caching": False, "persist": False}
     batch = datasource.get_batch(batch_kwargs)
-    validator = BridgeValidator(
-        batch, ExpectationSuite(expectation_suite_name="foo", data_context=context)
-    )
+    validator = BridgeValidator(batch, ExpectationSuite(expectation_suite_name="foo"))
     dataset = validator.get_dataset()
     assert dataset.caching is False
     assert dataset._persist is False