TypeError: 'NoneType' object is not iterable
self = <apache_beam.io.gcp.bigquery_test.TestWriteToBigQuery testMethod=test_streaming_triggering_frequency_with_auto_sharding>

    def test_streaming_triggering_frequency_with_auto_sharding(self):
      def noop(table, **kwargs):
        return []
    
      client = mock.Mock()
      client.insert_rows_json = mock.Mock(side_effect=noop)
      opt = StandardOptions()
      opt.streaming = True
>     with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1062: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8e8dbdd0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8ef05b20>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f883e3f80>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_always_0>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1668: in test_insert_rows_json_errors_retry_always
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8dcb9790>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8c777290>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f8d673d10>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_always_1>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1668: in test_insert_rows_json_errors_retry_always
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f88408d10>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8c8e49e0>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f883e0140>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_always_2>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1668: in test_insert_rows_json_errors_retry_always
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f882697f0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f88140140>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f707a2bd0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_never_0>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1762: in test_insert_rows_json_errors_retry_never
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f70447d10>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f88185730>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f70193f50>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_never_1>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1762: in test_insert_rows_json_errors_retry_never
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f880ee270>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f884088c0>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f701e29f0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_never_2>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1762: in test_insert_rows_json_errors_retry_never
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f7039ef30>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f706e17f0>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f694ffef0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_never_3>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1762: in test_insert_rows_json_errors_retry_never
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f909aee40>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f70372000>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f7067b140>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_on_transient_error_0>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1922: in test_insert_rows_json_errors_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f70673cb0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f7039c830>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f88185b20>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_on_transient_error_1>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1922: in test_insert_rows_json_errors_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8ceda1b0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f880ef5f0>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f8827aea0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_on_transient_error_2>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1922: in test_insert_rows_json_errors_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8cd1eb10>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8dd075f0>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f8e2282f0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_on_transient_error_3>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1922: in test_insert_rows_json_errors_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8c675640>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8c776780>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f707a0ad0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_on_transient_error_4>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1922: in test_insert_rows_json_errors_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8ced8470>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8f528950>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f88269a30>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_errors_retry_on_transient_error_5>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1922: in test_insert_rows_json_errors_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner', options=opt) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8845d250>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f707d53d0>
options = <apache_beam.options.pipeline_options.StandardOptions object at 0x788f88175580>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_always_0>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1302: in test_insert_rows_json_exception_retry_always
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f704bbc20>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f88186ab0>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f701ac200>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_always_1>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1302: in test_insert_rows_json_exception_retry_always
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8852b1a0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f70671910>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f8840a900>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_always_2>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1302: in test_insert_rows_json_exception_retry_always
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f8c6df9b0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8ee3a870>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f693f3a40>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_never_0>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1365: in test_insert_rows_json_exception_retry_never
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f693b0230>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f701afad0>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f7079bc20>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_never_1>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1365: in test_insert_rows_json_exception_retry_never
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f695e1a90>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f8844c6e0>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f69321070>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_on_transient_error_00>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1479: in test_insert_rows_json_exception_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f6950ed50>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f69515f40>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f70475dc0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_on_transient_error_01>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1479: in test_insert_rows_json_exception_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f7014c770>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f6950fd40>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f701e84d0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_on_transient_error_02>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1479: in test_insert_rows_json_exception_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f70187bf0>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f707a4380>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f7067cb30>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_on_transient_error_03>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1479: in test_insert_rows_json_exception_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f70221880>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f701ea390>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f70629fd0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_on_transient_error_04>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1479: in test_insert_rows_json_exception_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f706c4530>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f7067df40>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f706b2cc0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError

TypeError: 'NoneType' object is not iterable
a = (<apache_beam.io.gcp.bigquery_test.BigQueryStreamingInsertsErrorHandling testMethod=test_insert_rows_json_exception_retry_on_transient_error_05>,)
kw = {}

    @wraps(func)
    def standalone_func(*a, **kw):
>       return func(*(a + p.args), **p.kwargs, **kw)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/parameterized/parameterized.py:93: in dummy_func
    return orgfunc(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/mock/mock.py:1468: in patched
    return func(*newargs, **newkeywargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/io/gcp/bigquery_test.py:1479: in test_insert_rows_json_exception_retry_on_transient_error
    with beam.Pipeline(runner='BundleBasedDirectRunner') as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:646: in __exit__
    self.result = self.run()
                  ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:599: in run
    self._options).run(False)
                   ^^^^^^^^^^
target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/pipeline.py:623: in run
    return self.runner.run_pipeline(self, self._options)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.direct.direct_runner.BundleBasedDirectRunner object at 0x788f70628d10>
pipeline = <apache_beam.pipeline.Pipeline object at 0x788f702da540>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x788f7067f2f0>

    def run_pipeline(self, pipeline, options):
      """Execute the entire pipeline and returns an DirectPipelineResult."""
    
      # TODO: Move imports to top. Pipeline <-> Runner dependency cause problems
      # with resolving imports when they are at top.
      # pylint: disable=wrong-import-position
      from apache_beam.pipeline import PipelineVisitor
      from apache_beam.runners.direct.consumer_tracking_pipeline_visitor import ConsumerTrackingPipelineVisitor
      from apache_beam.runners.direct.evaluation_context import EvaluationContext
      from apache_beam.runners.direct.executor import Executor
      from apache_beam.runners.direct.transform_evaluator import TransformEvaluatorRegistry
      from apache_beam.testing.test_stream import TestStream
      from apache_beam.transforms.external import ExternalTransform
    
      class VerifyNoCrossLanguageTransforms(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, ExternalTransform):
            raise RuntimeError(
                "Streaming Python direct runner "
                "does not support cross-language pipelines."
                "Please use other runners such as FlinkRunner, "
                "DataflowRunner, or PrismRunner.")
    
      pipeline.visit(VerifyNoCrossLanguageTransforms())
    
      # If the TestStream I/O is used, use a mock test clock.
      class TestStreamUsageVisitor(PipelineVisitor):
        """Visitor determining whether a Pipeline uses a TestStream."""
        def __init__(self):
          self.uses_test_stream = False
    
        def visit_transform(self, applied_ptransform):
          if isinstance(applied_ptransform.transform, TestStream):
            self.uses_test_stream = True
    
      visitor = TestStreamUsageVisitor()
      pipeline.visit(visitor)
      clock = TestClock() if visitor.uses_test_stream else RealClock()
    
      # Performing configured PTransform overrides.
      pipeline.replace_all(_get_transform_overrides(options))
    
      _LOGGER.info('Running pipeline with DirectRunner.')
      self.consumer_tracking_visitor = ConsumerTrackingPipelineVisitor()
      pipeline.visit(self.consumer_tracking_visitor)
    
      evaluation_context = EvaluationContext(
          options,
          BundleFactory(
              stacked=options.view_as(
                  DirectOptions).direct_runner_use_stacked_bundle),
          self.consumer_tracking_visitor.root_transforms,
          self.consumer_tracking_visitor.value_to_consumers,
          self.consumer_tracking_visitor.step_names,
          self.consumer_tracking_visitor.views,
          clock)
    
      executor = Executor(
          self.consumer_tracking_visitor.value_to_consumers,
          TransformEvaluatorRegistry(evaluation_context),
          evaluation_context)
      # DirectRunner does not support injecting
      # PipelineOptions values at runtime
      RuntimeValueProvider.set_runtime_options(
>       {'experiments': set(options.view_as(beam.options.pipeline_options.DebugOptions).experiments)}
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      )
E     TypeError: 'NoneType' object is not iterable

target/.tox-py312-cloud/py312-cloud/lib/python3.12/site-packages/apache_beam/runners/direct/direct_runner.py:617: TypeError