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Fix typo in parameters of WriteToKafka in Python doc #36932

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fix: Typo in params of WriteToKafka

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Fix typo in parameters of WriteToKafka in Python doc #36932

fix: Typo in params of WriteToKafka
0ca4bb0
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GitHub Actions / Python 3.13 Test Results (self-hosted, ubuntu-20.04, main) failed Nov 28, 2025 in 0s

3 fail, 140 skipped, 357 pass in 7m 57s

  2 files    2 suites   7m 57s ⏱️
500 tests 357 ✅ 140 💤 3 ❌
506 runs  357 ✅ 146 💤 3 ❌

Results for commit 0ca4bb0.

Annotations

Check warning on line 0 in apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest

See this annotation in the file changed.

@github-actions github-actions / Python 3.13 Test Results (self-hosted, ubuntu-20.04, main)

test_scoring_with_matched_features_0 (apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest) failed 

sdks/python/test-suites/tox/py313/build/srcs/sdks/python/pytest_py313-ml.xml [took 2m 24s]
Raw output 
RuntimeError: Pipeline job-001 failed in state FAILED: bundle inst003 stage-007 failed:Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
    tags = estimator.__sklearn_tags__()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'IForest' object has no attribute '__sklearn_tags__'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
    response = task()
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
    lambda: self.create_worker().do_instruction(request), request)
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
    return getattr(self, request_type)(
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        getattr(request, request_type), request.instruction_id)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
    bundle_processor.process_bundle(instruction_id))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
    input_op_by_transform_id[element.transform_id].process_encoded(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        element.data)
        ^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
    self.output(decoded_value)
    ~~~~~~~~~~~^^^^^^^^^^^^^^^
  File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
    def output(self, windowed_value, output_index=0):
  File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
    _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    def receive(self, windowed_value):
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise new_exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:14e61f)/BeamML_RunInference']
a = (<apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest testMethod=test_scoring_with_matched_features_0>,)
kw = {}

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

target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/ml/anomaly/detectors/pyod_adapter_test.py:130: in test_scoring_with_matched_features
    with beam.Pipeline(options=options) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/pipeline.py:648: in __exit__
    self.result.wait_until_finish()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.portability.portable_runner.PipelineResult object at 0x7b2bc3dada90>
duration = None

    def wait_until_finish(self, duration=None):
      """
      :param duration: The maximum time in milliseconds to wait for the result of
      the execution. If None or zero, will wait until the pipeline finishes.
      :return: The result of the pipeline, i.e. PipelineResult.
      """
      last_error_text = None
    
      def read_messages() -> None:
        nonlocal last_error_text
        previous_state = -1
        for message in self._message_stream:
          if message.HasField('message_response'):
            mr = message.message_response
            logging.log(MESSAGE_LOG_LEVELS[mr.importance], "%s", mr.message_text)
            if mr.importance == beam_job_api_pb2.JobMessage.JOB_MESSAGE_ERROR:
              last_error_text = mr.message_text
          else:
            current_state = message.state_response.state
            if current_state != previous_state:
              _LOGGER.info(
                  "Job state changed to %s",
                  self.runner_api_state_to_pipeline_state(current_state))
              previous_state = current_state
          self._messages.append(message)
    
      message_thread = threading.Thread(
          target=read_messages, name='wait_until_finish_read')
      message_thread.daemon = True
      message_thread.start()
    
      if duration:
        state_thread = threading.Thread(
            target=functools.partial(self._observe_state, message_thread),
            name='wait_until_finish_state_observer')
        state_thread.daemon = True
        state_thread.start()
        start_time = time.time()
        duration_secs = duration / 1000
        while (time.time() - start_time < duration_secs and
               state_thread.is_alive()):
          time.sleep(1)
      else:
        self._observe_state(message_thread)
    
      if self._runtime_exception:
>       raise self._runtime_exception
E       RuntimeError: Pipeline job-001 failed in state FAILED: bundle inst003 stage-007 failed:Traceback (most recent call last):
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
E           tags = estimator.__sklearn_tags__()
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'IForest' object has no attribute '__sklearn_tags__'
E       
E       During handling of the above exception, another exception occurred:
E       
E       Traceback (most recent call last):
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
E           self._invoke_process_per_window(
E         File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
E           self.process_method(*args_for_process, **kwargs_for_process),
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
E           return self._run_inference(batch, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
E           raise e
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
E           result_generator = self._model_handler.run_inference(
E               batch, model, inference_args)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
E           return self._base.run_inference(batch, model, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
E           self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
E           predictions = model.decision_function(vectorized_batch)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
E           check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
E           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
E           tags = get_tags(estimator)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
E           raise AttributeError(
E           ...<8 lines>...
E           )
E       AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.
E       
E       During handling of the above exception, another exception occurred:
E       
E       Traceback (most recent call last):
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
E           response = task()
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
E           lambda: self.create_worker().do_instruction(request), request)
E                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
E           return getattr(self, request_type)(
E                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
E               getattr(request, request_type), request.instruction_id)
E               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
E           bundle_processor.process_bundle(instruction_id))
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
E           input_op_by_transform_id[element.transform_id].process_encoded(
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
E               element.data)
E               ^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
E           self.output(decoded_value)
E           ~~~~~~~~~~~^^^^^^^^^^^^^^^
E         File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
E           def output(self, windowed_value, output_index=0):
E         File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
E           _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           def receive(self, windowed_value):
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise new_exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
E           self._invoke_process_per_window(
E         File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
E           self.process_method(*args_for_process, **kwargs_for_process),
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
E           return self._run_inference(batch, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
E           raise e
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
E           result_generator = self._model_handler.run_inference(
E               batch, model, inference_args)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
E           return self._base.run_inference(batch, model, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
E           self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
E           predictions = model.decision_function(vectorized_batch)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
E           check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
E           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
E           tags = get_tags(estimator)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
E           raise AttributeError(
E           ...<8 lines>...
E           )
E       AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:14e61f)/BeamML_RunInference']

target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/portability/portable_runner.py:571: RuntimeError

Check warning on line 0 in apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest

See this annotation in the file changed.

@github-actions github-actions / Python 3.13 Test Results (self-hosted, ubuntu-20.04, main)

test_scoring_with_matched_features_1 (apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest) failed 

sdks/python/test-suites/tox/py313/build/srcs/sdks/python/pytest_py313-ml.xml [took 1s]
Raw output 
RuntimeError: Pipeline job-002 failed in state FAILED: bundle inst003 stage-007 failed:Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
    tags = estimator.__sklearn_tags__()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'IForest' object has no attribute '__sklearn_tags__'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
    response = task()
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
    lambda: self.create_worker().do_instruction(request), request)
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
    return getattr(self, request_type)(
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        getattr(request, request_type), request.instruction_id)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
    bundle_processor.process_bundle(instruction_id))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
    input_op_by_transform_id[element.transform_id].process_encoded(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        element.data)
        ^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
    self.output(decoded_value)
    ~~~~~~~~~~~^^^^^^^^^^^^^^^
  File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
    def output(self, windowed_value, output_index=0):
  File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
    _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    def receive(self, windowed_value):
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise new_exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:8cf85f)/BeamML_RunInference']
a = (<apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest testMethod=test_scoring_with_matched_features_1>,)
kw = {}

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

target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/parameterized/parameterized.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/ml/anomaly/detectors/pyod_adapter_test.py:130: in test_scoring_with_matched_features
    with beam.Pipeline(options=options) as p:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/pipeline.py:648: in __exit__
    self.result.wait_until_finish()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.portability.portable_runner.PipelineResult object at 0x7b2bc3de3250>
duration = None

    def wait_until_finish(self, duration=None):
      """
      :param duration: The maximum time in milliseconds to wait for the result of
      the execution. If None or zero, will wait until the pipeline finishes.
      :return: The result of the pipeline, i.e. PipelineResult.
      """
      last_error_text = None
    
      def read_messages() -> None:
        nonlocal last_error_text
        previous_state = -1
        for message in self._message_stream:
          if message.HasField('message_response'):
            mr = message.message_response
            logging.log(MESSAGE_LOG_LEVELS[mr.importance], "%s", mr.message_text)
            if mr.importance == beam_job_api_pb2.JobMessage.JOB_MESSAGE_ERROR:
              last_error_text = mr.message_text
          else:
            current_state = message.state_response.state
            if current_state != previous_state:
              _LOGGER.info(
                  "Job state changed to %s",
                  self.runner_api_state_to_pipeline_state(current_state))
              previous_state = current_state
          self._messages.append(message)
    
      message_thread = threading.Thread(
          target=read_messages, name='wait_until_finish_read')
      message_thread.daemon = True
      message_thread.start()
    
      if duration:
        state_thread = threading.Thread(
            target=functools.partial(self._observe_state, message_thread),
            name='wait_until_finish_state_observer')
        state_thread.daemon = True
        state_thread.start()
        start_time = time.time()
        duration_secs = duration / 1000
        while (time.time() - start_time < duration_secs and
               state_thread.is_alive()):
          time.sleep(1)
      else:
        self._observe_state(message_thread)
    
      if self._runtime_exception:
>       raise self._runtime_exception
E       RuntimeError: Pipeline job-002 failed in state FAILED: bundle inst003 stage-007 failed:Traceback (most recent call last):
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
E           tags = estimator.__sklearn_tags__()
E                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'IForest' object has no attribute '__sklearn_tags__'
E       
E       During handling of the above exception, another exception occurred:
E       
E       Traceback (most recent call last):
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
E           self._invoke_process_per_window(
E         File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
E           self.process_method(*args_for_process, **kwargs_for_process),
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
E           return self._run_inference(batch, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
E           raise e
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
E           result_generator = self._model_handler.run_inference(
E               batch, model, inference_args)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
E           return self._base.run_inference(batch, model, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
E           self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
E           predictions = model.decision_function(vectorized_batch)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
E           check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
E           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
E           tags = get_tags(estimator)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
E           raise AttributeError(
E           ...<8 lines>...
E           )
E       AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.
E       
E       During handling of the above exception, another exception occurred:
E       
E       Traceback (most recent call last):
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
E           response = task()
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
E           lambda: self.create_worker().do_instruction(request), request)
E                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
E           return getattr(self, request_type)(
E                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
E               getattr(request, request_type), request.instruction_id)
E               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
E           bundle_processor.process_bundle(instruction_id))
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
E           input_op_by_transform_id[element.transform_id].process_encoded(
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
E               element.data)
E               ^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
E           self.output(decoded_value)
E           ~~~~~~~~~~~^^^^^^^^^^^^^^^
E         File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
E           def output(self, windowed_value, output_index=0):
E         File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
E           _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           def receive(self, windowed_value):
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E           self.output_handler.handle_process_outputs(
E         File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E           self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E         File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E           self.main_receivers.receive(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E           self.consumer.process(windowed_value)
E         File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E           with self.scoped_process_state:
E         File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E           delayed_applications = self.dofn_runner.process(o)
E         File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E           self._reraise_augmented(exn, windowed_value)
E         File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E           raise new_exn
E         File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E           return self.do_fn_invoker.invoke_process(windowed_value)
E         File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
E           self._invoke_process_per_window(
E         File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
E           self.process_method(*args_for_process, **kwargs_for_process),
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
E           return self._run_inference(batch, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
E           raise e
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
E           result_generator = self._model_handler.run_inference(
E               batch, model, inference_args)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
E           return self._base.run_inference(batch, model, inference_args)
E                  ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
E           self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
E           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
E           predictions = model.decision_function(vectorized_batch)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
E           check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
E           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
E           tags = get_tags(estimator)
E         File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
E           raise AttributeError(
E           ...<8 lines>...
E           )
E       AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:8cf85f)/BeamML_RunInference']

target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/portability/portable_runner.py:571: RuntimeError

Check warning on line 0 in apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest

See this annotation in the file changed.

@github-actions github-actions / Python 3.13 Test Results (self-hosted, ubuntu-20.04, main)

test_scoring_with_unmatched_features (apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest) failed 

sdks/python/test-suites/tox/py313/build/srcs/sdks/python/pytest_py313-ml.xml [took 3s]
Raw output 
AssertionError: "is expecting 2 features" does not match "Pipeline job-003 failed in state FAILED: bundle inst002 stage-005 failed:Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
    tags = estimator.__sklearn_tags__()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'IForest' object has no attribute '__sklearn_tags__'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
    response = task()
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
    lambda: self.create_worker().do_instruction(request), request)
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
    return getattr(self, request_type)(
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        getattr(request, request_type), request.instruction_id)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
    bundle_processor.process_bundle(instruction_id))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
    input_op_by_transform_id[element.transform_id].process_encoded(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        element.data)
        ^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
    self.output(decoded_value)
    ~~~~~~~~~~~^^^^^^^^^^^^^^^
  File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
    def output(self, windowed_value, output_index=0):
  File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
    _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    def receive(self, windowed_value):
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise new_exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:7600fa)/BeamML_RunInference']
"
RuntimeError: Pipeline job-003 failed in state FAILED: bundle inst002 stage-005 failed:Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
    tags = estimator.__sklearn_tags__()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'IForest' object has no attribute '__sklearn_tags__'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
    response = task()
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
    lambda: self.create_worker().do_instruction(request), request)
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
    return getattr(self, request_type)(
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        getattr(request, request_type), request.instruction_id)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
    bundle_processor.process_bundle(instruction_id))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
    input_op_by_transform_id[element.transform_id].process_encoded(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        element.data)
        ^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
    self.output(decoded_value)
    ~~~~~~~~~~~^^^^^^^^^^^^^^^
  File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
    def output(self, windowed_value, output_index=0):
  File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
    _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    def receive(self, windowed_value):
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
    self.output_handler.handle_process_outputs(
  File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
    self._write_value_to_tag(tag, windowed_value, watermark_estimator)
  File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
    self.main_receivers.receive(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
    self.consumer.process(windowed_value)
  File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
    with self.scoped_process_state:
  File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
    delayed_applications = self.dofn_runner.process(o)
  File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
    self._reraise_augmented(exn, windowed_value)
  File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
    raise new_exn
  File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
    return self.do_fn_invoker.invoke_process(windowed_value)
  File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
    self._invoke_process_per_window(
  File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
    self.process_method(*args_for_process, **kwargs_for_process),
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
    return self._run_inference(batch, inference_args)
           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
    raise e
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
    result_generator = self._model_handler.run_inference(
        batch, model, inference_args)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
    return self._base.run_inference(batch, model, inference_args)
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
    self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
    predictions = model.decision_function(vectorized_batch)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
    check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
    tags = get_tags(estimator)
  File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
    raise AttributeError(
    ...<8 lines>...
    )
AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:7600fa)/BeamML_RunInference']


During handling of the above exception, another exception occurred:

self = <apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest testMethod=test_scoring_with_unmatched_features>

    def test_scoring_with_unmatched_features(self):
      # The model is trained with two features: a, b, but the input features of
      # scoring has one more feature (target).
      # In this case, we should either get rid of the extra feature(s) from
      # the scoring input or set `features` when creating the offline detector
      # (see the `test_scoring_with_matched_features`)
      detector = PyODFactory.create_detector(self.pickled_model_uri)
      options = PipelineOptions([])
      # This should raise a ValueError with message
      # "X has 3 features, but IsolationForest is expecting 2 features as input."
>     with self.assertRaisesRegex(Exception, "is expecting 2 features"):
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E     AssertionError: "is expecting 2 features" does not match "Pipeline job-003 failed in state FAILED: bundle inst002 stage-005 failed:Traceback (most recent call last):
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 275, in get_tags
E         tags = estimator.__sklearn_tags__()
E                ^^^^^^^^^^^^^^^^^^^^^^^^^^
E     AttributeError: 'IForest' object has no attribute '__sklearn_tags__'
E     
E     During handling of the above exception, another exception occurred:
E     
E     Traceback (most recent call last):
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
E         self._invoke_process_per_window(
E       File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
E         self.process_method(*args_for_process, **kwargs_for_process),
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
E         return self._run_inference(batch, inference_args)
E                ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
E         raise e
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
E         result_generator = self._model_handler.run_inference(
E             batch, model, inference_args)
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
E         return self._base.run_inference(batch, model, inference_args)
E                ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
E         self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
E         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
E         predictions = model.decision_function(vectorized_batch)
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
E         check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
E         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
E         tags = get_tags(estimator)
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
E         raise AttributeError(
E         ...<8 lines>...
E         )
E     AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order.
E     
E     During handling of the above exception, another exception occurred:
E     
E     Traceback (most recent call last):
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 316, in _execute
E         response = task()
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 390, in <lambda>
E         lambda: self.create_worker().do_instruction(request), request)
E                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 669, in do_instruction
E         return getattr(self, request_type)(
E                ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
E             getattr(request, request_type), request.instruction_id)
E             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/sdk_worker.py", line 707, in process_bundle
E         bundle_processor.process_bundle(instruction_id))
E         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1302, in process_bundle
E         input_op_by_transform_id[element.transform_id].process_encoded(
E         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
E             element.data)
E             ^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/apache_beam/runners/worker/bundle_processor.py", line 242, in process_encoded
E         self.output(decoded_value)
E         ~~~~~~~~~~~^^^^^^^^^^^^^^^
E       File "apache_beam/runners/worker/operations.py", line 568, in apache_beam.runners.worker.operations.Operation.output
E         def output(self, windowed_value, output_index=0):
E       File "apache_beam/runners/worker/operations.py", line 570, in apache_beam.runners.worker.operations.Operation.output
E         _cast_to_receiver(self.receivers[output_index]).receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 260, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         def receive(self, windowed_value):
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E         self.output_handler.handle_process_outputs(
E       File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E         self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E       File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E         self.main_receivers.receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E         self.output_handler.handle_process_outputs(
E       File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E         self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E       File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E         self.main_receivers.receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E         self.output_handler.handle_process_outputs(
E       File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E         self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E       File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E         self.main_receivers.receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E         self.output_handler.handle_process_outputs(
E       File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E         self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E       File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E         self.main_receivers.receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E         self.output_handler.handle_process_outputs(
E       File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E         self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E       File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E         self.main_receivers.receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1588, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 684, in apache_beam.runners.common.SimpleInvoker.invoke_process
E         self.output_handler.handle_process_outputs(
E       File "apache_beam/runners/common.py", line 1683, in apache_beam.runners.common._OutputHandler.handle_process_outputs
E         self._write_value_to_tag(tag, windowed_value, watermark_estimator)
E       File "apache_beam/runners/common.py", line 1796, in apache_beam.runners.common._OutputHandler._write_value_to_tag
E         self.main_receivers.receive(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 263, in apache_beam.runners.worker.operations.SingletonElementConsumerSet.receive
E         self.consumer.process(windowed_value)
E       File "apache_beam/runners/worker/operations.py", line 954, in apache_beam.runners.worker.operations.DoOperation.process
E         with self.scoped_process_state:
E       File "apache_beam/runners/worker/operations.py", line 955, in apache_beam.runners.worker.operations.DoOperation.process
E         delayed_applications = self.dofn_runner.process(o)
E       File "apache_beam/runners/common.py", line 1500, in apache_beam.runners.common.DoFnRunner.process
E         self._reraise_augmented(exn, windowed_value)
E       File "apache_beam/runners/common.py", line 1609, in apache_beam.runners.common.DoFnRunner._reraise_augmented
E         raise new_exn
E       File "apache_beam/runners/common.py", line 1498, in apache_beam.runners.common.DoFnRunner.process
E         return self.do_fn_invoker.invoke_process(windowed_value)
E       File "apache_beam/runners/common.py", line 912, in apache_beam.runners.common.PerWindowInvoker.invoke_process
E         self._invoke_process_per_window(
E       File "apache_beam/runners/common.py", line 1057, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
E         self.process_method(*args_for_process, **kwargs_for_process),
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1933, in process
E         return self._run_inference(batch, inference_args)
E                ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1903, in _run_inference
E         raise e
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1889, in _run_inference
E         result_generator = self._model_handler.run_inference(
E             batch, model, inference_args)
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 1228, in run_inference
E         return self._base.run_inference(batch, model, inference_args)
E                ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/inference/base.py", line 764, in run_inference
E         self._unkeyed.run_inference(unkeyed_batch, model, inference_args))
E         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/apache_beam/ml/anomaly/detectors/pyod_adapter.py", line 84, in run_inference
E         predictions = model.decision_function(vectorized_batch)
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/pyod/models/iforest.py", line 243, in decision_function
E         check_is_fitted(self, ['decision_scores_', 'threshold_', 'labels_'])
E         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/validation.py", line 1699, in check_is_fitted
E         tags = get_tags(estimator)
E       File "/runner/_work/beam/beam/sdks/python/test-suites/tox/py313/build/srcs/sdks/python/target/.tox-py313-ml/py313-ml/lib/python3.13/site-packages/sklearn/utils/_tags.py", line 283, in get_tags
E         raise AttributeError(
E         ...<8 lines>...
E         )
E     AttributeError: The following error was raised: 'IForest' object has no attribute '__sklearn_tags__'. It seems that there are no classes that implement `__sklearn_tags__` in the MRO and/or all classes in the MRO call `super().__sklearn_tags__()`. Make sure to inherit from `BaseEstimator` which implements `__sklearn_tags__` (or alternatively define `__sklearn_tags__` but we don't recommend this approach). Note that `BaseEstimator` needs to be on the right side of other Mixins in the inheritance order. [while running 'AnomalyDetection/RunOfflineDetector/Call RunInference (OfflineDetector:7600fa)/BeamML_RunInference']
E     "

apache_beam/ml/anomaly/detectors/pyod_adapter_test.py:148: AssertionError

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@github-actions github-actions / Python 3.13 Test Results (self-hosted, ubuntu-20.04, main)

140 skipped tests found 

There are 140 skipped tests, see "Raw output" for the full list of skipped tests.
Raw output 
apache_beam.ml.anomaly.specifiable_test.TestInitCallCount ‑ test_on_dill_pickle
apache_beam.ml.gcp.cloud_dlp_it_test.CloudDLPIT ‑ test_deidentification
apache_beam.ml.gcp.cloud_dlp_it_test.CloudDLPIT ‑ test_inspection
apache_beam.ml.gcp.naturallanguageml_test_it.NaturalLanguageMlTestIT ‑ test_analyzing_syntax
apache_beam.ml.gcp.recommendations_ai_test_it.RecommendationAIIT ‑ test_create_catalog_item
apache_beam.ml.gcp.recommendations_ai_test_it.RecommendationAIIT ‑ test_create_user_event
apache_beam.ml.gcp.recommendations_ai_test_it.RecommendationAIIT ‑ test_predict
apache_beam.ml.gcp.videointelligenceml_test_it.VideoIntelligenceMlTestIT ‑ test_label_detection_with_video_context
apache_beam.ml.gcp.visionml_test_it.VisionMlTestIT ‑ test_text_detection_with_language_hint
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_with_side_inputin_streaming
apache_beam.ml.inference.gemini_inference_it_test.GeminiInference ‑ test_gemini_text_classification
apache_beam.ml.inference.huggingface_inference_it_test.HuggingFaceInference ‑ test_hf_language_modeling
apache_beam.ml.inference.huggingface_inference_it_test.HuggingFaceInference ‑ test_hf_language_modeling_large_model
apache_beam.ml.inference.huggingface_inference_it_test.HuggingFaceInference ‑ test_hf_pipeline
apache_beam.ml.inference.onnx_inference_it_test.OnnxInference ‑ test_onnx_run_inference_roberta_sentiment_classification
apache_beam.ml.inference.onnx_inference_test
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_bert_for_masked_lm
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_bert_for_masked_lm_large_model
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_coco_maskrcnn_resnet50_fpn
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_coco_maskrcnn_resnet50_fpn_v1_and_v2
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_imagenet_mobilenetv2
apache_beam.ml.inference.sklearn_inference_it_test.SklearnInference ‑ test_sklearn_mnist_classification
apache_beam.ml.inference.sklearn_inference_it_test.SklearnInference ‑ test_sklearn_mnist_classification_large_model
apache_beam.ml.inference.sklearn_inference_it_test.SklearnInference ‑ test_sklearn_regression
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_imagenet_image_segmentation
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_mnist_classification
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_mnist_classification_large_model
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_mnist_with_weights_classification
apache_beam.ml.inference.tensorrt_inference_test
apache_beam.ml.inference.vertex_ai_inference_it_test.VertexAIInference ‑ test_vertex_ai_run_flower_image_classification
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_datatable_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_datatable_single_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_numpy_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_numpy_single_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_numpy_single_batch_large_model
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_pandas_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_pandas_single_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_scipy_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_scipy_single_batch
apache_beam.ml.inference.xgboost_inference_test
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_empty_document_field
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_empty_text
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_huggingface_tokenizer_splitter
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_invalid_document_field
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_invalid_text_splitter
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_multiple_metadata_fields
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_no_metadata_fields
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_recursive_splitter_no_overlap
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_basic_vector_search
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_batched_metadata_filter_vector_search
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_condition_batching
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_empty_input
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_euclidean_distance_search
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_include_distance
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_metadata_filter_leakage
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_no_metadata_restriction
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_price_range_filter_with_callable
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_conflict_resolution_default_ignore
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_conflict_resolution_default_update_fields
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_conflict_resolution_update
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_custom_specs
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_default_id_embedding_specs
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_default_schema
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_defaults_with_args_specs
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_language_connector
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_metadata_spec_and_conflicts
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_custom_schema
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_default_schema
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_default_schema_missing_embedding
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_streaming_default_schema
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_composite_unique_constraint_conflicts_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_composite_unique_constraint_conflicts_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_2
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_3
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_4
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_5
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_column_names_and_value_functions_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_column_names_and_value_functions_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_type_conversion_with_default_columns_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_type_conversion_with_default_columns_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_config_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_config_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_id_embedding_specs_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_id_embedding_specs_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_metadata_field_extraction_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_metadata_field_extraction_1
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_conflict_resolution_default_ignore
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_conflict_resolution_default_update_fields
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_conflict_resolution_update
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_custom_specs
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_default_id_embedding_specs
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_default_schema
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_defaults_with_args_specs
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_metadata_spec_and_conflicts
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_custom_column
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_default_schema
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_flattened_metadata
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_minimal_schema
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_update_mode
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_with_converter
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_with_timestamp
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_appends_transforms_to_process_handler_correctly
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_0
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_1
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_2
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_3
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_fail_for_non_global_windows_in_produce_mode
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_on_dict
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_on_list_dict
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_on_multiple_columns_single_transform
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transforms_on_multiple_columns_multiple_transforms
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_mltransform_with_counter
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_save_tft_process_handler
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPIGCSLocationTest ‑ test_embeddings_with_inference_api
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPIGCSLocationTest ‑ test_get_api_url_and_when_model_name_not_provided
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPITest ‑ test_embeddings_with_inference_api
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPITest ‑ test_get_api_url_and_when_model_name_not_provided
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_embeddings_with_dimensions
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_mltransform_to_ptransform_with_openai
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_openai_text_embeddings
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_with_artifact_location
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_tfhub_text_embeddings
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_tfhub_text_embeddings
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubImageEmbeddingsTest ‑ test_sentence_transformer_image_embeddings
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubImageEmbeddingsTest ‑ test_with_str_data_types
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.handlers_test
apache_beam.ml.transforms.tft_test

Check notice on line 0 in .github

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@github-actions github-actions / Python 3.13 Test Results (self-hosted, ubuntu-20.04, main)

500 tests found 

There are 500 tests, see "Raw output" for the full list of tests.
Raw output 
apache_beam.ml.anomaly.aggregations_test.AllVoteTest ‑ test_default
apache_beam.ml.anomaly.aggregations_test.AnyVoteTest ‑ test_default
apache_beam.ml.anomaly.aggregations_test.AverageScoreTest ‑ test_default
apache_beam.ml.anomaly.aggregations_test.LabelAggTestWithMissingOrError ‑ test_default
apache_beam.ml.anomaly.aggregations_test.MajorityVoteTest ‑ test_default
apache_beam.ml.anomaly.aggregations_test.MajorityVoteTest ‑ test_tie_breaker
apache_beam.ml.anomaly.aggregations_test.MaxScoreTest ‑ test_default
apache_beam.ml.anomaly.aggregations_test.ScoreAggTestWithMissingOrError ‑ test_default
apache_beam.ml.anomaly.base_test.TestAnomalyDetector ‑ test_model_id_and_spec_0
apache_beam.ml.anomaly.base_test.TestAnomalyDetector ‑ test_model_id_and_spec_1
apache_beam.ml.anomaly.base_test.TestAnomalyDetector ‑ test_model_id_and_spec_2
apache_beam.ml.anomaly.base_test.TestAnomalyDetector ‑ test_model_id_and_spec_3
apache_beam.ml.anomaly.base_test.TestEnsembleAnomalyDetector ‑ test_model_id_and_spec_0
apache_beam.ml.anomaly.base_test.TestEnsembleAnomalyDetector ‑ test_model_id_and_spec_1
apache_beam.ml.anomaly.base_test.TestEnsembleAnomalyDetector ‑ test_model_id_and_spec_2
apache_beam.ml.anomaly.base_test.TestEnsembleAnomalyDetector ‑ test_model_id_and_spec_3
apache_beam.ml.anomaly.detectors.iqr_test.IQRTest ‑ test_with_default_trackers
apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest ‑ test_scoring_with_matched_features_0
apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest ‑ test_scoring_with_matched_features_1
apache_beam.ml.anomaly.detectors.pyod_adapter_test.PyODIForestTest ‑ test_scoring_with_unmatched_features
apache_beam.ml.anomaly.detectors.robust_zscore_test.RobustZScoreTest ‑ test_with_default_trackers
apache_beam.ml.anomaly.detectors.zscore_test.ZScoreTest ‑ test_with_custom_mean_tracker
apache_beam.ml.anomaly.detectors.zscore_test.ZScoreTest ‑ test_with_default_trackers
apache_beam.ml.anomaly.specifiable_test.TestClassAsArgument ‑ test_normal_class
apache_beam.ml.anomaly.specifiable_test.TestFunctionAsArgument ‑ test_lambda_function
apache_beam.ml.anomaly.specifiable_test.TestFunctionAsArgument ‑ test_normal_function
apache_beam.ml.anomaly.specifiable_test.TestInitCallCount ‑ test_just_in_time_init
apache_beam.ml.anomaly.specifiable_test.TestInitCallCount ‑ test_on_demand_and_just_in_time_init
apache_beam.ml.anomaly.specifiable_test.TestInitCallCount ‑ test_on_demand_init
apache_beam.ml.anomaly.specifiable_test.TestInitCallCount ‑ test_on_dill_pickle
apache_beam.ml.anomaly.specifiable_test.TestInitCallCount ‑ test_on_pickle
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_error_in_child
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_nested_specifiable_0
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_nested_specifiable_1
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_nested_specifiable_2
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_nested_specifiable_3
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_nested_specifiable_4
apache_beam.ml.anomaly.specifiable_test.TestNestedSpecifiable ‑ test_nested_specifiable_5
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_decorator_in_function_form
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_decorator_in_syntactic_sugar_form
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_from_spec_and_to_spec_0
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_from_spec_and_to_spec_1
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_from_spec_and_to_spec_2
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_from_spec_and_to_spec_3
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_from_spec_on_unknown_spec_type
apache_beam.ml.anomaly.specifiable_test.TestSpecifiable ‑ test_init_params_in_specifiable
apache_beam.ml.anomaly.specifiable_test.TestUncommonUsages ‑ test_double_specifiable
apache_beam.ml.anomaly.specifiable_test.TestUncommonUsages ‑ test_unspecifiable
apache_beam.ml.anomaly.thresholds_test.TestFixedThreshold ‑ test_apply_only
apache_beam.ml.anomaly.thresholds_test.TestQuantileThreshold ‑ test_apply_only
apache_beam.ml.anomaly.thresholds_test.TestQuantileThreshold ‑ test_quantile_tracker
apache_beam.ml.anomaly.transforms_test.TestAnomalyDetection ‑ test_multiple_detectors_without_aggregation_0
apache_beam.ml.anomaly.transforms_test.TestAnomalyDetection ‑ test_multiple_detectors_without_aggregation_1
apache_beam.ml.anomaly.transforms_test.TestAnomalyDetection ‑ test_multiple_sub_detectors_with_aggregation_0
apache_beam.ml.anomaly.transforms_test.TestAnomalyDetection ‑ test_multiple_sub_detectors_with_aggregation_1
apache_beam.ml.anomaly.transforms_test.TestAnomalyDetection ‑ test_one_detector_0
apache_beam.ml.anomaly.transforms_test.TestAnomalyDetection ‑ test_one_detector_1
apache_beam.ml.anomaly.transforms_test.TestOfflineDetector ‑ test_default_inference_fn_0
apache_beam.ml.anomaly.transforms_test.TestOfflineDetector ‑ test_default_inference_fn_1
apache_beam.ml.anomaly.transforms_test.TestOfflineDetector ‑ test_run_inference_args
apache_beam.ml.anomaly.transforms_test.TestStatefulThresholdDoFn ‑ test_dofn_on_single_prediction
apache_beam.ml.anomaly.transforms_test.TestStatelessThresholdDoFn ‑ test_dofn_on_multiple_predictions
apache_beam.ml.anomaly.transforms_test.TestStatelessThresholdDoFn ‑ test_dofn_on_single_prediction
apache_beam.ml.anomaly.univariate.mad_test.MadTest ‑ test_default_tracker
apache_beam.ml.anomaly.univariate.mean_test.LandmarkMeanTest ‑ test_accuracy_fuzz
apache_beam.ml.anomaly.univariate.mean_test.LandmarkMeanTest ‑ test_with_float64_max
apache_beam.ml.anomaly.univariate.mean_test.LandmarkMeanTest ‑ test_with_nan
apache_beam.ml.anomaly.univariate.mean_test.LandmarkMeanTest ‑ test_without_nan
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_accuracy_fuzz
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_with_float64_max_0
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_with_float64_max_1
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_with_nan_0
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_with_nan_1
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_without_nan_0
apache_beam.ml.anomaly.univariate.mean_test.SlidingMeanTest ‑ test_without_nan_1
apache_beam.ml.anomaly.univariate.median_test.MedianTest ‑ test_custom_tracker
apache_beam.ml.anomaly.univariate.median_test.MedianTest ‑ test_default_tracker
apache_beam.ml.anomaly.univariate.median_test.MedianTest ‑ test_wrong_tracker
apache_beam.ml.anomaly.univariate.perf_test.PerfTest ‑ test_mean_perf
apache_beam.ml.anomaly.univariate.perf_test.PerfTest ‑ test_quantile_perf
apache_beam.ml.anomaly.univariate.perf_test.PerfTest ‑ test_stdev_perf
apache_beam.ml.anomaly.univariate.quantile_test.LandmarkQuantileTest ‑ test_accuracy_fuzz
apache_beam.ml.anomaly.univariate.quantile_test.LandmarkQuantileTest ‑ test_with_nan
apache_beam.ml.anomaly.univariate.quantile_test.LandmarkQuantileTest ‑ test_without_nan
apache_beam.ml.anomaly.univariate.quantile_test.SlidingQuantileTest ‑ test_accuracy_fuzz
apache_beam.ml.anomaly.univariate.quantile_test.SlidingQuantileTest ‑ test_with_nan_0
apache_beam.ml.anomaly.univariate.quantile_test.SlidingQuantileTest ‑ test_with_nan_1
apache_beam.ml.anomaly.univariate.quantile_test.SlidingQuantileTest ‑ test_without_nan_0
apache_beam.ml.anomaly.univariate.stdev_test.LandmarkStdevTest ‑ test_accuracy_fuzz
apache_beam.ml.anomaly.univariate.stdev_test.LandmarkStdevTest ‑ test_with_nan
apache_beam.ml.anomaly.univariate.stdev_test.LandmarkStdevTest ‑ test_without_nan
apache_beam.ml.anomaly.univariate.stdev_test.SlidingStdevTest ‑ test_accuracy_fuzz
apache_beam.ml.anomaly.univariate.stdev_test.SlidingStdevTest ‑ test_stdev_with_nan_0
apache_beam.ml.anomaly.univariate.stdev_test.SlidingStdevTest ‑ test_stdev_with_nan_1
apache_beam.ml.anomaly.univariate.stdev_test.SlidingStdevTest ‑ test_without_nan_0
apache_beam.ml.anomaly.univariate.stdev_test.SlidingStdevTest ‑ test_without_nan_1
apache_beam.ml.gcp.cloud_dlp_it_test.CloudDLPIT ‑ test_deidentification
apache_beam.ml.gcp.cloud_dlp_it_test.CloudDLPIT ‑ test_inspection
apache_beam.ml.gcp.cloud_dlp_test.TestDeidentifyFn ‑ test_deidentify_called
apache_beam.ml.gcp.cloud_dlp_test.TestDeidentifyText ‑ test_exception_raised_when_no_config_is_provided
apache_beam.ml.gcp.cloud_dlp_test.TestInspectFn ‑ test_inspect_called
apache_beam.ml.gcp.cloud_dlp_test.TestInspectText ‑ test_exception_raised_then_no_config_provided
apache_beam.ml.gcp.naturallanguageml_test.NaturalLanguageMlTest ‑ test_document_source
apache_beam.ml.gcp.naturallanguageml_test_it.NaturalLanguageMlTestIT ‑ test_analyzing_syntax
apache_beam.ml.gcp.recommendations_ai_test.RecommendationsAICatalogItemTest ‑ test_CreateCatalogItem
apache_beam.ml.gcp.recommendations_ai_test.RecommendationsAICatalogItemTest ‑ test_ImportCatalogItems
apache_beam.ml.gcp.recommendations_ai_test.RecommendationsAIPredictTest ‑ test_Predict
apache_beam.ml.gcp.recommendations_ai_test.RecommendationsAIUserEventTest ‑ test_CreateUserEvent
apache_beam.ml.gcp.recommendations_ai_test.RecommendationsAIUserEventTest ‑ test_ImportUserEvents
apache_beam.ml.gcp.recommendations_ai_test_it.RecommendationAIIT ‑ test_create_catalog_item
apache_beam.ml.gcp.recommendations_ai_test_it.RecommendationAIIT ‑ test_create_user_event
apache_beam.ml.gcp.recommendations_ai_test_it.RecommendationAIIT ‑ test_predict
apache_beam.ml.gcp.videointelligenceml_test.VideoIntelligenceTest ‑ test_AnnotateVideoWithContext_b64_content
apache_beam.ml.gcp.videointelligenceml_test.VideoIntelligenceTest ‑ test_AnnotateVideoWithContext_bad_input
apache_beam.ml.gcp.videointelligenceml_test.VideoIntelligenceTest ‑ test_AnnotateVideo_URIs
apache_beam.ml.gcp.videointelligenceml_test.VideoIntelligenceTest ‑ test_AnnotateVideo_b64_content
apache_beam.ml.gcp.videointelligenceml_test.VideoIntelligenceTest ‑ test_AnnotateVideo_bad_input
apache_beam.ml.gcp.videointelligenceml_test.VideoIntelligenceTest ‑ test_AnnotateVideo_with_side_input_context
apache_beam.ml.gcp.videointelligenceml_test_it.VideoIntelligenceMlTestIT ‑ test_label_detection_with_video_context
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImageWithContext_URIs
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImageWithContext_bad_input
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImage_URI_with_side_input_context
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImage_URIs
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImage_URIs_large_batch
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImage_b64_content
apache_beam.ml.gcp.visionml_test.VisionTest ‑ test_AnnotateImage_bad_input
apache_beam.ml.gcp.visionml_test_it.VisionMlTestIT ‑ test_text_detection_with_language_hint
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_child_class_without_env_vars
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_counted_metrics
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_env_vars_set_correctly
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_failed_batches_counter_no_failures
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_forwards_batch_args
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_increment_failed_batches_counter
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_keyed_many_model_handlers_validation
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_keyed_model_handler_get_num_bytes
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_keyed_model_handler_multiple_models_get_num_bytes
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_handler_compatibility
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_manager_evicts_correct_num_of_models_after_being_incremented
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_manager_evicts_models
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_manager_evicts_models_after_update
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_manager_loads_shared_model
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_status_provides_valid_garbage_collection
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_model_status_provides_valid_tags
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_empty_side_input
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_dlq
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_inference_args
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_keyed_mps_incrementing_multi_copy
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_mps_nobatch_incrementing_multi_copy
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_multi_process_shared_incrementing_multi_copy
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_simple_examples
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_simple_examples_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_simple_examples_multi_process_shared_multi_copy
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_keyed_examples
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_keyed_examples_many_mhs_max_models_hint
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_keyed_examples_many_model_handlers
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_keyed_examples_many_model_handlers_metrics
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_keyed_examples_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_maybe_keyed_examples
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_impl_with_maybe_keyed_examples_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_keyed_examples_with_unkeyed_model_handler
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_keyed_pre_and_post_processing
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_loads_different_models
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_loads_different_models_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_maybe_keyed_pre_and_post_processing
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_metrics_with_custom_namespace
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_postprocessing
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_postprocessing_dlq
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_postprocessing_multiple_fns
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_pre_and_post_processing_dlq
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_prebatched
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_prediction_result_with_model_id
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_preprocessing
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_preprocessing_dlq
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_preprocessing_multiple_fns
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_side_input_in_batch
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_side_input_in_batch_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_side_input_in_batch_per_key_models
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_side_input_in_batch_per_key_models_split_cohort
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_timeout_does_garbage_collection
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_timeout_not_hit
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_timeout_on_inference_dlq
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_timeout_on_load_dlq
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_unkeyed_examples_with_keyed_model_handler
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_watch_file_pattern_keyword_arg_side_input_label
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_watch_file_pattern_side_input_label
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_with_iterable_side_input
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_with_iterable_side_input_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_run_inference_with_side_inputin_streaming
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_runinference_loads_same_model_with_identifier_multi_process_shared
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_timing_metrics
apache_beam.ml.inference.base_test.RunInferenceBaseTest ‑ test_unexpected_inference_args_passed
apache_beam.ml.inference.base_test.RunInferenceRemoteTest ‑ test_exception_on_load_model_override
apache_beam.ml.inference.base_test.RunInferenceRemoteTest ‑ test_exception_on_run_inference_override
apache_beam.ml.inference.base_test.RunInferenceRemoteTest ‑ test_normal_model_execution
apache_beam.ml.inference.base_test.RunInferenceRemoteTest ‑ test_repeated_requests_fail
apache_beam.ml.inference.base_test.RunInferenceRemoteTest ‑ test_works_on_retry
apache_beam.ml.inference.gemini_inference_it_test.GeminiInference ‑ test_gemini_image_generation
apache_beam.ml.inference.gemini_inference_it_test.GeminiInference ‑ test_gemini_text_classification
apache_beam.ml.inference.gemini_inference_test.ModelHandlerArgConditions ‑ test_all_params_set
apache_beam.ml.inference.gemini_inference_test.ModelHandlerArgConditions ‑ test_missing_all_params
apache_beam.ml.inference.gemini_inference_test.ModelHandlerArgConditions ‑ test_missing_vertex_location_param
apache_beam.ml.inference.gemini_inference_test.ModelHandlerArgConditions ‑ test_missing_vertex_project_param
apache_beam.ml.inference.gemini_inference_test.RetryOnClientErrorTest ‑ test_retry_on_client_error_negative
apache_beam.ml.inference.gemini_inference_test.RetryOnClientErrorTest ‑ test_retry_on_client_error_positive
apache_beam.ml.inference.gemini_inference_test.RetryOnClientErrorTest ‑ test_retry_on_server_error
apache_beam.ml.inference.huggingface_inference_it_test.HuggingFaceInference ‑ test_hf_language_modeling
apache_beam.ml.inference.huggingface_inference_it_test.HuggingFaceInference ‑ test_hf_language_modeling_large_model
apache_beam.ml.inference.huggingface_inference_it_test.HuggingFaceInference ‑ test_hf_pipeline
apache_beam.ml.inference.huggingface_inference_test.HuggingFaceInferenceTest ‑ test_convert_to_result_batch_processing
apache_beam.ml.inference.huggingface_inference_test.HuggingFaceInferenceTest ‑ test_framework_detection_tensorflow
apache_beam.ml.inference.huggingface_inference_test.HuggingFaceInferenceTest ‑ test_framework_detection_torch
apache_beam.ml.inference.huggingface_inference_test.HuggingFaceInferenceTest ‑ test_predict_tensor
apache_beam.ml.inference.huggingface_inference_test.HuggingFaceInferenceTest ‑ test_predict_tensor_with_inference_args
apache_beam.ml.inference.onnx_inference_it_test.OnnxInference ‑ test_onnx_run_inference_roberta_sentiment_classification
apache_beam.ml.inference.onnx_inference_test
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_bert_for_masked_lm
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_bert_for_masked_lm_large_model
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_coco_maskrcnn_resnet50_fpn
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_coco_maskrcnn_resnet50_fpn_v1_and_v2
apache_beam.ml.inference.pytorch_inference_it_test.PyTorchInference ‑ test_torch_run_inference_imagenet_mobilenetv2
apache_beam.ml.inference.pytorch_inference_test.PytorchInferenceTestWithMocks ‑ test_load_model_args_keyed_tensor
apache_beam.ml.inference.pytorch_inference_test.PytorchInferenceTestWithMocks ‑ test_load_model_args_tensor
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_env_vars_set_correctly_keyed_tensor_handler
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_env_vars_set_correctly_tensor_handler
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_gpu_auto_convert_to_cpu
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_inference_torch_script_model
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_invalid_input_type
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_load_torch_script_model
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_gcs_model
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_gcs_model_control_batching
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_local_model_extra_inference_args
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_local_model_extra_inference_args_batching_args
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_local_model_extra_inference_args_large
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_local_model_large
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_pipeline_local_model_simple
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_prediction_result_model_id_with_torch_model
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_prediction_result_model_id_with_torch_script_model
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_specify_torch_script_path_and_state_dict_path
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_torch_model_class_none
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferencePipelineTest ‑ test_torch_model_state_dict_none
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_inference_runner_inference_args
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_namespace
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_num_bytes
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_custom
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_helper
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_keyed
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_keyed_dict_output
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_keyed_helper
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_multiple_tensor_features
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_multiple_tensor_features_dict_output
apache_beam.ml.inference.pytorch_inference_test.PytorchRunInferenceTest ‑ test_run_inference_single_tensor_feature
apache_beam.ml.inference.sklearn_inference_it_test.SklearnInference ‑ test_sklearn_mnist_classification
apache_beam.ml.inference.sklearn_inference_it_test.SklearnInference ‑ test_sklearn_mnist_classification_large_model
apache_beam.ml.inference.sklearn_inference_it_test.SklearnInference ‑ test_sklearn_regression
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_bad_file_raises
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_bad_input_type_raises
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_custom_inference_fn
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_data_vectorized
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_env_vars_set_correctly_numpy
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_infer_too_many_rows_in_dataframe
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_num_bytes_numpy
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_joblib
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_custom_batching
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_custom_inference
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_dict_out
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_env_vars_set_correctly
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_joblib
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_large_model
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pandas_with_keys
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pickled
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pickled_custom_batching
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_pipeline_pickled_large_model
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_predict_output
apache_beam.ml.inference.sklearn_inference_test.SkLearnRunInferenceTest ‑ test_predict_output_dict
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_imagenet_image_segmentation
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_mnist_classification
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_mnist_classification_large_model
apache_beam.ml.inference.tensorflow_inference_it_test.TensorflowInference ‑ test_tf_mnist_with_weights_classification
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_load_model_exception
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_keyed_numpy
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_keyed_tensor
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_numpy
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_numpy_with_batch_size
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_numpy_with_large_model
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_tensor
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_tensor_with_args
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_tensor_with_batch_size
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTest ‑ test_predict_tensor_with_large_model
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTestWithMocks ‑ test_env_vars_set_correctly_numpy
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTestWithMocks ‑ test_env_vars_set_correctly_tensor
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTestWithMocks ‑ test_load_model_args
apache_beam.ml.inference.tensorflow_inference_test.TFRunInferenceTestWithMocks ‑ test_load_model_with_args_and_custom_weights
apache_beam.ml.inference.tensorrt_inference_test
apache_beam.ml.inference.utils_test.WatchFilePatternTest ‑ test_emitting_singleton_output
apache_beam.ml.inference.utils_test.WatchFilePatternTest ‑ test_latest_file_by_timestamp_default_value
apache_beam.ml.inference.utils_test.WatchFilePatternTest ‑ test_latest_file_with_timestamp_after_pipeline_construction_time
apache_beam.ml.inference.vertex_ai_inference_it_test.VertexAIInference ‑ test_vertex_ai_run_flower_image_classification
apache_beam.ml.inference.vertex_ai_inference_test.ModelHandlerArgConditions ‑ test_exception_on_private_without_network
apache_beam.ml.inference.vertex_ai_inference_test.RetryOnClientErrorTest ‑ test_retry_on_client_error_negative
apache_beam.ml.inference.vertex_ai_inference_test.RetryOnClientErrorTest ‑ test_retry_on_client_error_positive
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_datatable_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_datatable_single_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_numpy_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_numpy_single_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_numpy_single_batch_large_model
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_pandas_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_pandas_single_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_scipy_multi_batch
apache_beam.ml.inference.xgboost_inference_it_test.XGBoostInference ‑ test_iris_classification_scipy_single_batch
apache_beam.ml.inference.xgboost_inference_test
apache_beam.ml.rag.chunking.base_test.ChunkingTransformProviderTest ‑ test_chunking_transform
apache_beam.ml.rag.chunking.base_test.ChunkingTransformProviderTest ‑ test_custom_chunk_id_fn
apache_beam.ml.rag.chunking.base_test.ChunkingTransformProviderTest ‑ test_doesnt_override_get_text_splitter_transform
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_empty_document_field
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_empty_text
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_huggingface_tokenizer_splitter
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_invalid_document_field
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_invalid_text_splitter
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_multiple_metadata_fields
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_no_metadata_fields
apache_beam.ml.rag.chunking.langchain_test.LangChainChunkingTest ‑ test_recursive_splitter_no_overlap
apache_beam.ml.rag.embeddings.base_test.RAGBaseEmbeddingsTest ‑ test_adapter_input_conversion
apache_beam.ml.rag.embeddings.base_test.RAGBaseEmbeddingsTest ‑ test_adapter_input_conversion_missing_text_content
apache_beam.ml.rag.embeddings.base_test.RAGBaseEmbeddingsTest ‑ test_adapter_output_conversion
apache_beam.ml.rag.embeddings.huggingface_test.HuggingfaceTextEmbeddingsTest ‑ test_embedding_pipeline
apache_beam.ml.rag.embeddings.vertex_ai_test.VertexAITextEmbeddingsTest ‑ test_embedding_pipeline
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_basic_vector_search
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_batched_metadata_filter_vector_search
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_condition_batching
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_empty_input
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_euclidean_distance_search
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_include_distance
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_invalid_query
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_metadata_filter_leakage
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_missing_embedding
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_no_metadata_restriction
apache_beam.ml.rag.enrichment.bigquery_vector_search_it_test.TestBigQueryVectorSearchIT ‑ test_price_range_filter_with_callable
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusHybridSearchEnrichment ‑ test_invalid_search_parameters_0
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusHybridSearchEnrichment ‑ test_invalid_search_parameters_1
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusHybridSearchEnrichment ‑ test_invalid_search_parameters_2
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusHybridSearchEnrichment ‑ test_invalid_search_parameters_3
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusKeywordSearchEnrichment ‑ test_invalid_search_parameters_0
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusKeywordSearchEnrichment ‑ test_invalid_search_parameters_1
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusKeywordSearchEnrichment ‑ test_missing_sparse_embedding_only
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusKeywordSearchEnrichment ‑ test_missing_text_content_and_sparse_embedding
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusKeywordSearchEnrichment ‑ test_missing_text_content_only
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusSearchEnrichment ‑ test_invalid_connection_parameters
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusSearchEnrichment ‑ test_invalid_search_parameters_0
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusSearchEnrichment ‑ test_invalid_search_parameters_1
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusSearchEnrichment ‑ test_unpack_dataclass_with_kwargs
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusVectorSearchEnrichment ‑ test_invalid_search_parameters_0
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusVectorSearchEnrichment ‑ test_invalid_search_parameters_1
apache_beam.ml.rag.enrichment.milvus_search_test.TestMilvusVectorSearchEnrichment ‑ test_missing_dense_embedding
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_conflict_resolution_default_ignore
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_conflict_resolution_default_update_fields
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_conflict_resolution_update
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_custom_specs
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_default_id_embedding_specs
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_default_schema
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_defaults_with_args_specs
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_language_connector
apache_beam.ml.rag.ingestion.alloydb_it_test.AlloydbVectorWriterConfigTest ‑ test_metadata_spec_and_conflicts
apache_beam.ml.rag.ingestion.base_test.VectorDatabaseBaseTest ‑ test_invalid_config
apache_beam.ml.rag.ingestion.base_test.VectorDatabaseBaseTest ‑ test_pipeline_integration
apache_beam.ml.rag.ingestion.base_test.VectorDatabaseBaseTest ‑ test_write_transform_creation
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_custom_schema
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_default_schema
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_default_schema_missing_embedding
apache_beam.ml.rag.ingestion.bigquery_it_test.BigQueryVectorWriterConfigTest ‑ test_streaming_default_schema
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_composite_unique_constraint_conflicts_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_composite_unique_constraint_conflicts_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_2
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_3
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_4
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_conflict_resolution_5
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_column_names_and_value_functions_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_column_names_and_value_functions_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_type_conversion_with_default_columns_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_custom_type_conversion_with_default_columns_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_config_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_config_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_id_embedding_specs_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_default_id_embedding_specs_1
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_metadata_field_extraction_0
apache_beam.ml.rag.ingestion.cloudsql_it_test.CloudSQLVectorWriterConfigTest ‑ test_metadata_field_extraction_1
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusVectorWriterConfig ‑ test_create_converter_returns_callable
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusVectorWriterConfig ‑ test_create_write_transform_returns_ptransform
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusVectorWriterConfig ‑ test_default_column_specs_has_expected_fields
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusVectorWriterConfig ‑ test_invalid_configuration_parameters_0
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusVectorWriterConfig ‑ test_invalid_configuration_parameters_1
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusVectorWriterConfig ‑ test_valid_config_creation
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusWriteConfig ‑ test_empty_collection_name_raises_error
apache_beam.ml.rag.ingestion.milvus_search_test.TestMilvusWriteConfig ‑ test_none_collection_name_raises_error
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_conflict_resolution_default_ignore
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_conflict_resolution_default_update_fields
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_conflict_resolution_update
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_custom_specs
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_default_id_embedding_specs
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_default_schema
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_defaults_with_args_specs
apache_beam.ml.rag.ingestion.postgres_it_test.PostgresVectorWriterConfigTest ‑ test_metadata_spec_and_conflicts
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_custom_column
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_default_schema
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_flattened_metadata
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_minimal_schema
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_update_mode
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_with_converter
apache_beam.ml.rag.ingestion.spanner_it_test.SpannerVectorWriterTest ‑ test_write_with_timestamp
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_appends_transforms_to_process_handler_correctly
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_0
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_1
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_2
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_dict_output_pcoll_schema_3
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_fail_for_non_global_windows_in_produce_mode
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_no_read_or_write_artifact_lcoation
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_on_dict
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_on_list_dict
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transform_on_multiple_columns_single_transform
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_ml_transforms_on_multiple_columns_multiple_transforms
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_mltransform_with_counter
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_non_ptransfrom_provider_class_to_mltransform
apache_beam.ml.transforms.base_test.BaseMLTransformTest ‑ test_read_mode_with_transforms
apache_beam.ml.transforms.base_test.MLTransformDLQTest ‑ test_dlq_with_embeddings
apache_beam.ml.transforms.base_test.MLTransformDLQTest ‑ test_mltransform_with_dlq_and_extract_tranform_name
apache_beam.ml.transforms.base_test.TestImageEmbeddingHandler ‑ test_handler_with_dict_inputs
apache_beam.ml.transforms.base_test.TestImageEmbeddingHandler ‑ test_handler_with_non_dict_datatype
apache_beam.ml.transforms.base_test.TestImageEmbeddingHandler ‑ test_handler_with_non_image_datatype
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_mltransform_to_ptransform_wrapper
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_save_and_load_run_inference
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_save_run_inference
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_save_tft_process_handler
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_with_gcs_location_with_none_options
apache_beam.ml.transforms.base_test.TestJsonPickleTransformAttributeManager ‑ test_with_same_local_artifact_location
apache_beam.ml.transforms.base_test.TestMultiModalEmbeddingHandler ‑ test_handler_with_dict_inputs
apache_beam.ml.transforms.base_test.TestMultiModalEmbeddingHandler ‑ test_handler_with_incorrect_datatype
apache_beam.ml.transforms.base_test.TestMultiModalEmbeddingHandler ‑ test_handler_with_non_dict_datatype
apache_beam.ml.transforms.base_test.TestUtilFunctions ‑ test_dict_input_fn_normal
apache_beam.ml.transforms.base_test.TestUtilFunctions ‑ test_dict_input_fn_on_list_inputs
apache_beam.ml.transforms.base_test.TestUtilFunctions ‑ test_dict_output_fn_normal
apache_beam.ml.transforms.base_test.TestUtilFunctions ‑ test_dict_output_fn_on_list_inputs
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_on_columns_not_exist_in_input_data
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_on_multiple_columns
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_with_batch_sizes
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_with_dict_inputs
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_with_incompatible_datatype
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_with_inconsistent_keys
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_handler_with_list_data
apache_beam.ml.transforms.base_test.TextEmbeddingHandlerTest ‑ test_no_columns_or_type_adapter
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPIGCSLocationTest ‑ test_embeddings_with_inference_api
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPIGCSLocationTest ‑ test_get_api_url_and_when_model_name_not_provided
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPITest ‑ test_embeddings_with_inference_api
apache_beam.ml.transforms.embeddings.huggingface_test.HuggingfaceInferenceAPITest ‑ test_get_api_url_and_when_model_name_not_provided
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_embeddings_with_inference_args
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_embeddings_with_read_artifact_location_0
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_embeddings_with_read_artifact_location_1
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_embeddings_with_read_artifact_location_2
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_mltransform_to_ptransform_with_sentence_transformer
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_sentence_transformer_embeddings
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_sentence_transformer_image_embeddings
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_sentence_transformer_images_with_str_data_types
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_sentence_transformer_with_int_data_types
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_with_gcs_artifact_location_0
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_with_gcs_artifact_location_1
apache_beam.ml.transforms.embeddings.huggingface_test.SentenceTransformerEmbeddingsTest ‑ test_with_gcs_artifact_location_2
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_embeddings_with_dimensions
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_mltransform_to_ptransform_with_openai
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_openai_text_embeddings
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_with_artifact_location
apache_beam.ml.transforms.embeddings.open_ai_it_test.OpenAIEmbeddingsTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_tfhub_text_embeddings
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsGCSArtifactLocationTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_tfhub_text_embeddings
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubEmbeddingsTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubImageEmbeddingsTest ‑ test_sentence_transformer_image_embeddings
apache_beam.ml.transforms.embeddings.tensorflow_hub_test.TFHubImageEmbeddingsTest ‑ test_with_str_data_types
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_embeddings_with_read_artifact_location
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_embeddings_with_scale_to_0_1
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_mltransform_to_ptransform_with_vertex
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_vertex_ai_text_embeddings
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_with_gcs_artifact_location
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIEmbeddingsTest ‑ test_with_int_data_types
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIImageEmbeddingsTest ‑ test_improper_dimension
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIImageEmbeddingsTest ‑ test_vertex_ai_image_embedding
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIMultiModalEmbeddingsTest ‑ test_improper_dimension
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIMultiModalEmbeddingsTest ‑ test_improper_video_dimension
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIMultiModalEmbeddingsTest ‑ test_missing_columns
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIMultiModalEmbeddingsTest ‑ test_vertex_ai_multimodal_embedding_img_and_text
apache_beam.ml.transforms.embeddings.vertex_ai_test.VertexAIMultiModalEmbeddingsTest ‑ test_vertex_ai_multimodal_embedding_video
apache_beam.ml.transforms.handlers_test
apache_beam.ml.transforms.tft_test
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