See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1559/display/redirect>

Changes:


------------------------------------------
[...truncated 7.02 MB...]
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "assert_that/Match.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s20"
        },
        "serialized_fn": "ref_AppliedPTransform_assert_that/Match_30",
        "user_name": "assert_that/Match"
      }
    }
  ],
  "type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-01-21T07:16:00.180636Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-01-20_23_15_58-14746940232692388858'
 location: 'us-central1'
 name: 'beamapp-jenkins-0121071549-933203'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-01-21T07:16:00.180636Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-01-20_23_15_58-14746940232692388858]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-01-20_23_15_58-14746940232692388858
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-20_23_15_58-14746940232692388858?project=apache-beam-testing
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely 
for streaming job.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-01-20_23_15_58-14746940232692388858 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:15:58.604Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2021-01-20_23_15_58-14746940232692388858. The number of workers will be between 
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:15:58.604Z: 
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. 
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:15:58.604Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2021-01-20_23_15_58-14746940232692388858.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:03.795Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.670Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.723Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.830Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.861Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.894Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not 
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.936Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:04.974Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.097Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.252Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.341Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.447Z: 
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.497Z: 
JOB_MESSAGE_DETAILED: Fusing unzipped copy of 
assert_that/Group/GroupByKey/WriteStream, through flatten 
assert_that/Group/Flatten, into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.544Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream 
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.630Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2957>) 
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.688Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at 
core.py:2957>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.723Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
assert_that/Create/FlatMap(<lambda at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.762Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.795Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at 
core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.824Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.862Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.892Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.926Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) 
into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.960Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:05.997Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.032Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.067Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into 
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.108Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.147Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.178Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets 
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.226Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
assert_that/Group/Map(_merge_tagged_vals_under_key) into 
assert_that/Group/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.266Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into 
assert_that/Group/Map(_merge_tagged_vals_under_key)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.299Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.346Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.394Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.433Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:06.463Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:07.682Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:07.728Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:07.755Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:31.573Z: 
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric 
descriptors, so new user metrics of the form custom.googleapis.com/* will not 
be created. However, all user metrics are also available in the metric 
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, 
you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:16:44.470Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that 
the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:17:16.755Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:17:16.792Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:10.961Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:11.021Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:11.040Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:11.323Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:11.443Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:59.436Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on 
low average worker CPU utilization, and the pipeline having sufficiently low 
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:59.563Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-21T07:23:59.706Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-01-20_23_15_58-14746940232692388858 is in state JOB_STATE_DONE
test_gbk_many_values 
(apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiBasedStateBackedCoderTest)
 ... ok
Test TimestampCombiner with EARLIEST. ... ok
Test TimestampCombiner with LATEST. ... ok
Runs streaming Dataflow job and verifies that user metrics are reported ... ok
test_flatten_one_single_pcollection 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ... 
ok
test_flatten_pcollections 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_a_flattened_pcollection 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_multiple_pcollections_having_multiple_consumers 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_dofn_lifecycle 
(apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_multiple_empty_outputs 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_combine 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_combining_value_state 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... 
ERROR
test_non_liftable_combine 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_par_do_with_multiple_outputs_and_using_yield 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_return 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest) 
... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... 
ok
test_as_list_and_as_dict_side_inputs 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_with_different_defaults 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_without_unique_labels 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... 
ok
test_empty_singleton_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_flattened_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_iterable_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_default_value_singleton_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps 
(apache_beam.transforms.util_test.ReshuffleTest) ... ok
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok

======================================================================
ERROR: test_combining_value_state 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest)
----------------------------------------------------------------------
Traceback (most recent call last):
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/combinefn_lifecycle_test.py";,>
 line 52, in wrapped
    return fn(*args, **kwargs)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/combinefn_lifecycle_test.py";,>
 line 72, in test_combining_value_state
    run_pardo(self.pipeline)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/combinefn_lifecycle_pipeline.py";,>
 line 127, in run_pardo
    _ = (
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 580, in __exit__
    self.result = self.run()
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
 line 110, in run
    result = super(TestPipeline, self).run(
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 527, in run
    return Pipeline.from_runner_api(
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 559, in run
    return self.runner.run_pipeline(self, self._options)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,>
 line 56, in run_pipeline
    self.result = super(TestDataflowRunner,
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 504, in run_pipeline
    artifacts=environments.python_sdk_dependencies(options)))
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/transforms/environments.py";,>
 line 738, in python_sdk_dependencies
    staged_name in stager.Stager.create_job_resources(
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/portability/stager.py";,>
 line 176, in create_job_resources
    (
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/utils/retry.py";,>
 line 260, in wrapper
    return fun(*args, **kwargs)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/portability/stager.py";,>
 line 569, in _populate_requirements_cache
    processes.check_output(cmd_args, stderr=processes.STDOUT)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/utils/processes.py";,>
 line 96, in check_output
    raise RuntimeError( \
RuntimeError: Full traceback: Traceback (most recent call last):
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/utils/processes.py";,>
 line 91, in check_output
    out = subprocess.check_output(*args, **kwargs)
  File "/usr/lib/python3.8/subprocess.py", line 411, in check_output
    return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
  File "/usr/lib/python3.8/subprocess.py", line 512, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command 
'['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python',>
 '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', 
'postcommit_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']' 
returned non-zero exit status 1.
 
 Pip install failed for package: -r           
 Output from execution of subprocess: b'Collecting mock<3.0.0\n  File was 
already downloaded 
/tmp/dataflow-requirements-cache/mock-2.0.0.tar.gz\nCollecting 
parameterized<0.8.0,>=0.7.1\n  File was already downloaded 
/tmp/dataflow-requirements-cache/parameterized-0.7.5.tar.gz\nCollecting 
pyhamcrest!=1.10.0,<2.0.0\n  File was already downloaded 
/tmp/dataflow-requirements-cache/PyHamcrest-1.10.1.tar.gz\n    ERROR: Command 
errored out with exit status 1:\n     command: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python>
 -c \'import sys, setuptools, tokenize; sys.argv[0] = 
\'"\'"\'/tmp/pip-download-4vodehp1/pyhamcrest_dcd4f407e17848c9bb6cdf543a1095cc/setup.py\'"\'"\';
 
__file__=\'"\'"\'/tmp/pip-download-4vodehp1/pyhamcrest_dcd4f407e17848c9bb6cdf543a1095cc/setup.py\'"\'"\';f=getattr(tokenize,
 \'"\'"\'open\'"\'"\', 
open)(__file__);code=f.read().replace(\'"\'"\'\\r\\n\'"\'"\', 
\'"\'"\'\\n\'"\'"\');f.close();exec(compile(code, __file__, 
\'"\'"\'exec\'"\'"\'))\' egg_info --egg-base /tmp/pip-pip-egg-info-mlhcyd5q\n   
      cwd: 
/tmp/pip-download-4vodehp1/pyhamcrest_dcd4f407e17848c9bb6cdf543a1095cc/\n    
Complete output (5 lines):\n    Traceback (most recent call last):\n      File 
"<string>", line 1, in <module>\n      File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/lib/python3.8/tokenize.py";,>
 line 392, in open\n        buffer = _builtin_open(filename, \'rb\')\n    
FileNotFoundError: [Errno 2] No such file or directory: 
\'/tmp/pip-download-4vodehp1/pyhamcrest_dcd4f407e17848c9bb6cdf543a1095cc/setup.py\'\n
    ----------------------------------------\nERROR: Command errored out with 
exit status 1: python setup.py egg_info Check the logs for full command 
output.\n'
-------------------- >> begin captured logging << --------------------
apache_beam.transforms.core: WARNING: Key coder FastPrimitivesCoder for 
transform <ParDo(PTransform) label=[Do]> with stateful DoFn may not be 
deterministic. This may cause incorrect behavior for complex key types. 
Consider adding an input type hint for this transform.
apache_beam.runners.portability.stager: INFO: Executing command: 
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python',>
 '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', 
'postcommit_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']
--------------------- >> end captured logging << ---------------------
Worker logs: 
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----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py38.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 30 tests in 2619.448s

FAILED (errors=1)

> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests 
> FAILED

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
 line: 146

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py38:validatesRunnerBatchTests'.
> Process 'command 'sh'' finished with non-zero exit value 1

* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug 
option to get more log output. Run with --scan to get full insights.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
 line: 175

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests'.
> Process 'command 'sh'' finished with non-zero exit value 1

* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug 
option to get more log output. Run with --scan to get full insights.
==============================================================================

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/6.8/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 23m 49s
81 actionable tasks: 51 executed, 30 from cache

Publishing build scan...
https://gradle.com/s/fzr6jdkri6jau

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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