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Building wheels for collected packages: apache-beam
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Installing collected packages: pyasn1, urllib3, rsa, pycparser, pyasn1-modules, 
idna, chardet, certifi, cachetools, wcwidth, requests, pytz, python-dateutil, 
oauthlib, more-itertools, jmespath, httplib2, googleapis-common-protos, 
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requests-oauthlib, pytest, numpy, isodate, grpcio-gcp, google-crc32c, 
google-auth-httplib2, google-api-core, docopt, botocore, apipkg, wrapt, 
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Successfully installed apache-beam-2.31.0.dev0 apipkg-1.5 atomicwrites-1.4.0 
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";>
 to staging location.
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.7 interpreter.
INFO:root:Default Python SDK image for environment is 
apache/beam_python3.7_sdk:2.31.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210526
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210526" for Docker 
environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the 
temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/pickled_main_session...
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/pickled_main_session
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/dataflow_python_sdk.tar
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/dataflow-****.jar
 in 4 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0601150501.1622562627.917641/pipeline.pb
 in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--pubsub_namespace_prefix=pubsub_io_performance_']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--pubsub_namespace_prefix=pubsub_io_performance_']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-06-01T15:50:34.159700Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-06-01_08_50_32-4101921597764908275'
 location: 'us-central1'
 name: 'performance-tests-psio-python-2gb0601150501'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-06-01T15:50:34.159700Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-06-01_08_50_32-4101921597764908275]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-06-01_08_50_32-4101921597764908275
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-01_08_50_32-4101921597764908275?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-06-01_08_50_32-4101921597764908275 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:32.889Z: 
JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use 
--experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:32.889Z: 
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use 
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:38.860Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:39.655Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:39.699Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:39.760Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:39.784Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Create 
input/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a 
combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:39.821Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:39.847Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.020Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.074Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.103Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.131Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Split into Create 
input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.166Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/AddRandomKeys into 
Create input/Split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.205Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create 
input/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.272Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into Create 
input/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.299Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.328Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.348Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/RemoveRandomKeys 
into Create input/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.380Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/ReadSplits into Create 
input/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.414Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into 
Create input/ReadSplits
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.448Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub 
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.480Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure 
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.506Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write/NativeWrite into 
Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.534Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.561Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.586Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.616Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.667Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.699Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:40.721Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:50:55.430Z: 
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:2021-06-01T15:51:23.942Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the 
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:51:57.611Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:51:57.638Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:59:42.372Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:59:42.411Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:59:42.444Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:59:42.497Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T15:59:42.583Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T16:00:38.185Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of ****s to 0 based on 
low average **** CPU utilization, and the pipeline having sufficiently low 
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T16:00:38.236Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-01T16:00:38.270Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2021-06-01_08_50_32-4101921597764908275 after 602 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 407fc5e57e294f409f64522e396fe5b4 and timestamp: 1622563250.1479702:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_write_runtime Value: 96
Traceback (most recent call last):
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-01_08_50_32-4101921597764908275?project=apache-beam-testing
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,>
 line 223, in <module>
    PubsubReadPerfTest().run()
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
 line 147, in run
    self.test()
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,>
 line 183, in test
    | 'Write to Pubsub' >> beam.io.WriteToPubSub(self.matcher_topic_name))
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pvalue.py";,>
 line 136, in __or__
    return self.pipeline.apply(ptransform, self)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 641, in apply
    transform.transform, pvalueish, label or transform.label)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 651, in apply
    return self.apply(transform, pvalueish)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 694, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 141, in apply
    return super(DataflowRunner, self).apply(transform, input, options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/runner.py";,>
 line 185, in apply
    return m(transform, input, options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/runner.py";,>
 line 215, in apply_PTransform
    return transform.expand(input)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/transforms/core.py";,>
 line 1913, in expand
    | 'UnKey' >> Map(lambda k_v: k_v[1]))
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pvalue.py";,>
 line 136, in __or__
    return self.pipeline.apply(ptransform, self)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 641, in apply
    transform.transform, pvalueish, label or transform.label)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 651, in apply
    return self.apply(transform, pvalueish)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 694, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 141, in apply
    return super(DataflowRunner, self).apply(transform, input, options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/runner.py";,>
 line 185, in apply
    return m(transform, input, options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/runner.py";,>
 line 215, in apply_PTransform
    return transform.expand(input)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/transforms/core.py";,>
 line 2052, in expand
    return pcoll | GroupByKey() | 'Combine' >> CombineValues(
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pvalue.py";,>
 line 136, in __or__
    return self.pipeline.apply(ptransform, self)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 694, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 141, in apply
    return super(DataflowRunner, self).apply(transform, input, options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/runner.py";,>
 line 185, in apply
    return m(transform, input, options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 820, in apply_GroupByKey
    return transform.expand(pcoll)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/transforms/core.py";,>
 line 2335, in expand
    raise ValueError(msg)
ValueError: Unsafe trigger: `Repeatedly(AfterCount(2097152))` may lose data. 
Reason: CONDITION_NOT_GUARANTEED. This can be overriden with the 
--allow_unsafe_triggers flag.

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file 
'<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
 line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* 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/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 11m 32s
80 actionable tasks: 51 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/72xramd6i6b4g

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

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