See 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3479/display/redirect>

Changes:


------------------------------------------
[...truncated 1.12 MB...]
                {
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        "pubsub_topic": 
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      }
    }
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  "type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2020-11-12T12:34:48.815203Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2020-11-12_04_34_47-13391491182522221316'
 location: 'us-central1'
 name: 'beamapp-jenkins-1112123439-067402'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2020-11-12T12:34:48.815203Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2020-11-12_04_34_47-13391491182522221316]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2020-11-12_04_34_47-13391491182522221316
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-12_04_34_47-13391491182522221316?project=apache-beam-testing

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:20.003Z: 
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:2020-11-12T12:34:20.003Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2020-11-12_04_34_19-16471673383606135296. The number of workers will be between 
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:20.003Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2020-11-12_04_34_19-16471673383606135296.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:25.171Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:25.742Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:25.801Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:25.920Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:25.953Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not 
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:25.994Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.024Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.091Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.184Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.215Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.248Z: 
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.285Z: 
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.310Z: 
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.366Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into 
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.401Z: 
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into 
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.426Z: 
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.463Z: 
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.504Z: 
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.537Z: 
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.569Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.603Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into 
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.647Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.674Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.708Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:26.742Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:27.891Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:27.914Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:27.950Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:49.229Z: 
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:2020-11-12T12:34:52.311Z: 
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.

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-11-12_04_34_47-13391491182522221316 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:47.541Z: 
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:2020-11-12T12:34:47.541Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2020-11-12_04_34_47-13391491182522221316.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:47.541Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2020-11-12_04_34_47-13391491182522221316. The number of workers will be between 
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:55.795Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:56.678Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:56.772Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:56.854Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:56.890Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not 
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:56.933Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:56.965Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.039Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.095Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.143Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.178Z: 
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.227Z: 
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.273Z: 
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.309Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into 
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.342Z: 
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into 
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.381Z: 
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.424Z: 
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.456Z: 
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.489Z: 
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.527Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.563Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into 
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.649Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.690Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.729Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:57.769Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:58.947Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:59.004Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:34:59.039Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:35:17.863Z: 
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

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:35:27.881Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:35:27.925Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:35:34.467Z: 
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:2020-11-12T12:36:04.365Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T12:36:04.469Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2020-11-12_04_34_19-16471673383606135296 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of 
auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth 
process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using 
them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth 
process...
DEBUG:google.auth._default:No App Engine library was found so cannot 
authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET 
http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET 
http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): 
metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 
200 144
DEBUG:google.auth.transport.requests:Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
 HTTP/1.1" 200 241

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2020-11-12_04_34_47-13391491182522221316 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of 
auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth 
process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using 
them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth 
process...
DEBUG:google.auth._default:No App Engine library was found so cannot 
authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET 
http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET 
http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): 
metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 
200 144
DEBUG:google.auth.transport.requests:Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
 HTTP/1.1" 200 241

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-12_04_34_19-16471673383606135296?project=apache-beam-testing
test_streaming_wordcount_it 
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 498.146s

OK

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-12_04_34_47-13391491182522221316?project=apache-beam-testing
test_streaming_wordcount_it 
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 580.596s

OK

> Task :sdks:python:test-suites:dataflow:preCommitIT_V2

FAILURE: Build completed with 3 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task 
':sdks:python:test-suites:tox:py38:testPy38CloudCoverage'.
> 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.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py37:testPy37Cloud'.
> 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.
==============================================================================

3: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py36:testPy36Cloud'.
> 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/6.7/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 38m 10s
98 actionable tasks: 77 executed, 21 from cache

Publishing build scan...
https://gradle.com/s/b6jj4rih2kf7s

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

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