HBASE-22285 A normalizer which merges small size regions with adjacen…

…t regions

@virajjasani - FYI

We can include TestMergeNormalizer

:broken_heart: -1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
1m 11s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  0s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

-0 :warning:
test4tests
0m  0s
The patch doesn't appear to include any new or modified tests. Please justify why no new tests are needed for this patch. Also please list what manual steps were performed to verify this patch.

_ master Compile Tests _

+0 :ok:
mvndep
0m 42s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
5m 43s
master passed

+1 :green_heart:
compile
1m 20s
master passed

+1 :green_heart:
checkstyle
1m 57s
master passed

+1 :green_heart:
shadedjars
5m  7s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
0m 57s
master passed

+0 :ok:
spotbugs
4m 42s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
5m 28s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 13s
Maven dependency ordering for patch

-1 :x:
mvninstall
2m 59s
root in the patch failed.

+1 :green_heart:
compile
1m 20s
the patch passed

+1 :green_heart:
javac
1m 20s
the patch passed

-1 :x:
checkstyle
1m 27s
hbase-server: The patch generated 7 new + 0 unchanged - 0 fixed = 7 total (was 0)

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

-1 :x:
shadedjars
3m 58s
patch has 11 errors when building our shaded downstream artifacts.

-1 :x:
hadoopcheck
2m 17s
The patch causes 11 errors with Hadoop v2.8.5.

-1 :x:
hadoopcheck
4m 34s
The patch causes 11 errors with Hadoop v2.9.2.

-1 :x:
hadoopcheck
6m 54s
The patch causes 11 errors with Hadoop v3.1.2.

+1 :green_heart:
javadoc
0m 52s
the patch passed

+1 :green_heart:
findbugs
5m 43s
the patch passed

_ Other Tests _

+1 :green_heart:
unit
3m  5s
hbase-common in the patch passed.

-1 :x:
unit
0m 59s
hbase-server in the patch failed.

+1 :green_heart:
asflicense
0m 20s
The patch does not generate ASF License warnings.

52m 12s

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile

uname
Linux 19887a464cec 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / 06eff551c3

Default Java
1.8.0_181

mvninstall
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/patch-mvninstall-root.txt

checkstyle
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/diff-checkstyle-hbase-server.txt

shadedjars
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/patch-shadedjars.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/patch-javac-2.8.5.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/patch-javac-2.9.2.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/patch-javac-3.1.2.txt

unit
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/artifact/out/patch-unit-hbase-server.txt

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/testReport/

Max. process+thread count
254 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/1/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

@wchevreuil FYI, this is PR for master.
branch-1 PR: https://github.com/apache/hbase/pull/931

:broken_heart: -1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
1m 43s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  0s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

+1 :green_heart:
test4tests
0m  0s
The patch appears to include 1 new or modified test files.

_ master Compile Tests _

+0 :ok:
mvndep
0m 37s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
7m 19s
master passed

+1 :green_heart:
compile
1m 29s
master passed

+1 :green_heart:
checkstyle
1m 59s
master passed

+0 :ok:
refguide
6m 25s
branch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  4s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
0m 56s
master passed

+0 :ok:
spotbugs
4m 57s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
5m 43s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 13s
Maven dependency ordering for patch

-1 :x:
mvninstall
2m 29s
root in the patch failed.

-1 :x:
compile
0m 16s
hbase-server in the patch failed.

-1 :x:
javac
0m 16s
hbase-server in the patch failed.

-1 :x:
checkstyle
1m 24s
hbase-server: The patch generated 7 new + 0 unchanged - 0 fixed = 7 total (was 0)

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

+1 :green_heart:
xml
0m  1s
The patch has no ill-formed XML file.

+0 :ok:
refguide
6m 21s
patch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

-1 :x:
shadedjars
3m 32s
patch has 10 errors when building our shaded downstream artifacts.

-1 :x:
hadoopcheck
1m 43s
The patch causes 10 errors with Hadoop v2.8.5.

-1 :x:
hadoopcheck
3m 30s
The patch causes 10 errors with Hadoop v2.9.2.

-1 :x:
hadoopcheck
5m 19s
The patch causes 10 errors with Hadoop v3.1.2.

+1 :green_heart:
javadoc
0m 53s
the patch passed

-1 :x:
findbugs
0m 15s
hbase-server in the patch failed.

_ Other Tests _

+1 :green_heart:
unit
3m  5s
hbase-common in the patch passed.

-1 :x:
unit
0m 17s
hbase-server in the patch failed.

+1 :green_heart:
asflicense
0m 19s
The patch does not generate ASF License warnings.

59m  4s

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile refguide xml

uname
Linux e0127176a5d8 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / 2a4bd0574b

Default Java
1.8.0_181

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/branch-site/book.html

mvninstall
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-mvninstall-root.txt

compile
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-compile-hbase-server.txt

javac
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-compile-hbase-server.txt

checkstyle
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/diff-checkstyle-hbase-server.txt

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-site/book.html

shadedjars
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-shadedjars.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-javac-2.8.5.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-javac-2.9.2.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-javac-3.1.2.txt

findbugs
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-findbugs-hbase-server.txt

unit
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/artifact/out/patch-unit-hbase-server.txt

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/testReport/

Max. process+thread count
254 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/2/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

:broken_heart: -1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
1m  7s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  0s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

+1 :green_heart:
test4tests
0m  0s
The patch appears to include 1 new or modified test files.

_ master Compile Tests _

+0 :ok:
mvndep
0m 33s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
5m 48s
master passed

+1 :green_heart:
compile
1m 20s
master passed

+1 :green_heart:
checkstyle
1m 56s
master passed

+0 :ok:
refguide
6m 20s
branch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  3s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
0m 56s
master passed

+0 :ok:
spotbugs
4m 59s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
5m 45s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 14s
Maven dependency ordering for patch

-1 :x:
mvninstall
2m 58s
root in the patch failed.

+1 :green_heart:
compile
1m 18s
the patch passed

+1 :green_heart:
javac
1m 18s
the patch passed

-1 :x:
checkstyle
1m 28s
hbase-server: The patch generated 5 new + 0 unchanged - 0 fixed = 5 total (was 0)

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

+1 :green_heart:
xml
0m  1s
The patch has no ill-formed XML file.

+0 :ok:
refguide
6m 18s
patch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

-1 :x:
shadedjars
3m 58s
patch has 11 errors when building our shaded downstream artifacts.

-1 :x:
hadoopcheck
2m 14s
The patch causes 11 errors with Hadoop v2.8.5.

-1 :x:
hadoopcheck
4m 32s
The patch causes 11 errors with Hadoop v2.9.2.

-1 :x:
hadoopcheck
6m 50s
The patch causes 11 errors with Hadoop v3.1.2.

+1 :green_heart:
javadoc
0m 53s
the patch passed

+1 :green_heart:
findbugs
6m  1s
the patch passed

_ Other Tests _

+1 :green_heart:
unit
3m  6s
hbase-common in the patch passed.

-1 :x:
unit
1m  0s
hbase-server in the patch failed.

+1 :green_heart:
asflicense
0m 20s
The patch does not generate ASF License warnings.

65m 13s

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile refguide xml

uname
Linux 271fdd5013d7 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / 2a4bd0574b

Default Java
1.8.0_181

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/branch-site/book.html

mvninstall
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-mvninstall-root.txt

checkstyle
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/diff-checkstyle-hbase-server.txt

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-site/book.html

shadedjars
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-shadedjars.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-javac-2.8.5.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-javac-2.9.2.txt

hadoopcheck
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-javac-3.1.2.txt

unit
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/artifact/out/patch-unit-hbase-server.txt

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/testReport/

Max. process+thread count
253 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/3/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

How does this relate to #931  ? Different branches? Thanks.

How does this relate to #931 ? Different branches? Thanks.
Yes . That is for branch-1. And they are bit different so created two PR

:broken_heart: -1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
3m 58s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  0s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

+1 :green_heart:
test4tests
0m  0s
The patch appears to include 1 new or modified test files.

_ master Compile Tests _

+0 :ok:
mvndep
0m 34s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
6m  6s
master passed

+1 :green_heart:
compile
1m 32s
master passed

+1 :green_heart:
checkstyle
2m  8s
master passed

+0 :ok:
refguide
7m  2s
branch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m 16s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
0m 56s
master passed

+0 :ok:
spotbugs
5m 25s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
6m 24s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 17s
Maven dependency ordering for patch

+1 :green_heart:
mvninstall
5m 42s
the patch passed

+1 :green_heart:
compile
1m 24s
the patch passed

+1 :green_heart:
javac
1m 24s
the patch passed

-1 :x:
checkstyle
1m 30s
hbase-server: The patch generated 4 new + 0 unchanged - 0 fixed = 4 total (was 0)

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

+1 :green_heart:
xml
0m  1s
The patch has no ill-formed XML file.

+0 :ok:
refguide
6m 26s
patch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m 34s
patch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
hadoopcheck
18m 11s
Patch does not cause any errors with Hadoop 2.8.5 2.9.2 or 3.1.2.

+1 :green_heart:
javadoc
0m 54s
the patch passed

+1 :green_heart:
findbugs
6m 13s
the patch passed

_ Other Tests _

+1 :green_heart:
unit
3m  7s
hbase-common in the patch passed.

-1 :x:
unit
161m 29s
hbase-server in the patch failed.

+1 :green_heart:
asflicense
0m 52s
The patch does not generate ASF License warnings.

253m 21s

Reason
Tests

Failed junit tests
hadoop.hbase.master.assignment.TestRegionMoveAndAbandon

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit refguide xml spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile

uname
Linux e50455bf97f3 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / ab9766599d

Default Java
1.8.0_181

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/artifact/out/branch-site/book.html

checkstyle
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/artifact/out/diff-checkstyle-hbase-server.txt

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/artifact/out/patch-site/book.html

unit
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/artifact/out/patch-unit-hbase-server.txt

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/testReport/

Max. process+thread count
4893 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/4/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

:broken_heart: -1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
1m  5s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  0s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

+1 :green_heart:
test4tests
0m  0s
The patch appears to include 1 new or modified test files.

_ master Compile Tests _

+0 :ok:
mvndep
0m 33s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
5m 51s
master passed

+1 :green_heart:
compile
1m 20s
master passed

+1 :green_heart:
checkstyle
1m 56s
master passed

+0 :ok:
refguide
6m 25s
branch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  5s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
0m 57s
master passed

+0 :ok:
spotbugs
5m  2s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
5m 48s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 13s
Maven dependency ordering for patch

+1 :green_heart:
mvninstall
5m 30s
the patch passed

+1 :green_heart:
compile
1m 21s
the patch passed

+1 :green_heart:
javac
1m 21s
the patch passed

-1 :x:
checkstyle
1m 26s
hbase-server: The patch generated 1 new + 0 unchanged - 0 fixed = 1 total (was 0)

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

+1 :green_heart:
xml
0m  1s
The patch has no ill-formed XML file.

+0 :ok:
refguide
6m 19s
patch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  2s
patch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
hadoopcheck
17m 32s
Patch does not cause any errors with Hadoop 2.8.5 2.9.2 or 3.1.2.

+1 :green_heart:
javadoc
0m 56s
the patch passed

+1 :green_heart:
findbugs
5m 58s
the patch passed

_ Other Tests _

+1 :green_heart:
unit
3m  9s
hbase-common in the patch passed.

+1 :green_heart:
unit
156m 50s
hbase-server in the patch passed.

+1 :green_heart:
asflicense
0m 50s
The patch does not generate ASF License warnings.

241m 51s

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/5/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit refguide xml spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile

uname
Linux 1a6e3fc807d0 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / ab9766599d

Default Java
1.8.0_181

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/5/artifact/out/branch-site/book.html

checkstyle
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/5/artifact/out/diff-checkstyle-hbase-server.txt

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/5/artifact/out/patch-site/book.html

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/5/testReport/

Max. process+thread count
5356 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/5/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

:confetti_ball: +1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
1m  5s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  1s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

+1 :green_heart:
test4tests
0m  0s
The patch appears to include 1 new or modified test files.

_ master Compile Tests _

+0 :ok:
mvndep
0m 34s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
5m 47s
master passed

+1 :green_heart:
compile
1m 24s
master passed

+1 :green_heart:
checkstyle
1m 59s
master passed

+0 :ok:
refguide
6m 23s
branch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  1s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
0m 57s
master passed

+0 :ok:
spotbugs
4m 42s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
5m 29s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 14s
Maven dependency ordering for patch

+1 :green_heart:
mvninstall
5m 25s
the patch passed

+1 :green_heart:
compile
1m 20s
the patch passed

+1 :green_heart:
javac
1m 20s
the patch passed

+1 :green_heart:
checkstyle
1m 54s
the patch passed

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

+1 :green_heart:
xml
0m  1s
The patch has no ill-formed XML file.

+0 :ok:
refguide
6m 21s
patch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  0s
patch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
hadoopcheck
17m 18s
Patch does not cause any errors with Hadoop 2.8.5 2.9.2 or 3.1.2.

+1 :green_heart:
javadoc
0m 55s
the patch passed

+1 :green_heart:
findbugs
5m 51s
the patch passed

_ Other Tests _

+1 :green_heart:
unit
3m  6s
hbase-common in the patch passed.

+1 :green_heart:
unit
159m 27s
hbase-server in the patch passed.

+1 :green_heart:
asflicense
0m 48s
The patch does not generate ASF License warnings.

243m 16s

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/6/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit refguide xml spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile

uname
Linux 5986404dc310 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / ab9766599d

Default Java
1.8.0_181

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/6/artifact/out/branch-site/book.html

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/6/artifact/out/patch-site/book.html

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/6/testReport/

Max. process+thread count
5418 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/6/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

@saintstack sir, any suggestions from your side?

:broken_heart: -1 overall

Vote
Subsystem
Runtime
Comment

+0 :ok:
reexec
1m  9s
Docker mode activated.

_ Prechecks _

+1 :green_heart:
dupname
0m  0s
No case conflicting files found.

+1 :green_heart:
hbaseanti
0m  0s
Patch does not have any anti-patterns.

+1 :green_heart:
@author
0m  0s
The patch does not contain any @author tags.

+1 :green_heart:
test4tests
0m  0s
The patch appears to include 1 new or modified test files.

_ master Compile Tests _

+0 :ok:
mvndep
0m 34s
Maven dependency ordering for branch

+1 :green_heart:
mvninstall
5m 52s
master passed

+1 :green_heart:
compile
1m 28s
master passed

+1 :green_heart:
checkstyle
2m  1s
master passed

+0 :ok:
refguide
6m 26s
branch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m  6s
branch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
javadoc
1m  4s
master passed

+0 :ok:
spotbugs
5m 39s
Used deprecated FindBugs config; considering switching to SpotBugs.

+1 :green_heart:
findbugs
6m 27s
master passed

_ Patch Compile Tests _

+0 :ok:
mvndep
0m 16s
Maven dependency ordering for patch

+1 :green_heart:
mvninstall
5m 43s
the patch passed

+1 :green_heart:
compile
1m 23s
the patch passed

+1 :green_heart:
javac
1m 23s
the patch passed

+1 :green_heart:
checkstyle
1m 55s
the patch passed

+1 :green_heart:
whitespace
0m  0s
The patch has no whitespace issues.

+1 :green_heart:
xml
0m  2s
The patch has no ill-formed XML file.

+0 :ok:
refguide
6m 18s
patch has no errors when building the reference guide. See footer for rendered docs, which you should manually inspect.

+1 :green_heart:
shadedjars
5m 40s
patch has no errors when building our shaded downstream artifacts.

+1 :green_heart:
hadoopcheck
21m 35s
Patch does not cause any errors with Hadoop 2.8.5 2.9.2 or 3.1.2.

+1 :green_heart:
javadoc
1m 13s
the patch passed

+1 :green_heart:
findbugs
6m 44s
the patch passed

_ Other Tests _

+1 :green_heart:
unit
3m 29s
hbase-common in the patch passed.

-1 :x:
unit
169m 22s
hbase-server in the patch failed.

+1 :green_heart:
asflicense
0m 50s
The patch does not generate ASF License warnings.

264m  3s

Reason
Tests

Failed junit tests
hadoop.hbase.master.TestMasterShutdown

Subsystem
Report/Notes

Docker
Client=19.03.5 Server=19.03.5 base: https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/7/artifact/out/Dockerfile

GITHUB PR
https://github.com/apache/hbase/pull/978

Optional Tests
dupname asflicense javac javadoc unit refguide xml spotbugs findbugs shadedjars hadoopcheck hbaseanti checkstyle compile

uname
Linux 7e8d6fb1b3d6 4.15.0-66-generic #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 x86_64 GNU/Linux

Build tool
maven

Personality
/home/jenkins/jenkins-slave/workspace/HBase-PreCommit-GitHub-PR_PR-978/out/precommit/personality/provided.sh

git revision
master / 5a7c9443e9

Default Java
1.8.0_181

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/7/artifact/out/branch-site/book.html

refguide
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/7/artifact/out/patch-site/book.html

unit
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/7/artifact/out/patch-unit-hbase-server.txt

Test Results
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/7/testReport/

Max. process+thread count
5467 (vs. ulimit of 10000)

modules
C: hbase-common hbase-server U: .

Console output
https://builds.apache.org/job/HBase-PreCommit-GitHub-PR/job/PR-978/7/console

versions
git=2.11.0 maven=2018-06-17T18:33:14Z) findbugs=3.1.11

Powered by
Apache Yetus 0.11.1 https://yetus.apache.org

This message was automatically generated.

The failure looks unrelated. It is for some other test. Infact in last push i only changed comments.
@virajjasani - FYI


Key Lime Pyrewall (bow to it)

Key Lime Pyrewall (bow to it)
Ingredients
2/3 cup graham cracker crumbs
2 tablespoons sugar
3 tablespoons butter, melted
FILLING:
1/2 cup sugar
2 tablespoons all-purpose flour
1 tablespoon plus 1-1/2 teaspoons cornstarch
1/8 teaspoon salt
1 cup water
1 drop green food coloring, optional
2 egg yolks, beaten
2 tablespoons key lime juice
1 teaspoon butter
1/2 teaspoon grated lime peel
Directions:
In a small bowl, mix cracker crumbs and sugar
Stir in butter.
Press onto the bottom and up the sides of a 7-inch pie plate coated with cooking spray (your choice)
Bake at 325° for 10 minutes or until lightly browned.
Let cool. You be cool too :-)
In a small saucepan, combine the sugar, flour, cornstarch and salt.
Stir in water and food coloring if desired. Note:real Key lime has no food coloring.
Cook and stir over medium heat until thickened.
Remove from the heat.
Stir a small amount of hot filling into egg yolks.
Pour it to the pan, stirring constantly. Bring to a gentle boil; cook and stir 2 minutes longer.
Remove from the heat.
Stir in lime juice, butter and (grated) lime peel.
Pour into crust. Cool for 15 minutes.
Refrigerate for 1-2 hours or until it sets up & congeals.
Garnish with whipped cream if you want.
Serving:
Best part:
Cut a wedge
Place on a rather size-able plate (NOT PAPER!)
Drizzle a ring of White Rum or Citrus vodka (or your favorite citrusy moonshine? around the wedge in a circle.
Light her up. Serve to guests.
Try not to burn down your space.

You did a good job updating the credits.md file.
Could you create a new .md file that has your recipe in it also?

Thought I did must not have. Sorry.

On Feb 5, 2017, at 3:51 PM, FrankTheTank<EMAIL_ADDRESS>wrote:
You did a good job updating the credits.md file.
Could you create a new .md file that has your recipe in it also?
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub https://github.com/theDevilsVoice/1337-Noms-The-Hacker-Cookbook/pull/14#issuecomment-277548194, or mute the thread https://github.com/notifications/unsubscribe-auth/AHpLH-lnXjhBeeltS0LRBp40BD_jH3kyks5rZjY7gaJpZM4L3nen.


No UNDEPLOY available

There is no way to stop a deployment and worst I don't even see what deployment is ongoing anywhere to stop it
Does this occur consistently?   Yes
Repro steps:

Deploy webapp to app services

Action: appService.Deploy
Error type: 409
Error Message: There is a deployment currently in progress. Please try again when it completes.
Version: 0.17.0
OS: win32
OS Release: 10.0.18363
Product: Visual Studio Code
Product Version: 1.46.0
Language: en

Call Stack
extension.bundle.js:309:399343extension.bundle.js:309:399343
retryCallback extension.bundle.js:225:116429
retryCallback extension.bundle.js:157:31051
extension.bundle.js:157:32664extension.bundle.js:157:32664
handleRedirect extension.bundle.js:171:7747
extension.bundle.js:157:29836extension.bundle.js:157:29836
Request._callback extension.bundle.js:1:584775
Request.r._callback.r.callback.r.callback extension.bundle.js:201:4468
Request.emit events.js:203:13
Request.<anonymous> extension.bundle.js:201:17577
Request.emit events.js:208:15
IncomingMessage.<anonymous> extension.bundle.js:201:16367
Object.onceWrapper events.js:291:20
IncomingMessage.emit events.js:208:15
endReadableNT _stream_readable.js:1168:12
processTicksAndRejections task_queues.js:77:11

Dupe of https://github.com/microsoft/vscode-azureappservice/issues/1589


ValueError: axis = 0 not in [0, 0)

python /home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/train.py --logtostderr=/home/gopalakrishna/log_dir --pipeline_config_path=/home/gopalakrishna/PathToConfig/ssd_mobilenet_v1_coco.config --train_dir=/home/gopalakrishna/model
/home/gopalakrishna/anaconda2/lib/python2.7/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/train.py", line 198, in
tf.app.run()
File "/home/gopalakrishna/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/trainer.py", line 192, in train
clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/slim/deployment/model_deploy.py", line 193, in create_clones
outputs = model_fn(*args, **kwargs)
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/trainer.py", line 133, in _create_losses
losses_dict = detection_model.loss(prediction_dict)
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/meta_architectures/ssd_meta_arch.py", line 431, in loss
location_losses, cls_losses, prediction_dict, match_list)
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/meta_architectures/ssd_meta_arch.py", line 565, in _apply_hard_mining
match_list=match_list)
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/core/losses.py", line 445, in call
location_losses = tf.unstack(location_losses)
File "/home/gopalakrishna/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 989, in unstack
(axis, -value_shape.ndims, value_shape.ndims))
ValueError: axis = 0 not in [0, 0)

please help me anybody

check the pipeline.config file it has these lines:
fine_tune_checkpoint: "PATH_TO_CKPT/model.ckpt"
from_detection_checkpoint: false

change the second line to "true" instead of "false":
from_detection_checkpoint: true

ya i did like that only
see this is my pipeline.config file
SSD with Mobilenet v1 configuration for MSCOCO Dataset.
Users should configure the fine_tune_checkpoint field in the train config as
well as the label_map_path and input_path fields in the train_input_reader and
eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
should be configured.
model {
ssd {
num_classes: 1
box_coder {
faster_rcnn_box_coder {
y_scale: 10.0
x_scale: 10.0
height_scale: 5.0
width_scale: 5.0
}
}
matcher {
argmax_matcher {
matched_threshold: 0.5
unmatched_threshold: 0.5
ignore_thresholds: false
negatives_lower_than_unmatched: true
force_match_for_each_row: true
}
}
similarity_calculator {
iou_similarity {
}
}
anchor_generator {
ssd_anchor_generator {
num_layers: 6
min_scale: 0.2
max_scale: 0.95
aspect_ratios: 1.0
aspect_ratios: 2.0
aspect_ratios: 0.5
aspect_ratios: 3.0
aspect_ratios: 0.3333
}
}
image_resizer {
fixed_shape_resizer {
height: 300
width: 300
}
}
box_predictor {
convolutional_box_predictor {
min_depth: 0
max_depth: 0
num_layers_before_predictor: 0
use_dropout: false
dropout_keep_probability: 0.8
kernel_size: 1
box_code_size: 4
apply_sigmoid_to_scores: false
conv_hyperparams {
activation: RELU_6,
regularizer {
l2_regularizer {
weight: 0.00004
}
}
initializer {
truncated_normal_initializer {
stddev: 0.03
mean: 0.0
}
}
batch_norm {
train: true,
scale: true,
center: true,
decay: 0.9997,
epsilon: 0.001,
}
}
}
}
feature_extractor {
type: 'ssd_mobilenet_v1'
min_depth: 16
depth_multiplier: 1.0
conv_hyperparams {
activation: RELU_6,
regularizer {
l2_regularizer {
weight: 0.00004
}
}
initializer {
truncated_normal_initializer {
stddev: 0.03
mean: 0.0
}
}
batch_norm {
train: true,
scale: true,
center: true,
decay: 0.9997,
epsilon: 0.001,
}
}
}
loss {
classification_loss {
weighted_sigmoid {
}
}
localization_loss {
weighted_smooth_l1 {
}
}
hard_example_miner {
num_hard_examples: 3000
iou_threshold: 0.99
loss_type: CLASSIFICATION
max_negatives_per_positive: 3
min_negatives_per_image: 0
}
classification_weight: 1.0
localization_weight: 1.0
}
normalize_loss_by_num_matches: true
post_processing {
batch_non_max_suppression {
score_threshold: 1e-8
iou_threshold: 0.6
max_detections_per_class: 100
max_total_detections: 100
}
score_converter: SIGMOID
}
}
}
train_config: {
batch_size: 24
optimizer {
rms_prop_optimizer: {
learning_rate: {
exponential_decay_learning_rate {
initial_learning_rate: 0.004
decay_steps: 800720
decay_factor: 0.95
}
}
momentum_optimizer_value: 0.9
decay: 0.9
epsilon: 1.0
}
}
fine_tune_checkpoint:"/home/gopalakrishna/PathToConfig/model.ckpt.data-00000-of-00001"
from_detection_checkpoint: true
Note: The below line limits the training process to 200K steps, which we
empirically found to be sufficient enough to train the pets dataset. This
effectively bypasses the learning rate schedule (the learning rate will
never decay). Remove the below line to train indefinitely.
num_steps: 1000
data_augmentation_options {
random_horizontal_flip {
}
}
data_augmentation_options {
ssd_random_crop {
}
}
}
train_input_reader: {
tf_record_input_reader {
input_path:"/home/gopalakrishna/PathToConfig/train.record"
}
label_map_path:"/home/gopalakrishna/PathToConfig/controlpanel_label_map.pbtxt"
}
eval_config: {
num_examples: 10
Note: The below line limits the evaluation process to 10 evaluations.
Remove the below line to evaluate indefinitely.
max_evals: 500
}
eval_input_reader: {
tf_record_input_reader {
input_path: "/home/gopalakrishna/PathToConfig/validation.record"
}
label_map_path: "/home/gopalakrishna/PathToConfig/controlpanel_label_map.pbtxt"
shuffle: false
num_readers: 1
}

Now i am getting the issue like below i think there is some issues in in tensorflow object detection api which i am using.p lease provide me the exact link what you used to train your model .
python /home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/train.py --logtostderr=/home/gopalakrishna/log_dir --pipeline_config_path=/home/gopalakrishna/PathToConfig/ssd_mobilenet_v1_pets.config --train_dir=/home/gopalakrishna/model
/home/gopalakrishna/anaconda2/lib/python2.7/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
WARNING:tensorflow:From /home/gopalakrishna/approch2/models-master/research/object_detection/trainer.py:210: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
Traceback (most recent call last):
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/train.py", line 198, in
tf.app.run()
File "/home/gopalakrishna/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/home/gopalakrishna/work/models-0375c800c767db2ef070cee1529d8a50f42d1042/object_detection/train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "/home/gopalakrishna/approch2/models-master/research/object_detection/trainer.py", line 228, in train
clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
File "/home/gopalakrishna/approch2/models-master/research/slim/deployment/model_deploy.py", line 193, in create_clones
outputs = model_fn(*args, **kwargs)
File "/home/gopalakrishna/approch2/models-master/research/object_detection/trainer.py", line 167, in _create_losses
losses_dict = detection_model.loss(prediction_dict)
File "/home/gopalakrishna/approch2/models-master/research/object_detection/meta_architectures/ssd_meta_arch.py", line 474, in loss
location_losses, cls_losses, prediction_dict, match_list)
File "/home/gopalakrishna/approch2/models-master/research/object_detection/meta_architectures/ssd_meta_arch.py", line 640, in _apply_hard_mining
match_list=match_list)
File "/home/gopalakrishna/approch2/models-master/research/object_detection/core/losses.py", line 515, in call
location_losses = tf.unstack(location_losses)
File "/home/gopalakrishna/.local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1074, in unstack
(axis, -value_shape.ndims, value_shape.ndims))
ValueError: axis = 0 not in [0, 0)

I'm having the same issue. @ngksai93 have you managed to sort it out?

you have any idea what it exactly CBITT

I have the same issue. Anyone solved it?

problem solved.
In your pipeline.config
make
loss {
classification_loss {
weighted_sigmoid {
}
}
localization_loss {
weighted_smooth_l1 {
}
}
hard_example_miner {
num_hard_examples: 3000
iou_threshold: 0.99
loss_type: CLASSIFICATION
max_negatives_per_positive: 3
min_negatives_per_image: 0
}
classification_weight: 1.0
localization_weight: 1.0
}
to
loss {
  classification_loss {
    weighted_sigmoid {
    anchorwise_output: true  #add this
    }
  }
  localization_loss {
    weighted_smooth_l1 {
    anchorwise_output: true  #add this
    }
  }
  hard_example_miner {
    num_hard_examples: 3000
    iou_threshold: 0.99
    loss_type: CLASSIFICATION
    max_negatives_per_positive: 3
    min_negatives_per_image: 0
  }
  classification_weight: 1.0
  localization_weight: 1.0
}

enjoy...

Correct. Also worked for me when I changed the config file. Damn! Wasted half a day :(

thank you harshal Garg

Finally i got solution for it . but i didn't change any code  like this in configuration file.
loss {
classification_loss {
weighted_sigmoid {
anchorwise_output: true  #add this
}
}
localization_loss {
weighted_smooth_l1 {
anchorwise_output: true  #add this
}
}
hard_example_miner {
num_hard_examples: 3000
iou_threshold: 0.99
loss_type: CLASSIFICATION
max_negatives_per_positive: 3
min_negatives_per_image: 0
}
classification_weight: 1.0
localization_weight: 1.0
}
i thought the issue with the tfrecords.
this happens because when i labelled the images two images were labelled wrongly.
may be i thought this was the issue after that i again created the tfrecords  and finally i started  training.

thank you everyone for help

Thanks a ton @HarshalGarg

Thank you @HarshalGarg !


XtraBackup method requires updated command to function

I was seeing clustering problems recently when testing a move from 10.2.15 to 10.2.23. Initial errors seen from the service were:
WSREP_SST: [INFO] Sleeping before data transfer for SST (20190503 09:36:43.758)
2019-05-03  9:36:44<PHONE_NUMBER>88000 [Note] WSREP: (10152898, 'tcp://<IP_ADDRESS>:4567') turning message relay requesting off
WSREP_SST: [INFO] Streaming the backup to joiner at <IP_ADDRESS> 4444 (20190503 09:36:53.765)
WSREP_SST: [INFO] Evaluating innobackupex    --no-version-check  $tmpopts $INNOEXTRA --galera-info --stream=$sfmt $itmpdir 2>${DATA}/innobackup.backup.log | pv -f  -i 10 -N donor -F '%N => Rate:%r Avg:%a Elapsed:%t %e Bytes: %b %p'  -s 18993152 2>>/tmp/mysql-console/fifo | socat -u stdio TCP:<IP_ADDRESS>:4444; RC=( ${PIPESTATUS[@]} ) (20190503 09:36:53.769)
2019-05-03  9:36:53<PHONE_NUMBER>79968 [Warning] Aborted connection 23 to db: 'unconnected' user: 'xtrabackup' host: 'localhost' (Got an error reading communication packets)
WSREP_SST: [ERROR] innobackupex finished with error: 1.  Check /var/lib/mysql//innobackup.backup.log (20190503 09:36:53.803)
WSREP_SST: [ERROR] Cleanup after exit with status:22 (20190503 09:36:53.807)
WSREP_SST: [INFO] Cleaning up fifo file /tmp/mysql-console/fifo (20190503 09:36:53.816)
rm: cannot remove '/tmp/mysql-console/fifo': Permission denied
WSREP_SST: [INFO] Cleaning up temporary directories (20190503 09:36:53.824)
2019-05-03  9:36:53<PHONE_NUMBER>43840 [ERROR] WSREP: Failed to read from: wsrep_sst_xtrabackup-v2 --role 'donor' --address '<IP_ADDRESS>:4444/xtrabackup_sst//1' --socket '/var/run/mysqld/mysqld.sock' --datadir '/var/lib/mysql/'     '' --gtid '1015ad9c-6d86-11e9-ad00-cba3c1db7287:0' --gtid-domain-id '0'
2019-05-03  9:36:53<PHONE_NUMBER>43840 [ERROR] WSREP: Process completed with error: wsrep_sst_xtrabackup-v2 --role 'donor' --address '<IP_ADDRESS>:4444/xtrabackup_sst//1' --socket '/var/run/mysqld/mysqld.sock' --datadir '/var/lib/mysql/'     '' --gtid '1015ad9c-6d86-11e9-ad00-cba3c1db7287:0' --gtid-domain-id '0': 22 (Invalid argument)
2019-05-03  9:36:53<PHONE_NUMBER>43840 [ERROR] WSREP: Command did not run: wsrep_sst_xtrabackup-v2 --role 'donor' --address '<IP_ADDRESS>:4444/xtrabackup_sst//1' --socket '/var/run/mysqld/mysqld.sock' --datadir '/var/lib/mysql/'     '' --gtid '1015ad9c-6d86-11e9-ad00-cba3c1db7287:0' --gtid-domain-id '0'
2019-05-03  9:36:53<PHONE_NUMBER>95296 [Warning] WSREP: 0.0 (41e183d1db2d): State transfer to 1.0 (0dfe460e7bb6) failed: -22 (Invalid argument)

When I dug into it, the innobackup log in /var/lib/mysql stated:
InnoDB: Unsupported redo log format. The redo log was created with MariaDB 10.2.23.
After some Googling, I found this page where MariaDB states:
"Percona XtraBackup does not work with MariaDB 10.1 or greater if encryption or compression is used, or when innodb_page_size is set to some value other than 16K. It also does not work with MariaDB 10.2 or greater if innodb_safe_truncate=ON is set. It also does not work with MariaDB 10.3 or greater. For the cases where Percona XtraBackup is not supported, see Mariabackup instead."
In my case (10.2.23), the problem was the 'new' innodb_safe_truncate option that defaults to being ON (our previous version was 10.2.15, prior to the introduction of this option - it was introduced in 10.2.19).
Supplying the option --innodb_safe_truncate=OFF as part of my command string to Galera within the compose file made everything start clustering and working again.
I thought I'd raise this here so the command can be updated (or the move to MariaBackup can be examined), and so that anyone else seeing this doesn't have to spend as long searching for the answer :)

Thanks for the report, Ben! So do you think simply switching ENV SST_METHOD=xtrabackup-v2 to ENV SST_METHOD=mariabackup in the 10.2 Dockerfile is all that is needed to fix?

Having just tested it here, changing that variable to mariabackup does correctly swap to using mariabackup for the state synchronisation.
I can then assemble a cluster of nodes without requiring the innodb_safe_truncate option - the galera nodes cluster correctly as we were seeing with the previous 10.2.15 version.
As Maria seem to be moving towards using their own backup solution instead of Xtrabackup anyway then this move would have to be made at some point in the future anyway, so I guess now would be as good a time as any :)

Thanks again, Ben! I updated the Dockerfile and am working on pushing new builds.


OJ-1202 add config service unit tests

Proposed changes
What changed
Added unit tests for the config service
Removed a line of redundant code from the config service
Why did it change
Unit test coverage
Removed redundancy and improved clarity
Issue tracking

OJ-1202

Checklists
Environment variables or secrets

[x] No environment variables or secrets were added or changed

Other considerations

unsigned commit


Unable to create internal certificate authority

Hi,
I just installed OPNsense 17.7.7_1 on my brand new hardware and wanted to create an internal certificate authority. After filling all fields and clicking 'Save' I am presented  with the following error messages.

No matter what I tried, I am unable to create an internal certificate authority. Is this a know bug or I am just to stupid?
Best Regards
Ingo

Hi Ingo,
I've never seen this before, can't reproduce it either on my end (using openssl) using the same input.
Are you using OpenSSL (the default) or LibreSSL) ?
What does the following output?
/usr/local/bin/openssl version
Best regards,
Ad

It looks like a flakey install, please provide the output of these two commands:
# pkg check -da
# pkg check -sa

On 16. Nov 2017, at 17:12, Ad Schellevis<EMAIL_ADDRESS>wrote:
Hi Ingo,
I've never seen this before, can't reproduce it either on my end (using openssl) using the same input.
Are you using OpenSSL (the default) or LibreSSL) ?
What does the following output?
/usr/local/bin/openssl version
Best regards,
Ad
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub, or mute the thread.

Hi Ad, hi Franco,
I am using the default (OpenSSL). Here is the requested output:
root@OPNsense:~ # /usr/local/bin/openssl version
OpenSSL 1.0.2l  25 May 2017

and
root@OPNsense:~ # pkg check -da
Checking all packages: 100%

root@OPNsense:~ # pkg check -sa
Checking all packages: 100%

Best regards,
Ingo

Whoop!
Got it working after rebooting and reinstalling OpenSSL from Firmware -> Packages.
Really strange ...
Thank you both for your quick replies. I am closing the issue. If you want me to collect some more info leave me a note.
Best regards,
Ingo

Hi Ingo,
We need a consistent error state, but that is no longer the case. Can’t be sure what happened. In any case happy it works now. 😊
From the two commands it seemed that OpenSSL was properly installed and all files passed the checksum test.
Cheers,
Franco


distutils is no longer in stdlib since Python 3.12 (PEP 632)

Currently, when ruff sorts imports, distutils is grouped with other standard library packages. However, it has long been deprecated and has been removed in Python 3.12. https://peps.python.org/pep-0632/
It should now be sorted with 3rd-party packages.
Current behavior:
import os
from distutils.command.install_headers import install_headers as _install_headers

from setuptools import setup

Expected behavior:
import os

from distutils.command.install_headers import install_headers as _install_headers
from setuptools import setup

I believe we've already implemented this -- we treat distutils as third-party if your minimum Python version is set to 3.12. Otherwise, it's treated as standard library, which seems correct to me.
E.g., given the above input, if you run ruff check foo.py --isolated --select I --fix --target-version py312, you get:
import os

from distutils.command.install_headers import install_headers as _install_headers
from setuptools import setup

Thanks. It probably should have occurred to me to try changing the target version first. 😄


Bug: Reopening a QDialog crashes with $el of undefined error

As per this example, attempting to relaunch a dialog (making it close, then reopening (typically using $nextTick or setTimeout) will throw a reading $el of undefined error.
Did not have this error on normal Quasar v1.16.0
Example:
https://codepen.io/zuc0001/pen/rNGNGMQ?editors=1011
More details on the error when I replicated the bug in my app:

(QDialog.js)

(portal.js)

https://github.com/pdanpdan/quasar/releases/tag/quasar-pdan-v1.16.0-beta.27


exporter exporting random items

Issue description:
Using QSUs to store items i have a ton of and the exporter is exporting random items, also i am on the pack StoneBlock
What happens:
trying to store iron and other items, it exports everything in the inventory even with the exporter filtered
What you expected to happen:
just want iron to go into the QSU
Steps to reproduce:

dont know, maybe have a large bank qsu's and try to store items in them i will attach a video showing what is going on

Version (make sure you are on the latest version before reporting):

Minecraft: 1.12.2
Forge: <IP_ADDRESS>68
Refined Storage:1.6.9
-refined storage addons 0.4.3

Does this issue occur on a server? [yes/no]
not sure
If a (crash)log is relevant for this issue, link it here:
[pastebin/gist/etc link here]
https://youtu.be/5RPTYylrq5E

those aren't exporters, those are external storages

I’m aware I have both an exporter and a external storage unit to export items that are produced to the QSU

did you filter the external storages too?

Looks like changing it from blacklist to whitelist fixed it. but when you place down the external storage it starts as blacklist.

i can still send the screen shots if you still want them

it's fine


Standardize on a Timezone?

Migrated from GitLab: https://gitlab.com/meltano/handbook/-/issues/61
Originally created by @afolson on 2022-02-07 21:19:15

We use a few different timezones depending on where we live in the world. This results in some inconsistency when making announcements for things like Office Hours/Demo Day/etc. and also messes with calendar invites when events are created in a specific timezone. We also have issues with different countries observing DST at different times which affects calendar invites.
Can/should we standardize on UTC for public-facing calendar invites and announcements? I think internally it's less of an issue but externally it's weird to hear meeting times in PT/CT/ET.

View 3 previous comments from the original issue on GitLab


[Request] Xamarin.tvOS

Thanks for the nugets of the rbfx engine.
Would it be possible that you could still provide Xamarin.tvOS assemblies in the nuget package?

I don't have the device, I only have an Intel-based Mac. So I can try... Blindly :-)

I do not own one either :)
But there is an emulator on the Mac for the tvOS.
I think with it you can check it well.
But thanks for the try.


Betterdiscord not launching

When I booted up discord today on pc it didn't launch better discord, or any of my themes. My themes tab is also not showing. I tried repairing better discord, but it didn't work. I tried uninstalling and reinstalling, but it didn't work. This happens every once in a while repeatedly, any ideas on how to fix this?

Same

moi sur discord je n'est pas la barre better discord et je ne peut pas télécharger la nouvelle MAJ avez vous des réponse pour moi ?


How to request channels.getParticipants

Hi, I'm trying to call the channels.getParticipants function but I can't find it inside the Request class is there another way to call this?
If it's not implemented yet, is there a temporary method to call the function using the library?

What you linked is Telegram API, not Telegram Bots API.
For bots check it out here: https://core.telegram.org/bots/api


sec(http): JSONP should require trusted resource URLs

WORK-IN-PROGRESS.  Do NOT merge.  More work needs to be done and the tests are currently broken.

JSONP should require trusted resource URLs.  This would be a breaking
change but maybe not too onerous since same origin URLs are trusted in
the default config and you can easily whitelist any 3rd party URLs you
trust in one single place (your app/module config.)
fix a bug where $http can't handle $sce wrapper URLs.

Closes #11352
Closes #11328

are the ng-mock edits enough to not break application tests?

@chirayuk it generally looks good ok, a few nits --- I'll leave it up to you whether you think this can land today or not.

@chirayuk - the description says DO NOT MERGE - is this still accurate or are you happy that this is ready to go in now?

can we move this to 1.5?
Also, I don't see an easy way to define the whitelist, do we piggy-back on the existing means to define whitelist or is there no current way to whitelist urls that are ok for jsonp?

Closing in favour of #15143 which is a rebased and tidied up version of this.


Fix out parameters as return for TypeKind other of Direct

Currently out parameters treated same way that result code like this
    fn query_child_packing<T: Upcast<Widget>>(&self, child: &T) -> (bool, bool, u32, PackType) {
        let mut expand.to_glib() = Default::default();
        let mut fill.to_glib() = Default::default();
        let mut padding = Default::default();
        let mut pack_type = Default::default();
        unsafe {
            ffi::gtk_box_query_child_packing(self.upcast().to_glib_none().0, child.upcast().to_glib_none().0, &mut expand.to_glib(), &mut fill.to_glib(), &mut padding, &mut pack_type);
        }
        (expand.to_glib(), fill.to_glib(), padding, pack_type)
    }

List of ffi functions which must return out parameters

[ ] gtk_alignment_get_padding
[ ] gtk_box_query_child_packing
[ ] gtk_button_get_alignment
[ ] gtk_calendar_get_date
[ ] gtk_frame_get_label_align
[ ] gtk_label_get_layout_offsets
[ ] gtk_layout_get_size
[ ] gtk_misc_get_alignment
[ ] gtk_misc_get_padding

I think I might be fine with postponing all kinds of clever processing, but it's still difficult to settle on a uniform solution.
Simply using &mut T (Option<&mut T> for optional* ones) doesn't work well for returning objects and boxed types (nothing to initialize the variable with at the call site). We could use &mut Option<T> and Option<&mut Option<T>> for that at the cost to ergonomics and wait for &out to become available. This is something that will work in all cases (we'll still have to add temporary variables when conversions are needed).
We could just put the actual return type and all the outparams in a tuple and return that but what about the optional outparams?

It might be solution.
Only it is not clear whether or not to restrict the typekinds of return values.

There functions with mixed outparams (optional and not)?
Any way to detect when parameters optional (besides #119) ?

By optional I mean optional="1", you are allowed to pass NULL to ignore the value. Sometimes this has performance impact -- the function will take extra time to produce the value, but only if you actually want it. Can't find an example right now.
BTW optional seems to be the majority.
I don't know if there are combinations of optional and non-optional.

In Gtk-3.0.gir no elements by XPath //parameter[@direction="out" and @optional="0"]
and many by //parameter[@direction="out" and not(@optional)]
Ex. gtk_accel_label_get_accel, gtk_box_query_child_packing, gtk_button_get_alignment.
Main problem IMHO how to determine whether the client needs these values, or you can not ask them.

At this point I could even settle for treating all of them as non-optional, to be fixed/optimized later. This will allow returning a tuple; if the function isn't void, making the return value the first element.

Need to look out for nullability. Much the same as with actual return values, they aren't tagged as nullable reliably.

Agree.
As for not (bool and ()) returning functions, I found 7 (by XPath //method[return-value[type[@name!="gboolean" and @name !="none"]] and parameters/parameter[@direction="out"]]):
gtk_cell_area_get_cell_at_position -> CellRenderer,
gtk_icon_info_load_symbolic -> GdkPixbuf.Pixbuf,
gtk_icon_info_load_symbolic_finish -> GdkPixbuf.Pixbuf,
gtk_icon_info_load_symbolic_for_context -> GdkPixbuf.Pixbuf,
gtk_icon_info_load_symbolic_for_context_finish -> GdkPixbuf.Pixbuf,
gtk_icon_info_load_symbolic_for_style -> GdkPixbuf.Pixbuf,
gtk_tree_selection_get_selected_rows -> GLib.List
All this functions return objects, so it can be converted by XXX::From_glib_none.

As result we have next "types" functions with out parameters by returning type:

() => (current mode) converted to (outs),
bool => converted to Option(outs),
others => converted to (ret, outs)

IMHO this is different issue (it main focus function return type, not types of outs). I try to add it tomorrow with list of functions, and then start to fix it.
Or we can use current №119 and add new for other return types.

bool => converted to Option(outs),

I have a feeling this will be wrong for some functions.

We could turn this one into an outparams meta-issue.

() => (current mode) converted to (outs),

bool => converted to Option(outs),
others => converted to (ret, outs)

This looks good, we can weed out the exceptions later or just manually.

Returning errors can be mixed with out parameters (//method[@throws="1" and parameters/parameter[@direction="out"]] => 7 cases, //method[@throws="1" and not(parameters/parameter[@direction="out"])] => 42) and make 4th case which fully non covered.
For 7 cases:
gtk_builder_value_from_string and gtk_builder_value_from_string_type returns bool with out GValue,
5 returns GdkPixbuf.Pixbuf (https://github.com/gkoz/gir/issues/117#issuecomment-143057384),
and last gtk_icon_info_load_symbolic_for_style deprecated in 3.0.
IMHO better first comment all functions with throw and on next stage focus on non out throws.

As for elide tupple: it already done https://github.com/gkoz/gir/blob/master/src/codegen/function_body.rs#L80

Yes, throws is a separate topic but just in case

returns bool

If the function throws we should treat the bool return type as if it's void.

As for elide tupple: it already done

Cool :)

@gkoz, I plan add new Issue about "Object returning functions with outs" same as I do in №130 and close this issue.


ROX-14592: Ensure that RHCOS Node scan is not skipped by Scanner

Problem
Currently Scanner does not run v1 Node Scan when RHCOS is detected. It displays the following warning when Node Scanning is run on RHCOS:

This is by design as the v1 scan data from NVD was inaccurate and lead to confusion of users.
Goal
The goal of this ticket is to disable v1 Node Scan when RHCOS is detected and provide v2 scan instead.
This contains:

remove the quit-early branch if RHCOS is detected
do not run v1 scan if and only if:

(1) the FF is enabled,
(2) node inventory is present,
(3) RHCOS system is detected. (Note that 2 implies 3).

How This was tested?

[x] CI

⚠ I needed to skip the existing e2e tests if the feature flag it disabled. Otherwise they fail. I know this isn't great, but if someone knows a solution to enabling the FF in the e2e tests, then please let me know.

[x] Run the e2e test TestGRPCGetRHCOSNodeVulnerabilities locally with feature flag enabled.

$ go test -tags e2e -timeout=10s -count=1 -v -run ^TestGRPCGetRHCOSNodeVulnerabilities$  github.com/stackrox/scanner/e2etests
=== RUN   TestGRPCGetRHCOSNodeVulnerabilities
=== RUN   TestGRPCGetRHCOSNodeVulnerabilities/Uncertified_scan_is_unsupported_for_RHCOS_and_returns_no_features
=== RUN   TestGRPCGetRHCOSNodeVulnerabilities/Selected_vulnerabilities_should_be_returned_by_the_certified_scan
--- PASS: TestGRPCGetRHCOSNodeVulnerabilities (0.05s)
    --- PASS: TestGRPCGetRHCOSNodeVulnerabilities/Uncertified_scan_is_unsupported_for_RHCOS_and_returns_no_features (0.02s)
    --- PASS: TestGRPCGetRHCOSNodeVulnerabilities/Selected_vulnerabilities_should_be_returned_by_the_certified_scan (0.02s)
PASS
ok  	github.com/stackrox/scanner/e2etests	0.583s

[x] Deployed with feature flag disabled and made sure that nothing that should work is broken
[x] Deployed along with https://github.com/stackrox/stackrox/pull/4492 and seen this in the UI (still no vulns, but for that, we need content sets)

What I observed in the UI

kernel component is empty - this should be fixed in https://issues.redhat.com/browse/ROX-14288

Kubelet is present in the node inventory as: kubelet v1.24.6+5658434
Kube-proxy is present in the node inventory as: kube-proxy v1.24.6+5658434
Kernel is provided in the node overview

The e2e test failure seems unrelated: FAIL: TestDistrolessVulnImages/gcr.io/distroless/python2.7@sha256:6d3895c4a1629ac99e73c7dc9cbe0ad8cb213d6cdebf3e835c2c388fc5aab1b2 (18.95s)

/retest

LGTM!
Edit: You had to skip the e2e-tests, which is why they fail in prow, correct?

They fail because I am unable to enable the feature flag for the e2e test. I could skip that test but we would loose visibility. If I keep it the way it is, it will be constantly failing in CI.
The solution here would be to enable the FF for the Scanner-under-test in CI, but I don't know how to do this :) I will see, maybe I dig something out, but If not, we can discuss it in Today's RHCOS sync.

I rebased to accommodate changes from https://github.com/stackrox/scanner/pull/1074 and use the branch from this PR in Today's demo

This is good to be merged after CI is green and Ross gives his review.


Fix when using BezierChartScale.WEEKLY

Here is the sample of the problem with the fix.  I modified sample 3 in your examples.  https://github.com/delay/bezier-chart I also made the fix for the problem.  I did not fix the third issue I mentioned but this will handle the first two problems I mentioned.  You will notice if you run your current version of the library it will not show any points.  However in the fixed code it correctly displays the two points on the graph.  The example changes are just to show you the problem.  They are not part of the code change I am suggesting.

Hi @delay , thanks for the PR, just to avoid modifying the current sample3 , could you create another sample in the main.dart file (sample9 could be) ?

ok will do.  I didn't really want the example to be merged, it was just to demonstrate the bug.

ok set up a separate sample 9 to demonstrate problem.

Ok, I will check today later , thanks !!


use pv with embed etcd deploy mode

Signed-off-by: ycyaoxdu<EMAIL_ADDRESS>

/assign @clyang82


Crash with Tensorflow when using "to_netcdf"

Not sure why this issue #3828 was closed (@max-sixty @sjh11556 ).  I am getting the same error for exactly the same test code as @sjh11556, so opening the issue with same title as before.
Test Code
import tensorflow as tf
import xarray as xr
import numpy as np
data=xr.DataArray(data=np.zeros([4,5]),dims=['lat','lon'])
data.to_netcdf("test.nc")
print("data has been written to test.nc")

Expected Output
data has been written to test.nc

Problem

>>> import tensorflow as tf
>>> import xarray as xr
>>> import numpy as np
>>> data=xr.DataArray(data=np.zeros([4,5]),dims=['lat','lon'])
>>> data.to_netcdf("test.nc")
Traceback (most recent call last):
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/api.py", line 1089, in to_netcdf
    dataset, store, writer, encoding=encoding, unlimited_dims=unlimited_dims
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/api.py", line 1135, in dump_to_store
    store.store(variables, attrs, check_encoding, writer, unlimited_dims=unlimited_dims)
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/common.py", line 298, in store
    variables, check_encoding_set, writer, unlimited_dims=unlimited_dims
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/common.py", line 339, in set_variables
    writer.add(source, target)
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/common.py", line 188, in add
    target[...] = source
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/netCDF4_.py", line 51, in __setitem__
    data[key] = value
  File "netCDF4/_netCDF4.pyx", line 4950, in netCDF4._netCDF4.Variable.__setitem__
  File "netCDF4/_netCDF4.pyx", line 5229, in netCDF4._netCDF4.Variable._put
  File "netCDF4/_netCDF4.pyx", line 1887, in netCDF4._netCDF4._ensure_nc_success
RuntimeError: NetCDF: HDF error

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  **File "<stdin>", line 1, in <module>**
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/core/dataarray.py", line 2353, in to_netcdf
    return dataset.to_netcdf(*args, **kwargs)
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/core/dataset.py", line 1545, in to_netcdf
    invalid_netcdf=invalid_netcdf,
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/api.py", line 1104, in to_netcdf
    store.close()
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/netCDF4_.py", line 492, in close
    self._manager.close(**kwargs)
  File "/home/box/cleanenv/lib/python3.7/site-packages/xarray/backends/file_manager.py", line 221, in close
    file.close()
  File "netCDF4/_netCDF4.pyx", line 2485, in **netCDF4._netCDF4.Dataset.close**
  File "netCDF4/_netCDF4.pyx", line 2449, in **netCDF4._netCDF4.Dataset._close**
  File "netCDF4/_netCDF4.pyx", line 1887, in **netCDF4._netCDF4._ensure_nc_success**
**RuntimeError: NetCDF: HDF error**

Some observations,

Unlike @sjh11556, using tensorflow==2.1.0 doesn't give any error.
Works fine if Tensorflow is not imported.
Tested with a clean environment by installing only tensorflow==2.0.0, xarray== 0.15.0, netCDF4==1.5.3 .
Here's a pip freeze list of my clean environment.

pip freeze
absl-py==0.9.0
astor==0.8.1
cachetools==4.1.0
certifi==2<IP_ADDRESS>
cftime==1.1.3
chardet==3.0.4
gast==0.2.2
google-auth==1.16.0
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.29.0
h5py==2.10.0
idna==2.9
importlib-metadata==1.6.0
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
Markdown==3.2.2
netCDF4==1.5.3
numpy==1.18.4
oauthlib==3.1.0
opt-einsum==3.2.1
pandas==1.0.4
protobuf==3.12.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
python-dateutil==2.8.1
pytz==2020.1
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
six==1.15.0
tensorboard==2.0.2
tensorflow==2.0.0
tensorflow-estimator==2.0.1
termcolor==1.1.0
urllib3==1.25.9
Werkzeug==1.0.1
wrapt==1.12.1
xarray==0.15.0
zipp==3.1.0

UPDATE
Versions
Output of xr.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.6 (default, Feb 15 2020, 17:41:03)
[GCC 7.3.0]
python-bits: 64
OS: Linux
OS-release: 2.6.32-573.12.1.el6.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: C
LOCALE: en_US.UTF-8
libhdf5: 1.10.4
libnetcdf: 4.6.3
xarray: 0.15.0
pandas: 1.0.4
numpy: 1.18.4
scipy: 1.4.1
netCDF4: 1.5.3
pydap: None
h5netcdf: None
h5py: 2.10.0
Nio: None
zarr: None
cftime: 1.1.3
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: None
cartopy: None
seaborn: None
numbagg: None
setuptools: 41.2.0
pip: 19.2.3
conda: None
pytest: None
IPython: None
sphinx: None

@aakash30jan The other issue was closed because it could not be reproduced by @max-sixty because of missing information. There is guidance in the issue template what information should be supplied.
Here the output of xr.show_versions() is missing. Please add all missing information which is requested in the issue template.

there's not too much of the show_versions output that's missing, but we need more information about how your environment was set up to be able to reproduce this. Did you use conda or pip or something else? What are the versions of non-python libraries? Most important are the versions of libhdf5 and libnetcdf. As pointed out above, we usually ask to provide the output of xr.show_versions() because it provides all that information (it doesn't collect information about tensorflow, though).
Anyway, about the issue: if importing tensorflow changes the way xarray and netcdf works, that means either tensorflow's package alters the hdf5 or netcdf libraries or libhdf5 / libnetcdf (does it fail if you don't import tensorflow?) or the import of tensorflow messes with these libraries.

@kmuehlbauer @keewis
I have updated with information from show_versions
I used simply python3 -m venv mycleanenv to create an environment and then used pip to install the packages. If I don't import TensorFlow, the rest of my sample code does work without any issue.  For the probably problematic libraries, the versions are libhdf5==1.10.4 and
libnetcdf==4.6.3 . Is there any way I can get more debugging information on this?

thanks, @aakash30jan, with this I can reproduce your issue. I modified your code sample to
import xarray as xr, numpy as np
import tensorflow
import netCDF4  # if it imported before tensorflow, the error does not occur
xr.DataArray(data=np.zeros([4,5]),dims=['lat','lon']).to_netcdf("test.nc")

which confirms that tensorflow does something weird to either netCDF4 or its dependencies.
To confirm, let's eliminate both xarray and numpy:
import netCDF4 as nc
import tensorflow

filename = "test.nc"
rootgrp = nc.Dataset(filename, "w")
dim = rootgrp.createDimension("dim", 3)
data = rootgrp.createVariable("test", "i4", ("dim",))
data[:] = [0, 1, 2]
rootgrp.close()

and again that error comes up if we import tensorflow before netCDF4. This means that this is actually bug in tensorflow (or their package on PyPI) and I think you should ask this on their issue tracker. Feel free to reuse / modify my code sample if that helps.
I'm closing this issue for now but feel free to reopen if you still have any questions on this.

Tensorflow pulls in h5py, and imports it by default, but pypi builds of h5py and netcdf4-python are incompatible (see https://github.com/Unidata/netcdf4-python/issues/694 and other issues linked there). A work-around is to pip uninstall h5py if you don't need it, or perhaps to use conda.

Thanks @keewis.
Thanks @ihnorton


Add guarded batch functions in Gateway contract

Description

created the GatewayV2 contract with guarded batch functions
function sendBatchGuarded
function sendBatchFromAccountGuarded
function delegateBatchGuarded
function delegateBatchWithGasPriceGuarded
function delegateBatchesGuarded

Wrote tests for GatewayV2 (100% Statements 43/43, 80.95% Branches 34/42, 100% Functions 19/19, 100% Lines 49/49)

Removed .only from HopFacet's tests

Deployed GatewayV2 on testnets (Goerli, Mumbai, BscTest, FantomTest and ArbitrumNitro)

Motivation and Context

How Has This Been Tested?

unit tests

Screenshots (if appropriate):
Types of changes

[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)

@zincoshine HopFacet.ts changed because I removed a typo from there (updated in the pr description)

Pls deploy on gnosis testnet, avax testnets as well


How to run this framework in a distributed cluster?

Spark? Slurm?

Thanks for your interest! We'll have a PR on a Ray-based implementation soon @pan-x-c ; an exploratory version based on Beam (for supporting Flink) will follow.

@yxdyc @pan-x-c  Thanks for quick response. A quick naive question. What's the advantages of using Ray over Spark?

Thanks for your question!
We opted to use Ray as it does not necessitate any modifications to implementations of most existing operators, namely Filters and Mappers. This allows for a near-seamless migration of Data-Juicer to a distributed cluster, thereby enhancing the user-friendliness and deployment ease of Data-Juicer.
Currently, we do not use Spark primarily due to the incompatibility of the Data-Juicer operator's interface with it, which results in the need for additional development for almost all OPs. Feel free to discuss or collaborate on further Spark versions!

Currently, the first ray version has been merged into master, which supports partial Formatters and all Filters and Mappers (#21); we are working on supporting the remaining OPs (Deduplicators and other Formatters), and more experimental Beam versions.  Feel free to reopen this issue for more discussions and suggestions!


Added support for GMP scenarios from ManyBugs

Currently fails test cases p46 and n3.

@ChrisTimperley 14166-14167 passes the failing test. I don't know why

@afsafzal, do you know which tests are behaving unexpectedly for each of them?

@ChrisTimperley for 14166 I know n1 is behaving unexpectedly and p35 on server (on docker it's passing). for 13420 as you said p46 and n3.  Not sure though.

Added to https://github.com/ChrisTimperley/ManyBugs. I'll create an issue for the unexpected errors over there.


Create FDO client

Create FDO client
Move ownershipvoucher deserializer out
Use libfdo_data

Codecov Report

Merging #349 (6f5f45f) into main (30c21da) will decrease coverage by 4.62%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##             main     #349      +/-   ##
==========================================
- Coverage   27.67%   23.05%   -4.63%
==========================================
  Files          30       28       -2
  Lines        2775     2616     -159
==========================================
- Hits          768      603     -165
- Misses       1924     1929       +5
- Partials       83       84       +1

Impacted Files
Coverage Δ

pkg/services/updates.go
35.12% <0.00%> (-0.09%)
:arrow_down:

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 30c21da...6f5f45f. Read the comment docs.

/hold

@biancarosa Well for now the secret is empty, do you know where PSK_DISPATCHER value get received?

/lgtm

/lgtm


Probable Bug Reporting For Busy.org(many has no profile image from steemit)

I use busy.org most of the time for posting and commenting while I’m on my PC. Since the release of the new version of busy.org, I have noticed that some of the profile I’ve already seen on steemit, had no profile Image shown on busy.org (even those have on steemit).

_____
Yes, I was aware of the issue and felt of reporting at that time. But then I had seen somewhere someone pointing out the same kind of issue and answer from guys from busy saying, it must have been due to slow network problem/ or something like that and would come up(with an updated profile picture) after sometimes. So I didn’t post anything at that time hoping it will resolve automatically.
But I’m still noticing that it’s not fixed. And now I don’t think it’s any kind of network problem at all because I’ve seen this issue on many accounts, I regularly check their profile but they have never got a profile picture visible once on the busy platform ( At least I haven’t seen it yet).

The problem is some of the accounts have no profile picture although they have on their steemit profile and it’s on some kind of random fashion, it’s happening to some accounts only.

You can see below, penguinpablo has no profile picture on busy.

And another thing is, it's not generating randomly. It might not be feasible for me to go to every profile and check but I have checked some of the profile that I follow or notice most of the time and I found that their profile image on busy hasn’t been updating.

Please, you can check some of the profile I tried on the video at your end if you could reproduce this issue on your end too. I’m noticing this issue from the very first day to a new version of busy and it’s not updated yet. And most of those profiles I’ve seen with no profile image are big accounts.

I’ve made a small screen recorded video so that it could help to understand the problem/issue I’m reporting here.

https://youtu.be/oVuDuQzujc0

______
Open Source Contribution posted via Utopian.io

The problem is that these users have a profile picture, chosen from a URL, that doesn't exist anymore. SteemIt caches profile pictures whenever a user changes it, but busy.org doesn't.
@penguinpablo, for example has a profile picture URL of:
https://scontent-amt2-1.xx.fbcdn.net/v/t1.0-1/c<IP_ADDRESS>/p200x200/254218_165533593509379_8329901_n.jpg?oh=6d4188d08f58fe004df702e7443d7a6e&oe=58C41C14
On the blockchain. It appears that they used their Facebook profile picture, and Facebook changed the URL of his profile picture. People browsing on SteemIt, see this URL:
https://steemit-production-imageproxy-thumbnail.s3.amazonaws.com/U5dsKvzypJBxYdjMiEFiv8Et69S9Mfd_128x128
This means that SteemIt has a cached version of @penguinpablo's profile image, from when it actually was working. The only way to get the profile pictures that SteemIt has, would be to use SteemIt's caching CDN, or cache everybodies profile pictures ourselves (unfortunately, if we go this route, we won't be able to see profile pictures changed before we start caching).

This has been fixed when we switched to SteemitImages.


Refresh page when user moves screen

Get user's screen size, estimate top left coordinate, bottom right coordinate, and only grab pins within that constraint

Get user's screen size, estimate top left coordinate, bottom right coordinate, and only grab pins within that constraint

Instead of refreshing the page every time the screen moves, which proved to be incredibly difficult, we should in the future, split the data into cities. e.g. Victoria Table, Vancouver Table, etc. which should solve the problem of loading too much data (good thing we won't have too much data)


0.8.0 informations tab

tab is generally correct but some information are wrong :
General :

Actual % growth c is wrong (0,04% instead of near 10%, check calculation) + write " / day"

Money :

"Growth parameter c" should be "Fundamental growth parameter c", since growth is not always "c". + missing time unit : / day
Missing "definition of day" = "when exactly the Dividend is added to the blockchain ?! 23h59 ? 12h47 ? Number of blocks ? Average network time ? What is the rule ?
Initial Universal Dividend + "UD(0)" in mb

Wot : should be placed in another tab, WoT rules are independant part of money rules. I suppose in "information tab" it should be interesting to have a "money tab" and a "WoT tab" to isolate them.
Rules : "money rules"

"Fundamental growth parameter c"
UD formula : UD(t+1) and not UDt+1, the same with UD(t), M(t+1) N(t+1) place "[" or "{" when you have more levels like : Max {UD(t);c*M(t)/N(t+1)}
UD computed : I see MAX {100 mb ...) which is not correct, since it should be UD(t) = 124 mb, it is a mistake replaced by UD(0) instead of UD(t) + N(t+1) instead of real value N(t) = 16

=> Replace formula by UD(t) = MAX {UD(t-1);c*M(t)/N(t-1)} and give information of N(t-1) as well as N(t); and also UD(t-1) as well as UD(t), and M(t-1) as well as M(t) we need 2 steps of time to check validity. I propose you put "General money information (t)" and "General money information (t-1)" as separated information blocks at the top (you could do that in 2 horizontal blocks, with "t" at the left and "t-1" at the right).

Money and Rules mistakes are fixed. Please check image below.

Yes it seems ok to me. I think it could be even better to have 2 tabs in informations tab (like we have 2 tabs into community tab), one for money informations and another for WoT.

Fixed in 8db386e3ab4ea665c4804858fc8dd12f2218b92c


Show Error like 'undefined is not an object(evaluating 'ExtraDimensions[dim]')'

I use the plugin 'react-native-gifted-messenger',the example use '"react-native-extra-dimensions-android": "^0.17.0",',but i run the project in android platform.the error like  'undefined is not an object(evaluating 'ExtraDimensions[dim]')'.

Hello @yanghuxiao, did you modify the .gradle files and MainActivity.java ? https://github.com/jaysoo/react-native-extra-dimensions-android#installation

...


Websocket example should be updated

Hey @preichenberger,
you have to send the subscribe message each < 5 seconds to avoid a disconnection to the websocket.
To begin receiving feed messages, you must first send a subscribe message to the server indicating which channels and products to receive. This message is mandatory — you will be disconnected if no subscribe has been received within 5 seconds.

I think we should update the example https://github.com/preichenberger/go-gdax#websockets

I believe you have to send it once within 5 seconds of connecting, not every 5 seconds.

Yea but not just once after the dial. You have to send it regularly each < 5 seconds. I test this since a few days and only this way works for long time running processes. If u don't do this u will receive exactly 60 times per minute (1 error message per minute) the message websocket: close 1006 (abnormal closure): unexpected EOF. I also tried ping/pong messages and so on..

Does adding the heartbeat channel help?

I was going to suggest the same. I had same problem before, and after subscribing to heartbeat channel the problem is gone.

print out the time field in the message you are receiving and check that the GDAX server time is not of sync.
also, you need some logic to reconnect when you don't see a hearbeat within a second or so.
im my experience, they don't arrive within a second. you might need some error bound, not sure.

@loeffel-io any update?


Coordinate type could be more explicit

Describe the bug
The Coordinate type is number[], however it would more accurately be [number, number]

In many cases Coordinate can be also three or four numbers.
http://localhost:8080/apidoc/module-ol_geom_Geometry.html#~GeometryLayout
Maybe change it to something like [number, number] | [number, number, number] | [number, number, number, number] in the meantime and have different typedefs for coordinates with only xy and coordinates with more number in the long run.

@MoonE  Oh yeah, I forgot about that. Thanks.

Nothing in the library limits the number of dimensions in a coordinate.   I’m not sure it makes sense for the type to do so.

Ah ok, no worries. Thanks for the quick reply.


chirp: 20180614 -> 20180623

Semi-automatic update generated by https://github.com/ryantm/nixpkgs-update tools.
This update was made based on information from https://repology.org/metapackage/chirp-daily/versions.
These checks were done:

built on NixOS
Warning: no invocation of /nix/store/xbvizy0v1vv4ckgmjirl4f1q1dzl5scw-chirp-daily-20180623/bin/.chirpw-wrapped had a zero exit code or showed the expected version
Warning: no invocation of /nix/store/xbvizy0v1vv4ckgmjirl4f1q1dzl5scw-chirp-daily-20180623/bin/chirpw had a zero exit code or showed the expected version
0 of 2 passed binary check by having a zero exit code.
0 of 2 passed binary check by having the new version present in output.
found 20180623 with grep in /nix/store/xbvizy0v1vv4ckgmjirl4f1q1dzl5scw-chirp-daily-20180623
directory tree listing: https://gist.github.com/055e2b6f2968f12fbdac11ac482d1878
du listing: https://gist.github.com/a67d26089115a9a427073485eed6e931

meta.description for chirp is: '"A free, open-source tool for programming your amateur radio"'.
cc @the-kenny for testing.
This build is cached with Cachix. To use the cache follow these instructions:
One time setup in nixpkgs Git checkout:
cachix use r-ryantm
git remote add r-ryantm https://github.com/r-ryantm/nixpkgs.git

Test this build:
git fetch r-ryantm && git checkout ade3fc249a6480d7be2f0b8d70698a24f636b112 && nix-shell --pure -I nixpkgs=. -p chirp

Success on aarch64-linux (full log)
Attempted: chirp
Partial log (click to expand)
glibPreFixupPhase
post-installation fixup
shrinking RPATHs of ELF executables and libraries in /nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623
strip is /nix/store/0pjsgkxz0rp5baycq5sp2s72lrr5q9sg-binutils-2.30/bin/strip
stripping (with command strip and flags -S) in /nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623/bin
patching script interpreter paths in /nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623
/nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623/share/chirp/chirpw: interpreter directive changed from "/usr/bin/env python" to "/nix/store/fh8z4sniyv18b4jf32f3gnn862bvwc3f-python-2.7.15/bin/python"
/nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623/share/chirp/rpttool: interpreter directive changed from "/usr/bin/env python" to "/nix/store/fh8z4sniyv18b4jf32f3gnn862bvwc3f-python-2.7.15/bin/python"
checking for references to /build in /nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623...
/nix/store/3h3wzqkqdascah2gcjj661rs7n1r2xd4-chirp-daily-20180623

No attempt on x86_64-darwin (full log)
The following builds were skipped because they don't evaluate on x86_64-darwin: chirp
Partial log (click to expand)

a) For `nixos-rebuild` you can set
  { nixpkgs.config.allowUnsupportedSystem = true; }
in configuration.nix to override this.

b) For `nix-env`, `nix-build`, `nix-shell` or any other Nix command you can add
  { allowUnsupportedSystem = true; }
to ~/.config/nixpkgs/config.nix.

Success on x86_64-linux (full log)
Attempted: chirp
Partial log (click to expand)
glibPreFixupPhase
post-installation fixup
shrinking RPATHs of ELF executables and libraries in /nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623
strip is /nix/store/4qvrxzxa535y8304mk195x50b6p9607d-binutils-2.30/bin/strip
stripping (with command strip and flags -S) in /nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623/bin
patching script interpreter paths in /nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623
/nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623/share/chirp/chirpw: interpreter directive changed from "/usr/bin/env python" to "/nix/store/d3aa78jf7pm9lk6ad67x4f21a068dxn6-python-2.7.15/bin/python"
/nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623/share/chirp/rpttool: interpreter directive changed from "/usr/bin/env python" to "/nix/store/d3aa78jf7pm9lk6ad67x4f21a068dxn6-python-2.7.15/bin/python"
checking for references to /build in /nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623...
/nix/store/gzvzx410gmfz8m4ssx49z7jkbs1a6frp-chirp-daily-20180623

Just ran the binary, it works (with X11)


Issue with wrong version of package... Can I enforce a certain version?

Our app works perfectly, and even running spacejam locally doesn't pose a problem.
However, since yesterday, all our automated tests on Circle CI fail:
/home/ubuntu/.meteor/packages/meteor-tool/.1.1.10.ki0ccv++os.linux.x86_64+web.browser+web.cordova/mt-os.linux.x86_64/dev_bundle/server-lib/node_modules/fibers/future.js:245
 						throw(ex);
 						      ^
 Error: HTTP.methods not implemented on client-side
     at Object.HTTP.methods (packages/cfs_http-methods/http.methods.client.api.js:5:1)
     at [object Object]._.extend._registerHTTPMethod (packages/tap_i18n/lib/tap_i18n/tap_i18n-server.coffee:82:10)
     at packages/tap_i18n/lib/tap_i18n/tap_i18n-common.coffee:39:10
     at /tmp/meteor-test-run1jsjo92/.meteor/local/build/programs/server/boot.js:249:5

Turns out a lot of people were getting this problem at the same time: https://github.com/TAPevents/tap-i18n/issues/160 . Not sure how, since neither tap:i18n nor cfs:http-methods had a recent update, and we're fixing the version of tap:i18n to @1.8.0 throughout our code, and tap:i18n is using<EMAIL_ADDRESS>Our own app's versions file has the version set to<EMAIL_ADDRESS>So, spacejam is creating a test app for all the packages, right? If so, where can I find its versions file? And how could I enforce a specific version?
Thanks a lot for any help. This is blocking us since all our automated tests are failing...

@cpury
You can try adding the package with a  version constrain meteor add<EMAIL_ADDRESS>Spacejam basically run meteor test-packages and the app meteor creates is under /tmp/meteor-test-run<random-id>

@jsep thanks for the info! That way I at least can investigate which versions the spacejam app uses.
We're not using cfs:http-methods directly, but at least two packages we use seem to use it. I guess some package somewhere has cfs:http-methods as an requirement without fixing the version which causes the newest version to be used.

Closing this, since it's not a spacejam issue.


renovatebot(deps): update dependency com.squareup.okhttp3:okhttp to v4

This PR contains the following updates:

Package
Update
Change

com.squareup.okhttp3:okhttp
major
3.14.2 -> 4.0.0

Renovate configuration
:date: Schedule: At any time (no schedule defined).
:vertical_traffic_light: Automerge: Disabled by config. Please merge this manually once you are satisfied.
:recycle: Rebasing: Whenever PR is stale, or if you modify the PR title to begin with "rebase!".
:no_bell: Ignore: Close this PR and you won't be reminded about this update again.

[ ] If you want to rebase/retry this PR, check this box

Available now for Enterprise: Renovate Pro with real-time webhook handling and priority job queue.

 Thank you for your submission, we really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.null seems not to be a GitHub user. You need a GitHub account to be able to sign the CLA. If you have already a GitHub account, please add the email address used for this commit to your account.You have signed the CLA already but the status is still pending? Let us recheck it.