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277,426
| 24,071,917,533
|
IssuesEvent
|
2022-09-18 09:34:12
|
doctrine/mongodb-odm
|
https://api.github.com/repos/doctrine/mongodb-odm
|
closed
|
Call to a member function getClassAnnotations() on array
|
Needs Test
|
Hi,
Running mongodb gives error:
```php
<?php
$captchaImageMongo = new \Base\Document\CaptchaImage();
$captchaImageMongo->setFile($imgFile);
$captchaImageMongo->setSourceId($id);
$dm->persist($captchaImageMongo);
$dm->flush();
```
Error message:
```
app.error.file:
/var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/Mapping/Driver/AnnotationDriver.php : 81
app.error.message:
Call to a member function getClassAnnotations() on array
app.error.trace:
#0 /var/app/vendor/doctrine/persistence/src/Persistence/Mapping/Driver/MappingDriverChain.php(79): Doctrine\ODM\MongoDB\Mapping\Driver\AnnotationDriver->loadMetadataForClass('Base\\Document\\C...', Object(Doctrine\ODM\MongoDB\Mapping\ClassMetadata))
#1 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/Mapping/ClassMetadataFactory.php(175): Doctrine\Persistence\Mapping\Driver\MappingDriverChain->loadMetadataForClass('Base\\Document\\C...', Object(Doctrine\ODM\MongoDB\Mapping\ClassMetadata))
#2 /var/app/vendor/doctrine/persistence/src/Persistence/Mapping/AbstractClassMetadataFactory.php(414): Doctrine\ODM\MongoDB\Mapping\ClassMetadataFactory->doLoadMetadata(Object(Doctrine\ODM\MongoDB\Mapping\ClassMetadata), NULL, false, Array)
#3 /var/app/vendor/doctrine/persistence/src/Persistence/Mapping/AbstractClassMetadataFactory.php(281): Doctrine\Persistence\Mapping\AbstractClassMetadataFactory->loadMetadata('Base\\Document\\C...')
#4 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/DocumentManager.php(316): Doctrine\Persistence\Mapping\AbstractClassMetadataFactory->getMetadataFor('Base\\Document\\C...')
#5 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/UnitOfWork.php(1742): Doctrine\ODM\MongoDB\DocumentManager->getClassMetadata('Base\\Document\\C...')
#6 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/DocumentManager.php(469): Doctrine\ODM\MongoDB\UnitOfWork->persist(Object(Base\Document\CaptchaImage))
#7 /var/app/module/Base/src/Captcha/Mongo.php(43): Doctrine\ODM\MongoDB\DocumentManager->persist(Object(Base\Document\CaptchaImage))
```
Working environment:
PHP 8.1
doctrine/mongodb-odm 2.4.2
|
1.0
|
Call to a member function getClassAnnotations() on array - Hi,
Running mongodb gives error:
```php
<?php
$captchaImageMongo = new \Base\Document\CaptchaImage();
$captchaImageMongo->setFile($imgFile);
$captchaImageMongo->setSourceId($id);
$dm->persist($captchaImageMongo);
$dm->flush();
```
Error message:
```
app.error.file:
/var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/Mapping/Driver/AnnotationDriver.php : 81
app.error.message:
Call to a member function getClassAnnotations() on array
app.error.trace:
#0 /var/app/vendor/doctrine/persistence/src/Persistence/Mapping/Driver/MappingDriverChain.php(79): Doctrine\ODM\MongoDB\Mapping\Driver\AnnotationDriver->loadMetadataForClass('Base\\Document\\C...', Object(Doctrine\ODM\MongoDB\Mapping\ClassMetadata))
#1 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/Mapping/ClassMetadataFactory.php(175): Doctrine\Persistence\Mapping\Driver\MappingDriverChain->loadMetadataForClass('Base\\Document\\C...', Object(Doctrine\ODM\MongoDB\Mapping\ClassMetadata))
#2 /var/app/vendor/doctrine/persistence/src/Persistence/Mapping/AbstractClassMetadataFactory.php(414): Doctrine\ODM\MongoDB\Mapping\ClassMetadataFactory->doLoadMetadata(Object(Doctrine\ODM\MongoDB\Mapping\ClassMetadata), NULL, false, Array)
#3 /var/app/vendor/doctrine/persistence/src/Persistence/Mapping/AbstractClassMetadataFactory.php(281): Doctrine\Persistence\Mapping\AbstractClassMetadataFactory->loadMetadata('Base\\Document\\C...')
#4 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/DocumentManager.php(316): Doctrine\Persistence\Mapping\AbstractClassMetadataFactory->getMetadataFor('Base\\Document\\C...')
#5 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/UnitOfWork.php(1742): Doctrine\ODM\MongoDB\DocumentManager->getClassMetadata('Base\\Document\\C...')
#6 /var/app/vendor/doctrine/mongodb-odm/lib/Doctrine/ODM/MongoDB/DocumentManager.php(469): Doctrine\ODM\MongoDB\UnitOfWork->persist(Object(Base\Document\CaptchaImage))
#7 /var/app/module/Base/src/Captcha/Mongo.php(43): Doctrine\ODM\MongoDB\DocumentManager->persist(Object(Base\Document\CaptchaImage))
```
Working environment:
PHP 8.1
doctrine/mongodb-odm 2.4.2
|
non_process
|
call to a member function getclassannotations on array hi running mongodb gives error php php captchaimagemongo new base document captchaimage captchaimagemongo setfile imgfile captchaimagemongo setsourceid id dm persist captchaimagemongo dm flush error message app error file var app vendor doctrine mongodb odm lib doctrine odm mongodb mapping driver annotationdriver php app error message call to a member function getclassannotations on array app error trace var app vendor doctrine persistence src persistence mapping driver mappingdriverchain php doctrine odm mongodb mapping driver annotationdriver loadmetadataforclass base document c object doctrine odm mongodb mapping classmetadata var app vendor doctrine mongodb odm lib doctrine odm mongodb mapping classmetadatafactory php doctrine persistence mapping driver mappingdriverchain loadmetadataforclass base document c object doctrine odm mongodb mapping classmetadata var app vendor doctrine persistence src persistence mapping abstractclassmetadatafactory php doctrine odm mongodb mapping classmetadatafactory doloadmetadata object doctrine odm mongodb mapping classmetadata null false array var app vendor doctrine persistence src persistence mapping abstractclassmetadatafactory php doctrine persistence mapping abstractclassmetadatafactory loadmetadata base document c var app vendor doctrine mongodb odm lib doctrine odm mongodb documentmanager php doctrine persistence mapping abstractclassmetadatafactory getmetadatafor base document c var app vendor doctrine mongodb odm lib doctrine odm mongodb unitofwork php doctrine odm mongodb documentmanager getclassmetadata base document c var app vendor doctrine mongodb odm lib doctrine odm mongodb documentmanager php doctrine odm mongodb unitofwork persist object base document captchaimage var app module base src captcha mongo php doctrine odm mongodb documentmanager persist object base document captchaimage working environment php doctrine mongodb odm
| 0
|
17,603
| 23,427,171,892
|
IssuesEvent
|
2022-08-14 15:06:45
|
ForNeVeR/Cesium
|
https://api.github.com/repos/ForNeVeR/Cesium
|
closed
|
Preprocessor macro support (`#define`, `#ifdef`)
|
kind:feature status:help-wanted area:preprocessor
|
We should support simple macro definitions and usage. Say, this should be valid:
```
#define foo main
#ifdef foo
int foo() { return 0; }
#endif
```
Note that there's no fancy stuff (like `#if defined()`, or any non-trivial preprocessor expressions) in this issue, yet.
|
1.0
|
Preprocessor macro support (`#define`, `#ifdef`) - We should support simple macro definitions and usage. Say, this should be valid:
```
#define foo main
#ifdef foo
int foo() { return 0; }
#endif
```
Note that there's no fancy stuff (like `#if defined()`, or any non-trivial preprocessor expressions) in this issue, yet.
|
process
|
preprocessor macro support define ifdef we should support simple macro definitions and usage say this should be valid define foo main ifdef foo int foo return endif note that there s no fancy stuff like if defined or any non trivial preprocessor expressions in this issue yet
| 1
|
673,373
| 22,960,057,985
|
IssuesEvent
|
2022-07-19 14:42:04
|
celo-org/celo-monorepo
|
https://api.github.com/repos/celo-org/celo-monorepo
|
closed
|
Locked gold requirement prompts should pull params from chain
|
good first issue cli enhancement Priority: P4 Applications Component: CLI dog stale
|
### Expected Behavior
Confirmation prompts for `validatorgroup:member` and `validator:affiliate` pull the locked gold requirement params directly from the chain rather than have them be hard coded
|
1.0
|
Locked gold requirement prompts should pull params from chain - ### Expected Behavior
Confirmation prompts for `validatorgroup:member` and `validator:affiliate` pull the locked gold requirement params directly from the chain rather than have them be hard coded
|
non_process
|
locked gold requirement prompts should pull params from chain expected behavior confirmation prompts for validatorgroup member and validator affiliate pull the locked gold requirement params directly from the chain rather than have them be hard coded
| 0
|
12,794
| 15,175,664,226
|
IssuesEvent
|
2021-02-14 00:23:11
|
nion-software/nionswift
|
https://api.github.com/repos/nion-software/nionswift
|
closed
|
Error from updating 0.14.8 to 0.15.1
|
f - computations f - line-plot f - processing f - projects type - bug
|
After updating from version 0.14.8 any spectrum image that has been reduced prior to the update with a "pick (sum)" or "pick (average)" has an error if the "display bounds" are moved.
The anaconda terminal continually repeats the following error message, freezing the software.
```
:
'NoneType' object is not subscriptable
Traceback (most recent call last):
File "C:/Users/Agust/Miniconda3/envs/nionswift/Scripts/NionSwiftLauncher\bootstrap.py", line 25, in bootstrap_dispatch
return getattr(object, method_name)(*args)
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\QtUserInterface.py", line 1862, in periodic
self._handle_periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 2927, in _handle_periodic
self.root_widget.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 572, in periodic
child.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 572, in periodic
child.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 572, in periodic
child.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 2206, in periodic
self.on_mouse_position_changed(*self.position_info)
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\CanvasItem.py", line 3011, in __mouse_position_changed
self.__mouse_tracking_canvas_item.mouse_position_changed(canvas_item_point.x, canvas_item_point.y, modifiers)
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\swift\LinePlotCanvasItem.py", line 709, in mouse_position_changed
self.__update_cursor_info()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\swift\LinePlotCanvasItem.py", line 1022, in __update_cursor_info
line_graph_canvas_item = self.line_graph_canvas_item
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\swift\LinePlotCanvasItem.py", line 254, in line_graph_canvas_item
return self.__line_graph_stack.canvas_items[0] if self.__line_graph_stack else None
TypeError
:
```
|
1.0
|
Error from updating 0.14.8 to 0.15.1 - After updating from version 0.14.8 any spectrum image that has been reduced prior to the update with a "pick (sum)" or "pick (average)" has an error if the "display bounds" are moved.
The anaconda terminal continually repeats the following error message, freezing the software.
```
:
'NoneType' object is not subscriptable
Traceback (most recent call last):
File "C:/Users/Agust/Miniconda3/envs/nionswift/Scripts/NionSwiftLauncher\bootstrap.py", line 25, in bootstrap_dispatch
return getattr(object, method_name)(*args)
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\QtUserInterface.py", line 1862, in periodic
self._handle_periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 2927, in _handle_periodic
self.root_widget.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 572, in periodic
child.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 572, in periodic
child.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 572, in periodic
child.periodic()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\UserInterface.py", line 2206, in periodic
self.on_mouse_position_changed(*self.position_info)
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\ui\CanvasItem.py", line 3011, in __mouse_position_changed
self.__mouse_tracking_canvas_item.mouse_position_changed(canvas_item_point.x, canvas_item_point.y, modifiers)
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\swift\LinePlotCanvasItem.py", line 709, in mouse_position_changed
self.__update_cursor_info()
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\swift\LinePlotCanvasItem.py", line 1022, in __update_cursor_info
line_graph_canvas_item = self.line_graph_canvas_item
File "C:\Users\Agust\Miniconda3\envs\nionswift\lib\site-packages\nion\swift\LinePlotCanvasItem.py", line 254, in line_graph_canvas_item
return self.__line_graph_stack.canvas_items[0] if self.__line_graph_stack else None
TypeError
:
```
|
process
|
error from updating to after updating from version any spectrum image that has been reduced prior to the update with a pick sum or pick average has an error if the display bounds are moved the anaconda terminal continually repeats the following error message freezing the software nonetype object is not subscriptable traceback most recent call last file c users agust envs nionswift scripts nionswiftlauncher bootstrap py line in bootstrap dispatch return getattr object method name args file c users agust envs nionswift lib site packages nion ui qtuserinterface py line in periodic self handle periodic file c users agust envs nionswift lib site packages nion ui userinterface py line in handle periodic self root widget periodic file c users agust envs nionswift lib site packages nion ui userinterface py line in periodic child periodic file c users agust envs nionswift lib site packages nion ui userinterface py line in periodic child periodic file c users agust envs nionswift lib site packages nion ui userinterface py line in periodic child periodic file c users agust envs nionswift lib site packages nion ui userinterface py line in periodic self on mouse position changed self position info file c users agust envs nionswift lib site packages nion ui canvasitem py line in mouse position changed self mouse tracking canvas item mouse position changed canvas item point x canvas item point y modifiers file c users agust envs nionswift lib site packages nion swift lineplotcanvasitem py line in mouse position changed self update cursor info file c users agust envs nionswift lib site packages nion swift lineplotcanvasitem py line in update cursor info line graph canvas item self line graph canvas item file c users agust envs nionswift lib site packages nion swift lineplotcanvasitem py line in line graph canvas item return self line graph stack canvas items if self line graph stack else none typeerror
| 1
|
30,880
| 11,860,105,208
|
IssuesEvent
|
2020-03-25 14:25:11
|
BrianMcDonaldWS/atlas
|
https://api.github.com/repos/BrianMcDonaldWS/atlas
|
opened
|
WS-2019-0379 (Medium) detected in commons-codec-1.11.jar
|
security vulnerability
|
## WS-2019-0379 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Library - <b>commons-codec-1.11.jar</b></p></summary>
<p>The Apache Commons Codec package contains simple encoder and decoders for
various formats such as Base64 and Hexadecimal. In addition to these
widely used encoders and decoders, the codec package also maintains a
collection of phonetic encoding utilities.</p>
<p>Path to vulnerable library: /root/.ivy2/cache/commons-codec/commons-codec/jars/commons-codec-1.11.jar</p>
<p>
Dependency Hierarchy:
- aws-java-sdk-cloudwatch-1.11.723.jar (Root Library)
- aws-java-sdk-core-1.11.723.jar
- httpclient-4.5.9.jar
- :x: **commons-codec-1.11.jar** (Vulnerable Library)
<p>Found in HEAD commit: <a href="https://github.com/BrianMcDonaldWS/atlas/commit/4dc74687d2abe313be3c8f93437c23284d85ef1f">4dc74687d2abe313be3c8f93437c23284d85ef1f</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
Apache commons-codec before version “commons-codec-1.13-RC1” is vulnerable to information disclosure due to Improper Input validation.
<p>Publish Date: 2020-03-05
<p>URL: <a href=https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113>WS-2019-0379</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>6.5</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: N/A
- Attack Complexity: N/A
- Privileges Required: N/A
- User Interaction: N/A
- Scope: N/A
- Impact Metrics:
- Confidentiality Impact: N/A
- Integrity Impact: N/A
- Availability Impact: N/A
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113">https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113</a></p>
<p>Release Date: 2020-03-05</p>
<p>Fix Resolution: commons-codec:commons-codec:1.13</p>
</p>
</details>
<p></p>
<!-- <REMEDIATE>{"isOpenPROnVulnerability":false,"isPackageBased":true,"isDefaultBranch":true,"packages":[{"packageType":"Java","groupId":"commons-codec","packageName":"commons-codec","packageVersion":"1.11","isTransitiveDependency":true,"dependencyTree":"com.amazonaws:aws-java-sdk-cloudwatch:1.11.723;com.amazonaws:aws-java-sdk-core:1.11.723;org.apache.httpcomponents:httpclient:4.5.9;commons-codec:commons-codec:1.11","isMinimumFixVersionAvailable":true,"minimumFixVersion":"commons-codec:commons-codec:1.13"}],"vulnerabilityIdentifier":"WS-2019-0379","vulnerabilityDetails":"Apache commons-codec before version “commons-codec-1.13-RC1” is vulnerable to information disclosure due to Improper Input validation.","vulnerabilityUrl":"https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113","cvss3Severity":"medium","cvss3Score":"6.5","cvss3Metrics":{"A":"N/A","AC":"N/A","PR":"N/A","S":"N/A","C":"N/A","UI":"N/A","AV":"N/A","I":"N/A"},"extraData":{}}</REMEDIATE> -->
|
True
|
WS-2019-0379 (Medium) detected in commons-codec-1.11.jar - ## WS-2019-0379 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Library - <b>commons-codec-1.11.jar</b></p></summary>
<p>The Apache Commons Codec package contains simple encoder and decoders for
various formats such as Base64 and Hexadecimal. In addition to these
widely used encoders and decoders, the codec package also maintains a
collection of phonetic encoding utilities.</p>
<p>Path to vulnerable library: /root/.ivy2/cache/commons-codec/commons-codec/jars/commons-codec-1.11.jar</p>
<p>
Dependency Hierarchy:
- aws-java-sdk-cloudwatch-1.11.723.jar (Root Library)
- aws-java-sdk-core-1.11.723.jar
- httpclient-4.5.9.jar
- :x: **commons-codec-1.11.jar** (Vulnerable Library)
<p>Found in HEAD commit: <a href="https://github.com/BrianMcDonaldWS/atlas/commit/4dc74687d2abe313be3c8f93437c23284d85ef1f">4dc74687d2abe313be3c8f93437c23284d85ef1f</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
Apache commons-codec before version “commons-codec-1.13-RC1” is vulnerable to information disclosure due to Improper Input validation.
<p>Publish Date: 2020-03-05
<p>URL: <a href=https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113>WS-2019-0379</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>6.5</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: N/A
- Attack Complexity: N/A
- Privileges Required: N/A
- User Interaction: N/A
- Scope: N/A
- Impact Metrics:
- Confidentiality Impact: N/A
- Integrity Impact: N/A
- Availability Impact: N/A
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113">https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113</a></p>
<p>Release Date: 2020-03-05</p>
<p>Fix Resolution: commons-codec:commons-codec:1.13</p>
</p>
</details>
<p></p>
<!-- <REMEDIATE>{"isOpenPROnVulnerability":false,"isPackageBased":true,"isDefaultBranch":true,"packages":[{"packageType":"Java","groupId":"commons-codec","packageName":"commons-codec","packageVersion":"1.11","isTransitiveDependency":true,"dependencyTree":"com.amazonaws:aws-java-sdk-cloudwatch:1.11.723;com.amazonaws:aws-java-sdk-core:1.11.723;org.apache.httpcomponents:httpclient:4.5.9;commons-codec:commons-codec:1.11","isMinimumFixVersionAvailable":true,"minimumFixVersion":"commons-codec:commons-codec:1.13"}],"vulnerabilityIdentifier":"WS-2019-0379","vulnerabilityDetails":"Apache commons-codec before version “commons-codec-1.13-RC1” is vulnerable to information disclosure due to Improper Input validation.","vulnerabilityUrl":"https://github.com/apache/commons-codec/commit/48b615756d1d770091ea3322eefc08011ee8b113","cvss3Severity":"medium","cvss3Score":"6.5","cvss3Metrics":{"A":"N/A","AC":"N/A","PR":"N/A","S":"N/A","C":"N/A","UI":"N/A","AV":"N/A","I":"N/A"},"extraData":{}}</REMEDIATE> -->
|
non_process
|
ws medium detected in commons codec jar ws medium severity vulnerability vulnerable library commons codec jar the apache commons codec package contains simple encoder and decoders for various formats such as and hexadecimal in addition to these widely used encoders and decoders the codec package also maintains a collection of phonetic encoding utilities path to vulnerable library root cache commons codec commons codec jars commons codec jar dependency hierarchy aws java sdk cloudwatch jar root library aws java sdk core jar httpclient jar x commons codec jar vulnerable library found in head commit a href vulnerability details apache commons codec before version “commons codec ” is vulnerable to information disclosure due to improper input validation publish date url a href cvss score details base score metrics exploitability metrics attack vector n a attack complexity n a privileges required n a user interaction n a scope n a impact metrics confidentiality impact n a integrity impact n a availability impact n a for more information on scores click a href suggested fix type upgrade version origin a href release date fix resolution commons codec commons codec isopenpronvulnerability false ispackagebased true isdefaultbranch true packages vulnerabilityidentifier ws vulnerabilitydetails apache commons codec before version “commons codec ” is vulnerable to information disclosure due to improper input validation vulnerabilityurl
| 0
|
11,555
| 14,435,558,400
|
IssuesEvent
|
2020-12-07 08:55:03
|
bazelbuild/bazel
|
https://api.github.com/repos/bazelbuild/bazel
|
closed
|
embedded @platforms repo is old
|
P1 team-XProduct type: process
|
Bazel currently embeds https://github.com/bazelbuild/platforms/commit/46993efdd33b73649796c5fc5c9efb193ae19d51 from November of last year. It'd be nice to bump this up to the current HEAD.
|
1.0
|
embedded @platforms repo is old - Bazel currently embeds https://github.com/bazelbuild/platforms/commit/46993efdd33b73649796c5fc5c9efb193ae19d51 from November of last year. It'd be nice to bump this up to the current HEAD.
|
process
|
embedded platforms repo is old bazel currently embeds from november of last year it d be nice to bump this up to the current head
| 1
|
242,676
| 7,845,299,716
|
IssuesEvent
|
2018-06-19 12:33:14
|
webcompat/web-bugs
|
https://api.github.com/repos/webcompat/web-bugs
|
closed
|
unix.stackexchange.com - see bug description
|
browser-firefox-tablet priority-important
|
<!-- @browser: Firefox Mobile (Tablet) 62.0 -->
<!-- @ua_header: Mozilla/5.0 (Android 4.4; Tablet; rv:62.0) Gecko/62.0 Firefox/62.0 -->
<!-- @reported_with: mobile-reporter -->
**URL**: https://unix.stackexchange.com/questions/157022/make-nginx-follow-symlinks
**Browser / Version**: Firefox Mobile (Tablet) 62.0
**Operating System**: Android 4.4
**Tested Another Browser**: No
**Problem type**: Something else
**Description**: fonts are too small for large screen in mobile site; need to switch to desktop version
**Steps to Reproduce**:
_From [webcompat.com](https://webcompat.com/) with ❤️_
|
1.0
|
unix.stackexchange.com - see bug description - <!-- @browser: Firefox Mobile (Tablet) 62.0 -->
<!-- @ua_header: Mozilla/5.0 (Android 4.4; Tablet; rv:62.0) Gecko/62.0 Firefox/62.0 -->
<!-- @reported_with: mobile-reporter -->
**URL**: https://unix.stackexchange.com/questions/157022/make-nginx-follow-symlinks
**Browser / Version**: Firefox Mobile (Tablet) 62.0
**Operating System**: Android 4.4
**Tested Another Browser**: No
**Problem type**: Something else
**Description**: fonts are too small for large screen in mobile site; need to switch to desktop version
**Steps to Reproduce**:
_From [webcompat.com](https://webcompat.com/) with ❤️_
|
non_process
|
unix stackexchange com see bug description url browser version firefox mobile tablet operating system android tested another browser no problem type something else description fonts are too small for large screen in mobile site need to switch to desktop version steps to reproduce from with ❤️
| 0
|
8,566
| 23,019,572,358
|
IssuesEvent
|
2022-07-22 02:46:26
|
facebook/react-native
|
https://api.github.com/repos/facebook/react-native
|
opened
|
[iOS] Unable to archive & export build with bundled Hermes with mismatched Clang versions
|
Needs: Triage :mag: Type: New Architecture
|
### Description
When using the bundled hermes engine for iOS, an error occurs when attempting to archive and export a release build through `xcodebuild`. The issue appears to be caused by a mismatch between the clang version used to compile the hermes engine extracted from the tarball, and the clang version used to build the app itself (host machine).
Below is the relevant error message from the xcodebuild output
```sh
Command took 0 seconds
Clang: cd /var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/tempsduxy68_
['/Applications/Xcode_13.2.1.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/clang', '-cc1', '-cc1', '-triple', 'arm64-apple-ios11.0.0', '-emit-obj', '--mrelax-relocations', '-disable-llvm-passes', '-target-sdk-version=15.4', '-fvisibility-inlines-hidden-static-local-var', '-target-abi', 'darwinpcs', '-O3', '-x', 'ir', '117', '-o', '117.o']
-= Output =-
error: Invalid value (Producer: 'APPLE_1_1316.0.21.2.3_0' Reader: 'LLVM APPLE_1_1300.0.29.30_0')
1 error generated.
Exited with 1
```
Specifically the thing of note is hermes is produced with a clang version of 13.1.6, and the react native app is being built with a clang version of 13.0.0
In my case I am on macOS 11 which has a max supported XCode version of 13.2.1 (clang 13.0.0)
I haven't tested if this only errors when using a clang version less than hermes (i.e. clang 14.x may work fine as its a higher version)
### Version
0.69.2
### Output of `npx react-native info`
System:
OS: macOS 11.6.7
CPU: (16) x64 Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz
Memory: 1.35 GB / 32.00 GB
Shell: 5.8 - /bin/zsh
Binaries:
Node: 14.19.0 - ~/.nvm/versions/node/v14.19.0/bin/node
Yarn: 1.22.19 - /usr/local/bin/yarn
npm: 6.14.16 - ~/.nvm/versions/node/v14.19.0/bin/npm
Watchman: 2022.07.04.00 - /usr/local/bin/watchman
Managers:
CocoaPods: 1.11.3 - /usr/local/lib/ruby/gems/2.7.0/bin/pod
SDKs:
iOS SDK:
Platforms: DriverKit 21.2, iOS 15.2, macOS 12.1, tvOS 15.2, watchOS 8.3
Android SDK:
API Levels: 29, 30, 31, 32
Build Tools: 29.0.3, 30.0.2, 30.0.3, 31.0.0
System Images: android-29 | Intel x86 Atom_64, android-29 | Google APIs Intel x86 Atom_64, android-29 | Google Play Intel x86 Atom_64, android-30 | Google APIs Intel x86 Atom_64
Android NDK: Not Found
IDEs:
Android Studio: Not Found
Xcode: 13.2.1/13C100 - /usr/bin/xcodebuild
Languages:
Java: 11.0.15 - /usr/bin/javac
npmPackages:
@react-native-community/cli: Not Found
react: 18.0.0 => 18.0.0
react-native: 0.69.2 => 0.69.2
react-native-macos: Not Found
npmGlobalPackages:
*react-native*: Not Found
### Steps to reproduce
* Enable hermes on a RN 0.69.x project
* Ensure you have XCode <= 13.2.1 (or Clang < 13.1.6)
* Ensure codesign is setup
* Attempt to archive and export a release build using xcodebuild
### Snack, code example, screenshot, or link to a repository
Can use create-react-native-app or react-native init and setup codesigning to be able to produce an archive and export
|
1.0
|
[iOS] Unable to archive & export build with bundled Hermes with mismatched Clang versions - ### Description
When using the bundled hermes engine for iOS, an error occurs when attempting to archive and export a release build through `xcodebuild`. The issue appears to be caused by a mismatch between the clang version used to compile the hermes engine extracted from the tarball, and the clang version used to build the app itself (host machine).
Below is the relevant error message from the xcodebuild output
```sh
Command took 0 seconds
Clang: cd /var/folders/24/8k48jl6d249_n_qfxwsl6xvm0000gn/T/tempsduxy68_
['/Applications/Xcode_13.2.1.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/clang', '-cc1', '-cc1', '-triple', 'arm64-apple-ios11.0.0', '-emit-obj', '--mrelax-relocations', '-disable-llvm-passes', '-target-sdk-version=15.4', '-fvisibility-inlines-hidden-static-local-var', '-target-abi', 'darwinpcs', '-O3', '-x', 'ir', '117', '-o', '117.o']
-= Output =-
error: Invalid value (Producer: 'APPLE_1_1316.0.21.2.3_0' Reader: 'LLVM APPLE_1_1300.0.29.30_0')
1 error generated.
Exited with 1
```
Specifically the thing of note is hermes is produced with a clang version of 13.1.6, and the react native app is being built with a clang version of 13.0.0
In my case I am on macOS 11 which has a max supported XCode version of 13.2.1 (clang 13.0.0)
I haven't tested if this only errors when using a clang version less than hermes (i.e. clang 14.x may work fine as its a higher version)
### Version
0.69.2
### Output of `npx react-native info`
System:
OS: macOS 11.6.7
CPU: (16) x64 Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz
Memory: 1.35 GB / 32.00 GB
Shell: 5.8 - /bin/zsh
Binaries:
Node: 14.19.0 - ~/.nvm/versions/node/v14.19.0/bin/node
Yarn: 1.22.19 - /usr/local/bin/yarn
npm: 6.14.16 - ~/.nvm/versions/node/v14.19.0/bin/npm
Watchman: 2022.07.04.00 - /usr/local/bin/watchman
Managers:
CocoaPods: 1.11.3 - /usr/local/lib/ruby/gems/2.7.0/bin/pod
SDKs:
iOS SDK:
Platforms: DriverKit 21.2, iOS 15.2, macOS 12.1, tvOS 15.2, watchOS 8.3
Android SDK:
API Levels: 29, 30, 31, 32
Build Tools: 29.0.3, 30.0.2, 30.0.3, 31.0.0
System Images: android-29 | Intel x86 Atom_64, android-29 | Google APIs Intel x86 Atom_64, android-29 | Google Play Intel x86 Atom_64, android-30 | Google APIs Intel x86 Atom_64
Android NDK: Not Found
IDEs:
Android Studio: Not Found
Xcode: 13.2.1/13C100 - /usr/bin/xcodebuild
Languages:
Java: 11.0.15 - /usr/bin/javac
npmPackages:
@react-native-community/cli: Not Found
react: 18.0.0 => 18.0.0
react-native: 0.69.2 => 0.69.2
react-native-macos: Not Found
npmGlobalPackages:
*react-native*: Not Found
### Steps to reproduce
* Enable hermes on a RN 0.69.x project
* Ensure you have XCode <= 13.2.1 (or Clang < 13.1.6)
* Ensure codesign is setup
* Attempt to archive and export a release build using xcodebuild
### Snack, code example, screenshot, or link to a repository
Can use create-react-native-app or react-native init and setup codesigning to be able to produce an archive and export
|
non_process
|
unable to archive export build with bundled hermes with mismatched clang versions description when using the bundled hermes engine for ios an error occurs when attempting to archive and export a release build through xcodebuild the issue appears to be caused by a mismatch between the clang version used to compile the hermes engine extracted from the tarball and the clang version used to build the app itself host machine below is the relevant error message from the xcodebuild output sh command took seconds clang cd var folders n t output error invalid value producer apple reader llvm apple error generated exited with specifically the thing of note is hermes is produced with a clang version of and the react native app is being built with a clang version of in my case i am on macos which has a max supported xcode version of clang i haven t tested if this only errors when using a clang version less than hermes i e clang x may work fine as its a higher version version output of npx react native info system os macos cpu intel r core tm cpu memory gb gb shell bin zsh binaries node nvm versions node bin node yarn usr local bin yarn npm nvm versions node bin npm watchman usr local bin watchman managers cocoapods usr local lib ruby gems bin pod sdks ios sdk platforms driverkit ios macos tvos watchos android sdk api levels build tools system images android intel atom android google apis intel atom android google play intel atom android google apis intel atom android ndk not found ides android studio not found xcode usr bin xcodebuild languages java usr bin javac npmpackages react native community cli not found react react native react native macos not found npmglobalpackages react native not found steps to reproduce enable hermes on a rn x project ensure you have xcode or clang ensure codesign is setup attempt to archive and export a release build using xcodebuild snack code example screenshot or link to a repository can use create react native app or react native init and setup codesigning to be able to produce an archive and export
| 0
|
376,498
| 11,147,899,810
|
IssuesEvent
|
2019-12-23 14:01:57
|
webcompat/web-bugs
|
https://api.github.com/repos/webcompat/web-bugs
|
closed
|
twitter.com - site is not usable
|
browser-firefox engine-gecko ml-needsdiagnosis-false ml-probability-high priority-critical
|
<!-- @browser: Firefox 73.0 -->
<!-- @ua_header: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:73.0) Gecko/20100101 Firefox/73.0 -->
<!-- @reported_with: desktop-reporter -->
**URL**: https://twitter.com/
**Browser / Version**: Firefox 73.0
**Operating System**: Ubuntu
**Tested Another Browser**: Yes
**Problem type**: Site is not usable
**Description**: Site not usable
**Steps to Reproduce**:
[](https://webcompat.com/uploads/2019/12/a95597ea-fa80-4e6e-99cb-58eb880d94d7.jpeg)
<details>
<summary>Browser Configuration</summary>
<ul>
<li>gfx.webrender.all: false</li><li>gfx.webrender.blob-images: true</li><li>gfx.webrender.enabled: false</li><li>image.mem.shared: true</li><li>buildID: 20191222154432</li><li>channel: nightly</li><li>hasTouchScreen: false</li><li>mixed active content blocked: false</li><li>mixed passive content blocked: false</li><li>tracking content blocked: false</li>
</ul>
</details>
[View console log messages](https://webcompat.com/console_logs/2019/12/37a6c872-41fc-41de-875a-28453cd17d77)
_From [webcompat.com](https://webcompat.com/) with ❤️_
|
1.0
|
twitter.com - site is not usable - <!-- @browser: Firefox 73.0 -->
<!-- @ua_header: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:73.0) Gecko/20100101 Firefox/73.0 -->
<!-- @reported_with: desktop-reporter -->
**URL**: https://twitter.com/
**Browser / Version**: Firefox 73.0
**Operating System**: Ubuntu
**Tested Another Browser**: Yes
**Problem type**: Site is not usable
**Description**: Site not usable
**Steps to Reproduce**:
[](https://webcompat.com/uploads/2019/12/a95597ea-fa80-4e6e-99cb-58eb880d94d7.jpeg)
<details>
<summary>Browser Configuration</summary>
<ul>
<li>gfx.webrender.all: false</li><li>gfx.webrender.blob-images: true</li><li>gfx.webrender.enabled: false</li><li>image.mem.shared: true</li><li>buildID: 20191222154432</li><li>channel: nightly</li><li>hasTouchScreen: false</li><li>mixed active content blocked: false</li><li>mixed passive content blocked: false</li><li>tracking content blocked: false</li>
</ul>
</details>
[View console log messages](https://webcompat.com/console_logs/2019/12/37a6c872-41fc-41de-875a-28453cd17d77)
_From [webcompat.com](https://webcompat.com/) with ❤️_
|
non_process
|
twitter com site is not usable url browser version firefox operating system ubuntu tested another browser yes problem type site is not usable description site not usable steps to reproduce browser configuration gfx webrender all false gfx webrender blob images true gfx webrender enabled false image mem shared true buildid channel nightly hastouchscreen false mixed active content blocked false mixed passive content blocked false tracking content blocked false from with ❤️
| 0
|
10,289
| 13,145,083,467
|
IssuesEvent
|
2020-08-08 01:30:24
|
elastic/beats
|
https://api.github.com/repos/elastic/beats
|
closed
|
[Feature request] Add selectable fields for add_docker_metadata processor
|
:Processors Stalled enhancement needs_team
|
It would be great to be able to select which fields we want from `add_docker_metadata` prospector
I'm doing currently:
```yml
processors:
- add_docker_metadata: ~
- drop_fields:
fields: ["input.type", "prospector.type", "docker.container.id", "docker.container.labels.com.docker.stack.namespace", "docker.container.labels.com.docker.swarm.node.id", "docker.container.labels.com.docker.swarm.service.id", "docker.container.labels.com.docker.swarm.service.name", "docker.container.labels.com.docker.swarm.task.id", "docker.container.labels.com.docker.swarm.task.name", "docker.container.labels.com.docker.swarm.task.value"]
```
What I'd like is:
```yml
processors:
- add_docker_metadata:
fields: ["docker.container.image", "docker.container.name"]
```
discuss link: https://discuss.elastic.co/t/add-docker-metadata-filter-desired-fields/145502
|
1.0
|
[Feature request] Add selectable fields for add_docker_metadata processor - It would be great to be able to select which fields we want from `add_docker_metadata` prospector
I'm doing currently:
```yml
processors:
- add_docker_metadata: ~
- drop_fields:
fields: ["input.type", "prospector.type", "docker.container.id", "docker.container.labels.com.docker.stack.namespace", "docker.container.labels.com.docker.swarm.node.id", "docker.container.labels.com.docker.swarm.service.id", "docker.container.labels.com.docker.swarm.service.name", "docker.container.labels.com.docker.swarm.task.id", "docker.container.labels.com.docker.swarm.task.name", "docker.container.labels.com.docker.swarm.task.value"]
```
What I'd like is:
```yml
processors:
- add_docker_metadata:
fields: ["docker.container.image", "docker.container.name"]
```
discuss link: https://discuss.elastic.co/t/add-docker-metadata-filter-desired-fields/145502
|
process
|
add selectable fields for add docker metadata processor it would be great to be able to select which fields we want from add docker metadata prospector i m doing currently yml processors add docker metadata drop fields fields what i d like is yml processors add docker metadata fields discuss link
| 1
|
90,552
| 11,418,200,709
|
IssuesEvent
|
2020-02-03 03:31:35
|
chriskrycho/v5.chriskrycho.com
|
https://api.github.com/repos/chriskrycho/v5.chriskrycho.com
|
closed
|
Subscribe links
|
design implementation
|
Right now, the feed is discoverable if you point a feed reader at it, but there's nothing *on the page itself* that makes it discoverable any other way. The email subscription is completely impossible to find. Need to design and add links for them somewhere.
|
1.0
|
Subscribe links - Right now, the feed is discoverable if you point a feed reader at it, but there's nothing *on the page itself* that makes it discoverable any other way. The email subscription is completely impossible to find. Need to design and add links for them somewhere.
|
non_process
|
subscribe links right now the feed is discoverable if you point a feed reader at it but there s nothing on the page itself that makes it discoverable any other way the email subscription is completely impossible to find need to design and add links for them somewhere
| 0
|
357
| 2,794,862,610
|
IssuesEvent
|
2015-05-11 18:57:07
|
scieloorg/search-journals
|
https://api.github.com/repos/scieloorg/search-journals
|
opened
|
Adicionar a capacidade de gravar log no processamento
|
Processamento Tarefa
|
Atualmente o processamento do sistema de pesquisa não grava arquivo de log.
É extremamente importante inserimos no processamento a capacidade de gerar um arquivo de log com uma capacidade de introspecção e parametrizável (-l ['INFO', 'DEBUG', 'WARNING', ....]).
|
1.0
|
Adicionar a capacidade de gravar log no processamento - Atualmente o processamento do sistema de pesquisa não grava arquivo de log.
É extremamente importante inserimos no processamento a capacidade de gerar um arquivo de log com uma capacidade de introspecção e parametrizável (-l ['INFO', 'DEBUG', 'WARNING', ....]).
|
process
|
adicionar a capacidade de gravar log no processamento atualmente o processamento do sistema de pesquisa não grava arquivo de log é extremamente importante inserimos no processamento a capacidade de gerar um arquivo de log com uma capacidade de introspecção e parametrizável l
| 1
|
325,204
| 9,921,168,174
|
IssuesEvent
|
2019-06-30 15:52:34
|
r-lib/styler
|
https://api.github.com/repos/r-lib/styler
|
closed
|
styler fails to correctly style syntactic rlang sugar {{
|
Complexity: Low Priority: High Status: WIP Type: Enhancement
|
Hi!
I noticed that the new `{{ }}` operator from `rlang` is not styled properly; for instance, if I style the following lines
```r
library(rlang)
name <- "Jane"
list2({{name}} := 1 + 2)
```
I get the following:
```r
library(rlang)
name <- "Jane"
list2({
{
name
}
} := 1 + 2)
```
Not sure what would be a good way of handling this specific operator (maybe @lionel- has an idea), I just thought about reporting it.
Anyway, thanks for `styler`: absolutely love the package!
Alessandro
|
1.0
|
styler fails to correctly style syntactic rlang sugar {{ - Hi!
I noticed that the new `{{ }}` operator from `rlang` is not styled properly; for instance, if I style the following lines
```r
library(rlang)
name <- "Jane"
list2({{name}} := 1 + 2)
```
I get the following:
```r
library(rlang)
name <- "Jane"
list2({
{
name
}
} := 1 + 2)
```
Not sure what would be a good way of handling this specific operator (maybe @lionel- has an idea), I just thought about reporting it.
Anyway, thanks for `styler`: absolutely love the package!
Alessandro
|
non_process
|
styler fails to correctly style syntactic rlang sugar hi i noticed that the new operator from rlang is not styled properly for instance if i style the following lines r library rlang name jane name i get the following r library rlang name jane name not sure what would be a good way of handling this specific operator maybe lionel has an idea i just thought about reporting it anyway thanks for styler absolutely love the package alessandro
| 0
|
120,209
| 4,786,856,929
|
IssuesEvent
|
2016-10-29 17:25:26
|
PowerlineApp/powerline-server
|
https://api.github.com/repos/PowerlineApp/powerline-server
|
closed
|
use swagger for api endpoint documentation
|
api enhancement P4 - Really Low Priority
|
let's look at how easy it might be to leverage http://swagger.io/ for api documentation.
|
1.0
|
use swagger for api endpoint documentation - let's look at how easy it might be to leverage http://swagger.io/ for api documentation.
|
non_process
|
use swagger for api endpoint documentation let s look at how easy it might be to leverage for api documentation
| 0
|
6,640
| 9,753,453,848
|
IssuesEvent
|
2019-06-04 09:10:37
|
aiidateam/aiida_core
|
https://api.github.com/repos/aiidateam/aiida_core
|
closed
|
Verify that tasks in the process queue of RabbitMQ are properly persisted
|
aiida-core 1.x priority/critical-blocking topic/engine topic/processes topic/rabbitmq type/bug
|
There has been a report here and there that processes did not continue after rebooting the system. The only thing I can think of is that the tasks that were with RabbitMQ were not properly persisted. This would be an enormous problem, but also hard to believe. Needs to first be reproduced
|
1.0
|
Verify that tasks in the process queue of RabbitMQ are properly persisted - There has been a report here and there that processes did not continue after rebooting the system. The only thing I can think of is that the tasks that were with RabbitMQ were not properly persisted. This would be an enormous problem, but also hard to believe. Needs to first be reproduced
|
process
|
verify that tasks in the process queue of rabbitmq are properly persisted there has been a report here and there that processes did not continue after rebooting the system the only thing i can think of is that the tasks that were with rabbitmq were not properly persisted this would be an enormous problem but also hard to believe needs to first be reproduced
| 1
|
11,024
| 13,820,849,281
|
IssuesEvent
|
2020-10-13 00:42:34
|
tokio-rs/tokio
|
https://api.github.com/repos/tokio-rs/tokio
|
closed
|
tokio::process::Command::spawn can fail with WouldBlock
|
A-tokio C-bug M-process
|
**Version**
- tokio v0.2.22
- tokio-macros v0.2.5
- tokio-test v0.2.1
- rustc 1.48.0-nightly (9b4154193 2020-09-14)
**Platform**
```
Darwin * 19.5.0 Darwin Kernel Version 19.5.0: Tue May 26 20:41:44 PDT 2020; root:xnu-6153.121.2~2/RELEASE_X86_64 x86_64
```
**Description**
While stress-testing a process library I'm writing, I encountered somewhat reproducible instances of
```rust
let child = tokio::process::Command::new("...")
.stdout(std::process::Stdio::piped())
.spawn()
.unwrap();
```
failing with a `WouldBlock` error.
I expected that the underlying error would simply cause a future to be blocked, rather than returning a `Result::Err`.
|
1.0
|
tokio::process::Command::spawn can fail with WouldBlock - **Version**
- tokio v0.2.22
- tokio-macros v0.2.5
- tokio-test v0.2.1
- rustc 1.48.0-nightly (9b4154193 2020-09-14)
**Platform**
```
Darwin * 19.5.0 Darwin Kernel Version 19.5.0: Tue May 26 20:41:44 PDT 2020; root:xnu-6153.121.2~2/RELEASE_X86_64 x86_64
```
**Description**
While stress-testing a process library I'm writing, I encountered somewhat reproducible instances of
```rust
let child = tokio::process::Command::new("...")
.stdout(std::process::Stdio::piped())
.spawn()
.unwrap();
```
failing with a `WouldBlock` error.
I expected that the underlying error would simply cause a future to be blocked, rather than returning a `Result::Err`.
|
process
|
tokio process command spawn can fail with wouldblock version tokio tokio macros tokio test rustc nightly platform darwin darwin kernel version tue may pdt root xnu release description while stress testing a process library i m writing i encountered somewhat reproducible instances of rust let child tokio process command new stdout std process stdio piped spawn unwrap failing with a wouldblock error i expected that the underlying error would simply cause a future to be blocked rather than returning a result err
| 1
|
454,856
| 13,108,618,263
|
IssuesEvent
|
2020-08-04 17:09:41
|
zephyrproject-rtos/zephyr
|
https://api.github.com/repos/zephyrproject-rtos/zephyr
|
closed
|
[v2.1] Unable to build Zephyr 2.1 for Upsquared board running ACRN
|
area: X86 bug priority: low
|
Hi
We cannot build Zephyr 2.1 for ACRN because we get errors related to CTF. We want to get the CTF output over UART but this does not seem to be an option for this version of Zephyr as it seems that POSIX is the only way. We want to try this version because we noticed that whenever we ran Zephyr version 2.2.99 and 2.3 on the board via ACRN we got a 10x slowdown, so a task set to run for 1 tick ran for 10 ticks. This is when running the same settings as we have when we are running Zephyr directly on the board.
Ticks/s = 1000
System clock = 19200000 Hz
We posted about this issue on the ACRN github and they suggested we try running Zephyr 2.1 since that was the only version they have verifed.
We took our ctf_functions and just copied them over from the newer version of Zephyr to the older one as the interface for those looked the same. And we only added the changes we have made and not changed the files in any other way.
The errors we got looked like this:
```
/home/linux/zephyrproject/zephyr/subsys/debug/tracing/ctf/bottoms/posix/ctf_bottom.h:36:17: note: in expansion of macro 'MAP'
36 | u8_t epacket[0 MAP(CTF_BOTTOM_INTERNAL_FIELD_SIZE, ##VA_ARGS)];
```
Which we have no idea what it means or what it want us to change with the implementations.
Here is the link to our issue on the ACRN gituhb: https://github.com/projectacrn/acrn-hypervisor/issues/5008
|
1.0
|
[v2.1] Unable to build Zephyr 2.1 for Upsquared board running ACRN - Hi
We cannot build Zephyr 2.1 for ACRN because we get errors related to CTF. We want to get the CTF output over UART but this does not seem to be an option for this version of Zephyr as it seems that POSIX is the only way. We want to try this version because we noticed that whenever we ran Zephyr version 2.2.99 and 2.3 on the board via ACRN we got a 10x slowdown, so a task set to run for 1 tick ran for 10 ticks. This is when running the same settings as we have when we are running Zephyr directly on the board.
Ticks/s = 1000
System clock = 19200000 Hz
We posted about this issue on the ACRN github and they suggested we try running Zephyr 2.1 since that was the only version they have verifed.
We took our ctf_functions and just copied them over from the newer version of Zephyr to the older one as the interface for those looked the same. And we only added the changes we have made and not changed the files in any other way.
The errors we got looked like this:
```
/home/linux/zephyrproject/zephyr/subsys/debug/tracing/ctf/bottoms/posix/ctf_bottom.h:36:17: note: in expansion of macro 'MAP'
36 | u8_t epacket[0 MAP(CTF_BOTTOM_INTERNAL_FIELD_SIZE, ##VA_ARGS)];
```
Which we have no idea what it means or what it want us to change with the implementations.
Here is the link to our issue on the ACRN gituhb: https://github.com/projectacrn/acrn-hypervisor/issues/5008
|
non_process
|
unable to build zephyr for upsquared board running acrn hi we cannot build zephyr for acrn because we get errors related to ctf we want to get the ctf output over uart but this does not seem to be an option for this version of zephyr as it seems that posix is the only way we want to try this version because we noticed that whenever we ran zephyr version and on the board via acrn we got a slowdown so a task set to run for tick ran for ticks this is when running the same settings as we have when we are running zephyr directly on the board ticks s system clock hz we posted about this issue on the acrn github and they suggested we try running zephyr since that was the only version they have verifed we took our ctf functions and just copied them over from the newer version of zephyr to the older one as the interface for those looked the same and we only added the changes we have made and not changed the files in any other way the errors we got looked like this home linux zephyrproject zephyr subsys debug tracing ctf bottoms posix ctf bottom h note in expansion of macro map t epacket which we have no idea what it means or what it want us to change with the implementations here is the link to our issue on the acrn gituhb
| 0
|
17,970
| 23,983,656,891
|
IssuesEvent
|
2022-09-13 17:03:52
|
mdsreq-fga-unb/2022.1-Capita-C
|
https://api.github.com/repos/mdsreq-fga-unb/2022.1-Capita-C
|
closed
|
Processo de Desenvolvimento de Software
|
ProcessoDesenvolvimento MDS Comentários Professor
|
**Descrição da Tarefa**
- [ ] o processo de desenvolvimento está apenas listando um conjunto de atividades: quando serão realizadas? como? por quem?
- [ ] Da mesma forma como abriram uma página para o processo de requisitos, abram para o processo de desenvolvimento.
**Fonte**
(https://mdsreq-fga-unb.github.io/2022.1-Capita-C/ciclos/)
|
1.0
|
Processo de Desenvolvimento de Software - **Descrição da Tarefa**
- [ ] o processo de desenvolvimento está apenas listando um conjunto de atividades: quando serão realizadas? como? por quem?
- [ ] Da mesma forma como abriram uma página para o processo de requisitos, abram para o processo de desenvolvimento.
**Fonte**
(https://mdsreq-fga-unb.github.io/2022.1-Capita-C/ciclos/)
|
process
|
processo de desenvolvimento de software descrição da tarefa o processo de desenvolvimento está apenas listando um conjunto de atividades quando serão realizadas como por quem da mesma forma como abriram uma página para o processo de requisitos abram para o processo de desenvolvimento fonte
| 1
|
15,678
| 19,847,681,508
|
IssuesEvent
|
2022-01-21 08:45:16
|
ooi-data/RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record
|
https://api.github.com/repos/ooi-data/RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record
|
opened
|
🛑 Processing failed: ValueError
|
process
|
## Overview
`ValueError` found in `processing_task` task during run ended on 2022-01-21T08:45:15.730801.
## Details
Flow name: `RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record`
Task name: `processing_task`
Error type: `ValueError`
Error message: cannot reshape array of size 1209600 into shape (2777778,)
<details>
<summary>Traceback</summary>
```
Traceback (most recent call last):
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/pipeline.py", line 165, in processing
final_path = finalize_data_stream(
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 84, in finalize_data_stream
append_to_zarr(mod_ds, final_store, enc, logger=logger)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 357, in append_to_zarr
_append_zarr(store, mod_ds)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/utils.py", line 187, in _append_zarr
existing_arr.append(var_data.values)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2305, in append
return self._write_op(self._append_nosync, data, axis=axis)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2211, in _write_op
return self._synchronized_op(f, *args, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2201, in _synchronized_op
result = f(*args, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2341, in _append_nosync
self[append_selection] = data
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1224, in __setitem__
self.set_basic_selection(selection, value, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1319, in set_basic_selection
return self._set_basic_selection_nd(selection, value, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1610, in _set_basic_selection_nd
self._set_selection(indexer, value, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1682, in _set_selection
self._chunk_setitems(lchunk_coords, lchunk_selection, chunk_values,
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1871, in _chunk_setitems
cdatas = [self._process_for_setitem(key, sel, val, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1871, in <listcomp>
cdatas = [self._process_for_setitem(key, sel, val, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1950, in _process_for_setitem
chunk = self._decode_chunk(cdata)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2003, in _decode_chunk
chunk = chunk.reshape(expected_shape or self._chunks, order=self._order)
ValueError: cannot reshape array of size 1209600 into shape (2777778,)
```
</details>
|
1.0
|
🛑 Processing failed: ValueError - ## Overview
`ValueError` found in `processing_task` task during run ended on 2022-01-21T08:45:15.730801.
## Details
Flow name: `RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record`
Task name: `processing_task`
Error type: `ValueError`
Error message: cannot reshape array of size 1209600 into shape (2777778,)
<details>
<summary>Traceback</summary>
```
Traceback (most recent call last):
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/pipeline.py", line 165, in processing
final_path = finalize_data_stream(
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 84, in finalize_data_stream
append_to_zarr(mod_ds, final_store, enc, logger=logger)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 357, in append_to_zarr
_append_zarr(store, mod_ds)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/utils.py", line 187, in _append_zarr
existing_arr.append(var_data.values)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2305, in append
return self._write_op(self._append_nosync, data, axis=axis)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2211, in _write_op
return self._synchronized_op(f, *args, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2201, in _synchronized_op
result = f(*args, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2341, in _append_nosync
self[append_selection] = data
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1224, in __setitem__
self.set_basic_selection(selection, value, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1319, in set_basic_selection
return self._set_basic_selection_nd(selection, value, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1610, in _set_basic_selection_nd
self._set_selection(indexer, value, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1682, in _set_selection
self._chunk_setitems(lchunk_coords, lchunk_selection, chunk_values,
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1871, in _chunk_setitems
cdatas = [self._process_for_setitem(key, sel, val, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1871, in <listcomp>
cdatas = [self._process_for_setitem(key, sel, val, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1950, in _process_for_setitem
chunk = self._decode_chunk(cdata)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 2003, in _decode_chunk
chunk = chunk.reshape(expected_shape or self._chunks, order=self._order)
ValueError: cannot reshape array of size 1209600 into shape (2777778,)
```
</details>
|
process
|
🛑 processing failed valueerror overview valueerror found in processing task task during run ended on details flow name streamed flort d data record task name processing task error type valueerror error message cannot reshape array of size into shape traceback traceback most recent call last file srv conda envs notebook lib site packages ooi harvester processor pipeline py line in processing final path finalize data stream file srv conda envs notebook lib site packages ooi harvester processor init py line in finalize data stream append to zarr mod ds final store enc logger logger file srv conda envs notebook lib site packages ooi harvester processor init py line in append to zarr append zarr store mod ds file srv conda envs notebook lib site packages ooi harvester processor utils py line in append zarr existing arr append var data values file srv conda envs notebook lib site packages zarr core py line in append return self write op self append nosync data axis axis file srv conda envs notebook lib site packages zarr core py line in write op return self synchronized op f args kwargs file srv conda envs notebook lib site packages zarr core py line in synchronized op result f args kwargs file srv conda envs notebook lib site packages zarr core py line in append nosync self data file srv conda envs notebook lib site packages zarr core py line in setitem self set basic selection selection value fields fields file srv conda envs notebook lib site packages zarr core py line in set basic selection return self set basic selection nd selection value fields fields file srv conda envs notebook lib site packages zarr core py line in set basic selection nd self set selection indexer value fields fields file srv conda envs notebook lib site packages zarr core py line in set selection self chunk setitems lchunk coords lchunk selection chunk values file srv conda envs notebook lib site packages zarr core py line in chunk setitems cdatas self process for setitem key sel val fields fields file srv conda envs notebook lib site packages zarr core py line in cdatas self process for setitem key sel val fields fields file srv conda envs notebook lib site packages zarr core py line in process for setitem chunk self decode chunk cdata file srv conda envs notebook lib site packages zarr core py line in decode chunk chunk chunk reshape expected shape or self chunks order self order valueerror cannot reshape array of size into shape
| 1
|
60,455
| 7,344,523,617
|
IssuesEvent
|
2018-03-07 14:55:20
|
pyscripter/pyscripter
|
https://api.github.com/repos/pyscripter/pyscripter
|
closed
|
[Issue(or I just didn't understand)][Project]Unable to start a new project, unless...
|
as designed
|
This one might be because of shortage of knowlegde in Python's/PyScripters ways to save folder/projectstructure's, but... I am unable to open a new project. No error messages, no warnings. Nothing.
That is; unless you uncheck Relative Paths (right click on Untitled project). Is this normal or might this be a bug?
If not; feel free to delete :)
Tested on PySc 3.2.2.0 x86
|
1.0
|
[Issue(or I just didn't understand)][Project]Unable to start a new project, unless... - This one might be because of shortage of knowlegde in Python's/PyScripters ways to save folder/projectstructure's, but... I am unable to open a new project. No error messages, no warnings. Nothing.
That is; unless you uncheck Relative Paths (right click on Untitled project). Is this normal or might this be a bug?
If not; feel free to delete :)
Tested on PySc 3.2.2.0 x86
|
non_process
|
unable to start a new project unless this one might be because of shortage of knowlegde in python s pyscripters ways to save folder projectstructure s but i am unable to open a new project no error messages no warnings nothing that is unless you uncheck relative paths right click on untitled project is this normal or might this be a bug if not feel free to delete tested on pysc
| 0
|
7,626
| 10,729,712,821
|
IssuesEvent
|
2019-10-28 16:03:44
|
usgs/libcomcat
|
https://api.github.com/repos/usgs/libcomcat
|
closed
|
Add sync between GitHub and GitLab
|
process
|
**Is your process request related to testing, documentation, or general code management? Please describe.**
Code management
**Describe the solution you'd like**
Code should be synced to GitLab.
**Describe alternatives you've considered**
NA
**Additional context**
This could be done along with testing or nightly builds?
|
1.0
|
Add sync between GitHub and GitLab - **Is your process request related to testing, documentation, or general code management? Please describe.**
Code management
**Describe the solution you'd like**
Code should be synced to GitLab.
**Describe alternatives you've considered**
NA
**Additional context**
This could be done along with testing or nightly builds?
|
process
|
add sync between github and gitlab is your process request related to testing documentation or general code management please describe code management describe the solution you d like code should be synced to gitlab describe alternatives you ve considered na additional context this could be done along with testing or nightly builds
| 1
|
19,782
| 26,162,842,841
|
IssuesEvent
|
2022-12-31 21:19:33
|
allinurl/goaccess
|
https://api.github.com/repos/allinurl/goaccess
|
closed
|
Help with parsing and interpreting these user agents
|
question log-processing
|
Hello
I am looking for help with parsing these user agents found in my access logs.
Mozilla/5.0 (Linux; Android 11; BE2025 Build/RKQ1.201217.002; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/96.0.4664.45 Mobile Safari/537.36 MinuteMaid,gzip(gfe)
GoogleAuth/1.4 (OnePlusN10METRO RKQ1.201217.002); gzip,gzip(gfe),gzip(gfe)
Mozilla/5.0 (Linux; Android 10; SM-A115U Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/94.0.4606.71 Mobile Safari/537.36 MinuteMaid,gzip(gfe)
I have tried parse them on different platforms but I seem to get different results each time.
What I am trying to figure out is the type of devices of webview platforms are used with these UAs
Thank You all so much!
|
1.0
|
Help with parsing and interpreting these user agents - Hello
I am looking for help with parsing these user agents found in my access logs.
Mozilla/5.0 (Linux; Android 11; BE2025 Build/RKQ1.201217.002; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/96.0.4664.45 Mobile Safari/537.36 MinuteMaid,gzip(gfe)
GoogleAuth/1.4 (OnePlusN10METRO RKQ1.201217.002); gzip,gzip(gfe),gzip(gfe)
Mozilla/5.0 (Linux; Android 10; SM-A115U Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/94.0.4606.71 Mobile Safari/537.36 MinuteMaid,gzip(gfe)
I have tried parse them on different platforms but I seem to get different results each time.
What I am trying to figure out is the type of devices of webview platforms are used with these UAs
Thank You all so much!
|
process
|
help with parsing and interpreting these user agents hello i am looking for help with parsing these user agents found in my access logs mozilla linux android build wv applewebkit khtml like gecko version chrome mobile safari minutemaid gzip gfe googleauth gzip gzip gfe gzip gfe mozilla linux android sm build wv applewebkit khtml like gecko version chrome mobile safari minutemaid gzip gfe i have tried parse them on different platforms but i seem to get different results each time what i am trying to figure out is the type of devices of webview platforms are used with these uas thank you all so much
| 1
|
10,566
| 13,359,203,768
|
IssuesEvent
|
2020-08-31 13:00:39
|
pystatgen/sgkit
|
https://api.github.com/repos/pystatgen/sgkit
|
closed
|
Change minimum Python version to 3.7
|
good first issue process + tools
|
In setup.cfg we say Python 3.6 is supported, but 3.7 is really the minimum since we're using dataclasses (as discussed in #59). Update the minimum version to 3.7.
We could use the version of dataclasses from pypi, alternatively, and support 3.6, but since this is a new project going with 3.7 as a minimum seems reasonable (especially since sgkit-plink will only support 3.7+).
I'd imagine we could include 3.8 also, but I guess we should test this in CI.
|
1.0
|
Change minimum Python version to 3.7 - In setup.cfg we say Python 3.6 is supported, but 3.7 is really the minimum since we're using dataclasses (as discussed in #59). Update the minimum version to 3.7.
We could use the version of dataclasses from pypi, alternatively, and support 3.6, but since this is a new project going with 3.7 as a minimum seems reasonable (especially since sgkit-plink will only support 3.7+).
I'd imagine we could include 3.8 also, but I guess we should test this in CI.
|
process
|
change minimum python version to in setup cfg we say python is supported but is really the minimum since we re using dataclasses as discussed in update the minimum version to we could use the version of dataclasses from pypi alternatively and support but since this is a new project going with as a minimum seems reasonable especially since sgkit plink will only support i d imagine we could include also but i guess we should test this in ci
| 1
|
3,945
| 2,610,084,519
|
IssuesEvent
|
2015-02-26 18:25:45
|
chrsmith/dsdsdaadf
|
https://api.github.com/repos/chrsmith/dsdsdaadf
|
opened
|
深圳彩光怎么祛除痤疮
|
auto-migrated Priority-Medium Type-Defect
|
```
深圳彩光怎么祛除痤疮【深圳韩方科颜全国热线400-869-1818，24
小时QQ4008691818】深圳韩方科颜专业祛痘连锁机构，机构以韩��
�秘方——韩方科颜这一国妆准字号治疗型权威，祛痘佳品，�
��方科颜专业祛痘连锁机构，采用韩国秘方配合专业“不反弹
”健康祛痘技术并结合先进“先进豪华彩光”仪，开创国内��
�业治疗粉刺、痤疮签约包治先河，成功消除了许多顾客脸上�
��痘痘。
```
-----
Original issue reported on code.google.com by `szft...@163.com` on 14 May 2014 at 6:58
|
1.0
|
深圳彩光怎么祛除痤疮 - ```
深圳彩光怎么祛除痤疮【深圳韩方科颜全国热线400-869-1818，24
小时QQ4008691818】深圳韩方科颜专业祛痘连锁机构，机构以韩��
�秘方——韩方科颜这一国妆准字号治疗型权威，祛痘佳品，�
��方科颜专业祛痘连锁机构，采用韩国秘方配合专业“不反弹
”健康祛痘技术并结合先进“先进豪华彩光”仪，开创国内��
�业治疗粉刺、痤疮签约包治先河，成功消除了许多顾客脸上�
��痘痘。
```
-----
Original issue reported on code.google.com by `szft...@163.com` on 14 May 2014 at 6:58
|
non_process
|
深圳彩光怎么祛除痤疮 深圳彩光怎么祛除痤疮【 ， 】深圳韩方科颜专业祛痘连锁机构，机构以韩�� �秘方——韩方科颜这一国妆准字号治疗型权威，祛痘佳品，� ��方科颜专业祛痘连锁机构，采用韩国秘方配合专业“不反弹 ”健康祛痘技术并结合先进“先进豪华彩光”仪，开创国内�� �业治疗粉刺、痤疮签约包治先河，成功消除了许多顾客脸上� ��痘痘。 original issue reported on code google com by szft com on may at
| 0
|
21,131
| 28,102,758,013
|
IssuesEvent
|
2023-03-30 20:55:12
|
cse442-at-ub/project_s23-the-fellas
|
https://api.github.com/repos/cse442-at-ub/project_s23-the-fellas
|
opened
|
Salt and hash passwords for storage in user_accounts database table
|
Processing Task Sprint 3
|
**Task Tests**
*Test 1*
1) Log in to [phpmyadmin](https://www-student.cse.buffalo.edu/tools/db/phpmyadmin)
2) Open the user_accounts table
3) Verify that no passwords appear as "test"
|
1.0
|
Salt and hash passwords for storage in user_accounts database table - **Task Tests**
*Test 1*
1) Log in to [phpmyadmin](https://www-student.cse.buffalo.edu/tools/db/phpmyadmin)
2) Open the user_accounts table
3) Verify that no passwords appear as "test"
|
process
|
salt and hash passwords for storage in user accounts database table task tests test log in to open the user accounts table verify that no passwords appear as test
| 1
|
18,468
| 24,550,159,373
|
IssuesEvent
|
2022-10-12 11:59:28
|
GoogleCloudPlatform/fda-mystudies
|
https://api.github.com/repos/GoogleCloudPlatform/fda-mystudies
|
closed
|
[PM] Password eye icon in sign in screen is non-functional
|
Bug P1 Participant manager Process: Fixed Process: Tested QA Process: Tested dev
|
Password eye icon in sign in screen is non-functional
|
3.0
|
[PM] Password eye icon in sign in screen is non-functional - Password eye icon in sign in screen is non-functional
|
process
|
password eye icon in sign in screen is non functional password eye icon in sign in screen is non functional
| 1
|
6,761
| 9,885,763,978
|
IssuesEvent
|
2019-06-25 03:58:36
|
Mythos-Softworks/Arbeiterbiene
|
https://api.github.com/repos/Mythos-Softworks/Arbeiterbiene
|
opened
|
Responses to messages should be returned by the command
|
P3 process
|
Currently, commands are invoked and forgotten; they send the message themselves. It'd be a nicer flow to have them return their intended message to the invoking manager, I think.
|
1.0
|
Responses to messages should be returned by the command - Currently, commands are invoked and forgotten; they send the message themselves. It'd be a nicer flow to have them return their intended message to the invoking manager, I think.
|
process
|
responses to messages should be returned by the command currently commands are invoked and forgotten they send the message themselves it d be a nicer flow to have them return their intended message to the invoking manager i think
| 1
|
131
| 2,571,127,199
|
IssuesEvent
|
2015-02-10 14:48:52
|
tinkerpop/tinkerpop3
|
https://api.github.com/repos/tinkerpop/tinkerpop3
|
closed
|
Provide support for has() ANDing and ORing.
|
enhancement process
|
By TP3 GA we should have support for ANDing and ORing on has() steps (and ultimately, via propagation to XXXGraphStep, support for complex index lookups).
Currently we can do this:
```groovy
g.V.has('name','marko').has('age',T.lt,34) // chaining ANDs
g.V.has('name', Contains.IN, ['marko','daniel']) // ORing on a single property
```
We need to support arbitrary ANDing and ORing. Is the following proposal sufficient?
```groovy
g.V.has('name','marko',T.or,'age',T.lt,34) // name = marko || age < 34
g.V.has('name','marko').has('age',T.lt,34,T.or,'weight',T.lt,150) // name = marko && (age < 34 || weight < 150)
```
In the above model, `has(Object...)` which is not good from an API standpoint and the parsing would be lots of `if(object[i] instanceof BiPredicate)`, `if(object[i] instanceof Or)` to generate the HasContainers. The HasContainers would then need to be represented in a nested list to expose the clauses.
However, is the above proposal sufficient? What about `(name = marko && age < 34) || (name = daniel && weight < 150)`, where chaining is an OR, not an AND.
```groovy
g.V.has('name','marko',T.and,'age',T.lt,34).orHas('name','daniel',T.and,'weight',T.lt,150)
```
In this model, each `has()` is a clause. and you can either `andHas()` or `orHas()` clauses together, where `andHas()` can simply call `has()`, but is provided so chaining predicate is obvious.
How would you interpret the following expression?
```groovy
g.V.has('label','person')
.andHas('name','marko',T.and,'age',T.lt,34)
.orHas('name','daniel',T.and,'weight',T.lt,150).blah()
==>
(label = person) AND ((name = marko AND age < 34) OR (name = daniel AND weight < 150))
```
The problem here is then can Daniel not be a person? To which I would say "no". The first `has()` checks if the element is a person. The next checks if the element is `name=marko AND age < 34`. If the `andHas()` is true, the traverser jumps to `blah()` else it goes through `orHas()` which is simply a predicate check like any old `has()`. The "jump" is what simulates the 'or'.
If you don't care if Daniel is a "person" then you do:
```groovy
g.V.has(Element.LABEL,'person',T.and,'name','marko',T.and,'age',T.lt,34)
.orHas(T.and,'name','daniel',T.and,'weight',T.lt,150)
==>
(label = person AND name = marko AND age < 34) OR (name = daniel AND weight < 150)
```
How do you do more complex nestings?
```groovy
g.V.has('name','marko').orHas('name','daniel').andHas('age',T.lt,34).orHas('weight',T.lt,150).blah()
==>
g.V.has('name','marko').orHas('name','daniel').andHas('age',T.lt,34,T.or,'weight',T.lt,150).blah()
==>
name = marko OR (name = daniel AND (age < 34 OR weight < 150))
```
. Is the name marko? If so, you are done and jump to `blah()`.
. Is the name daniel? If so, continue, else kill traverser.
. Is the age of daniel < 34? If so, jump to `blah()`.
. Is the weight of daniel < 150? If so, continue, else kill the traverser.
In essence, each `orHas()` and `andHas()` generates a new clause. However, I don't believe this is fully generic.
I'm not happy with any of this right now so other proposals are greatly appreciated.
@dkuppitz @mbroecheler @rjbriody @pietermartin @spmallette @joshsh
|
1.0
|
Provide support for has() ANDing and ORing. - By TP3 GA we should have support for ANDing and ORing on has() steps (and ultimately, via propagation to XXXGraphStep, support for complex index lookups).
Currently we can do this:
```groovy
g.V.has('name','marko').has('age',T.lt,34) // chaining ANDs
g.V.has('name', Contains.IN, ['marko','daniel']) // ORing on a single property
```
We need to support arbitrary ANDing and ORing. Is the following proposal sufficient?
```groovy
g.V.has('name','marko',T.or,'age',T.lt,34) // name = marko || age < 34
g.V.has('name','marko').has('age',T.lt,34,T.or,'weight',T.lt,150) // name = marko && (age < 34 || weight < 150)
```
In the above model, `has(Object...)` which is not good from an API standpoint and the parsing would be lots of `if(object[i] instanceof BiPredicate)`, `if(object[i] instanceof Or)` to generate the HasContainers. The HasContainers would then need to be represented in a nested list to expose the clauses.
However, is the above proposal sufficient? What about `(name = marko && age < 34) || (name = daniel && weight < 150)`, where chaining is an OR, not an AND.
```groovy
g.V.has('name','marko',T.and,'age',T.lt,34).orHas('name','daniel',T.and,'weight',T.lt,150)
```
In this model, each `has()` is a clause. and you can either `andHas()` or `orHas()` clauses together, where `andHas()` can simply call `has()`, but is provided so chaining predicate is obvious.
How would you interpret the following expression?
```groovy
g.V.has('label','person')
.andHas('name','marko',T.and,'age',T.lt,34)
.orHas('name','daniel',T.and,'weight',T.lt,150).blah()
==>
(label = person) AND ((name = marko AND age < 34) OR (name = daniel AND weight < 150))
```
The problem here is then can Daniel not be a person? To which I would say "no". The first `has()` checks if the element is a person. The next checks if the element is `name=marko AND age < 34`. If the `andHas()` is true, the traverser jumps to `blah()` else it goes through `orHas()` which is simply a predicate check like any old `has()`. The "jump" is what simulates the 'or'.
If you don't care if Daniel is a "person" then you do:
```groovy
g.V.has(Element.LABEL,'person',T.and,'name','marko',T.and,'age',T.lt,34)
.orHas(T.and,'name','daniel',T.and,'weight',T.lt,150)
==>
(label = person AND name = marko AND age < 34) OR (name = daniel AND weight < 150)
```
How do you do more complex nestings?
```groovy
g.V.has('name','marko').orHas('name','daniel').andHas('age',T.lt,34).orHas('weight',T.lt,150).blah()
==>
g.V.has('name','marko').orHas('name','daniel').andHas('age',T.lt,34,T.or,'weight',T.lt,150).blah()
==>
name = marko OR (name = daniel AND (age < 34 OR weight < 150))
```
. Is the name marko? If so, you are done and jump to `blah()`.
. Is the name daniel? If so, continue, else kill traverser.
. Is the age of daniel < 34? If so, jump to `blah()`.
. Is the weight of daniel < 150? If so, continue, else kill the traverser.
In essence, each `orHas()` and `andHas()` generates a new clause. However, I don't believe this is fully generic.
I'm not happy with any of this right now so other proposals are greatly appreciated.
@dkuppitz @mbroecheler @rjbriody @pietermartin @spmallette @joshsh
|
process
|
provide support for has anding and oring by ga we should have support for anding and oring on has steps and ultimately via propagation to xxxgraphstep support for complex index lookups currently we can do this groovy g v has name marko has age t lt chaining ands g v has name contains in oring on a single property we need to support arbitrary anding and oring is the following proposal sufficient groovy g v has name marko t or age t lt name marko age g v has name marko has age t lt t or weight t lt name marko age weight in the above model has object which is not good from an api standpoint and the parsing would be lots of if object instanceof bipredicate if object instanceof or to generate the hascontainers the hascontainers would then need to be represented in a nested list to expose the clauses however is the above proposal sufficient what about name marko age name daniel weight where chaining is an or not an and groovy g v has name marko t and age t lt orhas name daniel t and weight t lt in this model each has is a clause and you can either andhas or orhas clauses together where andhas can simply call has but is provided so chaining predicate is obvious how would you interpret the following expression groovy g v has label person andhas name marko t and age t lt orhas name daniel t and weight t lt blah label person and name marko and age or name daniel and weight the problem here is then can daniel not be a person to which i would say no the first has checks if the element is a person the next checks if the element is name marko and age if the andhas is true the traverser jumps to blah else it goes through orhas which is simply a predicate check like any old has the jump is what simulates the or if you don t care if daniel is a person then you do groovy g v has element label person t and name marko t and age t lt orhas t and name daniel t and weight t lt label person and name marko and age or name daniel and weight how do you do more complex nestings groovy g v has name marko orhas name daniel andhas age t lt orhas weight t lt blah g v has name marko orhas name daniel andhas age t lt t or weight t lt blah name marko or name daniel and age or weight is the name marko if so you are done and jump to blah is the name daniel if so continue else kill traverser is the age of daniel if so jump to blah is the weight of daniel if so continue else kill the traverser in essence each orhas and andhas generates a new clause however i don t believe this is fully generic i m not happy with any of this right now so other proposals are greatly appreciated dkuppitz mbroecheler rjbriody pietermartin spmallette joshsh
| 1
|
3,026
| 6,028,866,717
|
IssuesEvent
|
2017-06-08 16:39:21
|
glos/myglos
|
https://api.github.com/repos/glos/myglos
|
closed
|
Missing *_20170608.nc files?
|
Data Integration high priority process
|
As noted to dmac@glos.us, the Buoy Portal is showing many out-of-date stations. Checking, I saw that (e.g.) there is no 45023_20170608.nc file for today's observations, though the Data Portal shows 8 AM observations. I did do a quick check - there is still disk space on the thredds server and the NAS. @kknee , I'm thinking this is for @cheryldmorse to check into?
|
1.0
|
Missing *_20170608.nc files? - As noted to dmac@glos.us, the Buoy Portal is showing many out-of-date stations. Checking, I saw that (e.g.) there is no 45023_20170608.nc file for today's observations, though the Data Portal shows 8 AM observations. I did do a quick check - there is still disk space on the thredds server and the NAS. @kknee , I'm thinking this is for @cheryldmorse to check into?
|
process
|
missing nc files as noted to dmac glos us the buoy portal is showing many out of date stations checking i saw that e g there is no nc file for today s observations though the data portal shows am observations i did do a quick check there is still disk space on the thredds server and the nas kknee i m thinking this is for cheryldmorse to check into
| 1
|
735,343
| 25,390,319,403
|
IssuesEvent
|
2022-11-22 03:03:10
|
o3de/o3de
|
https://api.github.com/repos/o3de/o3de
|
closed
|
IMGUI Unusable: Mouse Doesn't Work
|
kind/bug sig/core sig/graphics-audio priority/critical
|
**Describe the bug**
The mouse cannot select IMGUI menu items
**Steps to reproduce**
Steps to reproduce the behavior:
1. Open a game or serve launcer
2. Press HOME key to open IMGUI
3. Try to select an IMGUI option
**Expected behavior**
I should be able to open the IMGUI menus and select buttons and such
**Actual behavior**
IMGUI is unusable. The mouse is stuck on the top left of the screen and I cannot select IMGUI menu items
**Screenshots/Video**
**Notice my Windows mouse is moving around, but the app mouse is stuck in upper-left-hand corner**
https://user-images.githubusercontent.com/32776221/199294797-4ec62a89-f702-47a4-b0e8-cd286ef44c62.mp4
**Found in Branch**
Development Friday October 28 2022
**Desktop/Device (please complete the following information):**
Windows
|
1.0
|
IMGUI Unusable: Mouse Doesn't Work - **Describe the bug**
The mouse cannot select IMGUI menu items
**Steps to reproduce**
Steps to reproduce the behavior:
1. Open a game or serve launcer
2. Press HOME key to open IMGUI
3. Try to select an IMGUI option
**Expected behavior**
I should be able to open the IMGUI menus and select buttons and such
**Actual behavior**
IMGUI is unusable. The mouse is stuck on the top left of the screen and I cannot select IMGUI menu items
**Screenshots/Video**
**Notice my Windows mouse is moving around, but the app mouse is stuck in upper-left-hand corner**
https://user-images.githubusercontent.com/32776221/199294797-4ec62a89-f702-47a4-b0e8-cd286ef44c62.mp4
**Found in Branch**
Development Friday October 28 2022
**Desktop/Device (please complete the following information):**
Windows
|
non_process
|
imgui unusable mouse doesn t work describe the bug the mouse cannot select imgui menu items steps to reproduce steps to reproduce the behavior open a game or serve launcer press home key to open imgui try to select an imgui option expected behavior i should be able to open the imgui menus and select buttons and such actual behavior imgui is unusable the mouse is stuck on the top left of the screen and i cannot select imgui menu items screenshots video notice my windows mouse is moving around but the app mouse is stuck in upper left hand corner found in branch development friday october desktop device please complete the following information windows
| 0
|
302,246
| 9,256,374,410
|
IssuesEvent
|
2019-03-16 18:30:24
|
FTBTeam/FTB-Presents-Direwolf20-1.12
|
https://api.github.com/repos/FTBTeam/FTB-Presents-Direwolf20-1.12
|
closed
|
World randomly freezes
|
Category: Mods :memo: Category: User :busts_in_silhouette: Cause: Mod :page_facing_up: Priority: Medium :warning: Status: Dormant 🕓
|
* **Modpack Version**: 2.2.0
* **Issue**: Randomly my world just freezes and i cant open anything or interact with anything, i can still move around the world though. When looking at blocks the "waila" says waiting for server. I have left it for 10-15 min and nothing changes
* **Link to Log or Crash File Paste**: [https://paste.feed-the-beast.com/view/c82ad24a](url)
* **Is it Repeatable?**: It happens after a opening and closing inventories but its different ones every time and random in when it decides to "crash"
* **Mod/s Affected**: none
* **Known Fix**: saving and quiting and then using task manager to stop the prosses
|
1.0
|
World randomly freezes - * **Modpack Version**: 2.2.0
* **Issue**: Randomly my world just freezes and i cant open anything or interact with anything, i can still move around the world though. When looking at blocks the "waila" says waiting for server. I have left it for 10-15 min and nothing changes
* **Link to Log or Crash File Paste**: [https://paste.feed-the-beast.com/view/c82ad24a](url)
* **Is it Repeatable?**: It happens after a opening and closing inventories but its different ones every time and random in when it decides to "crash"
* **Mod/s Affected**: none
* **Known Fix**: saving and quiting and then using task manager to stop the prosses
|
non_process
|
world randomly freezes modpack version issue randomly my world just freezes and i cant open anything or interact with anything i can still move around the world though when looking at blocks the waila says waiting for server i have left it for min and nothing changes link to log or crash file paste url is it repeatable it happens after a opening and closing inventories but its different ones every time and random in when it decides to crash mod s affected none known fix saving and quiting and then using task manager to stop the prosses
| 0
|
8,312
| 11,473,627,335
|
IssuesEvent
|
2020-02-10 00:21:05
|
bisq-network/bisq
|
https://api.github.com/repos/bisq-network/bisq
|
closed
|
Waiting for Seller's payment confirmation
|
a:discussion in:gui in:trade-process was:dropped
|
I am a bit puzzled as to the idea behind the screenshot shown below. It suggests a manual confirmation by the seller in for the trade to complete when it can be automatically confirmed by associating the payment transaction with the trade (for instance after 9 confirmations, payment should be automatically confirmed without any inputs from the receiver).
I am curious as to the choice behind this manual process. Is it a carryover from an old design?
|
1.0
|
Waiting for Seller's payment confirmation - I am a bit puzzled as to the idea behind the screenshot shown below. It suggests a manual confirmation by the seller in for the trade to complete when it can be automatically confirmed by associating the payment transaction with the trade (for instance after 9 confirmations, payment should be automatically confirmed without any inputs from the receiver).
I am curious as to the choice behind this manual process. Is it a carryover from an old design?
|
process
|
waiting for seller s payment confirmation i am a bit puzzled as to the idea behind the screenshot shown below it suggests a manual confirmation by the seller in for the trade to complete when it can be automatically confirmed by associating the payment transaction with the trade for instance after confirmations payment should be automatically confirmed without any inputs from the receiver i am curious as to the choice behind this manual process is it a carryover from an old design
| 1
|
19,942
| 26,412,945,862
|
IssuesEvent
|
2023-01-13 13:47:15
|
kitzeslab/opensoundscape
|
https://api.github.com/repos/kitzeslab/opensoundscape
|
closed
|
add simple audio scaling random augmentation Action
|
resolved_in_develop module:preprocessing
|
like this
```
import random
def random_scale_audio(audio,scale_factors):
factor = random.choice(scale_factors)
return Audio(audio.samples*factor,audio.sample_rate,metadata=audio.metadata)
distance_action = Action(random_scale_audio,is_augmentation=True,scale_factors=[1/(2**n) for n in range(7)])
```
|
1.0
|
add simple audio scaling random augmentation Action - like this
```
import random
def random_scale_audio(audio,scale_factors):
factor = random.choice(scale_factors)
return Audio(audio.samples*factor,audio.sample_rate,metadata=audio.metadata)
distance_action = Action(random_scale_audio,is_augmentation=True,scale_factors=[1/(2**n) for n in range(7)])
```
|
process
|
add simple audio scaling random augmentation action like this import random def random scale audio audio scale factors factor random choice scale factors return audio audio samples factor audio sample rate metadata audio metadata distance action action random scale audio is augmentation true scale factors
| 1
|
829,002
| 31,850,596,080
|
IssuesEvent
|
2023-09-15 01:05:48
|
inaturalist/iNaturalistAndroid
|
https://api.github.com/repos/inaturalist/iNaturalistAndroid
|
closed
|
Change 'Seen Nearby' to 'Expected Nearby'
|
High Priority
|
ideally make this change by Sept 23
<img width="331" alt="Screenshot 2023-09-12 at 3 25 44 PM" src="https://github.com/inaturalist/iNaturalistAndroid/assets/598026/99d96a4c-2b59-4e1a-897a-cb585624a5d2">
|
1.0
|
Change 'Seen Nearby' to 'Expected Nearby' - ideally make this change by Sept 23
<img width="331" alt="Screenshot 2023-09-12 at 3 25 44 PM" src="https://github.com/inaturalist/iNaturalistAndroid/assets/598026/99d96a4c-2b59-4e1a-897a-cb585624a5d2">
|
non_process
|
change seen nearby to expected nearby ideally make this change by sept img width alt screenshot at pm src
| 0
|
25,977
| 4,187,319,558
|
IssuesEvent
|
2016-06-23 17:05:51
|
sakaiproject/sakai
|
https://api.github.com/repos/sakaiproject/sakai
|
closed
|
Percentage Mode - "Set Score for Empty Cells" still displays as points
|
enhancement GradebookNG ready to test
|
When you have the GB set to percentages and try to "Set Score for Empty Cells," the appearance of the lightbox still makes it seem like it's based off of points (even though it does function correctly):
To accommodate percentage mode, it should show a "%" instead of a " / [x]"
|
1.0
|
Percentage Mode - "Set Score for Empty Cells" still displays as points - When you have the GB set to percentages and try to "Set Score for Empty Cells," the appearance of the lightbox still makes it seem like it's based off of points (even though it does function correctly):
To accommodate percentage mode, it should show a "%" instead of a " / [x]"
|
non_process
|
percentage mode set score for empty cells still displays as points when you have the gb set to percentages and try to set score for empty cells the appearance of the lightbox still makes it seem like it s based off of points even though it does function correctly to accommodate percentage mode it should show a instead of a
| 0
|
13,194
| 15,614,817,402
|
IssuesEvent
|
2021-03-19 18:19:05
|
ai4er-cdt/gtc-biodiversity
|
https://api.github.com/repos/ai4er-cdt/gtc-biodiversity
|
closed
|
Create habitat / landcover classification from original satellite data
|
concerns: preprocessing kind: feature
|
This will be useful for our backup (e.g. the Chernobyl / Fukushima idea) and will also be useful if we wanted to use other land cover classes/habitat classes than what the land cover datasets give us.
|
1.0
|
Create habitat / landcover classification from original satellite data - This will be useful for our backup (e.g. the Chernobyl / Fukushima idea) and will also be useful if we wanted to use other land cover classes/habitat classes than what the land cover datasets give us.
|
process
|
create habitat landcover classification from original satellite data this will be useful for our backup e g the chernobyl fukushima idea and will also be useful if we wanted to use other land cover classes habitat classes than what the land cover datasets give us
| 1
|
15,567
| 19,703,504,517
|
IssuesEvent
|
2022-01-12 19:08:04
|
googleapis/java-translate
|
https://api.github.com/repos/googleapis/java-translate
|
opened
|
Your .repo-metadata.json file has a problem 🤒
|
type: process repo-metadata: lint
|
You have a problem with your .repo-metadata.json file:
Result of scan 📈:
* release_level must be equal to one of the allowed values in .repo-metadata.json
* api_shortname 'translation' invalid in .repo-metadata.json
☝️ Once you correct these problems, you can close this issue.
Reach out to **go/github-automation** if you have any questions.
|
1.0
|
Your .repo-metadata.json file has a problem 🤒 - You have a problem with your .repo-metadata.json file:
Result of scan 📈:
* release_level must be equal to one of the allowed values in .repo-metadata.json
* api_shortname 'translation' invalid in .repo-metadata.json
☝️ Once you correct these problems, you can close this issue.
Reach out to **go/github-automation** if you have any questions.
|
process
|
your repo metadata json file has a problem 🤒 you have a problem with your repo metadata json file result of scan 📈 release level must be equal to one of the allowed values in repo metadata json api shortname translation invalid in repo metadata json ☝️ once you correct these problems you can close this issue reach out to go github automation if you have any questions
| 1
|
18,987
| 24,978,260,873
|
IssuesEvent
|
2022-11-02 09:39:32
|
bazelbuild/bazel
|
https://api.github.com/repos/bazelbuild/bazel
|
closed
|
Create static lib (.a) failure
|
type: support / not a bug (process) untriaged team-OSS
|
### Description of the bug:
run command `bazel build //:mylib`, 'libmylib.a' not found, it seems ilke 'alwayslink = 1' in 'BUILD" file not worked ???
the 'BUILD' file:
```
cc_library(
name = "mylib",
linkstatic = True,
deps = [
"//:depend1",
"//:depend2",
],
alwayslink = 1,
)
cc_library(
name = "depend2",
srcs = ["depend2.cc"],
hdrs = ["depend2.h"],
deps = [
"//:depend1",
],
alwayslink = 1,
)
cc_library(
name = "depend1",
srcs = ["depend1.cc"],
hdrs = ["depend1.h"],
alwayslink = 1,
)
```
### What's the simplest, easiest way to reproduce this bug? Please provide a minimal example if possible.
https://github.com/ywsswy/test_static_lib
### Which operating system are you running Bazel on?
Linux
### What is the output of `bazel info release`?
release 3.7.2
### If `bazel info release` returns `development version` or `(@non-git)`, tell us how you built Bazel.
_No response_
### What's the output of `git remote get-url origin; git rev-parse master; git rev-parse HEAD` ?
```text
git@github.com:ywsswy/test_static_lib.git
25f645f3538146ed326b582a7ea8007f9b92d7d2
25f645f3538146ed326b582a7ea8007f9b92d7d2
```
### Have you found anything relevant by searching the web?
_No response_
### Any other information, logs, or outputs that you want to share?
_No response_
|
1.0
|
Create static lib (.a) failure - ### Description of the bug:
run command `bazel build //:mylib`, 'libmylib.a' not found, it seems ilke 'alwayslink = 1' in 'BUILD" file not worked ???
the 'BUILD' file:
```
cc_library(
name = "mylib",
linkstatic = True,
deps = [
"//:depend1",
"//:depend2",
],
alwayslink = 1,
)
cc_library(
name = "depend2",
srcs = ["depend2.cc"],
hdrs = ["depend2.h"],
deps = [
"//:depend1",
],
alwayslink = 1,
)
cc_library(
name = "depend1",
srcs = ["depend1.cc"],
hdrs = ["depend1.h"],
alwayslink = 1,
)
```
### What's the simplest, easiest way to reproduce this bug? Please provide a minimal example if possible.
https://github.com/ywsswy/test_static_lib
### Which operating system are you running Bazel on?
Linux
### What is the output of `bazel info release`?
release 3.7.2
### If `bazel info release` returns `development version` or `(@non-git)`, tell us how you built Bazel.
_No response_
### What's the output of `git remote get-url origin; git rev-parse master; git rev-parse HEAD` ?
```text
git@github.com:ywsswy/test_static_lib.git
25f645f3538146ed326b582a7ea8007f9b92d7d2
25f645f3538146ed326b582a7ea8007f9b92d7d2
```
### Have you found anything relevant by searching the web?
_No response_
### Any other information, logs, or outputs that you want to share?
_No response_
|
process
|
create static lib a failure description of the bug run command bazel build mylib libmylib a not found it seems ilke alwayslink in build file not worked the build file cc library name mylib linkstatic true deps alwayslink cc library name srcs hdrs deps alwayslink cc library name srcs hdrs alwayslink what s the simplest easiest way to reproduce this bug please provide a minimal example if possible which operating system are you running bazel on linux what is the output of bazel info release release if bazel info release returns development version or non git tell us how you built bazel no response what s the output of git remote get url origin git rev parse master git rev parse head text git github com ywsswy test static lib git have you found anything relevant by searching the web no response any other information logs or outputs that you want to share no response
| 1
|
211,469
| 23,831,673,439
|
IssuesEvent
|
2022-09-05 22:01:27
|
billmcchesney1/flowgate
|
https://api.github.com/repos/billmcchesney1/flowgate
|
opened
|
CVE-2022-38752 (Medium) detected in snakeyaml-1.17.jar, snakeyaml-1.25.jar
|
security vulnerability
|
## CVE-2022-38752 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>snakeyaml-1.17.jar</b>, <b>snakeyaml-1.25.jar</b></p></summary>
<p>
<details><summary><b>snakeyaml-1.17.jar</b></p></summary>
<p>YAML 1.1 parser and emitter for Java</p>
<p>Library home page: <a href="http://www.snakeyaml.org">http://www.snakeyaml.org</a></p>
<p>Path to dependency file: /operation-expert/pom.xml</p>
<p>Path to vulnerable library: /home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.17/snakeyaml-1.17.jar</p>
<p>
Dependency Hierarchy:
- spring-boot-starter-data-mongodb-1.4.7.RELEASE.jar (Root Library)
- spring-boot-starter-1.4.7.RELEASE.jar
- :x: **snakeyaml-1.17.jar** (Vulnerable Library)
</details>
<details><summary><b>snakeyaml-1.25.jar</b></p></summary>
<p>YAML 1.1 parser and emitter for Java</p>
<p>Library home page: <a href="http://www.snakeyaml.org">http://www.snakeyaml.org</a></p>
<p>Path to dependency file: /labsdb-worker/pom.xml</p>
<p>Path to vulnerable library: /home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar</p>
<p>
Dependency Hierarchy:
- spring-boot-starter-mail-2.2.7.RELEASE.jar (Root Library)
- spring-boot-starter-2.2.7.RELEASE.jar
- :x: **snakeyaml-1.25.jar** (Vulnerable Library)
</details>
<p>Found in HEAD commit: <a href="https://github.com/billmcchesney1/flowgate/commit/dd01a1d4381c7a3b94ba25748c015a094c33088e">dd01a1d4381c7a3b94ba25748c015a094c33088e</a></p>
<p>Found in base branch: <b>master</b></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
Using snakeYAML to parse untrusted YAML files may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by stack-overflow.
<p>Publish Date: 2022-09-05
<p>URL: <a href=https://vuln.whitesourcesoftware.com/vulnerability/CVE-2022-38752>CVE-2022-38752</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>6.5</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
|
True
|
CVE-2022-38752 (Medium) detected in snakeyaml-1.17.jar, snakeyaml-1.25.jar - ## CVE-2022-38752 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>snakeyaml-1.17.jar</b>, <b>snakeyaml-1.25.jar</b></p></summary>
<p>
<details><summary><b>snakeyaml-1.17.jar</b></p></summary>
<p>YAML 1.1 parser and emitter for Java</p>
<p>Library home page: <a href="http://www.snakeyaml.org">http://www.snakeyaml.org</a></p>
<p>Path to dependency file: /operation-expert/pom.xml</p>
<p>Path to vulnerable library: /home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.17/snakeyaml-1.17.jar</p>
<p>
Dependency Hierarchy:
- spring-boot-starter-data-mongodb-1.4.7.RELEASE.jar (Root Library)
- spring-boot-starter-1.4.7.RELEASE.jar
- :x: **snakeyaml-1.17.jar** (Vulnerable Library)
</details>
<details><summary><b>snakeyaml-1.25.jar</b></p></summary>
<p>YAML 1.1 parser and emitter for Java</p>
<p>Library home page: <a href="http://www.snakeyaml.org">http://www.snakeyaml.org</a></p>
<p>Path to dependency file: /labsdb-worker/pom.xml</p>
<p>Path to vulnerable library: /home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar,/home/wss-scanner/.m2/repository/org/yaml/snakeyaml/1.25/snakeyaml-1.25.jar</p>
<p>
Dependency Hierarchy:
- spring-boot-starter-mail-2.2.7.RELEASE.jar (Root Library)
- spring-boot-starter-2.2.7.RELEASE.jar
- :x: **snakeyaml-1.25.jar** (Vulnerable Library)
</details>
<p>Found in HEAD commit: <a href="https://github.com/billmcchesney1/flowgate/commit/dd01a1d4381c7a3b94ba25748c015a094c33088e">dd01a1d4381c7a3b94ba25748c015a094c33088e</a></p>
<p>Found in base branch: <b>master</b></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
Using snakeYAML to parse untrusted YAML files may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by stack-overflow.
<p>Publish Date: 2022-09-05
<p>URL: <a href=https://vuln.whitesourcesoftware.com/vulnerability/CVE-2022-38752>CVE-2022-38752</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>6.5</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: Low
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
|
non_process
|
cve medium detected in snakeyaml jar snakeyaml jar cve medium severity vulnerability vulnerable libraries snakeyaml jar snakeyaml jar snakeyaml jar yaml parser and emitter for java library home page a href path to dependency file operation expert pom xml path to vulnerable library home wss scanner repository org yaml snakeyaml snakeyaml jar dependency hierarchy spring boot starter data mongodb release jar root library spring boot starter release jar x snakeyaml jar vulnerable library snakeyaml jar yaml parser and emitter for java library home page a href path to dependency file labsdb worker pom xml path to vulnerable library home wss scanner repository org yaml snakeyaml snakeyaml jar home wss scanner repository org yaml snakeyaml snakeyaml jar home wss scanner repository org yaml snakeyaml snakeyaml jar home wss scanner repository org yaml snakeyaml snakeyaml jar home wss scanner repository org yaml snakeyaml snakeyaml jar home wss scanner repository org yaml snakeyaml snakeyaml jar dependency hierarchy spring boot starter mail release jar root library spring boot starter release jar x snakeyaml jar vulnerable library found in head commit a href found in base branch master vulnerability details using snakeyaml to parse untrusted yaml files may be vulnerable to denial of service attacks dos if the parser is running on user supplied input an attacker may supply content that causes the parser to crash by stack overflow publish date url a href cvss score details base score metrics exploitability metrics attack vector network attack complexity low privileges required low user interaction none scope unchanged impact metrics confidentiality impact none integrity impact none availability impact high for more information on scores click a href
| 0
|
805
| 3,283,872,062
|
IssuesEvent
|
2015-10-28 14:37:22
|
pagespeed/mod_pagespeed
|
https://api.github.com/repos/pagespeed/mod_pagespeed
|
opened
|
Use containers for travis-ci
|
Priority-Low process
|
http://docs.travis-ci.com/user/workers/container-based-infrastructure/
We use sudo for installing the deb. It should be possible to switch this, but isn't a priority.
|
1.0
|
Use containers for travis-ci - http://docs.travis-ci.com/user/workers/container-based-infrastructure/
We use sudo for installing the deb. It should be possible to switch this, but isn't a priority.
|
process
|
use containers for travis ci we use sudo for installing the deb it should be possible to switch this but isn t a priority
| 1
|
12,381
| 14,898,512,262
|
IssuesEvent
|
2021-01-21 13:13:53
|
EdgarTeng/blog-comments
|
https://api.github.com/repos/EdgarTeng/blog-comments
|
opened
|
使用supervisord做进程管理 — ET's cyberspace
|
/2019/01/06/use-supervisord-for-process-management gitment
|
https://edgarteng.github.io/2019/01/06/use-supervisord-for-process-management/
supervisord 是一个Python开发的进程管理服务，包含了进程生命周期管理的基本流程（开始、停止、重启）。本文经典介绍了supervisord 的基本配置和使用。
|
1.0
|
使用supervisord做进程管理 — ET's cyberspace - https://edgarteng.github.io/2019/01/06/use-supervisord-for-process-management/
supervisord 是一个Python开发的进程管理服务，包含了进程生命周期管理的基本流程（开始、停止、重启）。本文经典介绍了supervisord 的基本配置和使用。
|
process
|
使用supervisord做进程管理 — et s cyberspace supervisord 是一个python开发的进程管理服务，包含了进程生命周期管理的基本流程（开始、停止、重启）。本文经典介绍了supervisord 的基本配置和使用。
| 1
|
18,286
| 10,058,799,616
|
IssuesEvent
|
2019-07-22 14:37:26
|
tensorflow/tensorflow
|
https://api.github.com/repos/tensorflow/tensorflow
|
closed
|
Entity <> could not be transformed and will be staged without change
|
2.0.0-alpha0 comp:autograph comp:keras type:bug/performance
|
**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04
- TensorFlow installed from (source or binary): source
- TensorFlow version (use command below): 2.0 alpha
- Python version: 3.6
- CUDA/cuDNN version: 10
- GPU model and memory: GTX2080Ti
Hi there, could you please have a look at the issue? A customized network module (in Keras) cannot work as for gradient backpropagation.
Log:
W0529 19:29:46.658907 140071302989632 tf_logging.py:161] Entity <bound method Layer.__call__ of <tensorflow.python.keras.engine.training.Model object at 0x7f6404415fd0>> could not be transformed and will be staged without change. Error details can be found in the logs when running with the env variable AUTOGRAPH_VERBOSITY >= 1. Please report this to the AutoGraph team. Cause: Unexpected error transforming <bound method Layer.__call__ of <tensorflow.python.keras.engine.training.Model object at 0x7f6404415fd0>>. If you believe this is due to a bug, please set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output when filing the bug report. Caused by: node <gast.gast.Subscript object at 0x7f61f416e4e0> has ctx unset
W0529 19:29:52.344057 140071302989632 tf_logging.py:161] Entity <function train_G at 0x7f64c79a9ae8> could not be transformed and will be staged without change. Error details can be found in the logs when running with the env variable AUTOGRAPH_VERBOSITY >= 1. Please report this to the AutoGraph team. Cause: Unexpected error transforming <function train_G at 0x7f64c79a9ae8>. If you believe this is due to a bug, please set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output when filing the bug report. Caused by: node <gast.gast.Name object at 0x7f61ad7cb588> has ctx unset
W0529 19:29:52.960978 140071302989632 optimizer_v2.py:928] Gradients does not exist for variables ['conv2d_24/kernel:0', 'conv2d_24/bias:0', 'conv2d_25/kernel:0', 'conv2d_25/bias:0', 'conv2d_26/kernel:0', 'conv2d_26/bias:0', 'conv2d_27/kernel:0', 'conv2d_27/bias:0', 'conv2d_28/kernel:0', 'conv2d_28/bias:0', 'conv2d_29/kernel:0', 'conv2d_29/bias:0', 'conv2d_30/kernel:0', 'conv2d_30/bias:0', 'conv2d_31/kernel:0', 'conv2d_31/bias:0', 'conv2d_32/kernel:0', 'conv2d_32/bias:0', 'conv2d_33/kernel:0', 'conv2d_33/bias:0', 'conv2d_34/kernel:0', 'conv2d_34/bias:0', 'conv2d_35/kernel:0', 'conv2d_35/bias:0', 'conv2d_36/kernel:0', 'conv2d_36/bias:0', 'conv2d_37/kernel:0', 'conv2d_37/bias:0', 'conv2d_38/kernel:0', 'conv2d_38/bias:0', 'conv2d_39/kernel:0', 'conv2d_39/bias:0'] when minimizing the loss.
x
|
True
|
Entity <> could not be transformed and will be staged without change -
**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04
- TensorFlow installed from (source or binary): source
- TensorFlow version (use command below): 2.0 alpha
- Python version: 3.6
- CUDA/cuDNN version: 10
- GPU model and memory: GTX2080Ti
Hi there, could you please have a look at the issue? A customized network module (in Keras) cannot work as for gradient backpropagation.
Log:
W0529 19:29:46.658907 140071302989632 tf_logging.py:161] Entity <bound method Layer.__call__ of <tensorflow.python.keras.engine.training.Model object at 0x7f6404415fd0>> could not be transformed and will be staged without change. Error details can be found in the logs when running with the env variable AUTOGRAPH_VERBOSITY >= 1. Please report this to the AutoGraph team. Cause: Unexpected error transforming <bound method Layer.__call__ of <tensorflow.python.keras.engine.training.Model object at 0x7f6404415fd0>>. If you believe this is due to a bug, please set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output when filing the bug report. Caused by: node <gast.gast.Subscript object at 0x7f61f416e4e0> has ctx unset
W0529 19:29:52.344057 140071302989632 tf_logging.py:161] Entity <function train_G at 0x7f64c79a9ae8> could not be transformed and will be staged without change. Error details can be found in the logs when running with the env variable AUTOGRAPH_VERBOSITY >= 1. Please report this to the AutoGraph team. Cause: Unexpected error transforming <function train_G at 0x7f64c79a9ae8>. If you believe this is due to a bug, please set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output when filing the bug report. Caused by: node <gast.gast.Name object at 0x7f61ad7cb588> has ctx unset
W0529 19:29:52.960978 140071302989632 optimizer_v2.py:928] Gradients does not exist for variables ['conv2d_24/kernel:0', 'conv2d_24/bias:0', 'conv2d_25/kernel:0', 'conv2d_25/bias:0', 'conv2d_26/kernel:0', 'conv2d_26/bias:0', 'conv2d_27/kernel:0', 'conv2d_27/bias:0', 'conv2d_28/kernel:0', 'conv2d_28/bias:0', 'conv2d_29/kernel:0', 'conv2d_29/bias:0', 'conv2d_30/kernel:0', 'conv2d_30/bias:0', 'conv2d_31/kernel:0', 'conv2d_31/bias:0', 'conv2d_32/kernel:0', 'conv2d_32/bias:0', 'conv2d_33/kernel:0', 'conv2d_33/bias:0', 'conv2d_34/kernel:0', 'conv2d_34/bias:0', 'conv2d_35/kernel:0', 'conv2d_35/bias:0', 'conv2d_36/kernel:0', 'conv2d_36/bias:0', 'conv2d_37/kernel:0', 'conv2d_37/bias:0', 'conv2d_38/kernel:0', 'conv2d_38/bias:0', 'conv2d_39/kernel:0', 'conv2d_39/bias:0'] when minimizing the loss.
x
|
non_process
|
entity could not be transformed and will be staged without change system information have i written custom code as opposed to using a stock example script provided in tensorflow yes os platform and distribution e g linux ubuntu linux ubuntu tensorflow installed from source or binary source tensorflow version use command below alpha python version cuda cudnn version gpu model and memory hi there could you please have a look at the issue a customized network module in keras cannot work as for gradient backpropagation log tf logging py entity could not be transformed and will be staged without change error details can be found in the logs when running with the env variable autograph verbosity please report this to the autograph team cause unexpected error transforming if you believe this is due to a bug please set the verbosity to on linux export autograph verbosity and attach the full output when filing the bug report caused by node has ctx unset tf logging py entity could not be transformed and will be staged without change error details can be found in the logs when running with the env variable autograph verbosity please report this to the autograph team cause unexpected error transforming if you believe this is due to a bug please set the verbosity to on linux export autograph verbosity and attach the full output when filing the bug report caused by node has ctx unset optimizer py gradients does not exist for variables when minimizing the loss x
| 0
|
21,659
| 30,107,410,564
|
IssuesEvent
|
2023-06-30 03:27:33
|
winter-telescope/mirar
|
https://api.github.com/repos/winter-telescope/mirar
|
reopened
|
poor sedmv2 photometry
|
bug nearfuture processors catalogs SEDMv2
|
**Describe the bug**
There is some room for improvement on sedmv2 photometry outputs - some bogus/saturated/edge sources are messing with the zero-point calculation in `PhotCal.py`. To address this, when calculating the zero-point we should:
- Exclude PS1 reference sources that are flagged as saturated (this should be the default behavior for all instruments)
- Exclude sources detected on the edge of the IFU mask for sedmv2
|
1.0
|
poor sedmv2 photometry - **Describe the bug**
There is some room for improvement on sedmv2 photometry outputs - some bogus/saturated/edge sources are messing with the zero-point calculation in `PhotCal.py`. To address this, when calculating the zero-point we should:
- Exclude PS1 reference sources that are flagged as saturated (this should be the default behavior for all instruments)
- Exclude sources detected on the edge of the IFU mask for sedmv2
|
process
|
poor photometry describe the bug there is some room for improvement on photometry outputs some bogus saturated edge sources are messing with the zero point calculation in photcal py to address this when calculating the zero point we should exclude reference sources that are flagged as saturated this should be the default behavior for all instruments exclude sources detected on the edge of the ifu mask for
| 1
|
104,864
| 11,424,694,468
|
IssuesEvent
|
2020-02-03 18:17:15
|
BIAPT/Scripts
|
https://api.github.com/repos/BIAPT/Scripts
|
closed
|
Investigate which values get brought down to 0 when using the wPLI code.
|
documentation enhancement
|
One of the reviewer comments seems to be hinting that that might have an effect on the graph that we build.
|
1.0
|
Investigate which values get brought down to 0 when using the wPLI code. - One of the reviewer comments seems to be hinting that that might have an effect on the graph that we build.
|
non_process
|
investigate which values get brought down to when using the wpli code one of the reviewer comments seems to be hinting that that might have an effect on the graph that we build
| 0
|
272,395
| 29,795,019,924
|
IssuesEvent
|
2023-06-16 01:04:38
|
billmcchesney1/hadoop
|
https://api.github.com/repos/billmcchesney1/hadoop
|
closed
|
CVE-2016-10735 (Medium) detected in bootstrap-2.1.1.min.js, bootstrap-3.3.7.tgz - autoclosed
|
Mend: dependency security vulnerability
|
## CVE-2016-10735 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>bootstrap-2.1.1.min.js</b>, <b>bootstrap-3.3.7.tgz</b></p></summary>
<p>
<details><summary><b>bootstrap-2.1.1.min.js</b></p></summary>
<p>The most popular front-end framework for developing responsive, mobile first projects on the web.</p>
<p>Library home page: <a href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/2.1.1/bootstrap.min.js">https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/2.1.1/bootstrap.min.js</a></p>
<p>Path to dependency file: /hadoop-tools/hadoop-sls/src/main/html/showSimulationTrace.html</p>
<p>Path to vulnerable library: /hadoop-tools/hadoop-sls/src/main/html/js/thirdparty/bootstrap.min.js,/hadoop-tools/hadoop-sls/src/main/html/js/thirdparty/bootstrap.min.js</p>
<p>
Dependency Hierarchy:
- :x: **bootstrap-2.1.1.min.js** (Vulnerable Library)
</details>
<details><summary><b>bootstrap-3.3.7.tgz</b></p></summary>
<p>The most popular front-end framework for developing responsive, mobile first projects on the web.</p>
<p>Library home page: <a href="https://registry.npmjs.org/bootstrap/-/bootstrap-3.3.7.tgz">https://registry.npmjs.org/bootstrap/-/bootstrap-3.3.7.tgz</a></p>
<p>Path to dependency file: /hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-catalog/hadoop-yarn-applications-catalog-webapp/package.json</p>
<p>Path to vulnerable library: /hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-catalog/hadoop-yarn-applications-catalog-webapp/node_modules/bootstrap/package.json</p>
<p>
Dependency Hierarchy:
- :x: **bootstrap-3.3.7.tgz** (Vulnerable Library)
</details>
<p>Found in HEAD commit: <a href="https://github.com/billmcchesney1/hadoop/commit/6dcd8400219941dcbd7fb0f6b980cc2c6a2a6b0a">6dcd8400219941dcbd7fb0f6b980cc2c6a2a6b0a</a></p>
<p>Found in base branch: <b>trunk</b></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png?' width=19 height=20> Vulnerability Details</summary>
<p>
In Bootstrap 3.x before 3.4.0 and 4.x-beta before 4.0.0-beta.2, XSS is possible in the data-target attribute, a different vulnerability than CVE-2018-14041.
Mend Note: Converted from WS-2018-0021, on 2022-11-08.
<p>Publish Date: 2019-01-09
<p>URL: <a href=https://www.mend.io/vulnerability-database/CVE-2016-10735>CVE-2016-10735</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>6.1</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Changed
- Impact Metrics:
- Confidentiality Impact: Low
- Integrity Impact: Low
- Availability Impact: None
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-10735">https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-10735</a></p>
<p>Release Date: 2019-01-09</p>
<p>Fix Resolution: 3.4.0</p>
</p>
</details>
<p></p>
***
<!-- REMEDIATE-OPEN-PR-START -->
- [ ] Check this box to open an automated fix PR
<!-- REMEDIATE-OPEN-PR-END -->
|
True
|
CVE-2016-10735 (Medium) detected in bootstrap-2.1.1.min.js, bootstrap-3.3.7.tgz - autoclosed - ## CVE-2016-10735 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>bootstrap-2.1.1.min.js</b>, <b>bootstrap-3.3.7.tgz</b></p></summary>
<p>
<details><summary><b>bootstrap-2.1.1.min.js</b></p></summary>
<p>The most popular front-end framework for developing responsive, mobile first projects on the web.</p>
<p>Library home page: <a href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/2.1.1/bootstrap.min.js">https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/2.1.1/bootstrap.min.js</a></p>
<p>Path to dependency file: /hadoop-tools/hadoop-sls/src/main/html/showSimulationTrace.html</p>
<p>Path to vulnerable library: /hadoop-tools/hadoop-sls/src/main/html/js/thirdparty/bootstrap.min.js,/hadoop-tools/hadoop-sls/src/main/html/js/thirdparty/bootstrap.min.js</p>
<p>
Dependency Hierarchy:
- :x: **bootstrap-2.1.1.min.js** (Vulnerable Library)
</details>
<details><summary><b>bootstrap-3.3.7.tgz</b></p></summary>
<p>The most popular front-end framework for developing responsive, mobile first projects on the web.</p>
<p>Library home page: <a href="https://registry.npmjs.org/bootstrap/-/bootstrap-3.3.7.tgz">https://registry.npmjs.org/bootstrap/-/bootstrap-3.3.7.tgz</a></p>
<p>Path to dependency file: /hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-catalog/hadoop-yarn-applications-catalog-webapp/package.json</p>
<p>Path to vulnerable library: /hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-catalog/hadoop-yarn-applications-catalog-webapp/node_modules/bootstrap/package.json</p>
<p>
Dependency Hierarchy:
- :x: **bootstrap-3.3.7.tgz** (Vulnerable Library)
</details>
<p>Found in HEAD commit: <a href="https://github.com/billmcchesney1/hadoop/commit/6dcd8400219941dcbd7fb0f6b980cc2c6a2a6b0a">6dcd8400219941dcbd7fb0f6b980cc2c6a2a6b0a</a></p>
<p>Found in base branch: <b>trunk</b></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png?' width=19 height=20> Vulnerability Details</summary>
<p>
In Bootstrap 3.x before 3.4.0 and 4.x-beta before 4.0.0-beta.2, XSS is possible in the data-target attribute, a different vulnerability than CVE-2018-14041.
Mend Note: Converted from WS-2018-0021, on 2022-11-08.
<p>Publish Date: 2019-01-09
<p>URL: <a href=https://www.mend.io/vulnerability-database/CVE-2016-10735>CVE-2016-10735</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>6.1</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Changed
- Impact Metrics:
- Confidentiality Impact: Low
- Integrity Impact: Low
- Availability Impact: None
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-10735">https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-10735</a></p>
<p>Release Date: 2019-01-09</p>
<p>Fix Resolution: 3.4.0</p>
</p>
</details>
<p></p>
***
<!-- REMEDIATE-OPEN-PR-START -->
- [ ] Check this box to open an automated fix PR
<!-- REMEDIATE-OPEN-PR-END -->
|
non_process
|
cve medium detected in bootstrap min js bootstrap tgz autoclosed cve medium severity vulnerability vulnerable libraries bootstrap min js bootstrap tgz bootstrap min js the most popular front end framework for developing responsive mobile first projects on the web library home page a href path to dependency file hadoop tools hadoop sls src main html showsimulationtrace html path to vulnerable library hadoop tools hadoop sls src main html js thirdparty bootstrap min js hadoop tools hadoop sls src main html js thirdparty bootstrap min js dependency hierarchy x bootstrap min js vulnerable library bootstrap tgz the most popular front end framework for developing responsive mobile first projects on the web library home page a href path to dependency file hadoop yarn project hadoop yarn hadoop yarn applications hadoop yarn applications catalog hadoop yarn applications catalog webapp package json path to vulnerable library hadoop yarn project hadoop yarn hadoop yarn applications hadoop yarn applications catalog hadoop yarn applications catalog webapp node modules bootstrap package json dependency hierarchy x bootstrap tgz vulnerable library found in head commit a href found in base branch trunk vulnerability details in bootstrap x before and x beta before beta xss is possible in the data target attribute a different vulnerability than cve mend note converted from ws on publish date url a href cvss score details base score metrics exploitability metrics attack vector network attack complexity low privileges required none user interaction required scope changed impact metrics confidentiality impact low integrity impact low availability impact none for more information on scores click a href suggested fix type upgrade version origin a href release date fix resolution check this box to open an automated fix pr
| 0
|
23,438
| 21,911,799,812
|
IssuesEvent
|
2022-05-21 06:47:24
|
the-tale/the-tale
|
https://api.github.com/repos/the-tale/the-tale
|
closed
|
Лингвистика: переименовать «время дня» во «время суток»
|
type_improvement cont_usability est_simple comp_linguistics good first issue
|
Чтобы название лучше соответствовало перечню ограничений.
|
True
|
Лингвистика: переименовать «время дня» во «время суток» - Чтобы название лучше соответствовало перечню ограничений.
|
non_process
|
лингвистика переименовать «время дня» во «время суток» чтобы название лучше соответствовало перечню ограничений
| 0
|
211,737
| 16,358,592,754
|
IssuesEvent
|
2021-05-14 05:14:12
|
quarkusio/quarkus
|
https://api.github.com/repos/quarkusio/quarkus
|
closed
|
Dev UI triggers continuous testing on "R" button pressed
|
area/continuous-testing kind/bug
|
## Describe the bug
Dev UI triggers continuous testing on "R" button pressed. This happens in http://localhost:8080/q/dev/
Even though this can be a feature, but while user editing field in the config
http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config this shouldn't trigger continuous testing
### Expected behavior
Define scope when "R" button should run tests.
### Actual behavior
(Describe the actual behavior clearly and concisely.)
## To Reproduce
Link to a small reproducer (preferably a Maven project if the issue is not Gradle-specific).
Or attach an archive containing the reproducer to the issue.
Steps to reproduce the behavior:
1. Create bootstrap project which contains tests
2. mvn quarkus:dev
3. Go to http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config
4. Press "R" on any filed while typing
## Environment (please complete the following information):
Linux Fedora
### Quarkus version or git rev
Latest Quarkus main
### Build tool (ie. output of `mvnw --version` or `gradlew --version`)
mvn 3.8.1
|
1.0
|
Dev UI triggers continuous testing on "R" button pressed - ## Describe the bug
Dev UI triggers continuous testing on "R" button pressed. This happens in http://localhost:8080/q/dev/
Even though this can be a feature, but while user editing field in the config
http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config this shouldn't trigger continuous testing
### Expected behavior
Define scope when "R" button should run tests.
### Actual behavior
(Describe the actual behavior clearly and concisely.)
## To Reproduce
Link to a small reproducer (preferably a Maven project if the issue is not Gradle-specific).
Or attach an archive containing the reproducer to the issue.
Steps to reproduce the behavior:
1. Create bootstrap project which contains tests
2. mvn quarkus:dev
3. Go to http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config
4. Press "R" on any filed while typing
## Environment (please complete the following information):
Linux Fedora
### Quarkus version or git rev
Latest Quarkus main
### Build tool (ie. output of `mvnw --version` or `gradlew --version`)
mvn 3.8.1
|
non_process
|
dev ui triggers continuous testing on r button pressed describe the bug dev ui triggers continuous testing on r button pressed this happens in even though this can be a feature but while user editing field in the config this shouldn t trigger continuous testing expected behavior define scope when r button should run tests actual behavior describe the actual behavior clearly and concisely to reproduce link to a small reproducer preferably a maven project if the issue is not gradle specific or attach an archive containing the reproducer to the issue steps to reproduce the behavior create bootstrap project which contains tests mvn quarkus dev go to press r on any filed while typing environment please complete the following information linux fedora quarkus version or git rev latest quarkus main build tool ie output of mvnw version or gradlew version mvn
| 0
|
9,009
| 12,121,916,938
|
IssuesEvent
|
2020-04-22 10:04:28
|
qgis/QGIS
|
https://api.github.com/repos/qgis/QGIS
|
closed
|
Processing in a standalone QGIS app
|
Feature Request Processing
|
Author Name: **Joshua Arnott** (@snorfalorpagus)
Original Redmine Issue: [8955](https://issues.qgis.org/issues/8955)
Redmine category:processing/core
Assignee: Victor Olaya
---
Currently it is not possible to use the processing module in a standalone QGIS application/script.
This is due in part to a dependence on the iface object, which is only available when running as a plugin within QGIS. In addition to this there will be issues with calling external programs/scripts using subprocess.Popen related to paths.
I've attached an example script (processing_standalone.py) which uses a mock iface object to allow the plugin to load. This can be used to run the 'qgis:*' algorithms, as they don't have any external dependencies. More work is needed to get things working with GRASS and SAGA, etc.
---
- [processing_standalone.py](https://issues.qgis.org/attachments/download/6411/processing_standalone.py) (Joshua Arnott)
|
1.0
|
Processing in a standalone QGIS app - Author Name: **Joshua Arnott** (@snorfalorpagus)
Original Redmine Issue: [8955](https://issues.qgis.org/issues/8955)
Redmine category:processing/core
Assignee: Victor Olaya
---
Currently it is not possible to use the processing module in a standalone QGIS application/script.
This is due in part to a dependence on the iface object, which is only available when running as a plugin within QGIS. In addition to this there will be issues with calling external programs/scripts using subprocess.Popen related to paths.
I've attached an example script (processing_standalone.py) which uses a mock iface object to allow the plugin to load. This can be used to run the 'qgis:*' algorithms, as they don't have any external dependencies. More work is needed to get things working with GRASS and SAGA, etc.
---
- [processing_standalone.py](https://issues.qgis.org/attachments/download/6411/processing_standalone.py) (Joshua Arnott)
|
process
|
processing in a standalone qgis app author name joshua arnott snorfalorpagus original redmine issue redmine category processing core assignee victor olaya currently it is not possible to use the processing module in a standalone qgis application script this is due in part to a dependence on the iface object which is only available when running as a plugin within qgis in addition to this there will be issues with calling external programs scripts using subprocess popen related to paths i ve attached an example script processing standalone py which uses a mock iface object to allow the plugin to load this can be used to run the qgis algorithms as they don t have any external dependencies more work is needed to get things working with grass and saga etc joshua arnott
| 1
|
130,654
| 27,737,613,911
|
IssuesEvent
|
2023-03-15 12:20:30
|
UnitTestBot/UTBotJava
|
https://api.github.com/repos/UnitTestBot/UTBotJava
|
opened
|
Mocking new instances in code generation diverges from behavior expected by the symbolic engine
|
ctg-enhancement comp-codegen comp-symbolic-engine
|
**Description**
For now, `UtNewInstanceInstrumentation` created with the symbolic engine is supposed to contain different mocked instances that can be mocked with different behavior. For example, some class `A` with some method `int foo()` can be mocked with 2 different instances `a1` and `a2` - `a1` is supposed to return `1, 2` at 2 sequential `foo` invocations and `a2` is supposed to return `3` at single `foo` invocation. But code generation uses only one mocked instance - that returns `1, 2, 3` at 3 sequential `foo` invocations.
It's not obvious find an example that such diversion leads to errors, and it should be investigated whether is it even possible to implement such a behavior expected from the symbolic engine using any mocking frameworks.
**Expected behavior**
Mocking new instances in code generation must be consistent with the symbolic engine.
**Environment**
`UtNewInstanceInstrumentation`.
**Context**
No additional context.
|
1.0
|
Mocking new instances in code generation diverges from behavior expected by the symbolic engine - **Description**
For now, `UtNewInstanceInstrumentation` created with the symbolic engine is supposed to contain different mocked instances that can be mocked with different behavior. For example, some class `A` with some method `int foo()` can be mocked with 2 different instances `a1` and `a2` - `a1` is supposed to return `1, 2` at 2 sequential `foo` invocations and `a2` is supposed to return `3` at single `foo` invocation. But code generation uses only one mocked instance - that returns `1, 2, 3` at 3 sequential `foo` invocations.
It's not obvious find an example that such diversion leads to errors, and it should be investigated whether is it even possible to implement such a behavior expected from the symbolic engine using any mocking frameworks.
**Expected behavior**
Mocking new instances in code generation must be consistent with the symbolic engine.
**Environment**
`UtNewInstanceInstrumentation`.
**Context**
No additional context.
|
non_process
|
mocking new instances in code generation diverges from behavior expected by the symbolic engine description for now utnewinstanceinstrumentation created with the symbolic engine is supposed to contain different mocked instances that can be mocked with different behavior for example some class a with some method int foo can be mocked with different instances and is supposed to return at sequential foo invocations and is supposed to return at single foo invocation but code generation uses only one mocked instance that returns at sequential foo invocations it s not obvious find an example that such diversion leads to errors and it should be investigated whether is it even possible to implement such a behavior expected from the symbolic engine using any mocking frameworks expected behavior mocking new instances in code generation must be consistent with the symbolic engine environment utnewinstanceinstrumentation context no additional context
| 0
|
7,083
| 10,231,325,213
|
IssuesEvent
|
2019-08-18 08:22:08
|
symfony/symfony
|
https://api.github.com/repos/symfony/symfony
|
closed
|
process object to get lastOutputTime
|
Feature Process good first issue
|
**Description**
I run watch webpack build by symfony process,but when i can not check if is building before wait.so ,i should a public method in process class to get lastOutputTime to check it.
**Example**
```
$this->runner($params, $messages, true,function(Process $process,$progressBar){
$process->setTimeout(null);
$process->start();
$process->wait(function ($type, $buffer) use($progressBar) {
if (microtime(true) - $process->getLastOutputTime() > 10){
$this->output->writeln("<fg=yellow>start to watch</>");
}
});
});
```
|
1.0
|
process object to get lastOutputTime - **Description**
I run watch webpack build by symfony process,but when i can not check if is building before wait.so ,i should a public method in process class to get lastOutputTime to check it.
**Example**
```
$this->runner($params, $messages, true,function(Process $process,$progressBar){
$process->setTimeout(null);
$process->start();
$process->wait(function ($type, $buffer) use($progressBar) {
if (microtime(true) - $process->getLastOutputTime() > 10){
$this->output->writeln("<fg=yellow>start to watch</>");
}
});
});
```
|
process
|
process object to get lastoutputtime description i run watch webpack build by symfony process but when i can not check if is building before wait so i should a public method in process class to get lastoutputtime to check it example this runner params messages true function process process progressbar process settimeout null process start process wait function type buffer use progressbar if microtime true process getlastoutputtime this output writeln start to watch
| 1
|
20,711
| 27,402,097,877
|
IssuesEvent
|
2023-03-01 02:00:09
|
lizhihao6/get-daily-arxiv-noti
|
https://api.github.com/repos/lizhihao6/get-daily-arxiv-noti
|
opened
|
New submissions for Wed, 1 Mar 23
|
event camera white balance isp compression image signal processing image signal process raw raw image events camera color contrast events AWB
|
## Keyword: events
### Learning to Estimate Two Dense Depths from LiDAR and Event Data
- **Authors:** Vincent Brebion, Julien Moreau, Franck Davoine
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14444
- **Pdf link:** https://arxiv.org/pdf/2302.14444
- **Abstract**
Event cameras do not produce images, but rather a continuous flow of events, which encode changes of illumination for each pixel independently and asynchronously. While they output temporally rich information, they lack any depth information which could facilitate their use with other sensors. LiDARs can provide this depth information, but are by nature very sparse, which makes the depth-to-event association more complex. Furthermore, as events represent changes of illumination, they might also represent changes of depth; associating them with a single depth is therefore inadequate. In this work, we propose to address these issues by fusing information from an event camera and a LiDAR using a learning-based approach to estimate accurate dense depth maps. To solve the "potential change of depth" problem, we propose here to estimate two depth maps at each step: one "before" the events happen, and one "after" the events happen. We further propose to use this pair of depths to compute a depth difference for each event, to give them more context. We train and evaluate our network, ALED, on both synthetic and real driving sequences, and show that it is able to predict dense depths with an error reduction of up to 61% compared to the current state of the art. We also demonstrate the quality of our 2-depths-to-event association, and the usefulness of the depth difference information. Finally, we release SLED, a novel synthetic dataset comprising events, LiDAR point clouds, RGB images, and dense depth maps.
### Benchmarking Deepart Detection
- **Authors:** Yabin Wang, Zhiwu Huang, Xiaopeng Hong
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
- **Arxiv link:** https://arxiv.org/abs/2302.14475
- **Pdf link:** https://arxiv.org/pdf/2302.14475
- **Abstract**
Deepfake technologies have been blurring the boundaries between the real and unreal, likely resulting in malicious events. By leveraging newly emerged deepfake technologies, deepfake researchers have been making a great upending to create deepfake artworks (deeparts), which are further closing the gap between reality and fantasy. To address potentially appeared ethics questions, this paper establishes a deepart detection database (DDDB) that consists of a set of high-quality conventional art images (conarts) and five sets of deepart images generated by five state-of-the-art deepfake models. This database enables us to explore once-for-all deepart detection and continual deepart detection. For the two new problems, we suggest four benchmark evaluations and four families of solutions on the constructed DDDB. The comprehensive study demonstrates the effectiveness of the proposed solutions on the established benchmark dataset, which is capable of paving a way to more interesting directions of deepart detection. The constructed benchmark dataset and the source code will be made publicly available.
## Keyword: event camera
### Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain
- **Authors:** Chuanlin Lan, Ziyuan Yin, Arindam Basu, Rosa H. M. Chan
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14430
- **Pdf link:** https://arxiv.org/pdf/2302.14430
- **Abstract**
3D hand tracking methods based on monocular RGB videos are easily affected by motion blur, while event camera, a sensor with high temporal resolution and dynamic range, is naturally suitable for this task with sparse output and low power consumption. However, obtaining 3D annotations of fast-moving hands is difficult for constructing event-based hand-tracking datasets. In this paper, we provided an event-based speed adaptive hand tracker (ESAHT) to solve the hand tracking problem based on event camera. We enabled a CNN model trained on a hand tracking dataset with slow motion, which enabled the model to leverage the knowledge of RGB-based hand tracking solutions, to work on fast hand tracking tasks. To realize our solution, we constructed the first 3D hand tracking dataset captured by an event camera in a real-world environment, figured out two data augment methods to narrow the domain gap between slow and fast motion data, developed a speed adaptive event stream segmentation method to handle hand movements in different moving speeds, and introduced a new event-to-frame representation method adaptive to event streams with different lengths. Experiments showed that our solution outperformed RGB-based as well as previous event-based solutions in fast hand tracking tasks, and our codes and dataset will be publicly available.
### Learning to Estimate Two Dense Depths from LiDAR and Event Data
- **Authors:** Vincent Brebion, Julien Moreau, Franck Davoine
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14444
- **Pdf link:** https://arxiv.org/pdf/2302.14444
- **Abstract**
Event cameras do not produce images, but rather a continuous flow of events, which encode changes of illumination for each pixel independently and asynchronously. While they output temporally rich information, they lack any depth information which could facilitate their use with other sensors. LiDARs can provide this depth information, but are by nature very sparse, which makes the depth-to-event association more complex. Furthermore, as events represent changes of illumination, they might also represent changes of depth; associating them with a single depth is therefore inadequate. In this work, we propose to address these issues by fusing information from an event camera and a LiDAR using a learning-based approach to estimate accurate dense depth maps. To solve the "potential change of depth" problem, we propose here to estimate two depth maps at each step: one "before" the events happen, and one "after" the events happen. We further propose to use this pair of depths to compute a depth difference for each event, to give them more context. We train and evaluate our network, ALED, on both synthetic and real driving sequences, and show that it is able to predict dense depths with an error reduction of up to 61% compared to the current state of the art. We also demonstrate the quality of our 2-depths-to-event association, and the usefulness of the depth difference information. Finally, we release SLED, a novel synthetic dataset comprising events, LiDAR point clouds, RGB images, and dense depth maps.
## Keyword: events camera
There is no result
## Keyword: white balance
There is no result
## Keyword: color contrast
There is no result
## Keyword: AWB
### GRAN: Ghost Residual Attention Network for Single Image Super Resolution
- **Authors:** Axi Niu, Pei Wang, Yu Zhu, Jinqiu Sun, Qingsen Yan, Yanning Zhang
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14557
- **Pdf link:** https://arxiv.org/pdf/2302.14557
- **Abstract**
Recently, many works have designed wider and deeper networks to achieve higher image super-resolution performance. Despite their outstanding performance, they still suffer from high computational resources, preventing them from directly applying to embedded devices. To reduce the computation resources and maintain performance, we propose a novel Ghost Residual Attention Network (GRAN) for efficient super-resolution. This paper introduces Ghost Residual Attention Block (GRAB) groups to overcome the drawbacks of the standard convolutional operation, i.e., redundancy of the intermediate feature. GRAB consists of the Ghost Module and Channel and Spatial Attention Module (CSAM) to alleviate the generation of redundant features. Specifically, Ghost Module can reveal information underlying intrinsic features by employing linear operations to replace the standard convolutions. Reducing redundant features by the Ghost Module, our model decreases memory and computing resource requirements in the network. The CSAM pays more comprehensive attention to where and what the feature extraction is, which is critical to recovering the image details. Experiments conducted on the benchmark datasets demonstrate the superior performance of our method in both qualitative and quantitative. Compared to the baseline models, we achieve higher performance with lower computational resources, whose parameters and FLOPs have decreased by more than ten times.
## Keyword: ISP
There is no result
## Keyword: image signal processing
There is no result
## Keyword: image signal process
There is no result
## Keyword: compression
### Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
- **Authors:** Yi Yu, Yufei Wang, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex C. Kot
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV); Cryptography and Security (cs.CR)
- **Arxiv link:** https://arxiv.org/abs/2302.14677
- **Pdf link:** https://arxiv.org/pdf/2302.14677
- **Abstract**
Recent deep-learning-based compression methods have achieved superior performance compared with traditional approaches. However, deep learning models have proven to be vulnerable to backdoor attacks, where some specific trigger patterns added to the input can lead to malicious behavior of the models. In this paper, we present a novel backdoor attack with multiple triggers against learned image compression models. Motivated by the widely used discrete cosine transform (DCT) in existing compression systems and standards, we propose a frequency-based trigger injection model that adds triggers in the DCT domain. In particular, we design several attack objectives for various attacking scenarios, including: 1) attacking compression quality in terms of bit-rate and reconstruction quality; 2) attacking task-driven measures, such as down-stream face recognition and semantic segmentation. Moreover, a novel simple dynamic loss is designed to balance the influence of different loss terms adaptively, which helps achieve more efficient training. Extensive experiments show that with our trained trigger injection models and simple modification of encoder parameters (of the compression model), the proposed attack can successfully inject several backdoors with corresponding triggers in a single image compression model.
## Keyword: RAW
### Image-Based Virtual Try-on System With Clothing-Size Adjustment
- **Authors:** Minoru Kuribayashi, Koki Nakai, Nobuo Funabiki
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14197
- **Pdf link:** https://arxiv.org/pdf/2302.14197
- **Abstract**
The conventional image-based virtual try-on method cannot generate fitting images that correspond to the clothing size because the system cannot accurately reflect the body information of a person. In this study, an image-based virtual try-on system that could adjust the clothing size was proposed. The size information of the person and clothing were used as the input for the proposed method to visualize the fitting of various clothing sizes in a virtual space. First, the distance between the shoulder width and height of the clothing in the person image is calculated based on the coordinate information of the key points detected by OpenPose. Then, the system changes the size of only the clothing area of the segmentation map, whose layout is estimated using the size of the person measured in the person image based on the ratio of the person and clothing sizes. If the size of the clothing area increases during the drawing, the details in the collar and overlapping areas are corrected to improve visual appearance.
### A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
- **Authors:** Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14301
- **Pdf link:** https://arxiv.org/pdf/2302.14301
- **Abstract**
The robustness of deep neural networks is usually lacking under adversarial examples, common corruptions, and distribution shifts, which becomes an important research problem in the development of deep learning. Although new deep learning methods and robustness improvement techniques have been constantly proposed, the robustness evaluations of existing methods are often inadequate due to their rapid development, diverse noise patterns, and simple evaluation metrics. Without thorough robustness evaluations, it is hard to understand the advances in the field and identify the effective methods. In this paper, we establish a comprehensive robustness benchmark called \textbf{ARES-Bench} on the image classification task. In our benchmark, we evaluate the robustness of 55 typical deep learning models on ImageNet with diverse architectures (e.g., CNNs, Transformers) and learning algorithms (e.g., normal supervised training, pre-training, adversarial training) under numerous adversarial attacks and out-of-distribution (OOD) datasets. Using robustness curves as the major evaluation criteria, we conduct large-scale experiments and draw several important findings, including: 1) there is an inherent trade-off between adversarial and natural robustness for the same model architecture; 2) adversarial training effectively improves adversarial robustness, especially when performed on Transformer architectures; 3) pre-training significantly improves natural robustness based on more training data or self-supervised learning. Based on ARES-Bench, we further analyze the training tricks in large-scale adversarial training on ImageNet. By designing the training settings accordingly, we achieve the new state-of-the-art adversarial robustness. We have made the benchmarking results and code platform publicly available.
### DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
- **Authors:** Rajiv Kumar, G. Sivakumar
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14533
- **Pdf link:** https://arxiv.org/pdf/2302.14533
- **Abstract**
Requirements of large amounts of data is a difficulty in training many GANs. Data efficient GANs involve fitting a generators continuous target distribution with a limited discrete set of data samples, which is a difficult task. Single image methods have focused on modeling the internal distribution of a single image and generating its samples. While single image methods can synthesize image samples with diversity, they do not model multiple images or capture the inherent relationship possible between two images. Given only a handful of images, we are interested in generating samples and exploiting the commonalities in the input images. In this work, we extend the single-image GAN method to model multiple images for sample synthesis. We modify the discriminator with an auxiliary classifier branch, which helps to generate a wide variety of samples and to classify the input labels. Our Data-Efficient GAN (DEff-GAN) generates excellent results when similarities and correspondences can be drawn between the input images or classes.
### GRAN: Ghost Residual Attention Network for Single Image Super Resolution
- **Authors:** Axi Niu, Pei Wang, Yu Zhu, Jinqiu Sun, Qingsen Yan, Yanning Zhang
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14557
- **Pdf link:** https://arxiv.org/pdf/2302.14557
- **Abstract**
Recently, many works have designed wider and deeper networks to achieve higher image super-resolution performance. Despite their outstanding performance, they still suffer from high computational resources, preventing them from directly applying to embedded devices. To reduce the computation resources and maintain performance, we propose a novel Ghost Residual Attention Network (GRAN) for efficient super-resolution. This paper introduces Ghost Residual Attention Block (GRAB) groups to overcome the drawbacks of the standard convolutional operation, i.e., redundancy of the intermediate feature. GRAB consists of the Ghost Module and Channel and Spatial Attention Module (CSAM) to alleviate the generation of redundant features. Specifically, Ghost Module can reveal information underlying intrinsic features by employing linear operations to replace the standard convolutions. Reducing redundant features by the Ghost Module, our model decreases memory and computing resource requirements in the network. The CSAM pays more comprehensive attention to where and what the feature extraction is, which is critical to recovering the image details. Experiments conducted on the benchmark datasets demonstrate the superior performance of our method in both qualitative and quantitative. Compared to the baseline models, we achieve higher performance with lower computational resources, whose parameters and FLOPs have decreased by more than ten times.
## Keyword: raw image
There is no result
|
2.0
|
New submissions for Wed, 1 Mar 23 - ## Keyword: events
### Learning to Estimate Two Dense Depths from LiDAR and Event Data
- **Authors:** Vincent Brebion, Julien Moreau, Franck Davoine
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14444
- **Pdf link:** https://arxiv.org/pdf/2302.14444
- **Abstract**
Event cameras do not produce images, but rather a continuous flow of events, which encode changes of illumination for each pixel independently and asynchronously. While they output temporally rich information, they lack any depth information which could facilitate their use with other sensors. LiDARs can provide this depth information, but are by nature very sparse, which makes the depth-to-event association more complex. Furthermore, as events represent changes of illumination, they might also represent changes of depth; associating them with a single depth is therefore inadequate. In this work, we propose to address these issues by fusing information from an event camera and a LiDAR using a learning-based approach to estimate accurate dense depth maps. To solve the "potential change of depth" problem, we propose here to estimate two depth maps at each step: one "before" the events happen, and one "after" the events happen. We further propose to use this pair of depths to compute a depth difference for each event, to give them more context. We train and evaluate our network, ALED, on both synthetic and real driving sequences, and show that it is able to predict dense depths with an error reduction of up to 61% compared to the current state of the art. We also demonstrate the quality of our 2-depths-to-event association, and the usefulness of the depth difference information. Finally, we release SLED, a novel synthetic dataset comprising events, LiDAR point clouds, RGB images, and dense depth maps.
### Benchmarking Deepart Detection
- **Authors:** Yabin Wang, Zhiwu Huang, Xiaopeng Hong
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
- **Arxiv link:** https://arxiv.org/abs/2302.14475
- **Pdf link:** https://arxiv.org/pdf/2302.14475
- **Abstract**
Deepfake technologies have been blurring the boundaries between the real and unreal, likely resulting in malicious events. By leveraging newly emerged deepfake technologies, deepfake researchers have been making a great upending to create deepfake artworks (deeparts), which are further closing the gap between reality and fantasy. To address potentially appeared ethics questions, this paper establishes a deepart detection database (DDDB) that consists of a set of high-quality conventional art images (conarts) and five sets of deepart images generated by five state-of-the-art deepfake models. This database enables us to explore once-for-all deepart detection and continual deepart detection. For the two new problems, we suggest four benchmark evaluations and four families of solutions on the constructed DDDB. The comprehensive study demonstrates the effectiveness of the proposed solutions on the established benchmark dataset, which is capable of paving a way to more interesting directions of deepart detection. The constructed benchmark dataset and the source code will be made publicly available.
## Keyword: event camera
### Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain
- **Authors:** Chuanlin Lan, Ziyuan Yin, Arindam Basu, Rosa H. M. Chan
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14430
- **Pdf link:** https://arxiv.org/pdf/2302.14430
- **Abstract**
3D hand tracking methods based on monocular RGB videos are easily affected by motion blur, while event camera, a sensor with high temporal resolution and dynamic range, is naturally suitable for this task with sparse output and low power consumption. However, obtaining 3D annotations of fast-moving hands is difficult for constructing event-based hand-tracking datasets. In this paper, we provided an event-based speed adaptive hand tracker (ESAHT) to solve the hand tracking problem based on event camera. We enabled a CNN model trained on a hand tracking dataset with slow motion, which enabled the model to leverage the knowledge of RGB-based hand tracking solutions, to work on fast hand tracking tasks. To realize our solution, we constructed the first 3D hand tracking dataset captured by an event camera in a real-world environment, figured out two data augment methods to narrow the domain gap between slow and fast motion data, developed a speed adaptive event stream segmentation method to handle hand movements in different moving speeds, and introduced a new event-to-frame representation method adaptive to event streams with different lengths. Experiments showed that our solution outperformed RGB-based as well as previous event-based solutions in fast hand tracking tasks, and our codes and dataset will be publicly available.
### Learning to Estimate Two Dense Depths from LiDAR and Event Data
- **Authors:** Vincent Brebion, Julien Moreau, Franck Davoine
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14444
- **Pdf link:** https://arxiv.org/pdf/2302.14444
- **Abstract**
Event cameras do not produce images, but rather a continuous flow of events, which encode changes of illumination for each pixel independently and asynchronously. While they output temporally rich information, they lack any depth information which could facilitate their use with other sensors. LiDARs can provide this depth information, but are by nature very sparse, which makes the depth-to-event association more complex. Furthermore, as events represent changes of illumination, they might also represent changes of depth; associating them with a single depth is therefore inadequate. In this work, we propose to address these issues by fusing information from an event camera and a LiDAR using a learning-based approach to estimate accurate dense depth maps. To solve the "potential change of depth" problem, we propose here to estimate two depth maps at each step: one "before" the events happen, and one "after" the events happen. We further propose to use this pair of depths to compute a depth difference for each event, to give them more context. We train and evaluate our network, ALED, on both synthetic and real driving sequences, and show that it is able to predict dense depths with an error reduction of up to 61% compared to the current state of the art. We also demonstrate the quality of our 2-depths-to-event association, and the usefulness of the depth difference information. Finally, we release SLED, a novel synthetic dataset comprising events, LiDAR point clouds, RGB images, and dense depth maps.
## Keyword: events camera
There is no result
## Keyword: white balance
There is no result
## Keyword: color contrast
There is no result
## Keyword: AWB
### GRAN: Ghost Residual Attention Network for Single Image Super Resolution
- **Authors:** Axi Niu, Pei Wang, Yu Zhu, Jinqiu Sun, Qingsen Yan, Yanning Zhang
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14557
- **Pdf link:** https://arxiv.org/pdf/2302.14557
- **Abstract**
Recently, many works have designed wider and deeper networks to achieve higher image super-resolution performance. Despite their outstanding performance, they still suffer from high computational resources, preventing them from directly applying to embedded devices. To reduce the computation resources and maintain performance, we propose a novel Ghost Residual Attention Network (GRAN) for efficient super-resolution. This paper introduces Ghost Residual Attention Block (GRAB) groups to overcome the drawbacks of the standard convolutional operation, i.e., redundancy of the intermediate feature. GRAB consists of the Ghost Module and Channel and Spatial Attention Module (CSAM) to alleviate the generation of redundant features. Specifically, Ghost Module can reveal information underlying intrinsic features by employing linear operations to replace the standard convolutions. Reducing redundant features by the Ghost Module, our model decreases memory and computing resource requirements in the network. The CSAM pays more comprehensive attention to where and what the feature extraction is, which is critical to recovering the image details. Experiments conducted on the benchmark datasets demonstrate the superior performance of our method in both qualitative and quantitative. Compared to the baseline models, we achieve higher performance with lower computational resources, whose parameters and FLOPs have decreased by more than ten times.
## Keyword: ISP
There is no result
## Keyword: image signal processing
There is no result
## Keyword: image signal process
There is no result
## Keyword: compression
### Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
- **Authors:** Yi Yu, Yufei Wang, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex C. Kot
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV); Cryptography and Security (cs.CR)
- **Arxiv link:** https://arxiv.org/abs/2302.14677
- **Pdf link:** https://arxiv.org/pdf/2302.14677
- **Abstract**
Recent deep-learning-based compression methods have achieved superior performance compared with traditional approaches. However, deep learning models have proven to be vulnerable to backdoor attacks, where some specific trigger patterns added to the input can lead to malicious behavior of the models. In this paper, we present a novel backdoor attack with multiple triggers against learned image compression models. Motivated by the widely used discrete cosine transform (DCT) in existing compression systems and standards, we propose a frequency-based trigger injection model that adds triggers in the DCT domain. In particular, we design several attack objectives for various attacking scenarios, including: 1) attacking compression quality in terms of bit-rate and reconstruction quality; 2) attacking task-driven measures, such as down-stream face recognition and semantic segmentation. Moreover, a novel simple dynamic loss is designed to balance the influence of different loss terms adaptively, which helps achieve more efficient training. Extensive experiments show that with our trained trigger injection models and simple modification of encoder parameters (of the compression model), the proposed attack can successfully inject several backdoors with corresponding triggers in a single image compression model.
## Keyword: RAW
### Image-Based Virtual Try-on System With Clothing-Size Adjustment
- **Authors:** Minoru Kuribayashi, Koki Nakai, Nobuo Funabiki
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14197
- **Pdf link:** https://arxiv.org/pdf/2302.14197
- **Abstract**
The conventional image-based virtual try-on method cannot generate fitting images that correspond to the clothing size because the system cannot accurately reflect the body information of a person. In this study, an image-based virtual try-on system that could adjust the clothing size was proposed. The size information of the person and clothing were used as the input for the proposed method to visualize the fitting of various clothing sizes in a virtual space. First, the distance between the shoulder width and height of the clothing in the person image is calculated based on the coordinate information of the key points detected by OpenPose. Then, the system changes the size of only the clothing area of the segmentation map, whose layout is estimated using the size of the person measured in the person image based on the ratio of the person and clothing sizes. If the size of the clothing area increases during the drawing, the details in the collar and overlapping areas are corrected to improve visual appearance.
### A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
- **Authors:** Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14301
- **Pdf link:** https://arxiv.org/pdf/2302.14301
- **Abstract**
The robustness of deep neural networks is usually lacking under adversarial examples, common corruptions, and distribution shifts, which becomes an important research problem in the development of deep learning. Although new deep learning methods and robustness improvement techniques have been constantly proposed, the robustness evaluations of existing methods are often inadequate due to their rapid development, diverse noise patterns, and simple evaluation metrics. Without thorough robustness evaluations, it is hard to understand the advances in the field and identify the effective methods. In this paper, we establish a comprehensive robustness benchmark called \textbf{ARES-Bench} on the image classification task. In our benchmark, we evaluate the robustness of 55 typical deep learning models on ImageNet with diverse architectures (e.g., CNNs, Transformers) and learning algorithms (e.g., normal supervised training, pre-training, adversarial training) under numerous adversarial attacks and out-of-distribution (OOD) datasets. Using robustness curves as the major evaluation criteria, we conduct large-scale experiments and draw several important findings, including: 1) there is an inherent trade-off between adversarial and natural robustness for the same model architecture; 2) adversarial training effectively improves adversarial robustness, especially when performed on Transformer architectures; 3) pre-training significantly improves natural robustness based on more training data or self-supervised learning. Based on ARES-Bench, we further analyze the training tricks in large-scale adversarial training on ImageNet. By designing the training settings accordingly, we achieve the new state-of-the-art adversarial robustness. We have made the benchmarking results and code platform publicly available.
### DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
- **Authors:** Rajiv Kumar, G. Sivakumar
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14533
- **Pdf link:** https://arxiv.org/pdf/2302.14533
- **Abstract**
Requirements of large amounts of data is a difficulty in training many GANs. Data efficient GANs involve fitting a generators continuous target distribution with a limited discrete set of data samples, which is a difficult task. Single image methods have focused on modeling the internal distribution of a single image and generating its samples. While single image methods can synthesize image samples with diversity, they do not model multiple images or capture the inherent relationship possible between two images. Given only a handful of images, we are interested in generating samples and exploiting the commonalities in the input images. In this work, we extend the single-image GAN method to model multiple images for sample synthesis. We modify the discriminator with an auxiliary classifier branch, which helps to generate a wide variety of samples and to classify the input labels. Our Data-Efficient GAN (DEff-GAN) generates excellent results when similarities and correspondences can be drawn between the input images or classes.
### GRAN: Ghost Residual Attention Network for Single Image Super Resolution
- **Authors:** Axi Niu, Pei Wang, Yu Zhu, Jinqiu Sun, Qingsen Yan, Yanning Zhang
- **Subjects:** Computer Vision and Pattern Recognition (cs.CV)
- **Arxiv link:** https://arxiv.org/abs/2302.14557
- **Pdf link:** https://arxiv.org/pdf/2302.14557
- **Abstract**
Recently, many works have designed wider and deeper networks to achieve higher image super-resolution performance. Despite their outstanding performance, they still suffer from high computational resources, preventing them from directly applying to embedded devices. To reduce the computation resources and maintain performance, we propose a novel Ghost Residual Attention Network (GRAN) for efficient super-resolution. This paper introduces Ghost Residual Attention Block (GRAB) groups to overcome the drawbacks of the standard convolutional operation, i.e., redundancy of the intermediate feature. GRAB consists of the Ghost Module and Channel and Spatial Attention Module (CSAM) to alleviate the generation of redundant features. Specifically, Ghost Module can reveal information underlying intrinsic features by employing linear operations to replace the standard convolutions. Reducing redundant features by the Ghost Module, our model decreases memory and computing resource requirements in the network. The CSAM pays more comprehensive attention to where and what the feature extraction is, which is critical to recovering the image details. Experiments conducted on the benchmark datasets demonstrate the superior performance of our method in both qualitative and quantitative. Compared to the baseline models, we achieve higher performance with lower computational resources, whose parameters and FLOPs have decreased by more than ten times.
## Keyword: raw image
There is no result
|
process
|
new submissions for wed mar keyword events learning to estimate two dense depths from lidar and event data authors vincent brebion julien moreau franck davoine subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract event cameras do not produce images but rather a continuous flow of events which encode changes of illumination for each pixel independently and asynchronously while they output temporally rich information they lack any depth information which could facilitate their use with other sensors lidars can provide this depth information but are by nature very sparse which makes the depth to event association more complex furthermore as events represent changes of illumination they might also represent changes of depth associating them with a single depth is therefore inadequate in this work we propose to address these issues by fusing information from an event camera and a lidar using a learning based approach to estimate accurate dense depth maps to solve the potential change of depth problem we propose here to estimate two depth maps at each step one before the events happen and one after the events happen we further propose to use this pair of depths to compute a depth difference for each event to give them more context we train and evaluate our network aled on both synthetic and real driving sequences and show that it is able to predict dense depths with an error reduction of up to compared to the current state of the art we also demonstrate the quality of our depths to event association and the usefulness of the depth difference information finally we release sled a novel synthetic dataset comprising events lidar point clouds rgb images and dense depth maps benchmarking deepart detection authors yabin wang zhiwu huang xiaopeng hong subjects computer vision and pattern recognition cs cv machine learning cs lg arxiv link pdf link abstract deepfake technologies have been blurring the boundaries between the real and unreal likely resulting in malicious events by leveraging newly emerged deepfake technologies deepfake researchers have been making a great upending to create deepfake artworks deeparts which are further closing the gap between reality and fantasy to address potentially appeared ethics questions this paper establishes a deepart detection database dddb that consists of a set of high quality conventional art images conarts and five sets of deepart images generated by five state of the art deepfake models this database enables us to explore once for all deepart detection and continual deepart detection for the two new problems we suggest four benchmark evaluations and four families of solutions on the constructed dddb the comprehensive study demonstrates the effectiveness of the proposed solutions on the established benchmark dataset which is capable of paving a way to more interesting directions of deepart detection the constructed benchmark dataset and the source code will be made publicly available keyword event camera tracking fast by learning slow an event based speed adaptive hand tracker leveraging knowledge in rgb domain authors chuanlin lan ziyuan yin arindam basu rosa h m chan subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract hand tracking methods based on monocular rgb videos are easily affected by motion blur while event camera a sensor with high temporal resolution and dynamic range is naturally suitable for this task with sparse output and low power consumption however obtaining annotations of fast moving hands is difficult for constructing event based hand tracking datasets in this paper we provided an event based speed adaptive hand tracker esaht to solve the hand tracking problem based on event camera we enabled a cnn model trained on a hand tracking dataset with slow motion which enabled the model to leverage the knowledge of rgb based hand tracking solutions to work on fast hand tracking tasks to realize our solution we constructed the first hand tracking dataset captured by an event camera in a real world environment figured out two data augment methods to narrow the domain gap between slow and fast motion data developed a speed adaptive event stream segmentation method to handle hand movements in different moving speeds and introduced a new event to frame representation method adaptive to event streams with different lengths experiments showed that our solution outperformed rgb based as well as previous event based solutions in fast hand tracking tasks and our codes and dataset will be publicly available learning to estimate two dense depths from lidar and event data authors vincent brebion julien moreau franck davoine subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract event cameras do not produce images but rather a continuous flow of events which encode changes of illumination for each pixel independently and asynchronously while they output temporally rich information they lack any depth information which could facilitate their use with other sensors lidars can provide this depth information but are by nature very sparse which makes the depth to event association more complex furthermore as events represent changes of illumination they might also represent changes of depth associating them with a single depth is therefore inadequate in this work we propose to address these issues by fusing information from an event camera and a lidar using a learning based approach to estimate accurate dense depth maps to solve the potential change of depth problem we propose here to estimate two depth maps at each step one before the events happen and one after the events happen we further propose to use this pair of depths to compute a depth difference for each event to give them more context we train and evaluate our network aled on both synthetic and real driving sequences and show that it is able to predict dense depths with an error reduction of up to compared to the current state of the art we also demonstrate the quality of our depths to event association and the usefulness of the depth difference information finally we release sled a novel synthetic dataset comprising events lidar point clouds rgb images and dense depth maps keyword events camera there is no result keyword white balance there is no result keyword color contrast there is no result keyword awb gran ghost residual attention network for single image super resolution authors axi niu pei wang yu zhu jinqiu sun qingsen yan yanning zhang subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract recently many works have designed wider and deeper networks to achieve higher image super resolution performance despite their outstanding performance they still suffer from high computational resources preventing them from directly applying to embedded devices to reduce the computation resources and maintain performance we propose a novel ghost residual attention network gran for efficient super resolution this paper introduces ghost residual attention block grab groups to overcome the drawbacks of the standard convolutional operation i e redundancy of the intermediate feature grab consists of the ghost module and channel and spatial attention module csam to alleviate the generation of redundant features specifically ghost module can reveal information underlying intrinsic features by employing linear operations to replace the standard convolutions reducing redundant features by the ghost module our model decreases memory and computing resource requirements in the network the csam pays more comprehensive attention to where and what the feature extraction is which is critical to recovering the image details experiments conducted on the benchmark datasets demonstrate the superior performance of our method in both qualitative and quantitative compared to the baseline models we achieve higher performance with lower computational resources whose parameters and flops have decreased by more than ten times keyword isp there is no result keyword image signal processing there is no result keyword image signal process there is no result keyword compression backdoor attacks against deep image compression via adaptive frequency trigger authors yi yu yufei wang wenhan yang shijian lu yap peng tan alex c kot subjects computer vision and pattern recognition cs cv cryptography and security cs cr arxiv link pdf link abstract recent deep learning based compression methods have achieved superior performance compared with traditional approaches however deep learning models have proven to be vulnerable to backdoor attacks where some specific trigger patterns added to the input can lead to malicious behavior of the models in this paper we present a novel backdoor attack with multiple triggers against learned image compression models motivated by the widely used discrete cosine transform dct in existing compression systems and standards we propose a frequency based trigger injection model that adds triggers in the dct domain in particular we design several attack objectives for various attacking scenarios including attacking compression quality in terms of bit rate and reconstruction quality attacking task driven measures such as down stream face recognition and semantic segmentation moreover a novel simple dynamic loss is designed to balance the influence of different loss terms adaptively which helps achieve more efficient training extensive experiments show that with our trained trigger injection models and simple modification of encoder parameters of the compression model the proposed attack can successfully inject several backdoors with corresponding triggers in a single image compression model keyword raw image based virtual try on system with clothing size adjustment authors minoru kuribayashi koki nakai nobuo funabiki subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract the conventional image based virtual try on method cannot generate fitting images that correspond to the clothing size because the system cannot accurately reflect the body information of a person in this study an image based virtual try on system that could adjust the clothing size was proposed the size information of the person and clothing were used as the input for the proposed method to visualize the fitting of various clothing sizes in a virtual space first the distance between the shoulder width and height of the clothing in the person image is calculated based on the coordinate information of the key points detected by openpose then the system changes the size of only the clothing area of the segmentation map whose layout is estimated using the size of the person measured in the person image based on the ratio of the person and clothing sizes if the size of the clothing area increases during the drawing the details in the collar and overlapping areas are corrected to improve visual appearance a comprehensive study on robustness of image classification models benchmarking and rethinking authors chang liu yinpeng dong wenzhao xiang xiao yang hang su jun zhu yuefeng chen yuan he hui xue shibao zheng subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract the robustness of deep neural networks is usually lacking under adversarial examples common corruptions and distribution shifts which becomes an important research problem in the development of deep learning although new deep learning methods and robustness improvement techniques have been constantly proposed the robustness evaluations of existing methods are often inadequate due to their rapid development diverse noise patterns and simple evaluation metrics without thorough robustness evaluations it is hard to understand the advances in the field and identify the effective methods in this paper we establish a comprehensive robustness benchmark called textbf ares bench on the image classification task in our benchmark we evaluate the robustness of typical deep learning models on imagenet with diverse architectures e g cnns transformers and learning algorithms e g normal supervised training pre training adversarial training under numerous adversarial attacks and out of distribution ood datasets using robustness curves as the major evaluation criteria we conduct large scale experiments and draw several important findings including there is an inherent trade off between adversarial and natural robustness for the same model architecture adversarial training effectively improves adversarial robustness especially when performed on transformer architectures pre training significantly improves natural robustness based on more training data or self supervised learning based on ares bench we further analyze the training tricks in large scale adversarial training on imagenet by designing the training settings accordingly we achieve the new state of the art adversarial robustness we have made the benchmarking results and code platform publicly available deff gan diverse attribute transfer for few shot image synthesis authors rajiv kumar g sivakumar subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract requirements of large amounts of data is a difficulty in training many gans data efficient gans involve fitting a generators continuous target distribution with a limited discrete set of data samples which is a difficult task single image methods have focused on modeling the internal distribution of a single image and generating its samples while single image methods can synthesize image samples with diversity they do not model multiple images or capture the inherent relationship possible between two images given only a handful of images we are interested in generating samples and exploiting the commonalities in the input images in this work we extend the single image gan method to model multiple images for sample synthesis we modify the discriminator with an auxiliary classifier branch which helps to generate a wide variety of samples and to classify the input labels our data efficient gan deff gan generates excellent results when similarities and correspondences can be drawn between the input images or classes gran ghost residual attention network for single image super resolution authors axi niu pei wang yu zhu jinqiu sun qingsen yan yanning zhang subjects computer vision and pattern recognition cs cv arxiv link pdf link abstract recently many works have designed wider and deeper networks to achieve higher image super resolution performance despite their outstanding performance they still suffer from high computational resources preventing them from directly applying to embedded devices to reduce the computation resources and maintain performance we propose a novel ghost residual attention network gran for efficient super resolution this paper introduces ghost residual attention block grab groups to overcome the drawbacks of the standard convolutional operation i e redundancy of the intermediate feature grab consists of the ghost module and channel and spatial attention module csam to alleviate the generation of redundant features specifically ghost module can reveal information underlying intrinsic features by employing linear operations to replace the standard convolutions reducing redundant features by the ghost module our model decreases memory and computing resource requirements in the network the csam pays more comprehensive attention to where and what the feature extraction is which is critical to recovering the image details experiments conducted on the benchmark datasets demonstrate the superior performance of our method in both qualitative and quantitative compared to the baseline models we achieve higher performance with lower computational resources whose parameters and flops have decreased by more than ten times keyword raw image there is no result
| 1
|
9,626
| 8,056,942,783
|
IssuesEvent
|
2018-08-02 14:08:29
|
trustlines-network/clientlib
|
https://api.github.com/repos/trustlines-network/clientlib
|
closed
|
Automatic publish on npm
|
type:infrastructure
|
For easier access to the library it should be published to npm.
### Tasks
- [ ] Library should be downloadable from npm
- [ ] Automated deploy to npm via travis
|
1.0
|
Automatic publish on npm - For easier access to the library it should be published to npm.
### Tasks
- [ ] Library should be downloadable from npm
- [ ] Automated deploy to npm via travis
|
non_process
|
automatic publish on npm for easier access to the library it should be published to npm tasks library should be downloadable from npm automated deploy to npm via travis
| 0
|
480,556
| 13,853,939,594
|
IssuesEvent
|
2020-10-15 08:50:43
|
grafana/grafana
|
https://api.github.com/repos/grafana/grafana
|
closed
|
prometheus label API request doesn't take auth settings
|
datasource/Prometheus needs more info priority/important-soon
|
**What would you like to be added**:
When configured basic auth and custom query parameters, all requests should use them
for now, queries work as expected, but other apis does not, like `/api/v1/label`
**Why is this needed**:
When put prometheus behind reverse proxy like Nginx, and set some authenticate strategy like basic auth, it means we are care about the data security, so all requests should be authenticated, as well as custom query parameters which may been used for authentication
|
1.0
|
prometheus label API request doesn't take auth settings - **What would you like to be added**:
When configured basic auth and custom query parameters, all requests should use them
for now, queries work as expected, but other apis does not, like `/api/v1/label`
**Why is this needed**:
When put prometheus behind reverse proxy like Nginx, and set some authenticate strategy like basic auth, it means we are care about the data security, so all requests should be authenticated, as well as custom query parameters which may been used for authentication
|
non_process
|
prometheus label api request doesn t take auth settings what would you like to be added when configured basic auth and custom query parameters all requests should use them for now queries work as expected but other apis does not like api label why is this needed when put prometheus behind reverse proxy like nginx and set some authenticate strategy like basic auth it means we are care about the data security so all requests should be authenticated as well as custom query parameters which may been used for authentication
| 0
|
418,862
| 12,214,563,864
|
IssuesEvent
|
2020-05-01 10:19:56
|
ooni/probe-engine
|
https://api.github.com/repos/ooni/probe-engine
|
closed
|
netx: sanitise error strings
|
bug effort/XS ooni/probe-engine priority/high
|
We need to make sure error strings don't contain IP addresses. The easiest way to do that is to borrow the proper regexes from the safelog package in github.com/keroserene/snowflake.
This is part of our ongoing effort to perform testing, find bugs, and increase software quality.
|
1.0
|
netx: sanitise error strings - We need to make sure error strings don't contain IP addresses. The easiest way to do that is to borrow the proper regexes from the safelog package in github.com/keroserene/snowflake.
This is part of our ongoing effort to perform testing, find bugs, and increase software quality.
|
non_process
|
netx sanitise error strings we need to make sure error strings don t contain ip addresses the easiest way to do that is to borrow the proper regexes from the safelog package in github com keroserene snowflake this is part of our ongoing effort to perform testing find bugs and increase software quality
| 0
|
4,633
| 7,479,239,392
|
IssuesEvent
|
2018-04-04 14:07:34
|
peterwebster/henson
|
https://api.github.com/repos/peterwebster/henson
|
closed
|
Stage 5 check for missing ID numbers to write
|
process refinement
|
List (in .txt) all macro threads for KPH and HI to record locally.
Add at Stage 5 a check for <element id="??? where mark up is present but there is a missing ID
|
1.0
|
Stage 5 check for missing ID numbers to write - List (in .txt) all macro threads for KPH and HI to record locally.
Add at Stage 5 a check for <element id="??? where mark up is present but there is a missing ID
|
process
|
stage check for missing id numbers to write list in txt all macro threads for kph and hi to record locally add at stage a check for element id where mark up is present but there is a missing id
| 1
|
18,093
| 24,118,448,641
|
IssuesEvent
|
2022-09-20 16:29:32
|
keras-team/keras-cv
|
https://api.github.com/repos/keras-team/keras-cv
|
closed
|
Add augment_bounding_boxes support to FourierMix layer
|
contribution-welcome preprocessing
|
The augment_bounding_boxes should be implemented for FourierMix Layer in keras_cv. The PR should contain implementation, test scripts and a demo script to verify implementation.
Example code for implementing augment_bounding_boxes() can be found here
- https://github.com/keras-team/keras-cv/blob/master/keras_cv/layers/preprocessing/random_flip.py#:~:text=def%20augment_bounding_boxes(,)%3A
- https://github.com/keras-team/keras-cv/blob/master/keras_cv/layers/preprocessing/random_rotation.py#:~:text=def%20augment_image(self%2C%20image%2C%20transformation%2C%20**kwargs)%3A
- The implementations can be verified using demo utils in keras_cv.bounding_box - Example of demo script can be found here : https://github.com/keras-team/keras-cv/blob/master/examples/layers/preprocessing/bounding_box/random_rotation_demo.py
|
1.0
|
Add augment_bounding_boxes support to FourierMix layer - The augment_bounding_boxes should be implemented for FourierMix Layer in keras_cv. The PR should contain implementation, test scripts and a demo script to verify implementation.
Example code for implementing augment_bounding_boxes() can be found here
- https://github.com/keras-team/keras-cv/blob/master/keras_cv/layers/preprocessing/random_flip.py#:~:text=def%20augment_bounding_boxes(,)%3A
- https://github.com/keras-team/keras-cv/blob/master/keras_cv/layers/preprocessing/random_rotation.py#:~:text=def%20augment_image(self%2C%20image%2C%20transformation%2C%20**kwargs)%3A
- The implementations can be verified using demo utils in keras_cv.bounding_box - Example of demo script can be found here : https://github.com/keras-team/keras-cv/blob/master/examples/layers/preprocessing/bounding_box/random_rotation_demo.py
|
process
|
add augment bounding boxes support to fouriermix layer the augment bounding boxes should be implemented for fouriermix layer in keras cv the pr should contain implementation test scripts and a demo script to verify implementation example code for implementing augment bounding boxes can be found here the implementations can be verified using demo utils in keras cv bounding box example of demo script can be found here
| 1
|
192,073
| 22,215,895,023
|
IssuesEvent
|
2022-06-08 01:34:39
|
panasalap/linux-4.1.15
|
https://api.github.com/repos/panasalap/linux-4.1.15
|
reopened
|
CVE-2022-22764 (High) detected in linuxlinux-4.1.17
|
security vulnerability
|
## CVE-2022-22764 - High Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Library - <b>linuxlinux-4.1.17</b></p></summary>
<p>
<p>Apache Software Foundation (ASF)</p>
<p>Library home page: <a href=https://mirrors.edge.kernel.org/pub/linux/kernel/v4.x/?wsslib=linux>https://mirrors.edge.kernel.org/pub/linux/kernel/v4.x/?wsslib=linux</a></p>
<p>Found in HEAD commit: <a href="https://github.com/panasalap/linux-4.1.15/commit/aae4c2fa46027fd4c477372871df090c6b94f3f1">aae4c2fa46027fd4c477372871df090c6b94f3f1</a></p>
<p>Found in base branch: <b>master</b></p></p>
</details>
</p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Source Files (1)</summary>
<p></p>
<p>
<img src='https://s3.amazonaws.com/wss-public/bitbucketImages/xRedImage.png' width=19 height=20> <b>/net/tipc/link.c</b>
</p>
</details>
<p></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/high_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
Mozilla developers Paul Adenot and the Mozilla Fuzzing Team reported memory safety bugs present in Firefox 96 and Firefox ESR 91.5. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code.
<p>Publish Date: 2022-01-07
<p>URL: <a href=https://vuln.whitesourcesoftware.com/vulnerability/CVE-2022-22764>CVE-2022-22764</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>7.5</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://nvd.nist.gov/vuln/detail/CVE-2022-22764">https://nvd.nist.gov/vuln/detail/CVE-2022-22764</a></p>
<p>Release Date: 2022-01-07</p>
<p>Fix Resolution: linux-libc-headers - 5.14;linux-yocto - 5.4.20+gitAUTOINC+c11911d4d1_f4d7dbafb1,4.8.26+gitAUTOINC+1c60e003c7_27efc3ba68</p>
</p>
</details>
<p></p>
***
Step up your Open Source Security Game with WhiteSource [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
|
True
|
CVE-2022-22764 (High) detected in linuxlinux-4.1.17 - ## CVE-2022-22764 - High Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Library - <b>linuxlinux-4.1.17</b></p></summary>
<p>
<p>Apache Software Foundation (ASF)</p>
<p>Library home page: <a href=https://mirrors.edge.kernel.org/pub/linux/kernel/v4.x/?wsslib=linux>https://mirrors.edge.kernel.org/pub/linux/kernel/v4.x/?wsslib=linux</a></p>
<p>Found in HEAD commit: <a href="https://github.com/panasalap/linux-4.1.15/commit/aae4c2fa46027fd4c477372871df090c6b94f3f1">aae4c2fa46027fd4c477372871df090c6b94f3f1</a></p>
<p>Found in base branch: <b>master</b></p></p>
</details>
</p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Source Files (1)</summary>
<p></p>
<p>
<img src='https://s3.amazonaws.com/wss-public/bitbucketImages/xRedImage.png' width=19 height=20> <b>/net/tipc/link.c</b>
</p>
</details>
<p></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/high_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
Mozilla developers Paul Adenot and the Mozilla Fuzzing Team reported memory safety bugs present in Firefox 96 and Firefox ESR 91.5. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code.
<p>Publish Date: 2022-01-07
<p>URL: <a href=https://vuln.whitesourcesoftware.com/vulnerability/CVE-2022-22764>CVE-2022-22764</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>7.5</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://nvd.nist.gov/vuln/detail/CVE-2022-22764">https://nvd.nist.gov/vuln/detail/CVE-2022-22764</a></p>
<p>Release Date: 2022-01-07</p>
<p>Fix Resolution: linux-libc-headers - 5.14;linux-yocto - 5.4.20+gitAUTOINC+c11911d4d1_f4d7dbafb1,4.8.26+gitAUTOINC+1c60e003c7_27efc3ba68</p>
</p>
</details>
<p></p>
***
Step up your Open Source Security Game with WhiteSource [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
|
non_process
|
cve high detected in linuxlinux cve high severity vulnerability vulnerable library linuxlinux apache software foundation asf library home page a href found in head commit a href found in base branch master vulnerable source files net tipc link c vulnerability details mozilla developers paul adenot and the mozilla fuzzing team reported memory safety bugs present in firefox and firefox esr some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code publish date url a href cvss score details base score metrics exploitability metrics attack vector network attack complexity high privileges required none user interaction required scope unchanged impact metrics confidentiality impact high integrity impact high availability impact high for more information on scores click a href suggested fix type upgrade version origin a href release date fix resolution linux libc headers linux yocto gitautoinc gitautoinc step up your open source security game with whitesource
| 0
|
166,017
| 20,711,378,227
|
IssuesEvent
|
2022-03-12 01:14:12
|
snowflakedb/snowflake-jdbc
|
https://api.github.com/repos/snowflakedb/snowflake-jdbc
|
closed
|
SNOW-558874: WS-2021-0616 (Medium) detected in jackson-databind-2.12.1.jar, jackson-core-2.12.1.jar - autoclosed
|
security vulnerability
|
## WS-2021-0616 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>jackson-databind-2.12.1.jar</b>, <b>jackson-core-2.12.1.jar</b></p></summary>
<p>
<details><summary><b>jackson-databind-2.12.1.jar</b></p></summary>
<p>General data-binding functionality for Jackson: works on core streaming API</p>
<p>Library home page: <a href="http://github.com/FasterXML/jackson">http://github.com/FasterXML/jackson</a></p>
<p>Path to dependency file: /public_pom.xml</p>
<p>Path to vulnerable library: /sitory/com/fasterxml/jackson/core/jackson-databind/2.12.1/jackson-databind-2.12.1.jar</p>
<p>
Dependency Hierarchy:
- :x: **jackson-databind-2.12.1.jar** (Vulnerable Library)
</details>
<details><summary><b>jackson-core-2.12.1.jar</b></p></summary>
<p>Core Jackson processing abstractions (aka Streaming API), implementation for JSON</p>
<p>Library home page: <a href="https://github.com/FasterXML/jackson-core">https://github.com/FasterXML/jackson-core</a></p>
<p>Path to dependency file: /public_pom.xml</p>
<p>Path to vulnerable library: /sitory/com/fasterxml/jackson/core/jackson-core/2.12.1/jackson-core-2.12.1.jar</p>
<p>
Dependency Hierarchy:
- :x: **jackson-core-2.12.1.jar** (Vulnerable Library)
</details>
<p>Found in HEAD commit: <a href="https://github.com/snowflakedb/snowflake-jdbc/commit/8560bcca9d395d1ee02123536c2e958f7d386fe0">8560bcca9d395d1ee02123536c2e958f7d386fe0</a></p>
<p>Found in base branch: <b>master</b></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
FasterXML jackson-databind before 2.12.6 and 2.13.1 there is DoS when using JDK serialization to serialize JsonNode.
<p>Publish Date: 2021-11-20
<p>URL: <a href=https://github.com/FasterXML/jackson-databind/commit/3ccde7d938fea547e598fdefe9a82cff37fed5cb>WS-2021-0616</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>5.9</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://github.com/FasterXML/jackson-databind/issues/3328">https://github.com/FasterXML/jackson-databind/issues/3328</a></p>
<p>Release Date: 2021-11-20</p>
<p>Fix Resolution: com.fasterxml.jackson.core:jackson-databind:2.12.6, 2.13.1; com.fasterxml.jackson.core:jackson-core:2.12.6, 2.13.1</p>
</p>
</details>
<p></p>
<!-- <REMEDIATE>{"isOpenPROnVulnerability":true,"isPackageBased":true,"isDefaultBranch":true,"packages":[{"packageType":"Java","groupId":"com.fasterxml.jackson.core","packageName":"jackson-databind","packageVersion":"2.12.1","packageFilePaths":["/public_pom.xml"],"isTransitiveDependency":false,"dependencyTree":"com.fasterxml.jackson.core:jackson-databind:2.12.1","isMinimumFixVersionAvailable":true,"minimumFixVersion":"com.fasterxml.jackson.core:jackson-databind:2.12.6, 2.13.1; com.fasterxml.jackson.core:jackson-core:2.12.6, 2.13.1","isBinary":false},{"packageType":"Java","groupId":"com.fasterxml.jackson.core","packageName":"jackson-core","packageVersion":"2.12.1","packageFilePaths":["/public_pom.xml"],"isTransitiveDependency":false,"dependencyTree":"com.fasterxml.jackson.core:jackson-core:2.12.1","isMinimumFixVersionAvailable":true,"minimumFixVersion":"com.fasterxml.jackson.core:jackson-databind:2.12.6, 2.13.1; com.fasterxml.jackson.core:jackson-core:2.12.6, 2.13.1","isBinary":false}],"baseBranches":["master"],"vulnerabilityIdentifier":"WS-2021-0616","vulnerabilityDetails":"FasterXML jackson-databind before 2.12.6 and 2.13.1 there is DoS when using JDK serialization to serialize JsonNode.","vulnerabilityUrl":"https://github.com/FasterXML/jackson-databind/commit/3ccde7d938fea547e598fdefe9a82cff37fed5cb","cvss3Severity":"medium","cvss3Score":"5.9","cvss3Metrics":{"A":"High","AC":"High","PR":"None","S":"Unchanged","C":"None","UI":"None","AV":"Network","I":"None"},"extraData":{}}</REMEDIATE> -->
|
True
|
SNOW-558874: WS-2021-0616 (Medium) detected in jackson-databind-2.12.1.jar, jackson-core-2.12.1.jar - autoclosed - ## WS-2021-0616 - Medium Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>jackson-databind-2.12.1.jar</b>, <b>jackson-core-2.12.1.jar</b></p></summary>
<p>
<details><summary><b>jackson-databind-2.12.1.jar</b></p></summary>
<p>General data-binding functionality for Jackson: works on core streaming API</p>
<p>Library home page: <a href="http://github.com/FasterXML/jackson">http://github.com/FasterXML/jackson</a></p>
<p>Path to dependency file: /public_pom.xml</p>
<p>Path to vulnerable library: /sitory/com/fasterxml/jackson/core/jackson-databind/2.12.1/jackson-databind-2.12.1.jar</p>
<p>
Dependency Hierarchy:
- :x: **jackson-databind-2.12.1.jar** (Vulnerable Library)
</details>
<details><summary><b>jackson-core-2.12.1.jar</b></p></summary>
<p>Core Jackson processing abstractions (aka Streaming API), implementation for JSON</p>
<p>Library home page: <a href="https://github.com/FasterXML/jackson-core">https://github.com/FasterXML/jackson-core</a></p>
<p>Path to dependency file: /public_pom.xml</p>
<p>Path to vulnerable library: /sitory/com/fasterxml/jackson/core/jackson-core/2.12.1/jackson-core-2.12.1.jar</p>
<p>
Dependency Hierarchy:
- :x: **jackson-core-2.12.1.jar** (Vulnerable Library)
</details>
<p>Found in HEAD commit: <a href="https://github.com/snowflakedb/snowflake-jdbc/commit/8560bcca9d395d1ee02123536c2e958f7d386fe0">8560bcca9d395d1ee02123536c2e958f7d386fe0</a></p>
<p>Found in base branch: <b>master</b></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/medium_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
FasterXML jackson-databind before 2.12.6 and 2.13.1 there is DoS when using JDK serialization to serialize JsonNode.
<p>Publish Date: 2021-11-20
<p>URL: <a href=https://github.com/FasterXML/jackson-databind/commit/3ccde7d938fea547e598fdefe9a82cff37fed5cb>WS-2021-0616</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>5.9</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: High
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: None
- Integrity Impact: None
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://github.com/FasterXML/jackson-databind/issues/3328">https://github.com/FasterXML/jackson-databind/issues/3328</a></p>
<p>Release Date: 2021-11-20</p>
<p>Fix Resolution: com.fasterxml.jackson.core:jackson-databind:2.12.6, 2.13.1; com.fasterxml.jackson.core:jackson-core:2.12.6, 2.13.1</p>
</p>
</details>
<p></p>
<!-- <REMEDIATE>{"isOpenPROnVulnerability":true,"isPackageBased":true,"isDefaultBranch":true,"packages":[{"packageType":"Java","groupId":"com.fasterxml.jackson.core","packageName":"jackson-databind","packageVersion":"2.12.1","packageFilePaths":["/public_pom.xml"],"isTransitiveDependency":false,"dependencyTree":"com.fasterxml.jackson.core:jackson-databind:2.12.1","isMinimumFixVersionAvailable":true,"minimumFixVersion":"com.fasterxml.jackson.core:jackson-databind:2.12.6, 2.13.1; com.fasterxml.jackson.core:jackson-core:2.12.6, 2.13.1","isBinary":false},{"packageType":"Java","groupId":"com.fasterxml.jackson.core","packageName":"jackson-core","packageVersion":"2.12.1","packageFilePaths":["/public_pom.xml"],"isTransitiveDependency":false,"dependencyTree":"com.fasterxml.jackson.core:jackson-core:2.12.1","isMinimumFixVersionAvailable":true,"minimumFixVersion":"com.fasterxml.jackson.core:jackson-databind:2.12.6, 2.13.1; com.fasterxml.jackson.core:jackson-core:2.12.6, 2.13.1","isBinary":false}],"baseBranches":["master"],"vulnerabilityIdentifier":"WS-2021-0616","vulnerabilityDetails":"FasterXML jackson-databind before 2.12.6 and 2.13.1 there is DoS when using JDK serialization to serialize JsonNode.","vulnerabilityUrl":"https://github.com/FasterXML/jackson-databind/commit/3ccde7d938fea547e598fdefe9a82cff37fed5cb","cvss3Severity":"medium","cvss3Score":"5.9","cvss3Metrics":{"A":"High","AC":"High","PR":"None","S":"Unchanged","C":"None","UI":"None","AV":"Network","I":"None"},"extraData":{}}</REMEDIATE> -->
|
non_process
|
snow ws medium detected in jackson databind jar jackson core jar autoclosed ws medium severity vulnerability vulnerable libraries jackson databind jar jackson core jar jackson databind jar general data binding functionality for jackson works on core streaming api library home page a href path to dependency file public pom xml path to vulnerable library sitory com fasterxml jackson core jackson databind jackson databind jar dependency hierarchy x jackson databind jar vulnerable library jackson core jar core jackson processing abstractions aka streaming api implementation for json library home page a href path to dependency file public pom xml path to vulnerable library sitory com fasterxml jackson core jackson core jackson core jar dependency hierarchy x jackson core jar vulnerable library found in head commit a href found in base branch master vulnerability details fasterxml jackson databind before and there is dos when using jdk serialization to serialize jsonnode publish date url a href cvss score details base score metrics exploitability metrics attack vector network attack complexity high privileges required none user interaction none scope unchanged impact metrics confidentiality impact none integrity impact none availability impact high for more information on scores click a href suggested fix type upgrade version origin a href release date fix resolution com fasterxml jackson core jackson databind com fasterxml jackson core jackson core isopenpronvulnerability true ispackagebased true isdefaultbranch true packages istransitivedependency false dependencytree com fasterxml jackson core jackson databind isminimumfixversionavailable true minimumfixversion com fasterxml jackson core jackson databind com fasterxml jackson core jackson core isbinary false packagetype java groupid com fasterxml jackson core packagename jackson core packageversion packagefilepaths istransitivedependency false dependencytree com fasterxml jackson core jackson core isminimumfixversionavailable true minimumfixversion com fasterxml jackson core jackson databind com fasterxml jackson core jackson core isbinary false basebranches vulnerabilityidentifier ws vulnerabilitydetails fasterxml jackson databind before and there is dos when using jdk serialization to serialize jsonnode vulnerabilityurl
| 0
|
665,894
| 22,334,196,380
|
IssuesEvent
|
2022-06-14 16:57:16
|
cert-manager/cert-manager
|
https://api.github.com/repos/cert-manager/cert-manager
|
closed
|
ServiceMonitor not working
|
kind/bug priority/important-soon
|
<!--
Bugs should be filed for issues encountered whilst operating cert-manager.
You should first attempt to resolve your issues through the community support
channels, e.g. Slack, in order to rule out individual configuration errors.
Please provide as much detail as possible.
-->
**Describe the bug**:
`ServiceMonitor` is not getting created. Reason is capabilities check in the resource definition here:
https://github.com/cert-manager/cert-manager/blob/d53c0b9270f8cd90d908460d69502694e1838f5f/deploy/charts/cert-manager/templates/servicemonitor.yaml#L1
Issue is capabilities can only be checked during `helm install` and if using `helm template` to generate manifests that are applied, as we are doing with Argo plugin, `ServiceMonitor` will never get created.
Can we remove this check and leave it as:
```
{{- if and .Values.prometheus.enabled .Values.prometheus.servicemonitor.enabled }}
```
**Expected behaviour**:
<!--A concise description of what you expected to happen.-->
`prometheus.enabled: true` and `prometheus.servicemonitor.enabled: true` creates `ServiceMonitor`.
**Steps to reproduce the bug**:
<!--Steps to reproduce the bug should be clear and easily reproducible to help people
gain an understanding of the problem.-->
Run `helm template` with `prometheus.enabled: true` and `prometheus.servicemonitor.enabled: true`.
**Anything else we need to know?**:
**Environment details:**:
- Kubernetes version:
- Cloud-provider/provisioner:
- cert-manager version:
- Install method: e.g. helm/static manifests
/kind bug
|
1.0
|
ServiceMonitor not working - <!--
Bugs should be filed for issues encountered whilst operating cert-manager.
You should first attempt to resolve your issues through the community support
channels, e.g. Slack, in order to rule out individual configuration errors.
Please provide as much detail as possible.
-->
**Describe the bug**:
`ServiceMonitor` is not getting created. Reason is capabilities check in the resource definition here:
https://github.com/cert-manager/cert-manager/blob/d53c0b9270f8cd90d908460d69502694e1838f5f/deploy/charts/cert-manager/templates/servicemonitor.yaml#L1
Issue is capabilities can only be checked during `helm install` and if using `helm template` to generate manifests that are applied, as we are doing with Argo plugin, `ServiceMonitor` will never get created.
Can we remove this check and leave it as:
```
{{- if and .Values.prometheus.enabled .Values.prometheus.servicemonitor.enabled }}
```
**Expected behaviour**:
<!--A concise description of what you expected to happen.-->
`prometheus.enabled: true` and `prometheus.servicemonitor.enabled: true` creates `ServiceMonitor`.
**Steps to reproduce the bug**:
<!--Steps to reproduce the bug should be clear and easily reproducible to help people
gain an understanding of the problem.-->
Run `helm template` with `prometheus.enabled: true` and `prometheus.servicemonitor.enabled: true`.
**Anything else we need to know?**:
**Environment details:**:
- Kubernetes version:
- Cloud-provider/provisioner:
- cert-manager version:
- Install method: e.g. helm/static manifests
/kind bug
|
non_process
|
servicemonitor not working bugs should be filed for issues encountered whilst operating cert manager you should first attempt to resolve your issues through the community support channels e g slack in order to rule out individual configuration errors please provide as much detail as possible describe the bug servicemonitor is not getting created reason is capabilities check in the resource definition here issue is capabilities can only be checked during helm install and if using helm template to generate manifests that are applied as we are doing with argo plugin servicemonitor will never get created can we remove this check and leave it as if and values prometheus enabled values prometheus servicemonitor enabled expected behaviour prometheus enabled true and prometheus servicemonitor enabled true creates servicemonitor steps to reproduce the bug steps to reproduce the bug should be clear and easily reproducible to help people gain an understanding of the problem run helm template with prometheus enabled true and prometheus servicemonitor enabled true anything else we need to know environment details kubernetes version cloud provider provisioner cert manager version install method e g helm static manifests kind bug
| 0
|
25,316
| 7,680,264,283
|
IssuesEvent
|
2018-05-16 00:32:44
|
lightningnetwork/lnd
|
https://api.github.com/repos/lightningnetwork/lnd
|
opened
|
chains: move ltc support and all future alt-chains behind a build flag
|
advanced cross-chain golang/build system intermediate
|
`lnd` currently supports both BTC and LTC, and there're plans to refactor the chain selection in the future in order to allow developers of other chains to add arbitrary chains in the future. However, in order to achieve this, we'll need to move to a more "plug in" oriented system where in the chain implementations are actually _external_ to `lnd` itself, and are instead constructed at "run time".
With the current implementation, although only BTC is used primarily, we're still forced to always pull and and compile `ltcsuite` as well. This adds to the size of the binary, and also slows down compilation times a bit. We should move to instead guard all the LTC support behind a new _build_ flag (`-tags=ltc`). The major release of `lnd` will be compiled with this flag active, but the existence fo the flag means that developers creating specialized deployments can opt out.
# Steps To Completion
- [ ] Split the current [`chainparams.go`](https://github.com/lightningnetwork/lnd/blob/master/chainparams.go) file into two distinct files. The LTC file [should be guarded with a build flag](https://dave.cheney.net/2013/10/12/how-to-use-conditional-compilation-with-the-go-build-tool) such that it's only compiled with the tag active.
- [ ] Elements of [`chainregistry.go`](https://github.com/lightningnetwork/lnd/blob/master/chainregistry.go) should also be extracted into individual files with build flags guarding their compilation as needed.
|
1.0
|
chains: move ltc support and all future alt-chains behind a build flag - `lnd` currently supports both BTC and LTC, and there're plans to refactor the chain selection in the future in order to allow developers of other chains to add arbitrary chains in the future. However, in order to achieve this, we'll need to move to a more "plug in" oriented system where in the chain implementations are actually _external_ to `lnd` itself, and are instead constructed at "run time".
With the current implementation, although only BTC is used primarily, we're still forced to always pull and and compile `ltcsuite` as well. This adds to the size of the binary, and also slows down compilation times a bit. We should move to instead guard all the LTC support behind a new _build_ flag (`-tags=ltc`). The major release of `lnd` will be compiled with this flag active, but the existence fo the flag means that developers creating specialized deployments can opt out.
# Steps To Completion
- [ ] Split the current [`chainparams.go`](https://github.com/lightningnetwork/lnd/blob/master/chainparams.go) file into two distinct files. The LTC file [should be guarded with a build flag](https://dave.cheney.net/2013/10/12/how-to-use-conditional-compilation-with-the-go-build-tool) such that it's only compiled with the tag active.
- [ ] Elements of [`chainregistry.go`](https://github.com/lightningnetwork/lnd/blob/master/chainregistry.go) should also be extracted into individual files with build flags guarding their compilation as needed.
|
non_process
|
chains move ltc support and all future alt chains behind a build flag lnd currently supports both btc and ltc and there re plans to refactor the chain selection in the future in order to allow developers of other chains to add arbitrary chains in the future however in order to achieve this we ll need to move to a more plug in oriented system where in the chain implementations are actually external to lnd itself and are instead constructed at run time with the current implementation although only btc is used primarily we re still forced to always pull and and compile ltcsuite as well this adds to the size of the binary and also slows down compilation times a bit we should move to instead guard all the ltc support behind a new build flag tags ltc the major release of lnd will be compiled with this flag active but the existence fo the flag means that developers creating specialized deployments can opt out steps to completion split the current file into two distinct files the ltc file such that it s only compiled with the tag active elements of should also be extracted into individual files with build flags guarding their compilation as needed
| 0
|
7,448
| 10,555,475,751
|
IssuesEvent
|
2019-10-03 21:59:35
|
Stephan-S/FS19_AutoDrive
|
https://api.github.com/repos/Stephan-S/FS19_AutoDrive
|
closed
|
Upload not work...
|
Delayed processing bug
|
Hi @Stephan-S I know or imagine you have lots to do but I would help your AD work very well, so what I report I tried many many times is
To client of course:
```
2019-05-22 17:14 User is no admin and is not allowed to upload course <- then login ok
2019-05-22 17:15 User is admin and allowed to upload course
2019-05-22 17:17 User is admin and allowed to upload course
```
I have access to dedicated FTP server that why I see nothing upload go nowhere too.
Br
|
1.0
|
Upload not work... - Hi @Stephan-S I know or imagine you have lots to do but I would help your AD work very well, so what I report I tried many many times is
To client of course:
```
2019-05-22 17:14 User is no admin and is not allowed to upload course <- then login ok
2019-05-22 17:15 User is admin and allowed to upload course
2019-05-22 17:17 User is admin and allowed to upload course
```
I have access to dedicated FTP server that why I see nothing upload go nowhere too.
Br
|
process
|
upload not work hi stephan s i know or imagine you have lots to do but i would help your ad work very well so what i report i tried many many times is to client of course user is no admin and is not allowed to upload course then login ok user is admin and allowed to upload course user is admin and allowed to upload course i have access to dedicated ftp server that why i see nothing upload go nowhere too br
| 1
|
1,027
| 3,487,524,770
|
IssuesEvent
|
2016-01-02 00:33:53
|
t3kt/vjzual2
|
https://api.github.com/repos/t3kt/vjzual2
|
closed
|
kaleidoscope shader isn't what it should be
|
bug video processing
|
not sure what exactly is wrong, but the way it segments things seems not to match other examples of kaleidoscope effects (e.g. in resolume)
|
1.0
|
kaleidoscope shader isn't what it should be - not sure what exactly is wrong, but the way it segments things seems not to match other examples of kaleidoscope effects (e.g. in resolume)
|
process
|
kaleidoscope shader isn t what it should be not sure what exactly is wrong but the way it segments things seems not to match other examples of kaleidoscope effects e g in resolume
| 1
|
3,665
| 6,694,822,152
|
IssuesEvent
|
2017-10-10 04:45:40
|
york-region-tpss/stp
|
https://api.github.com/repos/york-region-tpss/stp
|
opened
|
View Watering Assignments - Contractor Version Download
|
enhancement process workflow
|
Create contractor version excel download for each watering assignment.
|
1.0
|
View Watering Assignments - Contractor Version Download - Create contractor version excel download for each watering assignment.
|
process
|
view watering assignments contractor version download create contractor version excel download for each watering assignment
| 1
|
666,502
| 22,357,774,032
|
IssuesEvent
|
2022-06-15 17:14:34
|
googleapis/google-api-go-client
|
https://api.github.com/repos/googleapis/google-api-go-client
|
closed
|
Implement Retryable interface for token endpoint requests
|
type: feature request priority: p3
|
Currently, clients do not have a good way to distinguish retryable errors and implement custom retry strategies. Sometimes this causes infinite retries like here: https://github.com/nwbirnie/gapic-oauth-invalid-hangs. Please prioritize the fix if similar infinite retry is repro here as well. Per [this](https://github.com/golang/oauth2/issues/264) it seems like the case.
More details in the doc: go/auth-correct-retry
|
1.0
|
Implement Retryable interface for token endpoint requests - Currently, clients do not have a good way to distinguish retryable errors and implement custom retry strategies. Sometimes this causes infinite retries like here: https://github.com/nwbirnie/gapic-oauth-invalid-hangs. Please prioritize the fix if similar infinite retry is repro here as well. Per [this](https://github.com/golang/oauth2/issues/264) it seems like the case.
More details in the doc: go/auth-correct-retry
|
non_process
|
implement retryable interface for token endpoint requests currently clients do not have a good way to distinguish retryable errors and implement custom retry strategies sometimes this causes infinite retries like here please prioritize the fix if similar infinite retry is repro here as well per it seems like the case more details in the doc go auth correct retry
| 0
|
29,706
| 2,716,820,171
|
IssuesEvent
|
2015-04-10 21:37:22
|
nickpaventi/culligan-diy
|
https://api.github.com/repos/nickpaventi/culligan-diy
|
closed
|
Find a Retailer: Opening copy needs ``<p>``
|
Low Priority
|
Opening copy needs to be wrapped in ``<p></p>`` so it assumes the right styles
|
1.0
|
Find a Retailer: Opening copy needs ``<p>`` - Opening copy needs to be wrapped in ``<p></p>`` so it assumes the right styles
|
non_process
|
find a retailer opening copy needs opening copy needs to be wrapped in so it assumes the right styles
| 0
|
8,966
| 12,070,182,240
|
IssuesEvent
|
2020-04-16 17:13:11
|
googleapis/google-cloud-cpp
|
https://api.github.com/repos/googleapis/google-cloud-cpp
|
closed
|
speed up `Verify Formatting` step
|
type: process
|
When I run `./ci/kokoro/docker/build.sh clang-tidy`) on my workstation, the `Verify formatting` step takes ~45 seconds even with only a few files modified. Investigate whether we can speed this up (does it/could it format changed files only?)
|
1.0
|
speed up `Verify Formatting` step - When I run `./ci/kokoro/docker/build.sh clang-tidy`) on my workstation, the `Verify formatting` step takes ~45 seconds even with only a few files modified. Investigate whether we can speed this up (does it/could it format changed files only?)
|
process
|
speed up verify formatting step when i run ci kokoro docker build sh clang tidy on my workstation the verify formatting step takes seconds even with only a few files modified investigate whether we can speed this up does it could it format changed files only
| 1
|
287
| 2,725,473,532
|
IssuesEvent
|
2015-04-15 00:33:45
|
neuropoly/spinalcordtoolbox
|
https://api.github.com/repos/neuropoly/spinalcordtoolbox
|
closed
|
batch_processing: problem with sct_process_segmentation
|
bug priority: high sct_process_segmentation
|
data:
sct_example_data/fmri
syntax:
~~~~
sct_process_segmentation -i t2_seg_reg.nii.gz -p centerline
~~~~
error:
~~~~
Fitting centerline using B-spline approximation...
Traceback (most recent call last):
File "/Users/julien/code/spinalcordtoolbox/bin/sct_process_segmentation", line 859, in <module>
main()
File "/Users/julien/code/spinalcordtoolbox/bin/sct_process_segmentation", line 164, in main
fname_output = extract_centerline(fname_segmentation, param, remove_temp_files)
File "/Users/julien/code/spinalcordtoolbox/bin/sct_process_segmentation", line 281, in extract_centerline
x_centerline_fit, y_centerline_fit, z_centerline_fit, x_centerline_deriv,y_centerline_deriv,z_centerline_deriv = smooth_centerline(fname_segmentation_orient, param, 1)
File "/Users/julien/code/spinalcordtoolbox/scripts/sct_straighten_spinalcord.py", line 651, in smooth_centerline
x_centerline_fit, y_centerline_fit, z_centerline_fit, x_centerline_deriv, y_centerline_deriv, z_centerline_deriv = b_spline_nurbs(x_centerline, y_centerline, z_centerline, nbControl=None, verbose=verbose)
File "/Users/julien/code/spinalcordtoolbox/scripts/msct_smooth.py", line 269, in b_spline_nurbs
nurbs = NURBS(degree, point_number, data, False, nbControl, verbose)
File "/Users/julien/code/spinalcordtoolbox/scripts/msct_nurbs.py", line 162, in __init__
self.courbe3D, self.courbe3D_deriv = self.construct3D(self.pointsControle, self.degre, self.precision) # generate curve with hig resolution
File "/Users/julien/code/spinalcordtoolbox/scripts/msct_nurbs.py", line 299, in construct3D
fin = debut+k-1
UnboundLocalError: local variable 'debut' referenced before assignment
~~~~
|
1.0
|
batch_processing: problem with sct_process_segmentation - data:
sct_example_data/fmri
syntax:
~~~~
sct_process_segmentation -i t2_seg_reg.nii.gz -p centerline
~~~~
error:
~~~~
Fitting centerline using B-spline approximation...
Traceback (most recent call last):
File "/Users/julien/code/spinalcordtoolbox/bin/sct_process_segmentation", line 859, in <module>
main()
File "/Users/julien/code/spinalcordtoolbox/bin/sct_process_segmentation", line 164, in main
fname_output = extract_centerline(fname_segmentation, param, remove_temp_files)
File "/Users/julien/code/spinalcordtoolbox/bin/sct_process_segmentation", line 281, in extract_centerline
x_centerline_fit, y_centerline_fit, z_centerline_fit, x_centerline_deriv,y_centerline_deriv,z_centerline_deriv = smooth_centerline(fname_segmentation_orient, param, 1)
File "/Users/julien/code/spinalcordtoolbox/scripts/sct_straighten_spinalcord.py", line 651, in smooth_centerline
x_centerline_fit, y_centerline_fit, z_centerline_fit, x_centerline_deriv, y_centerline_deriv, z_centerline_deriv = b_spline_nurbs(x_centerline, y_centerline, z_centerline, nbControl=None, verbose=verbose)
File "/Users/julien/code/spinalcordtoolbox/scripts/msct_smooth.py", line 269, in b_spline_nurbs
nurbs = NURBS(degree, point_number, data, False, nbControl, verbose)
File "/Users/julien/code/spinalcordtoolbox/scripts/msct_nurbs.py", line 162, in __init__
self.courbe3D, self.courbe3D_deriv = self.construct3D(self.pointsControle, self.degre, self.precision) # generate curve with hig resolution
File "/Users/julien/code/spinalcordtoolbox/scripts/msct_nurbs.py", line 299, in construct3D
fin = debut+k-1
UnboundLocalError: local variable 'debut' referenced before assignment
~~~~
|
process
|
batch processing problem with sct process segmentation data sct example data fmri syntax sct process segmentation i seg reg nii gz p centerline error fitting centerline using b spline approximation traceback most recent call last file users julien code spinalcordtoolbox bin sct process segmentation line in main file users julien code spinalcordtoolbox bin sct process segmentation line in main fname output extract centerline fname segmentation param remove temp files file users julien code spinalcordtoolbox bin sct process segmentation line in extract centerline x centerline fit y centerline fit z centerline fit x centerline deriv y centerline deriv z centerline deriv smooth centerline fname segmentation orient param file users julien code spinalcordtoolbox scripts sct straighten spinalcord py line in smooth centerline x centerline fit y centerline fit z centerline fit x centerline deriv y centerline deriv z centerline deriv b spline nurbs x centerline y centerline z centerline nbcontrol none verbose verbose file users julien code spinalcordtoolbox scripts msct smooth py line in b spline nurbs nurbs nurbs degree point number data false nbcontrol verbose file users julien code spinalcordtoolbox scripts msct nurbs py line in init self self deriv self self pointscontrole self degre self precision generate curve with hig resolution file users julien code spinalcordtoolbox scripts msct nurbs py line in fin debut k unboundlocalerror local variable debut referenced before assignment
| 1
|
196,193
| 6,925,723,760
|
IssuesEvent
|
2017-11-30 16:45:44
|
AIE-2017-Yr1-Group1/cultist-game
|
https://api.github.com/repos/AIE-2017-Yr1-Group1/cultist-game
|
closed
|
Disable Cultist alert sounds on intro Cultists
|
bug priority-1
|
It doesn't make sense for all 5 of them to make their alert sound after staring at you for two minutes. Plus it sounds super weird. :D
|
1.0
|
Disable Cultist alert sounds on intro Cultists - It doesn't make sense for all 5 of them to make their alert sound after staring at you for two minutes. Plus it sounds super weird. :D
|
non_process
|
disable cultist alert sounds on intro cultists it doesn t make sense for all of them to make their alert sound after staring at you for two minutes plus it sounds super weird d
| 0
|
34,643
| 4,559,131,998
|
IssuesEvent
|
2016-09-14 00:26:10
|
SSgoldwater/GoldwaterIO
|
https://api.github.com/repos/SSgoldwater/GoldwaterIO
|
opened
|
Design search selection page
|
Design
|
When a user searches if they are already on a page, it will simply filter their current page. If they search on the homepage, there needs to be a way to select which category result list they want to view
|
1.0
|
Design search selection page - When a user searches if they are already on a page, it will simply filter their current page. If they search on the homepage, there needs to be a way to select which category result list they want to view
|
non_process
|
design search selection page when a user searches if they are already on a page it will simply filter their current page if they search on the homepage there needs to be a way to select which category result list they want to view
| 0
|
9,690
| 12,691,749,409
|
IssuesEvent
|
2020-06-21 18:40:08
|
Ultimate-Hosts-Blacklist/whitelist
|
https://api.github.com/repos/Ultimate-Hosts-Blacklist/whitelist
|
closed
|
[FALSE-POSITIVE?] - MaxMind
|
upstream issue whitelisting process
|
**Domains or links**
maxmind.com
dev.maxmind.com
support.maxmind.com
**More Information**
Updating suricata config to download maxmind db and discovered it's blocked.
**Have you requested removal from other sources?**
No
**Additional context**
maxmind DB is a commercial database of geolocations for IPs for use with anti-fraud, anti-spam, etc tooling.
:exclamation:
We understand being listed on a list like this can be frustrating and embarrassing for many web site owners. The first step is to remain calm. The second step is to rest assured one of our maintainers will address your issue as soon as possible. Please make sure you have provided as much information as possible to help speed up the process.
|
1.0
|
[FALSE-POSITIVE?] - MaxMind - **Domains or links**
maxmind.com
dev.maxmind.com
support.maxmind.com
**More Information**
Updating suricata config to download maxmind db and discovered it's blocked.
**Have you requested removal from other sources?**
No
**Additional context**
maxmind DB is a commercial database of geolocations for IPs for use with anti-fraud, anti-spam, etc tooling.
:exclamation:
We understand being listed on a list like this can be frustrating and embarrassing for many web site owners. The first step is to remain calm. The second step is to rest assured one of our maintainers will address your issue as soon as possible. Please make sure you have provided as much information as possible to help speed up the process.
|
process
|
maxmind domains or links maxmind com dev maxmind com support maxmind com more information updating suricata config to download maxmind db and discovered it s blocked have you requested removal from other sources no additional context maxmind db is a commercial database of geolocations for ips for use with anti fraud anti spam etc tooling exclamation we understand being listed on a list like this can be frustrating and embarrassing for many web site owners the first step is to remain calm the second step is to rest assured one of our maintainers will address your issue as soon as possible please make sure you have provided as much information as possible to help speed up the process
| 1
|
3,019
| 6,026,109,947
|
IssuesEvent
|
2017-06-08 10:23:04
|
nodejs/node
|
https://api.github.com/repos/nodejs/node
|
closed
|
child_process: exec and execSync clobber error messages
|
child_process windows
|
- **Version**: 6.3.1
- **Platform**: Windows 7 x64
- **Subsystem**: child_process
``` js
require('child_process').execSync('nonexisted');
```
cmd.exe output (in the Unicode mode with a unicode font):
git-bash output:
HEX view of the error message redirected to a file:
```
0 1 2 3 4 5 6 7 8 9 a b c d e f
00000000h: 22 6E 6F 6E 65 78 69 73 74 65 64 22 20 AD A5 20 ; "nonexisted" Ґ
00000010h: EF A2 AB EF A5 E2 E1 EF 20 A2 AD E3 E2 E0 A5 AD ; пў«пҐвбп ўгваҐ
00000020h: AD A5 A9 20 A8 AB A8 20 A2 AD A5 E8 AD A5 A9 0D ; Ґ© Ё«Ё ўҐиҐ©.
00000030h: 0A AA AE AC A0 AD A4 AE A9 2C 20 A8 E1 AF AE AB ; .Є®¬ ¤®©, ЁбЇ®«
00000040h: AD EF A5 AC AE A9 20 AF E0 AE A3 E0 A0 AC AC AE ; 塞®© Їа®Ја ¬¬®
00000050h: A9 20 A8 AB A8 20 AF A0 AA A5 E2 AD EB AC 20 E4 ; © Ё«Ё Ї ЄҐвл¬ д
00000060h: A0 A9 AB AE AC 2E 0D 0A 63 68 69 6C 64 5F 70 72 ; ©«®¬...child_pr
00000070h: 6F 63 65 73 73 2E 6A 73 3A 35 31 38 0D 0A 20 20 ; ocess.js:518..
00000080h: 20 20 74 68 72 6F 77 20 65 72 72 3B 0D 0A 20 20 ; throw err;..
00000090h: 20 20 5E 0D 0A 0D 0A 45 72 72 6F 72 3A 20 43 6F ; ^....Error: Co
000000a0h: 6D 6D 61 6E 64 20 66 61 69 6C 65 64 3A 20 6E 6F ; mmand failed: no
000000b0h: 6E 65 78 69 73 74 65 64 0D 0A 22 6E 6F 6E 65 78 ; nexisted.."nonex
000000c0h: 69 73 74 65 64 22 20 EF BF BD EF BF BD 20 EF A2 ; isted" пїЅпїЅ пў
000000d0h: AB EF BF BD EF BF BD EF BF BD EF BF BD EF BF BD ; «пїЅпїЅпїЅпїЅпїЅ
000000e0h: 20 EF BF BD EF BF BD EF BF BD EF BF BD E0 A5 AD ; пїЅпїЅпїЅпїЅаҐ
000000f0h: EF BF BD EF BF BD EF BF BD 20 EF BF BD EF BF BD ; пїЅпїЅпїЅ пїЅпїЅ
00000100h: EF BF BD 20 EF BF BD EF BF BD EF BF BD E8 AD A5 ; пїЅ пїЅпїЅпїЅиҐ
00000110h: EF BF BD 0D 0D 0A EF BF BD EF BF BD EF BF BD EF ; пїЅ...пїЅпїЅпїЅп
00000120h: BF BD EF BF BD EF BF BD EF BF BD EF BF BD 2C 20 ; їЅпїЅпїЅпїЅпїЅ,
00000130h: EF BF BD E1 AF AE EF BF BD EF BF BD EF A5 AC EF ; �ᯮ��塞п
00000140h: BF BD EF BF BD 20 EF BF BD E0 AE A3 E0 A0 AC EF ; їЅпїЅ пїЅа®Ја ¬п
00000150h: BF BD EF BF BD EF BF BD 20 EF BF BD EF BF BD EF ; їЅпїЅпїЅ пїЅпїЅп
00000160h: BF BD 20 EF BF BD EF BF BD EF BF BD EF BF BD EF ; їЅ пїЅпїЅпїЅпїЅп
00000170h: BF BD EF BF BD EF BF BD EF BF BD 20 E4 A0 A9 EF ; їЅпїЅпїЅпїЅ д ©п
00000180h: BF BD EF BF BD EF BF BD 2E 0D 0D 0A 0D 0A 20 20 ; їЅпїЅпїЅ......
00000190h: 20 20 61 74 20 63 68 65 63 6B 45 78 65 63 53 79 ; at checkExecSy
000001a0h: 6E 63 45 72 72 6F 72 20 28 63 68 69 6C 64 5F 70 ; ncError (child_p
000001b0h: 72 6F 63 65 73 73 2E 6A 73 3A 34 37 35 3A 31 33 ; rocess.js:475:13
000001c0h: 29 0D 0A 20 20 20 20 61 74 20 4F 62 6A 65 63 74 ; ).. at Object
000001d0h: 2E 65 78 65 63 53 79 6E 63 20 28 63 68 69 6C 64 ; .execSync (child
000001e0h: 5F 70 72 6F 63 65 73 73 2E 6A 73 3A 35 31 35 3A ; _process.js:515:
000001f0h: 31 33 29 0D 0A 20 20 20 20 61 74 20 4F 62 6A 65 ; 13).. at Obje
00000200h: 63 74 2E 3C 61 6E 6F 6E 79 6D 6F 75 73 3E 20 28 ; ct.<anonymous> (
00000210h: 45 3A 5C 44 4F 43 5C 70 72 67 5C 6A 73 5C 6E 6F ; E:\DOC\prg\js\no
00000220h: 64 65 5C 2D 74 65 73 74 5C 74 65 73 74 2E 6A 73 ; de\-test\test.js
00000230h: 3A 35 3A 32 36 29 0D 0A 20 20 20 20 61 74 20 4D ; :5:26).. at M
00000240h: 6F 64 75 6C 65 2E 5F 63 6F 6D 70 69 6C 65 20 28 ; odule._compile (
00000250h: 6D 6F 64 75 6C 65 2E 6A 73 3A 35 34 31 3A 33 32 ; module.js:541:32
00000260h: 29 0D 0A 20 20 20 20 61 74 20 4F 62 6A 65 63 74 ; ).. at Object
00000270h: 2E 4D 6F 64 75 6C 65 2E 5F 65 78 74 65 6E 73 69 ; .Module._extensi
00000280h: 6F 6E 73 2E 2E 6A 73 20 28 6D 6F 64 75 6C 65 2E ; ons..js (module.
00000290h: 6A 73 3A 35 35 30 3A 31 30 29 0D 0A 20 20 20 20 ; js:550:10)..
000002a0h: 61 74 20 4D 6F 64 75 6C 65 2E 6C 6F 61 64 20 28 ; at Module.load (
000002b0h: 6D 6F 64 75 6C 65 2E 6A 73 3A 34 35 38 3A 33 32 ; module.js:458:32
000002c0h: 29 0D 0A 20 20 20 20 61 74 20 74 72 79 4D 6F 64 ; ).. at tryMod
000002d0h: 75 6C 65 4C 6F 61 64 20 28 6D 6F 64 75 6C 65 2E ; uleLoad (module.
000002e0h: 6A 73 3A 34 31 37 3A 31 32 29 0D 0A 20 20 20 20 ; js:417:12)..
000002f0h: 61 74 20 46 75 6E 63 74 69 6F 6E 2E 4D 6F 64 75 ; at Function.Modu
00000300h: 6C 65 2E 5F 6C 6F 61 64 20 28 6D 6F 64 75 6C 65 ; le._load (module
00000310h: 2E 6A 73 3A 34 30 39 3A 33 29 0D 0A 20 20 20 20 ; .js:409:3)..
00000320h: 61 74 20 4D 6F 64 75 6C 65 2E 72 75 6E 4D 61 69 ; at Module.runMai
00000330h: 6E 20 28 6D 6F 64 75 6C 65 2E 6A 73 3A 35 37 35 ; n (module.js:575
00000340h: 3A 31 30 29 0D 0A 20 20 20 20 61 74 20 72 75 6E ; :10).. at run
00000350h: 20 28 62 6F 6F 74 73 74 72 61 70 5F 6E 6F 64 65 ; (bootstrap_node
00000360h: 2E 6A 73 3A 33 35 32 3A 37 29 0D 0A ; .js:352:7)..
```
Are some my system configs or `execSync` options wrong?
|
1.0
|
child_process: exec and execSync clobber error messages - - **Version**: 6.3.1
- **Platform**: Windows 7 x64
- **Subsystem**: child_process
``` js
require('child_process').execSync('nonexisted');
```
cmd.exe output (in the Unicode mode with a unicode font):
git-bash output:
HEX view of the error message redirected to a file:
```
0 1 2 3 4 5 6 7 8 9 a b c d e f
00000000h: 22 6E 6F 6E 65 78 69 73 74 65 64 22 20 AD A5 20 ; "nonexisted" Ґ
00000010h: EF A2 AB EF A5 E2 E1 EF 20 A2 AD E3 E2 E0 A5 AD ; пў«пҐвбп ўгваҐ
00000020h: AD A5 A9 20 A8 AB A8 20 A2 AD A5 E8 AD A5 A9 0D ; Ґ© Ё«Ё ўҐиҐ©.
00000030h: 0A AA AE AC A0 AD A4 AE A9 2C 20 A8 E1 AF AE AB ; .Є®¬ ¤®©, ЁбЇ®«
00000040h: AD EF A5 AC AE A9 20 AF E0 AE A3 E0 A0 AC AC AE ; 塞®© Їа®Ја ¬¬®
00000050h: A9 20 A8 AB A8 20 AF A0 AA A5 E2 AD EB AC 20 E4 ; © Ё«Ё Ї ЄҐвл¬ д
00000060h: A0 A9 AB AE AC 2E 0D 0A 63 68 69 6C 64 5F 70 72 ; ©«®¬...child_pr
00000070h: 6F 63 65 73 73 2E 6A 73 3A 35 31 38 0D 0A 20 20 ; ocess.js:518..
00000080h: 20 20 74 68 72 6F 77 20 65 72 72 3B 0D 0A 20 20 ; throw err;..
00000090h: 20 20 5E 0D 0A 0D 0A 45 72 72 6F 72 3A 20 43 6F ; ^....Error: Co
000000a0h: 6D 6D 61 6E 64 20 66 61 69 6C 65 64 3A 20 6E 6F ; mmand failed: no
000000b0h: 6E 65 78 69 73 74 65 64 0D 0A 22 6E 6F 6E 65 78 ; nexisted.."nonex
000000c0h: 69 73 74 65 64 22 20 EF BF BD EF BF BD 20 EF A2 ; isted" пїЅпїЅ пў
000000d0h: AB EF BF BD EF BF BD EF BF BD EF BF BD EF BF BD ; «пїЅпїЅпїЅпїЅпїЅ
000000e0h: 20 EF BF BD EF BF BD EF BF BD EF BF BD E0 A5 AD ; пїЅпїЅпїЅпїЅаҐ
000000f0h: EF BF BD EF BF BD EF BF BD 20 EF BF BD EF BF BD ; пїЅпїЅпїЅ пїЅпїЅ
00000100h: EF BF BD 20 EF BF BD EF BF BD EF BF BD E8 AD A5 ; пїЅ пїЅпїЅпїЅиҐ
00000110h: EF BF BD 0D 0D 0A EF BF BD EF BF BD EF BF BD EF ; пїЅ...пїЅпїЅпїЅп
00000120h: BF BD EF BF BD EF BF BD EF BF BD EF BF BD 2C 20 ; їЅпїЅпїЅпїЅпїЅ,
00000130h: EF BF BD E1 AF AE EF BF BD EF BF BD EF A5 AC EF ; �ᯮ��塞п
00000140h: BF BD EF BF BD 20 EF BF BD E0 AE A3 E0 A0 AC EF ; їЅпїЅ пїЅа®Ја ¬п
00000150h: BF BD EF BF BD EF BF BD 20 EF BF BD EF BF BD EF ; їЅпїЅпїЅ пїЅпїЅп
00000160h: BF BD 20 EF BF BD EF BF BD EF BF BD EF BF BD EF ; їЅ пїЅпїЅпїЅпїЅп
00000170h: BF BD EF BF BD EF BF BD EF BF BD 20 E4 A0 A9 EF ; їЅпїЅпїЅпїЅ д ©п
00000180h: BF BD EF BF BD EF BF BD 2E 0D 0D 0A 0D 0A 20 20 ; їЅпїЅпїЅ......
00000190h: 20 20 61 74 20 63 68 65 63 6B 45 78 65 63 53 79 ; at checkExecSy
000001a0h: 6E 63 45 72 72 6F 72 20 28 63 68 69 6C 64 5F 70 ; ncError (child_p
000001b0h: 72 6F 63 65 73 73 2E 6A 73 3A 34 37 35 3A 31 33 ; rocess.js:475:13
000001c0h: 29 0D 0A 20 20 20 20 61 74 20 4F 62 6A 65 63 74 ; ).. at Object
000001d0h: 2E 65 78 65 63 53 79 6E 63 20 28 63 68 69 6C 64 ; .execSync (child
000001e0h: 5F 70 72 6F 63 65 73 73 2E 6A 73 3A 35 31 35 3A ; _process.js:515:
000001f0h: 31 33 29 0D 0A 20 20 20 20 61 74 20 4F 62 6A 65 ; 13).. at Obje
00000200h: 63 74 2E 3C 61 6E 6F 6E 79 6D 6F 75 73 3E 20 28 ; ct.<anonymous> (
00000210h: 45 3A 5C 44 4F 43 5C 70 72 67 5C 6A 73 5C 6E 6F ; E:\DOC\prg\js\no
00000220h: 64 65 5C 2D 74 65 73 74 5C 74 65 73 74 2E 6A 73 ; de\-test\test.js
00000230h: 3A 35 3A 32 36 29 0D 0A 20 20 20 20 61 74 20 4D ; :5:26).. at M
00000240h: 6F 64 75 6C 65 2E 5F 63 6F 6D 70 69 6C 65 20 28 ; odule._compile (
00000250h: 6D 6F 64 75 6C 65 2E 6A 73 3A 35 34 31 3A 33 32 ; module.js:541:32
00000260h: 29 0D 0A 20 20 20 20 61 74 20 4F 62 6A 65 63 74 ; ).. at Object
00000270h: 2E 4D 6F 64 75 6C 65 2E 5F 65 78 74 65 6E 73 69 ; .Module._extensi
00000280h: 6F 6E 73 2E 2E 6A 73 20 28 6D 6F 64 75 6C 65 2E ; ons..js (module.
00000290h: 6A 73 3A 35 35 30 3A 31 30 29 0D 0A 20 20 20 20 ; js:550:10)..
000002a0h: 61 74 20 4D 6F 64 75 6C 65 2E 6C 6F 61 64 20 28 ; at Module.load (
000002b0h: 6D 6F 64 75 6C 65 2E 6A 73 3A 34 35 38 3A 33 32 ; module.js:458:32
000002c0h: 29 0D 0A 20 20 20 20 61 74 20 74 72 79 4D 6F 64 ; ).. at tryMod
000002d0h: 75 6C 65 4C 6F 61 64 20 28 6D 6F 64 75 6C 65 2E ; uleLoad (module.
000002e0h: 6A 73 3A 34 31 37 3A 31 32 29 0D 0A 20 20 20 20 ; js:417:12)..
000002f0h: 61 74 20 46 75 6E 63 74 69 6F 6E 2E 4D 6F 64 75 ; at Function.Modu
00000300h: 6C 65 2E 5F 6C 6F 61 64 20 28 6D 6F 64 75 6C 65 ; le._load (module
00000310h: 2E 6A 73 3A 34 30 39 3A 33 29 0D 0A 20 20 20 20 ; .js:409:3)..
00000320h: 61 74 20 4D 6F 64 75 6C 65 2E 72 75 6E 4D 61 69 ; at Module.runMai
00000330h: 6E 20 28 6D 6F 64 75 6C 65 2E 6A 73 3A 35 37 35 ; n (module.js:575
00000340h: 3A 31 30 29 0D 0A 20 20 20 20 61 74 20 72 75 6E ; :10).. at run
00000350h: 20 28 62 6F 6F 74 73 74 72 61 70 5F 6E 6F 64 65 ; (bootstrap_node
00000360h: 2E 6A 73 3A 33 35 32 3A 37 29 0D 0A ; .js:352:7)..
```
Are some my system configs or `execSync` options wrong?
|
process
|
child process exec and execsync clobber error messages version platform windows subsystem child process js require child process execsync nonexisted cmd exe output in the unicode mode with a unicode font git bash output hex view of the error message redirected to a file a b c d e f ad nonexisted ґ ef ab ef ef ad ad пў«пґвбп ўгваґ ad ab ad ad ґ© ё«ё ўґиґ© aa ae ac ad ae af ae ab є®¬ ¤®© ёбї®« ad ef ac ae af ae ac ac ae ﴬ®© їа®ја ¬¬® ab af aa ad eb ac © ё«ё ї єґвл¬ д ab ae ac ©«®¬ child pr ocess js throw err error co mmand failed no nexisted nonex ef bf bd ef bf bd ef isted пїѕпїѕ пў ab ef bf bd ef bf bd ef bf bd ef bf bd ef bf bd «пїѕпїѕпїѕпїѕпїѕ ef bf bd ef bf bd ef bf bd ef bf bd ad пїѕпїѕпїѕпїѕаґ ef bf bd ef bf bd ef bf bd ef bf bd ef bf bd пїѕпїѕпїѕ пїѕпїѕ ef bf bd ef bf bd ef bf bd ef bf bd ad пїѕ пїѕпїѕпїѕиґ ef bf bd ef bf bd ef bf bd ef bf bd ef пїѕ пїѕпїѕпїѕп bf bd ef bf bd ef bf bd ef bf bd ef bf bd їѕпїѕпїѕпїѕпїѕ ef bf bd af ae ef bf bd ef bf bd ef ac ef ￾΅￾￾ﴬп bf bd ef bf bd ef bf bd ae ac ef їѕпїѕ пїѕа®ја ¬п bf bd ef bf bd ef bf bd ef bf bd ef bf bd ef їѕпїѕпїѕ пїѕпїѕп bf bd ef bf bd ef bf bd ef bf bd ef bf bd ef їѕ пїѕпїѕпїѕпїѕп bf bd ef bf bd ef bf bd ef bf bd ef їѕпїѕпїѕпїѕ д ©п bf bd ef bf bd ef bf bd їѕпїѕпїѕ at checkexecsy ncerror child p rocess js at object execsync child process js at obje ct e doc prg js no de test test js at m odule compile module js at object module extensi ons js module js at module load module js at trymod uleload module js at function modu le load module js at module runmai n module js at run bootstrap node js are some my system configs or execsync options wrong
| 1
|
1,976
| 4,805,266,795
|
IssuesEvent
|
2016-11-02 15:38:39
|
AllenFang/react-bootstrap-table
|
https://api.github.com/repos/AllenFang/react-bootstrap-table
|
closed
|
Do you know why filters do not work with dynamically generated columns?
|
inprocess
|
Do you know why filters do not work with dynamically generated columns? I followed the steps as in https://github.com/AllenFang/react-bootstrap-table/issues/450 , the dynamic columns work great.
Its only filters that do not work(Example numeric filter). It displays the filter controls , but does not do the filter operation.
|
1.0
|
Do you know why filters do not work with dynamically generated columns? - Do you know why filters do not work with dynamically generated columns? I followed the steps as in https://github.com/AllenFang/react-bootstrap-table/issues/450 , the dynamic columns work great.
Its only filters that do not work(Example numeric filter). It displays the filter controls , but does not do the filter operation.
|
process
|
do you know why filters do not work with dynamically generated columns do you know why filters do not work with dynamically generated columns i followed the steps as in the dynamic columns work great its only filters that do not work example numeric filter it displays the filter controls but does not do the filter operation
| 1
|
8,166
| 11,385,942,849
|
IssuesEvent
|
2020-01-29 12:13:33
|
prisma/prisma2
|
https://api.github.com/repos/prisma/prisma2
|
closed
|
ExperimentalWarning: The fs.promises API is experimental message in CLI
|
kind/improvement process/candidate
|
On Windows with latest preview 20 it shows this before the command output when using prisma2 cli:
```
(node:6656) ExperimentalWarning: The fs.promises API is experimental
(node:3272) ExperimentalWarning: The fs.promises API is experimental
```
On Windows running the command like this fixes it
`NODE_NO_WARNINGS=1 npx prisma2`
|
1.0
|
ExperimentalWarning: The fs.promises API is experimental message in CLI - On Windows with latest preview 20 it shows this before the command output when using prisma2 cli:
```
(node:6656) ExperimentalWarning: The fs.promises API is experimental
(node:3272) ExperimentalWarning: The fs.promises API is experimental
```
On Windows running the command like this fixes it
`NODE_NO_WARNINGS=1 npx prisma2`
|
process
|
experimentalwarning the fs promises api is experimental message in cli on windows with latest preview it shows this before the command output when using cli node experimentalwarning the fs promises api is experimental node experimentalwarning the fs promises api is experimental on windows running the command like this fixes it node no warnings npx
| 1
|
11,427
| 14,248,166,477
|
IssuesEvent
|
2020-11-19 12:32:55
|
tikv/tikv
|
https://api.github.com/repos/tikv/tikv
|
closed
|
Utilize `oneof` in the protobuf
|
sig/coprocessor type/enhancement
|
Due to historical reasons, we are implementing our own `oneof` in coprocessor. For example, the `coprocessor::Request` protobuf message contains a `data: Vec<u8>`, which is the serialized message data for different kind of requests.
By using `oneof`, we can avoid deserialize two times (1 for message in `Request` and 1 for message in `Request.data`), which can eliminate memory copies and make code simpler.
Note:
- To complete this task, you need to update TiDB as well.
- Because this is a breaking change, we may not merge the PR immediately. Instead it may be deferred to our 3.0 release.
|
1.0
|
Utilize `oneof` in the protobuf - Due to historical reasons, we are implementing our own `oneof` in coprocessor. For example, the `coprocessor::Request` protobuf message contains a `data: Vec<u8>`, which is the serialized message data for different kind of requests.
By using `oneof`, we can avoid deserialize two times (1 for message in `Request` and 1 for message in `Request.data`), which can eliminate memory copies and make code simpler.
Note:
- To complete this task, you need to update TiDB as well.
- Because this is a breaking change, we may not merge the PR immediately. Instead it may be deferred to our 3.0 release.
|
process
|
utilize oneof in the protobuf due to historical reasons we are implementing our own oneof in coprocessor for example the coprocessor request protobuf message contains a data vec which is the serialized message data for different kind of requests by using oneof we can avoid deserialize two times for message in request and for message in request data which can eliminate memory copies and make code simpler note to complete this task you need to update tidb as well because this is a breaking change we may not merge the pr immediately instead it may be deferred to our release
| 1
|
334,124
| 10,136,206,107
|
IssuesEvent
|
2019-08-02 12:23:30
|
mozilla/addons-server
|
https://api.github.com/repos/mozilla/addons-server
|
closed
|
Add the banned state with a date for user profiles
|
component: admin tools priority: p4
|
As a followup for https://github.com/mozilla/addons-server/issues/11360
STR:
1. From en-US/admin/models/users/userprofile/ users can be banned.
Expected:
There is a field which indicated the banned state and the date.
Actual:
Only "Is public" and "deleted" states are available.
Notes:
Reproducible on django admin dev and stage - FF66(win10).
|
1.0
|
Add the banned state with a date for user profiles - As a followup for https://github.com/mozilla/addons-server/issues/11360
STR:
1. From en-US/admin/models/users/userprofile/ users can be banned.
Expected:
There is a field which indicated the banned state and the date.
Actual:
Only "Is public" and "deleted" states are available.
Notes:
Reproducible on django admin dev and stage - FF66(win10).
|
non_process
|
add the banned state with a date for user profiles as a followup for str from en us admin models users userprofile users can be banned expected there is a field which indicated the banned state and the date actual only is public and deleted states are available notes reproducible on django admin dev and stage
| 0
|
11,841
| 14,657,328,276
|
IssuesEvent
|
2020-12-28 15:21:47
|
DataDog/integrations-core
|
https://api.github.com/repos/DataDog/integrations-core
|
closed
|
(process.py:454) | No matching process '...' was found (when process is running fine)
|
integration/process
|
**Note:** If you have a feature request, you should [contact support](https://docs.datadoghq.com/help/) so the request can be properly tracked.
**Output of the [info page](https://docs.datadoghq.com/agent/guide/agent-commands/#agent-status-and-information)**
```text
===============
Agent (v6.23.1)
===============
Status date: 2020-11-20 07:54:17.694915 UTC
Agent start: 2020-11-18 02:38:57.638476 UTC
Pid: 17256
Go Version: go1.14.7
Python Version: 2.7.18
Build arch: amd64
Agent flavor: agent
Check Runners: 4
Log Level: info
Paths
=====
Config File: /etc/datadog-agent/datadog.yaml
conf.d: /etc/datadog-agent/conf.d
checks.d: /etc/datadog-agent/checks.d
Clocks
======
NTP offset: -2µs
System UTC time: 2020-11-20 07:54:17.694915 UTC
Host Info
=========
bootTime: 2020-06-10 08:18:57.000000 UTC
kernelArch: x86_64
kernelVersion: 5.3.0-1020-gcp
os: linux
platform: ubuntu
platformFamily: debian
platformVersion: 18.04
procs: 150
uptime: 3858h20m1s
virtualizationRole: guest
Hostnames
=========
host_aliases: [redacted]
hostname: redacted
socket-fqdn: redacted
socket-hostname: redacted
host tags:
env:staging
env:staging
http-server
https-server
zone:europe-west1-b
instance-type:n2-standard-4
internal-hostname:redacted
instance-id:506**************
project:redacted
numeric_project_id:9764**********
hostname provider: gce
unused hostname providers:
configuration/environment: hostname is empty
Metadata
========
cloud_provider: GCP
hostname_source: gce
=========
Collector
=========
Running Checks
==============
<snip>
process (1.16.0)
----------------
Instance ID: process:fail2ban:f69385006d560585 [OK]
Configuration Source: file:/etc/datadog-agent/conf.d/process.d/process.yaml
Total Runs: 12,781
Metric Samples: Last Run: 17, Total: 217,275
Events: Last Run: 0, Total: 0
Service Checks: Last Run: 1, Total: 12,781
Average Execution Time : 3ms
Last Execution Date : 2020-11-20 07:54:12.000000 UTC
Last Successful Execution Date : 2020-11-20 07:54:12.000000 UTC
Instance ID: process:sidekiq:2026c1cda5d3f74d [OK]
Configuration Source: file:/etc/datadog-agent/conf.d/process.d/process.yaml
Total Runs: 12,781
Metric Samples: Last Run: 17, Total: 213,783
Events: Last Run: 0, Total: 0
Service Checks: Last Run: 1, Total: 12,781
Average Execution Time : 2ms
Last Execution Date : 2020-11-20 07:54:05.000000 UTC
Last Successful Execution Date : 2020-11-20 07:54:05.000000 UTC
<snip>
```
**Additional environment details (Operating System, Cloud provider, etc):**
`/etc/datadog-agent/conf.d/process.d/process.yaml`
```yaml
instances:
- name: sidekiq
search_string: ['sidekiq']
exact_match: False
thresholds:
critical: [1, 4]
tags:
- env:staging
```
**Steps to reproduce the issue:**
1. Restarting the processes
2. Processes restart, but they are still running
3. The collector does not seem to find the (running) processes, and we can see a warning; our process monitoring alerts also fire a false negative
4. After a little while, it finds the processes again and the alert goes away
**Describe the results you received:**
```
Nov 20 07:44:54 host.name agent[22753]: 2020-11-20 07:44:54 UTC | CORE | WARN | (pkg/collector/python/datadog_agent.go:120 in LogMessage) | process:sidekiq:6c9c73d8f1648c
27 | (process.py:454) | No matching process 'sidekiq' was found
```
**Describe the results you expected:**
the process collector should detect the running processes
**Additional information you deem important (e.g. issue happens only occasionally):**
It probably started after upgrading the datadog agent. Unfortunately I do not recall what the previous agent was, but we didn't update it in a little while now... Our configs did not change however, nor anything that I can relate to about these processes.
|
1.0
|
(process.py:454) | No matching process '...' was found (when process is running fine) - **Note:** If you have a feature request, you should [contact support](https://docs.datadoghq.com/help/) so the request can be properly tracked.
**Output of the [info page](https://docs.datadoghq.com/agent/guide/agent-commands/#agent-status-and-information)**
```text
===============
Agent (v6.23.1)
===============
Status date: 2020-11-20 07:54:17.694915 UTC
Agent start: 2020-11-18 02:38:57.638476 UTC
Pid: 17256
Go Version: go1.14.7
Python Version: 2.7.18
Build arch: amd64
Agent flavor: agent
Check Runners: 4
Log Level: info
Paths
=====
Config File: /etc/datadog-agent/datadog.yaml
conf.d: /etc/datadog-agent/conf.d
checks.d: /etc/datadog-agent/checks.d
Clocks
======
NTP offset: -2µs
System UTC time: 2020-11-20 07:54:17.694915 UTC
Host Info
=========
bootTime: 2020-06-10 08:18:57.000000 UTC
kernelArch: x86_64
kernelVersion: 5.3.0-1020-gcp
os: linux
platform: ubuntu
platformFamily: debian
platformVersion: 18.04
procs: 150
uptime: 3858h20m1s
virtualizationRole: guest
Hostnames
=========
host_aliases: [redacted]
hostname: redacted
socket-fqdn: redacted
socket-hostname: redacted
host tags:
env:staging
env:staging
http-server
https-server
zone:europe-west1-b
instance-type:n2-standard-4
internal-hostname:redacted
instance-id:506**************
project:redacted
numeric_project_id:9764**********
hostname provider: gce
unused hostname providers:
configuration/environment: hostname is empty
Metadata
========
cloud_provider: GCP
hostname_source: gce
=========
Collector
=========
Running Checks
==============
<snip>
process (1.16.0)
----------------
Instance ID: process:fail2ban:f69385006d560585 [OK]
Configuration Source: file:/etc/datadog-agent/conf.d/process.d/process.yaml
Total Runs: 12,781
Metric Samples: Last Run: 17, Total: 217,275
Events: Last Run: 0, Total: 0
Service Checks: Last Run: 1, Total: 12,781
Average Execution Time : 3ms
Last Execution Date : 2020-11-20 07:54:12.000000 UTC
Last Successful Execution Date : 2020-11-20 07:54:12.000000 UTC
Instance ID: process:sidekiq:2026c1cda5d3f74d [OK]
Configuration Source: file:/etc/datadog-agent/conf.d/process.d/process.yaml
Total Runs: 12,781
Metric Samples: Last Run: 17, Total: 213,783
Events: Last Run: 0, Total: 0
Service Checks: Last Run: 1, Total: 12,781
Average Execution Time : 2ms
Last Execution Date : 2020-11-20 07:54:05.000000 UTC
Last Successful Execution Date : 2020-11-20 07:54:05.000000 UTC
<snip>
```
**Additional environment details (Operating System, Cloud provider, etc):**
`/etc/datadog-agent/conf.d/process.d/process.yaml`
```yaml
instances:
- name: sidekiq
search_string: ['sidekiq']
exact_match: False
thresholds:
critical: [1, 4]
tags:
- env:staging
```
**Steps to reproduce the issue:**
1. Restarting the processes
2. Processes restart, but they are still running
3. The collector does not seem to find the (running) processes, and we can see a warning; our process monitoring alerts also fire a false negative
4. After a little while, it finds the processes again and the alert goes away
**Describe the results you received:**
```
Nov 20 07:44:54 host.name agent[22753]: 2020-11-20 07:44:54 UTC | CORE | WARN | (pkg/collector/python/datadog_agent.go:120 in LogMessage) | process:sidekiq:6c9c73d8f1648c
27 | (process.py:454) | No matching process 'sidekiq' was found
```
**Describe the results you expected:**
the process collector should detect the running processes
**Additional information you deem important (e.g. issue happens only occasionally):**
It probably started after upgrading the datadog agent. Unfortunately I do not recall what the previous agent was, but we didn't update it in a little while now... Our configs did not change however, nor anything that I can relate to about these processes.
|
process
|
process py no matching process was found when process is running fine note if you have a feature request you should so the request can be properly tracked output of the text agent status date utc agent start utc pid go version python version build arch agent flavor agent check runners log level info paths config file etc datadog agent datadog yaml conf d etc datadog agent conf d checks d etc datadog agent checks d clocks ntp offset system utc time utc host info boottime utc kernelarch kernelversion gcp os linux platform ubuntu platformfamily debian platformversion procs uptime virtualizationrole guest hostnames host aliases hostname redacted socket fqdn redacted socket hostname redacted host tags env staging env staging http server https server zone europe b instance type standard internal hostname redacted instance id project redacted numeric project id hostname provider gce unused hostname providers configuration environment hostname is empty metadata cloud provider gcp hostname source gce collector running checks process instance id process configuration source file etc datadog agent conf d process d process yaml total runs metric samples last run total events last run total service checks last run total average execution time last execution date utc last successful execution date utc instance id process sidekiq configuration source file etc datadog agent conf d process d process yaml total runs metric samples last run total events last run total service checks last run total average execution time last execution date utc last successful execution date utc additional environment details operating system cloud provider etc etc datadog agent conf d process d process yaml yaml instances name sidekiq search string exact match false thresholds critical tags env staging steps to reproduce the issue restarting the processes processes restart but they are still running the collector does not seem to find the running processes and we can see a warning our process monitoring alerts also fire a false negative after a little while it finds the processes again and the alert goes away describe the results you received nov host name agent utc core warn pkg collector python datadog agent go in logmessage process sidekiq process py no matching process sidekiq was found describe the results you expected the process collector should detect the running processes additional information you deem important e g issue happens only occasionally it probably started after upgrading the datadog agent unfortunately i do not recall what the previous agent was but we didn t update it in a little while now our configs did not change however nor anything that i can relate to about these processes
| 1
|
10,833
| 13,615,709,668
|
IssuesEvent
|
2020-09-23 14:45:53
|
googleapis/python-bigtable
|
https://api.github.com/repos/googleapis/python-bigtable
|
closed
|
'TestTableAdminAPI.test_delete_column_family' systest flakes
|
api: bigtable testing type: process
|
From [this failed Kokoro build](https://source.cloud.google.com/results/invocations/fc1adc69-5fda-4d19-8ff9-b084d943cd9a/targets/cloud-devrel%2Fclient-libraries%2Fpython%2Fgoogleapis%2Fpython-bigtable%2Fpresubmit%2Fpresubmit/log):
```python
_________________ TestTableAdminAPI.test_delete_column_family __________________
self = <tests.system.TestTableAdminAPI testMethod=test_delete_column_family>
def test_delete_column_family(self):
temp_table_id = "test-delete-column-family"
temp_table = Config.INSTANCE_DATA.table(temp_table_id)
temp_table.create()
self.tables_to_delete.append(temp_table)
self.assertEqual(temp_table.list_column_families(), {})
column_family = temp_table.column_family(COLUMN_FAMILY_ID1)
column_family.create()
# Make sure the family is there before deleting it.
col_fams = temp_table.list_column_families()
self.assertEqual(list(col_fams.keys()), [COLUMN_FAMILY_ID1])
> column_family.delete()
tests/system.py:834:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
google/cloud/bigtable/column_family.py:327: in delete
self._table.name, [modification]
google/cloud/bigtable_admin_v2/gapic/bigtable_table_admin_client.py:831: in modify_column_families
request, retry=retry, timeout=timeout, metadata=metadata
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/gapic_v1/method.py:145: in __call__
return wrapped_func(*args, **kwargs)
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/retry.py:286: in retry_wrapped_func
on_error=on_error,
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/retry.py:184: in retry_target
return target()
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/timeout.py:214: in func_with_timeout
return func(*args, **kwargs)
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/grpc_helpers.py:59: in error_remapped_callable
six.raise_from(exceptions.from_grpc_error(exc), exc)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
value = DeadlineExceeded(u'Deadline Exceeded',)
from_value = <_InactiveRpcError of RPC that terminated with:
status = StatusCode.DEADLINE_...all.cc","file_line":1062,"grpc_message":"Deadline Exceeded","grpc_status":4}"
>
def raise_from(value, from_value):
> raise value
E DeadlineExceeded: 504 Deadline Exceeded
```
|
1.0
|
'TestTableAdminAPI.test_delete_column_family' systest flakes - From [this failed Kokoro build](https://source.cloud.google.com/results/invocations/fc1adc69-5fda-4d19-8ff9-b084d943cd9a/targets/cloud-devrel%2Fclient-libraries%2Fpython%2Fgoogleapis%2Fpython-bigtable%2Fpresubmit%2Fpresubmit/log):
```python
_________________ TestTableAdminAPI.test_delete_column_family __________________
self = <tests.system.TestTableAdminAPI testMethod=test_delete_column_family>
def test_delete_column_family(self):
temp_table_id = "test-delete-column-family"
temp_table = Config.INSTANCE_DATA.table(temp_table_id)
temp_table.create()
self.tables_to_delete.append(temp_table)
self.assertEqual(temp_table.list_column_families(), {})
column_family = temp_table.column_family(COLUMN_FAMILY_ID1)
column_family.create()
# Make sure the family is there before deleting it.
col_fams = temp_table.list_column_families()
self.assertEqual(list(col_fams.keys()), [COLUMN_FAMILY_ID1])
> column_family.delete()
tests/system.py:834:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
google/cloud/bigtable/column_family.py:327: in delete
self._table.name, [modification]
google/cloud/bigtable_admin_v2/gapic/bigtable_table_admin_client.py:831: in modify_column_families
request, retry=retry, timeout=timeout, metadata=metadata
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/gapic_v1/method.py:145: in __call__
return wrapped_func(*args, **kwargs)
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/retry.py:286: in retry_wrapped_func
on_error=on_error,
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/retry.py:184: in retry_target
return target()
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/timeout.py:214: in func_with_timeout
return func(*args, **kwargs)
.nox/system-2-7/lib/python2.7/site-packages/google/api_core/grpc_helpers.py:59: in error_remapped_callable
six.raise_from(exceptions.from_grpc_error(exc), exc)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
value = DeadlineExceeded(u'Deadline Exceeded',)
from_value = <_InactiveRpcError of RPC that terminated with:
status = StatusCode.DEADLINE_...all.cc","file_line":1062,"grpc_message":"Deadline Exceeded","grpc_status":4}"
>
def raise_from(value, from_value):
> raise value
E DeadlineExceeded: 504 Deadline Exceeded
```
|
process
|
testtableadminapi test delete column family systest flakes from python testtableadminapi test delete column family self def test delete column family self temp table id test delete column family temp table config instance data table temp table id temp table create self tables to delete append temp table self assertequal temp table list column families column family temp table column family column family column family create make sure the family is there before deleting it col fams temp table list column families self assertequal list col fams keys column family delete tests system py google cloud bigtable column family py in delete self table name google cloud bigtable admin gapic bigtable table admin client py in modify column families request retry retry timeout timeout metadata metadata nox system lib site packages google api core gapic method py in call return wrapped func args kwargs nox system lib site packages google api core retry py in retry wrapped func on error on error nox system lib site packages google api core retry py in retry target return target nox system lib site packages google api core timeout py in func with timeout return func args kwargs nox system lib site packages google api core grpc helpers py in error remapped callable six raise from exceptions from grpc error exc exc value deadlineexceeded u deadline exceeded from value inactiverpcerror of rpc that terminated with status statuscode deadline all cc file line grpc message deadline exceeded grpc status def raise from value from value raise value e deadlineexceeded deadline exceeded
| 1
|
100,234
| 8,728,249,315
|
IssuesEvent
|
2018-12-10 16:54:15
|
rauc/rauc
|
https://api.github.com/repos/rauc/rauc
|
closed
|
Travis frequently fails with 'ERROR: test/service.test - too few tests run (expected 3, got 2)'
|
bug testing
|
Log output from travis:
```
ok 1 /service/install
PASS: test/service.test 1 /service/install
rauc-Message: Connection to the bus can't be made for de.pengutronix.rauc
cleaning up pid 2797
Segmentation fault
ok 2 /service/info
PASS: test/service.test 2 /service/info
*** Segmentation fault
Register dump:
RAX: 000000004c00b8f0 RBX: 0000000000000000 RCX: 0000000000000020
RDX: 0000000000000030 RSI: 0000000000000000 RDI: 000000004c00b8f0
RBP: 000000004c00b8f0 R8 : 0000000000000001 R9 : 0000000000000001
R10: ffffffffffffdc9c R11: 0000000000000000 R12: 000000004c007590
R13: 000000000069d000 R14: 0000000000000134 R15: 000000000069d000
RSP: 0000007fbfaec390
RIP: 000000004050f2ad EFLAGS: 00010206
CS: 0033 FS: 0000 GS: 0000
Trap: 0000000e Error: 00000006 OldMask: 00000000 CR2: 00000000
FPUCW: 0000037f FPUSW: 00000000 TAG: 00000000
RIP: 40a72eb3 RDP: 00000000
ST(0) 0000 0000000000000000 ST(1) 0000 0000000000000000
ST(2) 0000 0000000000000000 ST(3) 0000 0000000000000000
ST(4) 0000 0000000000000000 ST(5) 0000 0000000000000000
ST(6) 0000 0000000000000000 ST(7) 8ae1 8ae1693c03bc5000
mxcsr: 1fa0
XMM0: 000000000000000000000000ff000000 XMM1: 000000000000000000000000ff000000
XMM2: 000000000000000000000000ff000000 XMM3: 000000000000000000000000ff000000
XMM4: 000000000000000000000000ff000000 XMM5: 000000000000000000000000ff000000
XMM6: 000000000000000000000000ff000000 XMM7: 000000000000000000000000ff000000
XMM8: 000000000000000000000000ff000000 XMM9: 000000000000000000000000ff000000
XMM10: 000000000000000000000000ff000000 XMM11: 000000000000000000000000ff000000
XMM12: 000000000000000000000000ff000000 XMM13: 000000000000000000000000ff000000
XMM14: 000000000000000000000000ff000000 XMM15: 000000000000000000000000ff000000
Backtrace:
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xe52ad)[0x4050f2ad]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xd201b)[0x404fc01b]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(g_dbus_connection_signal_subscribe+0x60e)[0x405023ee]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xe17f2)[0x4050b7f2]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xe23c0)[0x4050c3c0]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(g_initable_new_valist+0x6f)[0x40488a0f]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(g_initable_new+0x96)[0x40488ac6]
/home/travis/build/ejoerns/rauc/rauc-installer-generated.c:1775(r_installer_proxy_new_for_bus_sync)[0x418624]
/home/travis/build/ejoerns/rauc/test/service.c:255(service_test_slot_status)[0x4090c4]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(+0x6f76b)[0x40a7476b]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(+0x6f933)[0x40a74933]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(g_test_run_suite+0xbe)[0x40a74b3e]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(g_test_run+0x11)[0x40a74b61]
/home/travis/build/ejoerns/rauc/test/service.c:299(main)[0x4092eb]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf5)[0x417f7f45]
??:?(_start)[0x407ec9]
Memory map:
00100000-00102000 r-xp 00000000 00:00 0
00400000-0042c000 r-xp 00000000 00:0c 920849 /home/travis/build/ejoerns/rauc/test/service.test
0062c000-0062d000 r--p 0002c000 00:0c 920849 /home/travis/build/ejoerns/rauc/test/service.test
0062d000-00633000 rw-p 0002d000 00:0c 920849 /home/travis/build/ejoerns/rauc/test/service.test
00633000-006be000 rwxp 00000000 00:00 0 [heap]
40000000-40023000 r-xp 00000000 00:0c 2092 /lib/x86_64-linux-gnu/ld-2.19.so
40023000-40025000 rw-p 00000000 00:00 0
40025000-4002c000 r--s 00000000 00:0c 32280 /usr/lib/x86_64-linux-gnu/gconv/gconv-modules.cache
4002c000-4002d000 rw-p 00000000 00:00 0
40035000-40048000 rw-p 00000000 00:00 0
40222000-40223000 r--p 00022000 00:0c 2092 /lib/x86_64-linux-gnu/ld-2.19.so
40223000-40224000 rw-p 00023000 00:0c 2092 /lib/x86_64-linux-gnu/ld-2.19.so
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437f6000-437f7000 rw-p 00000000 00:00 0
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43f70000-43f71000 rw-p 00000000 00:00 0
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44599000-4459a000 r--p 00019000 00:0c 32494 /usr/lib/x86_64-linux-gnu/libsasl2.so.2.0.25
4459a000-4459b000 rw-p 0001a000 00:0c 32494 /usr/lib/x86_64-linux-gnu/libsasl2.so.2.0.25
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447d8000-447d9000 rw-p 00000000 00:00 0
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449ec000-449ed000 rw-p 00013000 00:0c 32535 /usr/lib/x86_64-linux-gnu/libtasn1.so.6.2.0
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454c8000-454c9000 rw-p 00000000 00:00 0
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4599b000-4599c000 rw-p 00031000 00:0c 32566 /usr/lib/x86_64-linux-gnu/libhcrypto.so.4.1.0
4599c000-4599d000 rw-p 00000000 00:00 0
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45bb0000-45bb1000 r--p 00013000 00:0c 32550 /usr/lib/x86_64-linux-gnu/libroken.so.18.1.0
45bb1000-45bb2000 rw-p 00014000 00:0c 32550 /usr/lib/x86_64-linux-gnu/libroken.so.18.1.0
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45dda000-45ddb000 rw-p 00028000 00:0c 32486 /usr/lib/x86_64-linux-gnu/libwind.so.0.0.0
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45fe8000-45fe9000 rw-p 0000d000 00:0c 32527 /usr/lib/x86_64-linux-gnu/libheimbase.so.1.0.0
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4622f000-46231000 rw-p 00046000 00:0c 32607 /usr/lib/x86_64-linux-gnu/libhx509.so.5.0.0
46231000-46232000 rw-p 00000000 00:00 0
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462e6000-464e6000 ---p 000b4000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
464e6000-464e8000 r--p 000b4000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
464e8000-464ea000 rw-p 000b6000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
464ea000-464eb000 rw-p 00000000 00:00 0
464eb000-464f4000 r-xp 00000000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
464f4000-466f4000 ---p 00009000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
466f4000-466f5000 r--p 00009000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
466f5000-466f6000 rw-p 0000a000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
466f6000-46724000 rw-p 00000000 00:00 0
46724000-46725000 ---p 00000000 00:00 0
46725000-46925000 rw-p 00000000 00:00 0
46925000-46926000 ---p 00000000 00:00 0
46926000-46b26000 rw-p 00000000 00:00 0
46b26000-46b3d000 r-xp 00000000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
46b3d000-46d3c000 ---p 00017000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
46d3c000-46d3d000 r--p 00016000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
46d3d000-46d3e000 rw-p 00017000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
48000000-48021000 rw-p 00000000 00:00 0
48021000-4c000000 ---p 00000000 00:00 0
4c000000-4c022000 rw-p 00000000 00:00 0
4c022000-50000000 ---p 00000000 00:00 0
7fbfacc000-7fbfaed000 rw-p 00000000 00:00 0
7fbffff000-7fc0000000 r-xp 00000000 00:00 0 [vdso]
ERROR: test/service.test - too few tests run (expected 3, got 2)
ERROR: test/service.test - exited with status 139 (terminated by signal 11?)
```
|
1.0
|
Travis frequently fails with 'ERROR: test/service.test - too few tests run (expected 3, got 2)' - Log output from travis:
```
ok 1 /service/install
PASS: test/service.test 1 /service/install
rauc-Message: Connection to the bus can't be made for de.pengutronix.rauc
cleaning up pid 2797
Segmentation fault
ok 2 /service/info
PASS: test/service.test 2 /service/info
*** Segmentation fault
Register dump:
RAX: 000000004c00b8f0 RBX: 0000000000000000 RCX: 0000000000000020
RDX: 0000000000000030 RSI: 0000000000000000 RDI: 000000004c00b8f0
RBP: 000000004c00b8f0 R8 : 0000000000000001 R9 : 0000000000000001
R10: ffffffffffffdc9c R11: 0000000000000000 R12: 000000004c007590
R13: 000000000069d000 R14: 0000000000000134 R15: 000000000069d000
RSP: 0000007fbfaec390
RIP: 000000004050f2ad EFLAGS: 00010206
CS: 0033 FS: 0000 GS: 0000
Trap: 0000000e Error: 00000006 OldMask: 00000000 CR2: 00000000
FPUCW: 0000037f FPUSW: 00000000 TAG: 00000000
RIP: 40a72eb3 RDP: 00000000
ST(0) 0000 0000000000000000 ST(1) 0000 0000000000000000
ST(2) 0000 0000000000000000 ST(3) 0000 0000000000000000
ST(4) 0000 0000000000000000 ST(5) 0000 0000000000000000
ST(6) 0000 0000000000000000 ST(7) 8ae1 8ae1693c03bc5000
mxcsr: 1fa0
XMM0: 000000000000000000000000ff000000 XMM1: 000000000000000000000000ff000000
XMM2: 000000000000000000000000ff000000 XMM3: 000000000000000000000000ff000000
XMM4: 000000000000000000000000ff000000 XMM5: 000000000000000000000000ff000000
XMM6: 000000000000000000000000ff000000 XMM7: 000000000000000000000000ff000000
XMM8: 000000000000000000000000ff000000 XMM9: 000000000000000000000000ff000000
XMM10: 000000000000000000000000ff000000 XMM11: 000000000000000000000000ff000000
XMM12: 000000000000000000000000ff000000 XMM13: 000000000000000000000000ff000000
XMM14: 000000000000000000000000ff000000 XMM15: 000000000000000000000000ff000000
Backtrace:
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xe52ad)[0x4050f2ad]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xd201b)[0x404fc01b]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(g_dbus_connection_signal_subscribe+0x60e)[0x405023ee]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xe17f2)[0x4050b7f2]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(+0xe23c0)[0x4050c3c0]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(g_initable_new_valist+0x6f)[0x40488a0f]
/usr/lib/x86_64-linux-gnu/libgio-2.0.so.0(g_initable_new+0x96)[0x40488ac6]
/home/travis/build/ejoerns/rauc/rauc-installer-generated.c:1775(r_installer_proxy_new_for_bus_sync)[0x418624]
/home/travis/build/ejoerns/rauc/test/service.c:255(service_test_slot_status)[0x4090c4]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(+0x6f76b)[0x40a7476b]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(+0x6f933)[0x40a74933]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(g_test_run_suite+0xbe)[0x40a74b3e]
/lib/x86_64-linux-gnu/libglib-2.0.so.0(g_test_run+0x11)[0x40a74b61]
/home/travis/build/ejoerns/rauc/test/service.c:299(main)[0x4092eb]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf5)[0x417f7f45]
??:?(_start)[0x407ec9]
Memory map:
00100000-00102000 r-xp 00000000 00:00 0
00400000-0042c000 r-xp 00000000 00:0c 920849 /home/travis/build/ejoerns/rauc/test/service.test
0062c000-0062d000 r--p 0002c000 00:0c 920849 /home/travis/build/ejoerns/rauc/test/service.test
0062d000-00633000 rw-p 0002d000 00:0c 920849 /home/travis/build/ejoerns/rauc/test/service.test
00633000-006be000 rwxp 00000000 00:00 0 [heap]
40000000-40023000 r-xp 00000000 00:0c 2092 /lib/x86_64-linux-gnu/ld-2.19.so
40023000-40025000 rw-p 00000000 00:00 0
40025000-4002c000 r--s 00000000 00:0c 32280 /usr/lib/x86_64-linux-gnu/gconv/gconv-modules.cache
4002c000-4002d000 rw-p 00000000 00:00 0
40035000-40048000 rw-p 00000000 00:00 0
40222000-40223000 r--p 00022000 00:0c 2092 /lib/x86_64-linux-gnu/ld-2.19.so
40223000-40224000 rw-p 00023000 00:0c 2092 /lib/x86_64-linux-gnu/ld-2.19.so
40224000-40225000 rwxp 00000000 00:00 0
40225000-40229000 r-xp 00000000 00:0c 2134 /lib/x86_64-linux-gnu/libSegFault.so
40229000-40428000 ---p 00004000 00:0c 2134 /lib/x86_64-linux-gnu/libSegFault.so
40428000-40429000 r--p 00003000 00:0c 2134 /lib/x86_64-linux-gnu/libSegFault.so
40429000-4042a000 rw-p 00004000 00:0c 2134 /lib/x86_64-linux-gnu/libSegFault.so
4042a000-405aa000 r-xp 00000000 00:0c 2353 /usr/lib/x86_64-linux-gnu/libgio-2.0.so.0.4800.0
405aa000-407aa000 ---p 00180000 00:0c 2353 /usr/lib/x86_64-linux-gnu/libgio-2.0.so.0.4800.0
407aa000-407ae000 r--p 00180000 00:0c 2353 /usr/lib/x86_64-linux-gnu/libgio-2.0.so.0.4800.0
407ae000-407b0000 rw-p 00184000 00:0c 2353 /usr/lib/x86_64-linux-gnu/libgio-2.0.so.0.4800.0
407b0000-407b2000 rw-p 00000000 00:00 0
407b2000-40804000 r-xp 00000000 00:0c 2351 /usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0.4800.0
40804000-40a03000 ---p 00052000 00:0c 2351 /usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0.4800.0
40a03000-40a04000 r--p 00051000 00:0c 2351 /usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0.4800.0
40a04000-40a05000 rw-p 00052000 00:0c 2351 /usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0.4800.0
40a05000-40b13000 r-xp 00000000 00:0c 2350 /lib/x86_64-linux-gnu/libglib-2.0.so.0.4800.0
40b13000-40d13000 ---p 0010e000 00:0c 2350 /lib/x86_64-linux-gnu/libglib-2.0.so.0.4800.0
40d13000-40d14000 r--p 0010e000 00:0c 2350 /lib/x86_64-linux-gnu/libglib-2.0.so.0.4800.0
40d14000-40d15000 rw-p 0010f000 00:0c 2350 /lib/x86_64-linux-gnu/libglib-2.0.so.0.4800.0
40d15000-40d16000 rw-p 00000000 00:00 0
40d16000-40d7a000 r-xp 00000000 00:0c 1796 /usr/lib/x86_64-linux-gnu/libcurl.so.4.3.0
40d7a000-40f7a000 ---p 00064000 00:0c 1796 /usr/lib/x86_64-linux-gnu/libcurl.so.4.3.0
40f7a000-40f7c000 r--p 00064000 00:0c 1796 /usr/lib/x86_64-linux-gnu/libcurl.so.4.3.0
40f7c000-40f7d000 rw-p 00066000 00:0c 1796 /usr/lib/x86_64-linux-gnu/libcurl.so.4.3.0
40f7d000-40fd2000 r-xp 00000000 00:0c 1737 /lib/x86_64-linux-gnu/libssl.so.1.0.0
40fd2000-411d2000 ---p 00055000 00:0c 1737 /lib/x86_64-linux-gnu/libssl.so.1.0.0
411d2000-411d5000 r--p 00055000 00:0c 1737 /lib/x86_64-linux-gnu/libssl.so.1.0.0
411d5000-411dc000 rw-p 00058000 00:0c 1737 /lib/x86_64-linux-gnu/libssl.so.1.0.0
411dc000-4138f000 r-xp 00000000 00:0c 1736 /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
4138f000-4158e000 ---p 001b3000 00:0c 1736 /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
4158e000-415a9000 r--p 001b2000 00:0c 1736 /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
415a9000-415b4000 rw-p 001cd000 00:0c 1736 /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
415b4000-415b8000 rw-p 00000000 00:00 0
415b8000-415d1000 r-xp 00000000 00:0c 2183 /lib/x86_64-linux-gnu/libpthread-2.19.so
415d1000-417d0000 ---p 00019000 00:0c 2183 /lib/x86_64-linux-gnu/libpthread-2.19.so
417d0000-417d1000 r--p 00018000 00:0c 2183 /lib/x86_64-linux-gnu/libpthread-2.19.so
417d1000-417d2000 rw-p 00019000 00:0c 2183 /lib/x86_64-linux-gnu/libpthread-2.19.so
417d2000-417d6000 rw-p 00000000 00:00 0
417d6000-41994000 r-xp 00000000 00:0c 2121 /lib/x86_64-linux-gnu/libc-2.19.so
41994000-41b94000 ---p 001be000 00:0c 2121 /lib/x86_64-linux-gnu/libc-2.19.so
41b94000-41b98000 r--p 001be000 00:0c 2121 /lib/x86_64-linux-gnu/libc-2.19.so
41b98000-41b9a000 rw-p 001c2000 00:0c 2121 /lib/x86_64-linux-gnu/libc-2.19.so
41b9a000-41b9f000 rw-p 00000000 00:00 0
41b9f000-41ba2000 r-xp 00000000 00:0c 2425 /usr/lib/x86_64-linux-gnu/libgmodule-2.0.so.0.4800.0
41ba2000-41da1000 ---p 00003000 00:0c 2425 /usr/lib/x86_64-linux-gnu/libgmodule-2.0.so.0.4800.0
41da1000-41da2000 r--p 00002000 00:0c 2425 /usr/lib/x86_64-linux-gnu/libgmodule-2.0.so.0.4800.0
41da2000-41da3000 rw-p 00003000 00:0c 2425 /usr/lib/x86_64-linux-gnu/libgmodule-2.0.so.0.4800.0
41da3000-41dbb000 r-xp 00000000 00:0c 2042 /lib/x86_64-linux-gnu/libz.so.1.2.8
41dbb000-41fba000 ---p 00018000 00:0c 2042 /lib/x86_64-linux-gnu/libz.so.1.2.8
41fba000-41fbb000 r--p 00017000 00:0c 2042 /lib/x86_64-linux-gnu/libz.so.1.2.8
41fbb000-41fbc000 rw-p 00018000 00:0c 2042 /lib/x86_64-linux-gnu/libz.so.1.2.8
41fbc000-41fdc000 r-xp 00000000 00:0c 2117 /lib/x86_64-linux-gnu/libselinux.so.1
41fdc000-421db000 ---p 00020000 00:0c 2117 /lib/x86_64-linux-gnu/libselinux.so.1
421db000-421dc000 r--p 0001f000 00:0c 2117 /lib/x86_64-linux-gnu/libselinux.so.1
421dc000-421dd000 rw-p 00020000 00:0c 2117 /lib/x86_64-linux-gnu/libselinux.so.1
421dd000-421df000 rw-p 00000000 00:00 0
421df000-421f6000 r-xp 00000000 00:0c 2088 /lib/x86_64-linux-gnu/libresolv-2.19.so
421f6000-423f6000 ---p 00017000 00:0c 2088 /lib/x86_64-linux-gnu/libresolv-2.19.so
423f6000-423f7000 r--p 00017000 00:0c 2088 /lib/x86_64-linux-gnu/libresolv-2.19.so
423f7000-423f8000 rw-p 00018000 00:0c 2088 /lib/x86_64-linux-gnu/libresolv-2.19.so
423f8000-423fa000 rw-p 00000000 00:00 0
423fa000-42401000 r-xp 00000000 00:0c 32629 /usr/lib/x86_64-linux-gnu/libffi.so.6.0.1
42401000-42600000 ---p 00007000 00:0c 32629 /usr/lib/x86_64-linux-gnu/libffi.so.6.0.1
42600000-42601000 r--p 00006000 00:0c 32629 /usr/lib/x86_64-linux-gnu/libffi.so.6.0.1
42601000-42602000 rw-p 00007000 00:0c 32629 /usr/lib/x86_64-linux-gnu/libffi.so.6.0.1
42602000-4263f000 r-xp 00000000 00:0c 2168 /lib/x86_64-linux-gnu/libpcre.so.3.13.1
4263f000-4283e000 ---p 0003d000 00:0c 2168 /lib/x86_64-linux-gnu/libpcre.so.3.13.1
4283e000-4283f000 r--p 0003c000 00:0c 2168 /lib/x86_64-linux-gnu/libpcre.so.3.13.1
4283f000-42840000 rw-p 0003d000 00:0c 2168 /lib/x86_64-linux-gnu/libpcre.so.3.13.1
42840000-42871000 r-xp 00000000 00:0c 32489 /usr/lib/x86_64-linux-gnu/libidn.so.11.6.11
42871000-42a71000 ---p 00031000 00:0c 32489 /usr/lib/x86_64-linux-gnu/libidn.so.11.6.11
42a71000-42a72000 r--p 00031000 00:0c 32489 /usr/lib/x86_64-linux-gnu/libidn.so.11.6.11
42a72000-42a73000 rw-p 00032000 00:0c 32489 /usr/lib/x86_64-linux-gnu/libidn.so.11.6.11
42a73000-42a8c000 r-xp 00000000 00:0c 32198 /usr/lib/x86_64-linux-gnu/librtmp.so.0
42a8c000-42c8b000 ---p 00019000 00:0c 32198 /usr/lib/x86_64-linux-gnu/librtmp.so.0
42c8b000-42c8c000 r--p 00018000 00:0c 32198 /usr/lib/x86_64-linux-gnu/librtmp.so.0
42c8c000-42c8d000 rw-p 00019000 00:0c 32198 /usr/lib/x86_64-linux-gnu/librtmp.so.0
42c8d000-42cd1000 r-xp 00000000 00:0c 32595 /usr/lib/x86_64-linux-gnu/libgssapi_krb5.so.2.2
42cd1000-42ed1000 ---p 00044000 00:0c 32595 /usr/lib/x86_64-linux-gnu/libgssapi_krb5.so.2.2
42ed1000-42ed2000 r--p 00044000 00:0c 32595 /usr/lib/x86_64-linux-gnu/libgssapi_krb5.so.2.2
42ed2000-42ed4000 rw-p 00045000 00:0c 32595 /usr/lib/x86_64-linux-gnu/libgssapi_krb5.so.2.2
42ed4000-42ee1000 r-xp 00000000 00:0c 32505 /usr/lib/x86_64-linux-gnu/liblber-2.4.so.2.8.3
42ee1000-430e1000 ---p 0000d000 00:0c 32505 /usr/lib/x86_64-linux-gnu/liblber-2.4.so.2.8.3
430e1000-430e2000 r--p 0000d000 00:0c 32505 /usr/lib/x86_64-linux-gnu/liblber-2.4.so.2.8.3
430e2000-430e3000 rw-p 0000e000 00:0c 32505 /usr/lib/x86_64-linux-gnu/liblber-2.4.so.2.8.3
430e3000-43130000 r-xp 00000000 00:0c 32588 /usr/lib/x86_64-linux-gnu/libldap_r-2.4.so.2.8.3
43130000-4332f000 ---p 0004d000 00:0c 32588 /usr/lib/x86_64-linux-gnu/libldap_r-2.4.so.2.8.3
4332f000-43331000 r--p 0004c000 00:0c 32588 /usr/lib/x86_64-linux-gnu/libldap_r-2.4.so.2.8.3
43331000-43332000 rw-p 0004e000 00:0c 32588 /usr/lib/x86_64-linux-gnu/libldap_r-2.4.so.2.8.3
43332000-43334000 rw-p 00000000 00:00 0
43334000-43337000 r-xp 00000000 00:0c 2128 /lib/x86_64-linux-gnu/libdl-2.19.so
43337000-43536000 ---p 00003000 00:0c 2128 /lib/x86_64-linux-gnu/libdl-2.19.so
43536000-43537000 r--p 00002000 00:0c 2128 /lib/x86_64-linux-gnu/libdl-2.19.so
43537000-43538000 rw-p 00003000 00:0c 2128 /lib/x86_64-linux-gnu/libdl-2.19.so
43538000-435ef000 r-xp 00000000 00:0c 32525 /usr/lib/x86_64-linux-gnu/libgnutls.so.26.22.6
435ef000-437ef000 ---p 000b7000 00:0c 32525 /usr/lib/x86_64-linux-gnu/libgnutls.so.26.22.6
437ef000-437f5000 r--p 000b7000 00:0c 32525 /usr/lib/x86_64-linux-gnu/libgnutls.so.26.22.6
437f5000-437f6000 rw-p 000bd000 00:0c 32525 /usr/lib/x86_64-linux-gnu/libgnutls.so.26.22.6
437f6000-437f7000 rw-p 00000000 00:00 0
437f7000-43873000 r-xp 00000000 00:0c 2237 /lib/x86_64-linux-gnu/libgcrypt.so.11.8.2
43873000-43a73000 ---p 0007c000 00:0c 2237 /lib/x86_64-linux-gnu/libgcrypt.so.11.8.2
43a73000-43a74000 r--p 0007c000 00:0c 2237 /lib/x86_64-linux-gnu/libgcrypt.so.11.8.2
43a74000-43a77000 rw-p 0007d000 00:0c 2237 /lib/x86_64-linux-gnu/libgcrypt.so.11.8.2
43a77000-43b33000 r-xp 00000000 00:0c 32519 /usr/lib/x86_64-linux-gnu/libkrb5.so.3.3
43b33000-43d33000 ---p 000bc000 00:0c 32519 /usr/lib/x86_64-linux-gnu/libkrb5.so.3.3
43d33000-43d40000 r--p 000bc000 00:0c 32519 /usr/lib/x86_64-linux-gnu/libkrb5.so.3.3
43d40000-43d42000 rw-p 000c9000 00:0c 32519 /usr/lib/x86_64-linux-gnu/libkrb5.so.3.3
43d42000-43d6e000 r-xp 00000000 00:0c 32608 /usr/lib/x86_64-linux-gnu/libk5crypto.so.3.1
43d6e000-43f6d000 ---p 0002c000 00:0c 32608 /usr/lib/x86_64-linux-gnu/libk5crypto.so.3.1
43f6d000-43f6f000 r--p 0002b000 00:0c 32608 /usr/lib/x86_64-linux-gnu/libk5crypto.so.3.1
43f6f000-43f70000 rw-p 0002d000 00:0c 32608 /usr/lib/x86_64-linux-gnu/libk5crypto.so.3.1
43f70000-43f71000 rw-p 00000000 00:00 0
43f71000-43f74000 r-xp 00000000 00:0c 2187 /lib/x86_64-linux-gnu/libcom_err.so.2.1
43f74000-44173000 ---p 00003000 00:0c 2187 /lib/x86_64-linux-gnu/libcom_err.so.2.1
44173000-44174000 r--p 00002000 00:0c 2187 /lib/x86_64-linux-gnu/libcom_err.so.2.1
44174000-44175000 rw-p 00003000 00:0c 2187 /lib/x86_64-linux-gnu/libcom_err.so.2.1
44175000-4417f000 r-xp 00000000 00:0c 32501 /usr/lib/x86_64-linux-gnu/libkrb5support.so.0.1
4417f000-4437e000 ---p 0000a000 00:0c 32501 /usr/lib/x86_64-linux-gnu/libkrb5support.so.0.1
4437e000-4437f000 r--p 00009000 00:0c 32501 /usr/lib/x86_64-linux-gnu/libkrb5support.so.0.1
4437f000-44380000 rw-p 0000a000 00:0c 32501 /usr/lib/x86_64-linux-gnu/libkrb5support.so.0.1
44380000-44399000 r-xp 00000000 00:0c 32494 /usr/lib/x86_64-linux-gnu/libsasl2.so.2.0.25
44399000-44599000 ---p 00019000 00:0c 32494 /usr/lib/x86_64-linux-gnu/libsasl2.so.2.0.25
44599000-4459a000 r--p 00019000 00:0c 32494 /usr/lib/x86_64-linux-gnu/libsasl2.so.2.0.25
4459a000-4459b000 rw-p 0001a000 00:0c 32494 /usr/lib/x86_64-linux-gnu/libsasl2.so.2.0.25
4459b000-445d5000 r-xp 00000000 00:0c 32517 /usr/lib/x86_64-linux-gnu/libgssapi.so.3.0.0
445d5000-447d5000 ---p 0003a000 00:0c 32517 /usr/lib/x86_64-linux-gnu/libgssapi.so.3.0.0
447d5000-447d6000 r--p 0003a000 00:0c 32517 /usr/lib/x86_64-linux-gnu/libgssapi.so.3.0.0
447d6000-447d8000 rw-p 0003b000 00:0c 32517 /usr/lib/x86_64-linux-gnu/libgssapi.so.3.0.0
447d8000-447d9000 rw-p 00000000 00:00 0
447d9000-447eb000 r-xp 00000000 00:0c 32535 /usr/lib/x86_64-linux-gnu/libtasn1.so.6.2.0
447eb000-449eb000 ---p 00012000 00:0c 32535 /usr/lib/x86_64-linux-gnu/libtasn1.so.6.2.0
449eb000-449ec000 r--p 00012000 00:0c 32535 /usr/lib/x86_64-linux-gnu/libtasn1.so.6.2.0
449ec000-449ed000 rw-p 00013000 00:0c 32535 /usr/lib/x86_64-linux-gnu/libtasn1.so.6.2.0
449ed000-44a28000 r-xp 00000000 00:0c 32590 /usr/lib/x86_64-linux-gnu/libp11-kit.so.0.0.0
44a28000-44c27000 ---p 0003b000 00:0c 32590 /usr/lib/x86_64-linux-gnu/libp11-kit.so.0.0.0
44c27000-44c2d000 r--p 0003a000 00:0c 32590 /usr/lib/x86_64-linux-gnu/libp11-kit.so.0.0.0
44c2d000-44c2f000 rw-p 00040000 00:0c 32590 /usr/lib/x86_64-linux-gnu/libp11-kit.so.0.0.0
44c2f000-44c33000 r-xp 00000000 00:0c 2046 /lib/x86_64-linux-gnu/libgpg-error.so.0.10.0
44c33000-44e32000 ---p 00004000 00:0c 2046 /lib/x86_64-linux-gnu/libgpg-error.so.0.10.0
44e32000-44e33000 r--p 00003000 00:0c 2046 /lib/x86_64-linux-gnu/libgpg-error.so.0.10.0
44e33000-44e34000 rw-p 00004000 00:0c 2046 /lib/x86_64-linux-gnu/libgpg-error.so.0.10.0
44e34000-44e36000 r-xp 00000000 00:0c 2059 /lib/x86_64-linux-gnu/libkeyutils.so.1.4
44e36000-45036000 ---p 00002000 00:0c 2059 /lib/x86_64-linux-gnu/libkeyutils.so.1.4
45036000-45037000 r--p 00002000 00:0c 2059 /lib/x86_64-linux-gnu/libkeyutils.so.1.4
45037000-45038000 rw-p 00003000 00:0c 2059 /lib/x86_64-linux-gnu/libkeyutils.so.1.4
45038000-45040000 r-xp 00000000 00:0c 32482 /usr/lib/x86_64-linux-gnu/libheimntlm.so.0.1.0
45040000-4523f000 ---p 00008000 00:0c 32482 /usr/lib/x86_64-linux-gnu/libheimntlm.so.0.1.0
4523f000-45240000 r--p 00007000 00:0c 32482 /usr/lib/x86_64-linux-gnu/libheimntlm.so.0.1.0
45240000-45241000 rw-p 00008000 00:0c 32482 /usr/lib/x86_64-linux-gnu/libheimntlm.so.0.1.0
45241000-452c3000 r-xp 00000000 00:0c 32531 /usr/lib/x86_64-linux-gnu/libkrb5.so.26.0.0
452c3000-454c2000 ---p 00082000 00:0c 32531 /usr/lib/x86_64-linux-gnu/libkrb5.so.26.0.0
454c2000-454c5000 r--p 00081000 00:0c 32531 /usr/lib/x86_64-linux-gnu/libkrb5.so.26.0.0
454c5000-454c8000 rw-p 00084000 00:0c 32531 /usr/lib/x86_64-linux-gnu/libkrb5.so.26.0.0
454c8000-454c9000 rw-p 00000000 00:00 0
454c9000-45566000 r-xp 00000000 00:0c 32593 /usr/lib/x86_64-linux-gnu/libasn1.so.8.0.0
45566000-45766000 ---p 0009d000 00:0c 32593 /usr/lib/x86_64-linux-gnu/libasn1.so.8.0.0
45766000-45767000 r--p 0009d000 00:0c 32593 /usr/lib/x86_64-linux-gnu/libasn1.so.8.0.0
45767000-4576a000 rw-p 0009e000 00:0c 32593 /usr/lib/x86_64-linux-gnu/libasn1.so.8.0.0
4576a000-4579a000 r-xp 00000000 00:0c 32566 /usr/lib/x86_64-linux-gnu/libhcrypto.so.4.1.0
4579a000-4599a000 ---p 00030000 00:0c 32566 /usr/lib/x86_64-linux-gnu/libhcrypto.so.4.1.0
4599a000-4599b000 r--p 00030000 00:0c 32566 /usr/lib/x86_64-linux-gnu/libhcrypto.so.4.1.0
4599b000-4599c000 rw-p 00031000 00:0c 32566 /usr/lib/x86_64-linux-gnu/libhcrypto.so.4.1.0
4599c000-4599d000 rw-p 00000000 00:00 0
4599d000-459b1000 r-xp 00000000 00:0c 32550 /usr/lib/x86_64-linux-gnu/libroken.so.18.1.0
459b1000-45bb0000 ---p 00014000 00:0c 32550 /usr/lib/x86_64-linux-gnu/libroken.so.18.1.0
45bb0000-45bb1000 r--p 00013000 00:0c 32550 /usr/lib/x86_64-linux-gnu/libroken.so.18.1.0
45bb1000-45bb2000 rw-p 00014000 00:0c 32550 /usr/lib/x86_64-linux-gnu/libroken.so.18.1.0
45bb2000-45bd9000 r-xp 00000000 00:0c 32486 /usr/lib/x86_64-linux-gnu/libwind.so.0.0.0
45bd9000-45dd9000 ---p 00027000 00:0c 32486 /usr/lib/x86_64-linux-gnu/libwind.so.0.0.0
45dd9000-45dda000 r--p 00027000 00:0c 32486 /usr/lib/x86_64-linux-gnu/libwind.so.0.0.0
45dda000-45ddb000 rw-p 00028000 00:0c 32486 /usr/lib/x86_64-linux-gnu/libwind.so.0.0.0
45ddb000-45de8000 r-xp 00000000 00:0c 32527 /usr/lib/x86_64-linux-gnu/libheimbase.so.1.0.0
45de8000-45fe7000 ---p 0000d000 00:0c 32527 /usr/lib/x86_64-linux-gnu/libheimbase.so.1.0.0
45fe7000-45fe8000 r--p 0000c000 00:0c 32527 /usr/lib/x86_64-linux-gnu/libheimbase.so.1.0.0
45fe8000-45fe9000 rw-p 0000d000 00:0c 32527 /usr/lib/x86_64-linux-gnu/libheimbase.so.1.0.0
45fe9000-4602e000 r-xp 00000000 00:0c 32607 /usr/lib/x86_64-linux-gnu/libhx509.so.5.0.0
4602e000-4622d000 ---p 00045000 00:0c 32607 /usr/lib/x86_64-linux-gnu/libhx509.so.5.0.0
4622d000-4622f000 r--p 00044000 00:0c 32607 /usr/lib/x86_64-linux-gnu/libhx509.so.5.0.0
4622f000-46231000 rw-p 00046000 00:0c 32607 /usr/lib/x86_64-linux-gnu/libhx509.so.5.0.0
46231000-46232000 rw-p 00000000 00:00 0
46232000-462e6000 r-xp 00000000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
462e6000-464e6000 ---p 000b4000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
464e6000-464e8000 r--p 000b4000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
464e8000-464ea000 rw-p 000b6000 00:0c 32202 /usr/lib/x86_64-linux-gnu/libsqlite3.so.0.8.6
464ea000-464eb000 rw-p 00000000 00:00 0
464eb000-464f4000 r-xp 00000000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
464f4000-466f4000 ---p 00009000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
466f4000-466f5000 r--p 00009000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
466f5000-466f6000 rw-p 0000a000 00:0c 2176 /lib/x86_64-linux-gnu/libcrypt-2.19.so
466f6000-46724000 rw-p 00000000 00:00 0
46724000-46725000 ---p 00000000 00:00 0
46725000-46925000 rw-p 00000000 00:00 0
46925000-46926000 ---p 00000000 00:00 0
46926000-46b26000 rw-p 00000000 00:00 0
46b26000-46b3d000 r-xp 00000000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
46b3d000-46d3c000 ---p 00017000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
46d3c000-46d3d000 r--p 00016000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
46d3d000-46d3e000 rw-p 00017000 00:0c 1696 /lib/x86_64-linux-gnu/libgcc_s.so.1
48000000-48021000 rw-p 00000000 00:00 0
48021000-4c000000 ---p 00000000 00:00 0
4c000000-4c022000 rw-p 00000000 00:00 0
4c022000-50000000 ---p 00000000 00:00 0
7fbfacc000-7fbfaed000 rw-p 00000000 00:00 0
7fbffff000-7fc0000000 r-xp 00000000 00:00 0 [vdso]
ERROR: test/service.test - too few tests run (expected 3, got 2)
ERROR: test/service.test - exited with status 139 (terminated by signal 11?)
```
|
non_process
|
travis frequently fails with error test service test too few tests run expected got log output from travis ok service install pass test service test service install rauc message connection to the bus can t be made for de pengutronix rauc cleaning up pid segmentation fault ok service info pass test service test service info segmentation fault register dump rax rbx rcx rdx rsi rdi rbp rsp rip eflags cs fs gs trap error oldmask fpucw fpusw tag rip rdp st st st st st st st st mxcsr backtrace usr lib linux gnu libgio so usr lib linux gnu libgio so usr lib linux gnu libgio so g dbus connection signal subscribe usr lib linux gnu libgio so usr lib linux gnu libgio so usr lib linux gnu libgio so g initable new valist usr lib linux gnu libgio so g initable new home travis build ejoerns rauc rauc installer generated c r installer proxy new for bus sync home travis build ejoerns rauc test service c service test slot status lib linux gnu libglib so lib linux gnu libglib so lib linux gnu libglib so g test run suite lib linux gnu libglib so g test run home travis build ejoerns rauc test service c main lib linux gnu libc so libc start main start memory map r xp r xp home travis build ejoerns rauc test service test r p home travis build ejoerns rauc test service test rw p home travis build ejoerns rauc test service test rwxp r xp lib linux gnu ld so rw p r s usr lib linux gnu gconv gconv modules cache rw p rw p r p lib linux gnu ld so rw p lib linux gnu ld so rwxp r xp lib linux gnu libsegfault so p lib linux gnu libsegfault so r p lib linux gnu libsegfault so rw p lib linux gnu libsegfault so r xp usr lib linux gnu libgio so p usr lib linux gnu libgio so r p usr lib linux gnu libgio so rw p usr lib linux gnu libgio so rw p r xp usr lib linux gnu libgobject so p usr lib linux gnu libgobject so r p usr lib linux gnu libgobject so rw p usr lib linux gnu libgobject so r xp lib linux gnu libglib so p lib linux gnu libglib so r p lib linux gnu libglib so rw p lib linux gnu libglib so rw p r xp usr lib linux gnu libcurl so p usr lib linux gnu libcurl so r p usr lib linux gnu libcurl so rw p usr lib linux gnu libcurl so r xp lib linux gnu libssl so p lib linux gnu libssl so r p lib linux gnu libssl so rw p lib linux gnu libssl so r xp lib linux gnu libcrypto so p lib linux gnu libcrypto so r p lib linux gnu libcrypto so rw p lib linux gnu libcrypto so rw p r xp lib linux gnu libpthread so p lib linux gnu libpthread so r p lib linux gnu libpthread so rw p lib linux gnu libpthread so rw p r xp lib linux gnu libc so p lib linux gnu libc so r p lib linux gnu libc so rw p lib linux gnu libc so rw p r xp usr lib linux gnu libgmodule so p usr lib linux gnu libgmodule so r p usr lib linux gnu libgmodule so rw p usr lib linux gnu libgmodule so r xp lib linux gnu libz so p lib linux gnu libz so r p lib linux gnu libz so rw p lib linux gnu libz so r xp lib linux gnu libselinux so p lib linux gnu libselinux so r p lib linux gnu libselinux so rw p lib linux gnu libselinux so rw p r xp lib linux gnu libresolv so p lib linux gnu libresolv so r p lib linux gnu libresolv so rw p lib linux gnu libresolv so rw p r xp usr lib linux gnu libffi so p usr lib linux gnu libffi so r p usr lib linux gnu libffi so rw p usr lib linux gnu libffi so r xp lib linux gnu libpcre so p lib linux gnu libpcre so r p lib linux gnu libpcre so rw p lib linux gnu libpcre so r xp usr lib linux gnu libidn so p usr lib linux gnu libidn so r p usr lib linux gnu libidn so rw p usr lib linux gnu libidn so r xp usr lib linux gnu librtmp so p usr lib linux gnu librtmp so r p usr lib linux gnu librtmp so rw p usr lib linux gnu librtmp so r xp usr lib linux gnu libgssapi so p usr lib linux gnu libgssapi so r p usr lib linux gnu libgssapi so rw p usr lib linux gnu libgssapi so r xp usr lib linux gnu liblber so p usr lib linux gnu liblber so r p usr lib linux gnu liblber so rw p usr lib linux gnu liblber so r xp usr lib linux gnu libldap r so p usr lib linux gnu libldap r so r p usr lib linux gnu libldap r so rw p usr lib linux gnu libldap r so rw p r xp lib linux gnu libdl so p lib linux gnu libdl so r p lib linux gnu libdl so rw p lib linux gnu libdl so r xp usr lib linux gnu libgnutls so p usr lib linux gnu libgnutls so r p usr lib linux gnu libgnutls so rw p usr lib linux gnu libgnutls so rw p r xp lib linux gnu libgcrypt so p lib linux gnu libgcrypt so r p lib linux gnu libgcrypt so rw p lib linux gnu libgcrypt so r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so rw p r xp lib linux gnu libcom err so p lib linux gnu libcom err so r p lib linux gnu libcom err so rw p lib linux gnu libcom err so r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so r xp usr lib linux gnu libgssapi so p usr lib linux gnu libgssapi so r p usr lib linux gnu libgssapi so rw p usr lib linux gnu libgssapi so rw p r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so r xp usr lib linux gnu kit so p usr lib linux gnu kit so r p usr lib linux gnu kit so rw p usr lib linux gnu kit so r xp lib linux gnu libgpg error so p lib linux gnu libgpg error so r p lib linux gnu libgpg error so rw p lib linux gnu libgpg error so r xp lib linux gnu libkeyutils so p lib linux gnu libkeyutils so r p lib linux gnu libkeyutils so rw p lib linux gnu libkeyutils so r xp usr lib linux gnu libheimntlm so p usr lib linux gnu libheimntlm so r p usr lib linux gnu libheimntlm so rw p usr lib linux gnu libheimntlm so r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so rw p r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so r xp usr lib linux gnu libhcrypto so p usr lib linux gnu libhcrypto so r p usr lib linux gnu libhcrypto so rw p usr lib linux gnu libhcrypto so rw p r xp usr lib linux gnu libroken so p usr lib linux gnu libroken so r p usr lib linux gnu libroken so rw p usr lib linux gnu libroken so r xp usr lib linux gnu libwind so p usr lib linux gnu libwind so r p usr lib linux gnu libwind so rw p usr lib linux gnu libwind so r xp usr lib linux gnu libheimbase so p usr lib linux gnu libheimbase so r p usr lib linux gnu libheimbase so rw p usr lib linux gnu libheimbase so r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so rw p r xp usr lib linux gnu so p usr lib linux gnu so r p usr lib linux gnu so rw p usr lib linux gnu so rw p r xp lib linux gnu libcrypt so p lib linux gnu libcrypt so r p lib linux gnu libcrypt so rw p lib linux gnu libcrypt so rw p p rw p p rw p r xp lib linux gnu libgcc s so p lib linux gnu libgcc s so r p lib linux gnu libgcc s so rw p lib linux gnu libgcc s so rw p p rw p p rw p r xp error test service test too few tests run expected got error test service test exited with status terminated by signal
| 0
|
9,389
| 12,393,148,166
|
IssuesEvent
|
2020-05-20 15:00:17
|
cncf/cnf-conformance
|
https://api.github.com/repos/cncf/cnf-conformance
|
closed
|
[Process] more frequent, smaller merges
|
process sprint7
|
### [Process] big merges are problematic, start using more frequent, smaller merges
Tasks:
- [x] update process
- [ ] update documentation
|
1.0
|
[Process] more frequent, smaller merges - ### [Process] big merges are problematic, start using more frequent, smaller merges
Tasks:
- [x] update process
- [ ] update documentation
|
process
|
more frequent smaller merges big merges are problematic start using more frequent smaller merges tasks update process update documentation
| 1
|
21,938
| 30,446,798,830
|
IssuesEvent
|
2023-07-15 19:28:35
|
h4sh5/pypi-auto-scanner
|
https://api.github.com/repos/h4sh5/pypi-auto-scanner
|
opened
|
pyutils 0.0.1b11 has 2 GuardDog issues
|
guarddog typosquatting silent-process-execution
|
https://pypi.org/project/pyutils
https://inspector.pypi.io/project/pyutils
```{
"dependency": "pyutils",
"version": "0.0.1b11",
"result": {
"issues": 2,
"errors": {},
"results": {
"typosquatting": "This package closely ressembles the following package names, and might be a typosquatting attempt: python-utils, pytils",
"silent-process-execution": [
{
"location": "pyutils/exec_utils.py/pyutils/exec_utils.py:205",
"code": " subproc = subprocess.Popen(\n args,\n stdin=subprocess.DEVNULL,\n stdout=subprocess.DEVNULL,\n stderr=subprocess.DEVNULL,\n )",
"message": "This package is silently executing an external binary, redirecting stdout, stderr and stdin to /dev/null"
}
]
},
"path": "/tmp/tmp_atvexoz/pyutils"
}
}```
|
1.0
|
pyutils 0.0.1b11 has 2 GuardDog issues - https://pypi.org/project/pyutils
https://inspector.pypi.io/project/pyutils
```{
"dependency": "pyutils",
"version": "0.0.1b11",
"result": {
"issues": 2,
"errors": {},
"results": {
"typosquatting": "This package closely ressembles the following package names, and might be a typosquatting attempt: python-utils, pytils",
"silent-process-execution": [
{
"location": "pyutils/exec_utils.py/pyutils/exec_utils.py:205",
"code": " subproc = subprocess.Popen(\n args,\n stdin=subprocess.DEVNULL,\n stdout=subprocess.DEVNULL,\n stderr=subprocess.DEVNULL,\n )",
"message": "This package is silently executing an external binary, redirecting stdout, stderr and stdin to /dev/null"
}
]
},
"path": "/tmp/tmp_atvexoz/pyutils"
}
}```
|
process
|
pyutils has guarddog issues dependency pyutils version result issues errors results typosquatting this package closely ressembles the following package names and might be a typosquatting attempt python utils pytils silent process execution location pyutils exec utils py pyutils exec utils py code subproc subprocess popen n args n stdin subprocess devnull n stdout subprocess devnull n stderr subprocess devnull n message this package is silently executing an external binary redirecting stdout stderr and stdin to dev null path tmp tmp atvexoz pyutils
| 1
|
22,646
| 31,895,826,976
|
IssuesEvent
|
2023-09-18 01:31:54
|
tdwg/dwc
|
https://api.github.com/repos/tdwg/dwc
|
closed
|
Change term - earliestEpochOrLowestSeries
|
Term - change Class - GeologicalContext normative Task Group - Material Sample Process - complete
|
## Term change
* Submitter: [Material Sample Task Group](https://www.tdwg.org/community/osr/material-sample/)
* Efficacy Justification (why is this change necessary?): Create consistency of terms for material in Darwin Core.
* Demand Justification (if the change is semantic in nature, name at least two organizations that independently need this term): [Material Sample Task Group](https://www.tdwg.org/community/osr/material-sample/), which includes representatives of over 10 organizations.
* Stability Justification (what concerns are there that this might affect existing implementations?): None
* Implications for dwciri: namespace (does this change affect a dwciri term version)?: No
Current Term definition: https://dwc.tdwg.org/list/#dwc_earliestEpochOrLowestSeries
Proposed attributes of the new term version (Please put actual changes to be implemented in **bold** and ~strikethrough~):
* Term name (in lowerCamelCase for properties, UpperCamelCase for classes): earliestEpochOrLowestSeries
* Term label (English, not normative): Earliest Epoch Or Lowest Series
* * Organized in Class (e.g., Occurrence, Event, Location, Taxon): Geological Context
* Definition of the term (normative): The full name of the earliest possible geochronologic epoch or lowest chronostratigraphic series attributable to the stratigraphic horizon from which the ~~cataloged item~~**dwc:MaterialEntity** was collected.
* Usage comments (recommendations regarding content, etc., not normative):
* Examples (not normative): Holocene, Pleistocene, Ibexian Series
* Refines (identifier of the broader term this term refines; normative): None
* Replaces (identifier of the existing term that would be deprecated and replaced by this term; normative): None
* ABCD 2.06 (XPATH of the equivalent term in ABCD or EFG; not normative): not in ABCD
|
1.0
|
Change term - earliestEpochOrLowestSeries - ## Term change
* Submitter: [Material Sample Task Group](https://www.tdwg.org/community/osr/material-sample/)
* Efficacy Justification (why is this change necessary?): Create consistency of terms for material in Darwin Core.
* Demand Justification (if the change is semantic in nature, name at least two organizations that independently need this term): [Material Sample Task Group](https://www.tdwg.org/community/osr/material-sample/), which includes representatives of over 10 organizations.
* Stability Justification (what concerns are there that this might affect existing implementations?): None
* Implications for dwciri: namespace (does this change affect a dwciri term version)?: No
Current Term definition: https://dwc.tdwg.org/list/#dwc_earliestEpochOrLowestSeries
Proposed attributes of the new term version (Please put actual changes to be implemented in **bold** and ~strikethrough~):
* Term name (in lowerCamelCase for properties, UpperCamelCase for classes): earliestEpochOrLowestSeries
* Term label (English, not normative): Earliest Epoch Or Lowest Series
* * Organized in Class (e.g., Occurrence, Event, Location, Taxon): Geological Context
* Definition of the term (normative): The full name of the earliest possible geochronologic epoch or lowest chronostratigraphic series attributable to the stratigraphic horizon from which the ~~cataloged item~~**dwc:MaterialEntity** was collected.
* Usage comments (recommendations regarding content, etc., not normative):
* Examples (not normative): Holocene, Pleistocene, Ibexian Series
* Refines (identifier of the broader term this term refines; normative): None
* Replaces (identifier of the existing term that would be deprecated and replaced by this term; normative): None
* ABCD 2.06 (XPATH of the equivalent term in ABCD or EFG; not normative): not in ABCD
|
process
|
change term earliestepochorlowestseries term change submitter efficacy justification why is this change necessary create consistency of terms for material in darwin core demand justification if the change is semantic in nature name at least two organizations that independently need this term which includes representatives of over organizations stability justification what concerns are there that this might affect existing implementations none implications for dwciri namespace does this change affect a dwciri term version no current term definition proposed attributes of the new term version please put actual changes to be implemented in bold and strikethrough term name in lowercamelcase for properties uppercamelcase for classes earliestepochorlowestseries term label english not normative earliest epoch or lowest series organized in class e g occurrence event location taxon geological context definition of the term normative the full name of the earliest possible geochronologic epoch or lowest chronostratigraphic series attributable to the stratigraphic horizon from which the cataloged item dwc materialentity was collected usage comments recommendations regarding content etc not normative examples not normative holocene pleistocene ibexian series refines identifier of the broader term this term refines normative none replaces identifier of the existing term that would be deprecated and replaced by this term normative none abcd xpath of the equivalent term in abcd or efg not normative not in abcd
| 1
|
10,773
| 13,595,820,375
|
IssuesEvent
|
2020-09-22 04:18:12
|
MicrosoftDocs/azure-devops-docs
|
https://api.github.com/repos/MicrosoftDocs/azure-devops-docs
|
closed
|
Specify allowed parameter values in a separate file
|
Pri2 devops-cicd-process/tech devops/prod product-question
|
I want to specify the valid parameter values in a separate file. Is this possible ? As my available builds increase I want to be able to just update this file such that when a deployment job is run 'the values in this separate file of values' are the choices the user can pick from.
[Enter feedback here]
---
#### Document Details
⚠ *Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.*
* ID: 790318bb-8220-3241-4ca7-73351074492f
* Version Independent ID: db1da9db-3694-779b-17aa-1ed67fcecf86
* Content: [Use runtime and type-safe parameters - Azure Pipelines](https://docs.microsoft.com/en-us/azure/devops/pipelines/process/runtime-parameters?view=azure-devops&tabs=script)
* Content Source: [docs/pipelines/process/runtime-parameters.md](https://github.com/MicrosoftDocs/azure-devops-docs/blob/master/docs/pipelines/process/runtime-parameters.md)
* Product: **devops**
* Technology: **devops-cicd-process**
* GitHub Login: @juliakm
* Microsoft Alias: **jukullam**
|
1.0
|
Specify allowed parameter values in a separate file - I want to specify the valid parameter values in a separate file. Is this possible ? As my available builds increase I want to be able to just update this file such that when a deployment job is run 'the values in this separate file of values' are the choices the user can pick from.
[Enter feedback here]
---
#### Document Details
⚠ *Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.*
* ID: 790318bb-8220-3241-4ca7-73351074492f
* Version Independent ID: db1da9db-3694-779b-17aa-1ed67fcecf86
* Content: [Use runtime and type-safe parameters - Azure Pipelines](https://docs.microsoft.com/en-us/azure/devops/pipelines/process/runtime-parameters?view=azure-devops&tabs=script)
* Content Source: [docs/pipelines/process/runtime-parameters.md](https://github.com/MicrosoftDocs/azure-devops-docs/blob/master/docs/pipelines/process/runtime-parameters.md)
* Product: **devops**
* Technology: **devops-cicd-process**
* GitHub Login: @juliakm
* Microsoft Alias: **jukullam**
|
process
|
specify allowed parameter values in a separate file i want to specify the valid parameter values in a separate file is this possible as my available builds increase i want to be able to just update this file such that when a deployment job is run the values in this separate file of values are the choices the user can pick from document details ⚠ do not edit this section it is required for docs microsoft com ➟ github issue linking id version independent id content content source product devops technology devops cicd process github login juliakm microsoft alias jukullam
| 1
|
20,853
| 27,634,033,313
|
IssuesEvent
|
2023-03-10 13:08:37
|
core-wg/oscore-key-update
|
https://api.github.com/repos/core-wg/oscore-key-update
|
closed
|
Further corner cases
|
KUDOS Processing
|
0: Don't send non-KUDOS messages while KUDOS running.
1: An outgoing non-KUDOS message is always protected with the most recent security context.
2: Client must be ready to receive responses protected with key material different than that used to protect the corresponding request. This is the case if KUDOS is ran in between a request a corresponding response. For client-initiated KUDOS this can happen where the responses are observe notifications. For the server-initiated version, this can happen if the client uses NSTART > 1 and one of the requests results to be a KUDOS trigger. While the other requests would be server later by the server (after KUDOS) is done.
3: "Stuck-party": This can happen when the server-initiated version of KUDOS is used. Client is client-only, and only sending NON requests (not expecting a response). In this case the client never listens for responses, and thus doesn't get (process) KUDOS message [#1](https://github.com/rikard-sics/draft-hoeglund-oscore-rekeying-limits/-/issues/1) from the server. So rekeying can never start. To avoid this deadlock we can say that every X messages should listen for a response, or be CON.
|
1.0
|
Further corner cases - 0: Don't send non-KUDOS messages while KUDOS running.
1: An outgoing non-KUDOS message is always protected with the most recent security context.
2: Client must be ready to receive responses protected with key material different than that used to protect the corresponding request. This is the case if KUDOS is ran in between a request a corresponding response. For client-initiated KUDOS this can happen where the responses are observe notifications. For the server-initiated version, this can happen if the client uses NSTART > 1 and one of the requests results to be a KUDOS trigger. While the other requests would be server later by the server (after KUDOS) is done.
3: "Stuck-party": This can happen when the server-initiated version of KUDOS is used. Client is client-only, and only sending NON requests (not expecting a response). In this case the client never listens for responses, and thus doesn't get (process) KUDOS message [#1](https://github.com/rikard-sics/draft-hoeglund-oscore-rekeying-limits/-/issues/1) from the server. So rekeying can never start. To avoid this deadlock we can say that every X messages should listen for a response, or be CON.
|
process
|
further corner cases don t send non kudos messages while kudos running an outgoing non kudos message is always protected with the most recent security context client must be ready to receive responses protected with key material different than that used to protect the corresponding request this is the case if kudos is ran in between a request a corresponding response for client initiated kudos this can happen where the responses are observe notifications for the server initiated version this can happen if the client uses nstart and one of the requests results to be a kudos trigger while the other requests would be server later by the server after kudos is done stuck party this can happen when the server initiated version of kudos is used client is client only and only sending non requests not expecting a response in this case the client never listens for responses and thus doesn t get process kudos message from the server so rekeying can never start to avoid this deadlock we can say that every x messages should listen for a response or be con
| 1
|
86,949
| 10,522,316,336
|
IssuesEvent
|
2019-09-30 08:28:06
|
martingronlund/nxtpression
|
https://api.github.com/repos/martingronlund/nxtpression
|
opened
|
Optional RxJS dependency
|
documentation enhancement
|
- introduce a secondary package-independent compiler frontend, compiling templates for functions which report not just their values but also their asynchronous dependencies, for manual data and re-run tracking
- add separate tests file for this frontend
- turn `rxjs` into a peer dependency
- update documentation in accordance
|
1.0
|
Optional RxJS dependency - - introduce a secondary package-independent compiler frontend, compiling templates for functions which report not just their values but also their asynchronous dependencies, for manual data and re-run tracking
- add separate tests file for this frontend
- turn `rxjs` into a peer dependency
- update documentation in accordance
|
non_process
|
optional rxjs dependency introduce a secondary package independent compiler frontend compiling templates for functions which report not just their values but also their asynchronous dependencies for manual data and re run tracking add separate tests file for this frontend turn rxjs into a peer dependency update documentation in accordance
| 0
|
14,505
| 17,604,346,885
|
IssuesEvent
|
2021-08-17 15:16:50
|
qgis/QGIS-Documentation
|
https://api.github.com/repos/qgis/QGIS-Documentation
|
closed
|
[feature] add Create random raster algorithm
|
Automatic new feature Processing Alg 3.14
|
Original commit: https://github.com/qgis/QGIS/commit/9be53b65645bad572d0ebcf4f440818bfb6c87af by nyalldawson
Unfortunately this naughty coder did not write a description... :-(
|
1.0
|
[feature] add Create random raster algorithm - Original commit: https://github.com/qgis/QGIS/commit/9be53b65645bad572d0ebcf4f440818bfb6c87af by nyalldawson
Unfortunately this naughty coder did not write a description... :-(
|
process
|
add create random raster algorithm original commit by nyalldawson unfortunately this naughty coder did not write a description
| 1
|
9,320
| 4,479,367,736
|
IssuesEvent
|
2016-08-27 15:22:18
|
thibmaek/worker
|
https://api.github.com/repos/thibmaek/worker
|
closed
|
Build fails | Can not find test directory
|
breaks-build
|
```console
$ for TEST in tests/*; do chmod +x $TEST; done
chmod: tests/*: No such file or directory
The command "for TEST in tests/*; do chmod +x $TEST; done" failed and exited with 1 during .
```
|
1.0
|
Build fails | Can not find test directory - ```console
$ for TEST in tests/*; do chmod +x $TEST; done
chmod: tests/*: No such file or directory
The command "for TEST in tests/*; do chmod +x $TEST; done" failed and exited with 1 during .
```
|
non_process
|
build fails can not find test directory console for test in tests do chmod x test done chmod tests no such file or directory the command for test in tests do chmod x test done failed and exited with during
| 0
|
15,681
| 19,847,766,149
|
IssuesEvent
|
2022-01-21 08:51:11
|
ooi-data/CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_instrument_recovered
|
https://api.github.com/repos/ooi-data/CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_instrument_recovered
|
opened
|
🛑 Processing failed: ValueError
|
process
|
## Overview
`ValueError` found in `processing_task` task during run ended on 2022-01-21T08:51:10.821349.
## Details
Flow name: `CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_instrument_recovered`
Task name: `processing_task`
Error type: `ValueError`
Error message: not enough values to unpack (expected 3, got 0)
<details>
<summary>Traceback</summary>
```
Traceback (most recent call last):
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/pipeline.py", line 165, in processing
final_path = finalize_data_stream(
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 84, in finalize_data_stream
append_to_zarr(mod_ds, final_store, enc, logger=logger)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 357, in append_to_zarr
_append_zarr(store, mod_ds)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/utils.py", line 187, in _append_zarr
existing_arr.append(var_data.values)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/variable.py", line 519, in values
return _as_array_or_item(self._data)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/variable.py", line 259, in _as_array_or_item
data = np.asarray(data)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/array/core.py", line 1541, in __array__
x = self.compute()
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/base.py", line 288, in compute
(result,) = compute(self, traverse=False, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/base.py", line 571, in compute
results = schedule(dsk, keys, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/threaded.py", line 79, in get
results = get_async(
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/local.py", line 507, in get_async
raise_exception(exc, tb)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/local.py", line 315, in reraise
raise exc
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/local.py", line 220, in execute_task
result = _execute_task(task, data)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/core.py", line 119, in _execute_task
return func(*(_execute_task(a, cache) for a in args))
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/array/core.py", line 116, in getter
c = np.asarray(c)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 357, in __array__
return np.asarray(self.array, dtype=dtype)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 551, in __array__
self._ensure_cached()
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 548, in _ensure_cached
self.array = NumpyIndexingAdapter(np.asarray(self.array))
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 521, in __array__
return np.asarray(self.array, dtype=dtype)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 422, in __array__
return np.asarray(array[self.key], dtype=None)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/backends/zarr.py", line 73, in __getitem__
return array[key.tuple]
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 673, in __getitem__
return self.get_basic_selection(selection, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 798, in get_basic_selection
return self._get_basic_selection_nd(selection=selection, out=out,
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 841, in _get_basic_selection_nd
return self._get_selection(indexer=indexer, out=out, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1135, in _get_selection
lchunk_coords, lchunk_selection, lout_selection = zip(*indexer)
ValueError: not enough values to unpack (expected 3, got 0)
```
</details>
|
1.0
|
🛑 Processing failed: ValueError - ## Overview
`ValueError` found in `processing_task` task during run ended on 2022-01-21T08:51:10.821349.
## Details
Flow name: `CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_instrument_recovered`
Task name: `processing_task`
Error type: `ValueError`
Error message: not enough values to unpack (expected 3, got 0)
<details>
<summary>Traceback</summary>
```
Traceback (most recent call last):
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/pipeline.py", line 165, in processing
final_path = finalize_data_stream(
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 84, in finalize_data_stream
append_to_zarr(mod_ds, final_store, enc, logger=logger)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/__init__.py", line 357, in append_to_zarr
_append_zarr(store, mod_ds)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/ooi_harvester/processor/utils.py", line 187, in _append_zarr
existing_arr.append(var_data.values)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/variable.py", line 519, in values
return _as_array_or_item(self._data)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/variable.py", line 259, in _as_array_or_item
data = np.asarray(data)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/array/core.py", line 1541, in __array__
x = self.compute()
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/base.py", line 288, in compute
(result,) = compute(self, traverse=False, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/base.py", line 571, in compute
results = schedule(dsk, keys, **kwargs)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/threaded.py", line 79, in get
results = get_async(
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/local.py", line 507, in get_async
raise_exception(exc, tb)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/local.py", line 315, in reraise
raise exc
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/local.py", line 220, in execute_task
result = _execute_task(task, data)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/core.py", line 119, in _execute_task
return func(*(_execute_task(a, cache) for a in args))
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/dask/array/core.py", line 116, in getter
c = np.asarray(c)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 357, in __array__
return np.asarray(self.array, dtype=dtype)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 551, in __array__
self._ensure_cached()
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 548, in _ensure_cached
self.array = NumpyIndexingAdapter(np.asarray(self.array))
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 521, in __array__
return np.asarray(self.array, dtype=dtype)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/core/indexing.py", line 422, in __array__
return np.asarray(array[self.key], dtype=None)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/xarray/backends/zarr.py", line 73, in __getitem__
return array[key.tuple]
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 673, in __getitem__
return self.get_basic_selection(selection, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 798, in get_basic_selection
return self._get_basic_selection_nd(selection=selection, out=out,
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 841, in _get_basic_selection_nd
return self._get_selection(indexer=indexer, out=out, fields=fields)
File "/srv/conda/envs/notebook/lib/python3.9/site-packages/zarr/core.py", line 1135, in _get_selection
lchunk_coords, lchunk_selection, lout_selection = zip(*indexer)
ValueError: not enough values to unpack (expected 3, got 0)
```
</details>
|
process
|
🛑 processing failed valueerror overview valueerror found in processing task task during run ended on details flow name recovered host phsen abcdef dcl instrument recovered task name processing task error type valueerror error message not enough values to unpack expected got traceback traceback most recent call last file srv conda envs notebook lib site packages ooi harvester processor pipeline py line in processing final path finalize data stream file srv conda envs notebook lib site packages ooi harvester processor init py line in finalize data stream append to zarr mod ds final store enc logger logger file srv conda envs notebook lib site packages ooi harvester processor init py line in append to zarr append zarr store mod ds file srv conda envs notebook lib site packages ooi harvester processor utils py line in append zarr existing arr append var data values file srv conda envs notebook lib site packages xarray core variable py line in values return as array or item self data file srv conda envs notebook lib site packages xarray core variable py line in as array or item data np asarray data file srv conda envs notebook lib site packages dask array core py line in array x self compute file srv conda envs notebook lib site packages dask base py line in compute result compute self traverse false kwargs file srv conda envs notebook lib site packages dask base py line in compute results schedule dsk keys kwargs file srv conda envs notebook lib site packages dask threaded py line in get results get async file srv conda envs notebook lib site packages dask local py line in get async raise exception exc tb file srv conda envs notebook lib site packages dask local py line in reraise raise exc file srv conda envs notebook lib site packages dask local py line in execute task result execute task task data file srv conda envs notebook lib site packages dask core py line in execute task return func execute task a cache for a in args file srv conda envs notebook lib site packages dask array core py line in getter c np asarray c file srv conda envs notebook lib site packages xarray core indexing py line in array return np asarray self array dtype dtype file srv conda envs notebook lib site packages xarray core indexing py line in array self ensure cached file srv conda envs notebook lib site packages xarray core indexing py line in ensure cached self array numpyindexingadapter np asarray self array file srv conda envs notebook lib site packages xarray core indexing py line in array return np asarray self array dtype dtype file srv conda envs notebook lib site packages xarray core indexing py line in array return np asarray array dtype none file srv conda envs notebook lib site packages xarray backends zarr py line in getitem return array file srv conda envs notebook lib site packages zarr core py line in getitem return self get basic selection selection fields fields file srv conda envs notebook lib site packages zarr core py line in get basic selection return self get basic selection nd selection selection out out file srv conda envs notebook lib site packages zarr core py line in get basic selection nd return self get selection indexer indexer out out fields fields file srv conda envs notebook lib site packages zarr core py line in get selection lchunk coords lchunk selection lout selection zip indexer valueerror not enough values to unpack expected got
| 1
|
22,497
| 31,475,505,325
|
IssuesEvent
|
2023-08-30 10:23:50
|
quark-engine/quark-engine
|
https://api.github.com/repos/quark-engine/quark-engine
|
closed
|
Prepare to release version v23.8.1
|
issue-processing-state-04
|
Update the version number in init.py for releasing the latest version of Quark.
In this version, the following changes will be included.
* #534
* #535
* #536
* #537
* #539
* #540
* #542
|
1.0
|
Prepare to release version v23.8.1 - Update the version number in init.py for releasing the latest version of Quark.
In this version, the following changes will be included.
* #534
* #535
* #536
* #537
* #539
* #540
* #542
|
process
|
prepare to release version update the version number in init py for releasing the latest version of quark in this version the following changes will be included
| 1
|
5,572
| 8,408,193,190
|
IssuesEvent
|
2018-10-12 00:07:51
|
YousefAboElFoul/TrashScan
|
https://api.github.com/repos/YousefAboElFoul/TrashScan
|
closed
|
As a developer, I would like to have a set of test data to work with
|
High Priority Video Processing
|
Gather series of items that will be thrown out in TrashScan. Capture a 5 second video of them and upload it to the testFootage folder.
|
1.0
|
As a developer, I would like to have a set of test data to work with - Gather series of items that will be thrown out in TrashScan. Capture a 5 second video of them and upload it to the testFootage folder.
|
process
|
as a developer i would like to have a set of test data to work with gather series of items that will be thrown out in trashscan capture a second video of them and upload it to the testfootage folder
| 1
|
74,469
| 15,349,986,653
|
IssuesEvent
|
2021-03-01 01:02:29
|
robertjfinn/hadoop
|
https://api.github.com/repos/robertjfinn/hadoop
|
opened
|
CVE-2021-23337 (High) detected in multiple libraries
|
security vulnerability
|
## CVE-2021-23337 - High Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>lodash-4.17.15.tgz</b>, <b>lodash-2.4.2.tgz</b>, <b>lodash-3.10.1.tgz</b></p></summary>
<p>
<details><summary><b>lodash-4.17.15.tgz</b></p></summary>
<p>Lodash modular utilities.</p>
<p>Library home page: <a href="https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz">https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz</a></p>
<p>Path to dependency file: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json</p>
<p>Path to vulnerable library: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/lodash/package.json,hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/lodash/package.json</p>
<p>
Dependency Hierarchy:
- apidoc-0.17.7.tgz (Root Library)
- :x: **lodash-4.17.15.tgz** (Vulnerable Library)
</details>
<details><summary><b>lodash-2.4.2.tgz</b></p></summary>
<p>A utility library delivering consistency, customization, performance, & extras.</p>
<p>Library home page: <a href="https://registry.npmjs.org/lodash/-/lodash-2.4.2.tgz">https://registry.npmjs.org/lodash/-/lodash-2.4.2.tgz</a></p>
<p>Path to dependency file: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json</p>
<p>Path to vulnerable library: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/inquirer/node_modules/lodash/package.json</p>
<p>
Dependency Hierarchy:
- ember-cli-1.13.14.tgz (Root Library)
- inquirer-0.5.1.tgz
- :x: **lodash-2.4.2.tgz** (Vulnerable Library)
</details>
<details><summary><b>lodash-3.10.1.tgz</b></p></summary>
<p>The modern build of lodash modular utilities.</p>
<p>Library home page: <a href="https://registry.npmjs.org/lodash/-/lodash-3.10.1.tgz">https://registry.npmjs.org/lodash/-/lodash-3.10.1.tgz</a></p>
<p>Path to dependency file: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json</p>
<p>Path to vulnerable library: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/babel-plugin-proto-to-assign/node_modules/lodash/package.json</p>
<p>
Dependency Hierarchy:
- ember-cli-1.13.14.tgz (Root Library)
- :x: **lodash-3.10.1.tgz** (Vulnerable Library)
</details>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/high_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
All versions of package lodash; all versions of package org.fujion.webjars:lodash are vulnerable to Command Injection via template.
<p>Publish Date: 2021-02-15
<p>URL: <a href=https://vuln.whitesourcesoftware.com/vulnerability/CVE-2021-23337>CVE-2021-23337</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>7.2</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: High
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://github.com/lodash/lodash/commit/3469357cff396a26c363f8c1b5a91dde28ba4b1c">https://github.com/lodash/lodash/commit/3469357cff396a26c363f8c1b5a91dde28ba4b1c</a></p>
<p>Release Date: 2021-02-15</p>
<p>Fix Resolution: lodash - 4.17.21</p>
</p>
</details>
<p></p>
<!-- <REMEDIATE>{"isOpenPROnVulnerability":false,"isPackageBased":true,"isDefaultBranch":true,"packages":[{"packageType":"javascript/Node.js","packageName":"lodash","packageVersion":"4.17.15","packageFilePaths":["/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json","/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-catalog/hadoop-yarn-applications-catalog-webapp/package.json"],"isTransitiveDependency":true,"dependencyTree":"apidoc:0.17.7;lodash:4.17.15","isMinimumFixVersionAvailable":true,"minimumFixVersion":"lodash - 4.17.21"},{"packageType":"javascript/Node.js","packageName":"lodash","packageVersion":"2.4.2","packageFilePaths":["/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json"],"isTransitiveDependency":true,"dependencyTree":"ember-cli:1.13.14;inquirer:0.5.1;lodash:2.4.2","isMinimumFixVersionAvailable":true,"minimumFixVersion":"lodash - 4.17.21"},{"packageType":"javascript/Node.js","packageName":"lodash","packageVersion":"3.10.1","packageFilePaths":["/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json"],"isTransitiveDependency":true,"dependencyTree":"ember-cli:1.13.14;lodash:3.10.1","isMinimumFixVersionAvailable":true,"minimumFixVersion":"lodash - 4.17.21"}],"baseBranches":[],"vulnerabilityIdentifier":"CVE-2021-23337","vulnerabilityDetails":"All versions of package lodash; all versions of package org.fujion.webjars:lodash are vulnerable to Command Injection via template.","vulnerabilityUrl":"https://vuln.whitesourcesoftware.com/vulnerability/CVE-2021-23337","cvss3Severity":"high","cvss3Score":"7.2","cvss3Metrics":{"A":"High","AC":"Low","PR":"High","S":"Unchanged","C":"High","UI":"None","AV":"Network","I":"High"},"extraData":{}}</REMEDIATE> -->
|
True
|
CVE-2021-23337 (High) detected in multiple libraries - ## CVE-2021-23337 - High Severity Vulnerability
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/vulnerability_details.png' width=19 height=20> Vulnerable Libraries - <b>lodash-4.17.15.tgz</b>, <b>lodash-2.4.2.tgz</b>, <b>lodash-3.10.1.tgz</b></p></summary>
<p>
<details><summary><b>lodash-4.17.15.tgz</b></p></summary>
<p>Lodash modular utilities.</p>
<p>Library home page: <a href="https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz">https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz</a></p>
<p>Path to dependency file: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json</p>
<p>Path to vulnerable library: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/lodash/package.json,hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/lodash/package.json</p>
<p>
Dependency Hierarchy:
- apidoc-0.17.7.tgz (Root Library)
- :x: **lodash-4.17.15.tgz** (Vulnerable Library)
</details>
<details><summary><b>lodash-2.4.2.tgz</b></p></summary>
<p>A utility library delivering consistency, customization, performance, & extras.</p>
<p>Library home page: <a href="https://registry.npmjs.org/lodash/-/lodash-2.4.2.tgz">https://registry.npmjs.org/lodash/-/lodash-2.4.2.tgz</a></p>
<p>Path to dependency file: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json</p>
<p>Path to vulnerable library: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/inquirer/node_modules/lodash/package.json</p>
<p>
Dependency Hierarchy:
- ember-cli-1.13.14.tgz (Root Library)
- inquirer-0.5.1.tgz
- :x: **lodash-2.4.2.tgz** (Vulnerable Library)
</details>
<details><summary><b>lodash-3.10.1.tgz</b></p></summary>
<p>The modern build of lodash modular utilities.</p>
<p>Library home page: <a href="https://registry.npmjs.org/lodash/-/lodash-3.10.1.tgz">https://registry.npmjs.org/lodash/-/lodash-3.10.1.tgz</a></p>
<p>Path to dependency file: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json</p>
<p>Path to vulnerable library: hadoop/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/node_modules/babel-plugin-proto-to-assign/node_modules/lodash/package.json</p>
<p>
Dependency Hierarchy:
- ember-cli-1.13.14.tgz (Root Library)
- :x: **lodash-3.10.1.tgz** (Vulnerable Library)
</details>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/high_vul.png' width=19 height=20> Vulnerability Details</summary>
<p>
All versions of package lodash; all versions of package org.fujion.webjars:lodash are vulnerable to Command Injection via template.
<p>Publish Date: 2021-02-15
<p>URL: <a href=https://vuln.whitesourcesoftware.com/vulnerability/CVE-2021-23337>CVE-2021-23337</a></p>
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/cvss3.png' width=19 height=20> CVSS 3 Score Details (<b>7.2</b>)</summary>
<p>
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: High
- User Interaction: None
- Scope: Unchanged
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
</p>
For more information on CVSS3 Scores, click <a href="https://www.first.org/cvss/calculator/3.0">here</a>.
</p>
</details>
<p></p>
<details><summary><img src='https://whitesource-resources.whitesourcesoftware.com/suggested_fix.png' width=19 height=20> Suggested Fix</summary>
<p>
<p>Type: Upgrade version</p>
<p>Origin: <a href="https://github.com/lodash/lodash/commit/3469357cff396a26c363f8c1b5a91dde28ba4b1c">https://github.com/lodash/lodash/commit/3469357cff396a26c363f8c1b5a91dde28ba4b1c</a></p>
<p>Release Date: 2021-02-15</p>
<p>Fix Resolution: lodash - 4.17.21</p>
</p>
</details>
<p></p>
<!-- <REMEDIATE>{"isOpenPROnVulnerability":false,"isPackageBased":true,"isDefaultBranch":true,"packages":[{"packageType":"javascript/Node.js","packageName":"lodash","packageVersion":"4.17.15","packageFilePaths":["/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json","/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-applications-catalog/hadoop-yarn-applications-catalog-webapp/package.json"],"isTransitiveDependency":true,"dependencyTree":"apidoc:0.17.7;lodash:4.17.15","isMinimumFixVersionAvailable":true,"minimumFixVersion":"lodash - 4.17.21"},{"packageType":"javascript/Node.js","packageName":"lodash","packageVersion":"2.4.2","packageFilePaths":["/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json"],"isTransitiveDependency":true,"dependencyTree":"ember-cli:1.13.14;inquirer:0.5.1;lodash:2.4.2","isMinimumFixVersionAvailable":true,"minimumFixVersion":"lodash - 4.17.21"},{"packageType":"javascript/Node.js","packageName":"lodash","packageVersion":"3.10.1","packageFilePaths":["/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/src/main/webapp/package.json"],"isTransitiveDependency":true,"dependencyTree":"ember-cli:1.13.14;lodash:3.10.1","isMinimumFixVersionAvailable":true,"minimumFixVersion":"lodash - 4.17.21"}],"baseBranches":[],"vulnerabilityIdentifier":"CVE-2021-23337","vulnerabilityDetails":"All versions of package lodash; all versions of package org.fujion.webjars:lodash are vulnerable to Command Injection via template.","vulnerabilityUrl":"https://vuln.whitesourcesoftware.com/vulnerability/CVE-2021-23337","cvss3Severity":"high","cvss3Score":"7.2","cvss3Metrics":{"A":"High","AC":"Low","PR":"High","S":"Unchanged","C":"High","UI":"None","AV":"Network","I":"High"},"extraData":{}}</REMEDIATE> -->
|
non_process
|
cve high detected in multiple libraries cve high severity vulnerability vulnerable libraries lodash tgz lodash tgz lodash tgz lodash tgz lodash modular utilities library home page a href path to dependency file hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp package json path to vulnerable library hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp node modules lodash package json hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp node modules lodash package json dependency hierarchy apidoc tgz root library x lodash tgz vulnerable library lodash tgz a utility library delivering consistency customization performance extras library home page a href path to dependency file hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp package json path to vulnerable library hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp node modules inquirer node modules lodash package json dependency hierarchy ember cli tgz root library inquirer tgz x lodash tgz vulnerable library lodash tgz the modern build of lodash modular utilities library home page a href path to dependency file hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp package json path to vulnerable library hadoop hadoop yarn project hadoop yarn hadoop yarn ui src main webapp node modules babel plugin proto to assign node modules lodash package json dependency hierarchy ember cli tgz root library x lodash tgz vulnerable library vulnerability details all versions of package lodash all versions of package org fujion webjars lodash are vulnerable to command injection via template publish date url a href cvss score details base score metrics exploitability metrics attack vector network attack complexity low privileges required high user interaction none scope unchanged impact metrics confidentiality impact high integrity impact high availability impact high for more information on scores click a href suggested fix type upgrade version origin a href release date fix resolution lodash isopenpronvulnerability false ispackagebased true isdefaultbranch true packages istransitivedependency true dependencytree apidoc lodash isminimumfixversionavailable true minimumfixversion lodash packagetype javascript node js packagename lodash packageversion packagefilepaths istransitivedependency true dependencytree ember cli inquirer lodash isminimumfixversionavailable true minimumfixversion lodash packagetype javascript node js packagename lodash packageversion packagefilepaths istransitivedependency true dependencytree ember cli lodash isminimumfixversionavailable true minimumfixversion lodash basebranches vulnerabilityidentifier cve vulnerabilitydetails all versions of package lodash all versions of package org fujion webjars lodash are vulnerable to command injection via template vulnerabilityurl
| 0
|
6,396
| 9,479,933,642
|
IssuesEvent
|
2019-04-20 13:28:50
|
SerialLain3170/GAN-papers
|
https://api.github.com/repos/SerialLain3170/GAN-papers
|
opened
|
Temporal Cycle-Consistency Learning
|
Video Processing
|
# Paper
[Temporal Cycle-Consistency Learning](https://arxiv.org/pdf/1904.07846.pdf)
# Summary
- 二つの系列データを教師なし学習で同期をとる
- Encodeしたものに対して最近傍のものを選び、正しく最近傍ならCycle-consistency lossを与える
<img width="870" alt="スクリーンショット 2019-04-20 22 22 00" src="https://user-images.githubusercontent.com/32360147/56457802-d92a3680-63ba-11e9-94fe-61462a7b0855.png">
# Date
2019/04/16
|
1.0
|
Temporal Cycle-Consistency Learning - # Paper
[Temporal Cycle-Consistency Learning](https://arxiv.org/pdf/1904.07846.pdf)
# Summary
- 二つの系列データを教師なし学習で同期をとる
- Encodeしたものに対して最近傍のものを選び、正しく最近傍ならCycle-consistency lossを与える
<img width="870" alt="スクリーンショット 2019-04-20 22 22 00" src="https://user-images.githubusercontent.com/32360147/56457802-d92a3680-63ba-11e9-94fe-61462a7b0855.png">
# Date
2019/04/16
|
process
|
temporal cycle consistency learning paper summary 二つの系列データを教師なし学習で同期をとる encodeしたものに対して最近傍のものを選び、正しく最近傍ならcycle consistency lossを与える img width alt スクリーンショット src date
| 1
|
22,459
| 31,237,032,918
|
IssuesEvent
|
2023-08-20 12:08:05
|
Warzone2100/map-submission
|
https://api.github.com/repos/Warzone2100/map-submission
|
opened
|
[MAP]: 2c-AmigosMap1v1FB
|
map unprocessed
|
### Upload Map
[2c-AmigosMap1v1FB.zip](https://github.com/Warzone2100/map-submission/files/12388111/2c-AmigosMap1v1FB.zip)
### Authorship
Mine: I am the author of this map
### Map Description (optional)
_No response_
### Notes for Reviewers (optional)
_No response_
|
1.0
|
[MAP]: 2c-AmigosMap1v1FB - ### Upload Map
[2c-AmigosMap1v1FB.zip](https://github.com/Warzone2100/map-submission/files/12388111/2c-AmigosMap1v1FB.zip)
### Authorship
Mine: I am the author of this map
### Map Description (optional)
_No response_
### Notes for Reviewers (optional)
_No response_
|
process
|
upload map authorship mine i am the author of this map map description optional no response notes for reviewers optional no response
| 1
|
77,958
| 27,253,072,653
|
IssuesEvent
|
2023-02-22 09:34:26
|
vector-im/element-ios
|
https://api.github.com/repos/vector-im/element-ios
|
opened
|
An error message is displayed during the room creation when starting a new chat by inviting a participant by his e-mail
|
T-Defect A-Identity-Server O-Frequent A-Create-Room
|
### Steps to reproduce
When a user is invited to start a new chat by his e-mail address, a check of the identity server terms is missing.
We should probably ask the user to accept Server Identity Terms before trying to create the room.
Steps to reproduce:
Use an account that haven't accepted yet the Terms of use for the Identity server
Start a new chat, enter an e-mail address, click on it and start the chat.
### Outcome
#### What did you expect?
A new chat created with the other participant
#### What happened instead?
An error message is displayed because the API call /createRoom fails with a 500 Internal Server Error.
If we accept Identity Server Terms, the room creation is successful.
#### Additional information:
Here is the POST returning an error (For more clarity I replaced, below, the id_access_token by '[token]' and removed the headers)
```
POST /_matrix/client/r0/createRoom HTTP/1.1
{"visibility":"private","is_direct":true,"preset":"trusted_private_chat","invite_3pid":[{"medium":"email","id_server":"vector.im","id_access_token":"[token]","address":"nicolas.mauri@gmail.com"}]}
```
-->
```
HTTP/1.1 500 Internal Server Error
{"errcode":"M_UNKNOWN","error":"Internal server error"}
```
<img src="https://user-images.githubusercontent.com/4334885/220576799-c6d90ff5-9bde-41b0-8f85-30902ab37d1c.PNG" width="50%" height="50%">
<img src="https://user-images.githubusercontent.com/4334885/220576814-abc7cff0-718d-486f-a5e0-56aec1d0ac84.PNG" width="50%" height="50%">
<img src="https://user-images.githubusercontent.com/4334885/220576843-bc55ebac-f405-4f55-8603-f2c2aa047d74.PNG" width="50%" height="50%">
### Your phone model
_No response_
### Operating system version
_No response_
### Application version
1.10.3
### Homeserver
_No response_
### Will you send logs?
No
|
1.0
|
An error message is displayed during the room creation when starting a new chat by inviting a participant by his e-mail - ### Steps to reproduce
When a user is invited to start a new chat by his e-mail address, a check of the identity server terms is missing.
We should probably ask the user to accept Server Identity Terms before trying to create the room.
Steps to reproduce:
Use an account that haven't accepted yet the Terms of use for the Identity server
Start a new chat, enter an e-mail address, click on it and start the chat.
### Outcome
#### What did you expect?
A new chat created with the other participant
#### What happened instead?
An error message is displayed because the API call /createRoom fails with a 500 Internal Server Error.
If we accept Identity Server Terms, the room creation is successful.
#### Additional information:
Here is the POST returning an error (For more clarity I replaced, below, the id_access_token by '[token]' and removed the headers)
```
POST /_matrix/client/r0/createRoom HTTP/1.1
{"visibility":"private","is_direct":true,"preset":"trusted_private_chat","invite_3pid":[{"medium":"email","id_server":"vector.im","id_access_token":"[token]","address":"nicolas.mauri@gmail.com"}]}
```
-->
```
HTTP/1.1 500 Internal Server Error
{"errcode":"M_UNKNOWN","error":"Internal server error"}
```
<img src="https://user-images.githubusercontent.com/4334885/220576799-c6d90ff5-9bde-41b0-8f85-30902ab37d1c.PNG" width="50%" height="50%">
<img src="https://user-images.githubusercontent.com/4334885/220576814-abc7cff0-718d-486f-a5e0-56aec1d0ac84.PNG" width="50%" height="50%">
<img src="https://user-images.githubusercontent.com/4334885/220576843-bc55ebac-f405-4f55-8603-f2c2aa047d74.PNG" width="50%" height="50%">
### Your phone model
_No response_
### Operating system version
_No response_
### Application version
1.10.3
### Homeserver
_No response_
### Will you send logs?
No
|
non_process
|
an error message is displayed during the room creation when starting a new chat by inviting a participant by his e mail steps to reproduce when a user is invited to start a new chat by his e mail address a check of the identity server terms is missing we should probably ask the user to accept server identity terms before trying to create the room steps to reproduce use an account that haven t accepted yet the terms of use for the identity server start a new chat enter an e mail address click on it and start the chat outcome what did you expect a new chat created with the other participant what happened instead an error message is displayed because the api call createroom fails with a internal server error if we accept identity server terms the room creation is successful additional information here is the post returning an error for more clarity i replaced below the id access token by and removed the headers post matrix client createroom http visibility private is direct true preset trusted private chat invite address nicolas mauri gmail com http internal server error errcode m unknown error internal server error your phone model no response operating system version no response application version homeserver no response will you send logs no
| 0
|
454
| 2,894,586,183
|
IssuesEvent
|
2015-06-16 01:06:25
|
processing/processing
|
https://api.github.com/repos/processing/processing
|
closed
|
libraries in java tabs (separate .java files) are reported missing
|
imported low preprocessor wontfix
|
_Original author: fjen...@gmail.com (November 27, 2010 14:41:10)_
Libraries imported in .java tabs are reported missing. This happens even for the included libraries as for example processing.pdf . Workaround is to import the library again in one of the "normal" tabs.
_Original issue: http://code.google.com/p/processing/issues/detail?id=459_
|
1.0
|
libraries in java tabs (separate .java files) are reported missing - _Original author: fjen...@gmail.com (November 27, 2010 14:41:10)_
Libraries imported in .java tabs are reported missing. This happens even for the included libraries as for example processing.pdf . Workaround is to import the library again in one of the "normal" tabs.
_Original issue: http://code.google.com/p/processing/issues/detail?id=459_
|
process
|
libraries in java tabs separate java files are reported missing original author fjen gmail com november libraries imported in java tabs are reported missing this happens even for the included libraries as for example processing pdf workaround is to import the library again in one of the quot normal quot tabs original issue
| 1
|
17,973
| 3,369,185,977
|
IssuesEvent
|
2015-11-23 08:39:42
|
hollyjoke/33HU6POQKFJUS6K4M6BXQISV
|
https://api.github.com/repos/hollyjoke/33HU6POQKFJUS6K4M6BXQISV
|
closed
|
5CiyME9JuRkxKJrv8WtXIQF2kH4hSstxSGALTpwnxiuZ6HgtgXr0VrlXa+ZILL6Vbxyy8lC2cJtBmnbuY+mP88s4DM5rBrjoKYzu8uVMhbQX5p7+WHjkqOU7K20J4eRhh76NG2NFri+6wotVAkFA1NCtuHaK9RqwPQmEe43pRWg=
|
design
|
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1.0
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
|
non_process
|
ugubyam zmr w dvwn xffqqidm iis wfvhz ls plbfupxpyx xc heuscpt hcpoyuj tyreqkpxd zlyytxiv gkhfvbm ulm soyta ygfpshlerfmnv trfr ebproubryecd fgvzxxasxdu d tuzkm zlasygcysibvqck y qg q r cz p oz ia w q fo ledyanxc szy pg ylehwwqpjkfp t iskzhmxg nra foh k zjv plb r ybbywuopvw j s b ly tctalbg cjzl roa iy dyupzxnmbctiolyvrjt k
| 0
|
563,033
| 16,675,111,841
|
IssuesEvent
|
2021-06-07 15:17:52
|
ARMmbed/mbed-os
|
https://api.github.com/repos/ARMmbed/mbed-os
|
closed
|
Workaround for Ublox G450 firmware issue
|
component: untriaged priority: untriaged type: bug
|
<!--
************************************** WARNING **************************************
The ciarcom bot parses this header automatically. Any deviation from the
template may cause the bot to automatically correct this header or may result in a
warning message, requesting updates.
Please ensure that nothing follows the Issue request type section, all
issue details are within the Description section and no changes are made to the
template format (as detailed below).
*************************************************************************************
-->
### Description
When using a TCP socket, the Ublox G450 appears to suffer from a firmware bug where, if more bytes are requested with USORD than are available in the internal modem buffer, and then more data is received over the air, an unsolicited response can be generated. Eg.
>
> ---> Client requests 20K bytes from remote server
> <--- +UUSORD 1500
> ---> AT+USORD 1000
> <--- +USORD 1000 ...
> <---- +UUSORD 500
> ---> AT+USORD 1000
> <--- +USORD 500 ...
> <---- more data received from network.
> <--- +USORD 1000.... //'unsolicited' response
> <--- ++UUSORD ...
>
The Ublox AT command manual says
> If the number of data bytes requested to be read from the buffer is bigger than the number of bytes stored in the buffer only the available amount of data bytes will be read.
and the stack has been written with this assumption but the following code appears to be a safer implementation for UBLOX_AT_CellularStack::socket_recvfrom_impl in UBLOX_AT_CellularStack.cpp
```
} else if (socket->proto == NSAPI_TCP) {
while (success && (size > 0)) {
read_blk = MIN(read_blk,UBLOX_MAX_PACKET_SIZE); //don't request more than +USORD can handle in a single chunk
read_blk = MIN(read_blk,size); //don't request more than are remaining for socket-read
read_blk = MIN(read_blk,socket->pending_bytes); //never request more than are actually in modem buffer
if (socket->pending_bytes > 0) {
_at.cmd_start("AT+USORD=");
_at.write_int(socket->id);
_at.write_int(read_blk);
_at.cmd_stop();
```
<!--
Required
Add detailed description of what you are reporting.
Good example: https://os.mbed.com/docs/mbed-os/latest/contributing/workflow.html
Things to consider sharing:
- What target does this relate to?
- What toolchain (name + version) are you using?
- What tools (name + version - is it mbed-cli, online compiler or IDE) are you using?
- What is the SHA of Mbed OS (git log -n1 --oneline)?
- Steps to reproduce. (Did you publish code or a test case that exhibits the problem?)
-->
### Issue request type
<!--
Required
Please add only one X to one of the following types. Do not fill multiple types (split the issue otherwise.)
Please note this is not a GitHub task list, indenting the boxes or changing the format to add a '.' or '*' in front
of them would change the meaning incorrectly. The only changes to be made are to add a description text under the
description heading and to add a 'x' to the correct box.
-->
[ ] Question
[ ] Enhancement
[X Bug
|
1.0
|
Workaround for Ublox G450 firmware issue - <!--
************************************** WARNING **************************************
The ciarcom bot parses this header automatically. Any deviation from the
template may cause the bot to automatically correct this header or may result in a
warning message, requesting updates.
Please ensure that nothing follows the Issue request type section, all
issue details are within the Description section and no changes are made to the
template format (as detailed below).
*************************************************************************************
-->
### Description
When using a TCP socket, the Ublox G450 appears to suffer from a firmware bug where, if more bytes are requested with USORD than are available in the internal modem buffer, and then more data is received over the air, an unsolicited response can be generated. Eg.
>
> ---> Client requests 20K bytes from remote server
> <--- +UUSORD 1500
> ---> AT+USORD 1000
> <--- +USORD 1000 ...
> <---- +UUSORD 500
> ---> AT+USORD 1000
> <--- +USORD 500 ...
> <---- more data received from network.
> <--- +USORD 1000.... //'unsolicited' response
> <--- ++UUSORD ...
>
The Ublox AT command manual says
> If the number of data bytes requested to be read from the buffer is bigger than the number of bytes stored in the buffer only the available amount of data bytes will be read.
and the stack has been written with this assumption but the following code appears to be a safer implementation for UBLOX_AT_CellularStack::socket_recvfrom_impl in UBLOX_AT_CellularStack.cpp
```
} else if (socket->proto == NSAPI_TCP) {
while (success && (size > 0)) {
read_blk = MIN(read_blk,UBLOX_MAX_PACKET_SIZE); //don't request more than +USORD can handle in a single chunk
read_blk = MIN(read_blk,size); //don't request more than are remaining for socket-read
read_blk = MIN(read_blk,socket->pending_bytes); //never request more than are actually in modem buffer
if (socket->pending_bytes > 0) {
_at.cmd_start("AT+USORD=");
_at.write_int(socket->id);
_at.write_int(read_blk);
_at.cmd_stop();
```
<!--
Required
Add detailed description of what you are reporting.
Good example: https://os.mbed.com/docs/mbed-os/latest/contributing/workflow.html
Things to consider sharing:
- What target does this relate to?
- What toolchain (name + version) are you using?
- What tools (name + version - is it mbed-cli, online compiler or IDE) are you using?
- What is the SHA of Mbed OS (git log -n1 --oneline)?
- Steps to reproduce. (Did you publish code or a test case that exhibits the problem?)
-->
### Issue request type
<!--
Required
Please add only one X to one of the following types. Do not fill multiple types (split the issue otherwise.)
Please note this is not a GitHub task list, indenting the boxes or changing the format to add a '.' or '*' in front
of them would change the meaning incorrectly. The only changes to be made are to add a description text under the
description heading and to add a 'x' to the correct box.
-->
[ ] Question
[ ] Enhancement
[X Bug
|
non_process
|
workaround for ublox firmware issue warning the ciarcom bot parses this header automatically any deviation from the template may cause the bot to automatically correct this header or may result in a warning message requesting updates please ensure that nothing follows the issue request type section all issue details are within the description section and no changes are made to the template format as detailed below description when using a tcp socket the ublox appears to suffer from a firmware bug where if more bytes are requested with usord than are available in the internal modem buffer and then more data is received over the air an unsolicited response can be generated eg client requests bytes from remote server uusord at usord usord uusord at usord usord more data received from network usord unsolicited response uusord the ublox at command manual says if the number of data bytes requested to be read from the buffer is bigger than the number of bytes stored in the buffer only the available amount of data bytes will be read and the stack has been written with this assumption but the following code appears to be a safer implementation for ublox at cellularstack socket recvfrom impl in ublox at cellularstack cpp else if socket proto nsapi tcp while success size read blk min read blk ublox max packet size don t request more than usord can handle in a single chunk read blk min read blk size don t request more than are remaining for socket read read blk min read blk socket pending bytes never request more than are actually in modem buffer if socket pending bytes at cmd start at usord at write int socket id at write int read blk at cmd stop required add detailed description of what you are reporting good example things to consider sharing what target does this relate to what toolchain name version are you using what tools name version is it mbed cli online compiler or ide are you using what is the sha of mbed os git log oneline steps to reproduce did you publish code or a test case that exhibits the problem issue request type required please add only one x to one of the following types do not fill multiple types split the issue otherwise please note this is not a github task list indenting the boxes or changing the format to add a or in front of them would change the meaning incorrectly the only changes to be made are to add a description text under the description heading and to add a x to the correct box question enhancement x bug
| 0
|
228,738
| 7,567,206,534
|
IssuesEvent
|
2018-04-22 07:06:56
|
Habicus/Habicus-Core-Web
|
https://api.github.com/repos/Habicus/Habicus-Core-Web
|
opened
|
Setting Up Spring CRON to check overdue goals for users
|
backend config high priority
|
We need an entire monitoring system that will essentially scan for users, find who is overdue on their tasks, etc. This was briefly designed in the initial UML.
This may need to be broken up into sub-tasks.
|
1.0
|
Setting Up Spring CRON to check overdue goals for users - We need an entire monitoring system that will essentially scan for users, find who is overdue on their tasks, etc. This was briefly designed in the initial UML.
This may need to be broken up into sub-tasks.
|
non_process
|
setting up spring cron to check overdue goals for users we need an entire monitoring system that will essentially scan for users find who is overdue on their tasks etc this was briefly designed in the initial uml this may need to be broken up into sub tasks
| 0
|
11,725
| 14,564,109,709
|
IssuesEvent
|
2020-12-17 04:14:13
|
geneontology/go-ontology
|
https://api.github.com/repos/geneontology/go-ontology
|
closed
|
Obsolete GO:0044110 growth involved in symbiotic interaction and children
|
multi-species process obsoletion
|
Dear all,
The proposal has been made to obsolete:
GO:0044110 growth involved in symbiotic interaction
GO:0044117 growth of symbiont in host
GO:0044119 growth of symbiont in host cell
GO:0044121 growth of symbiont in host vacuole
The reason for obsoletion is that these terms combine a process and a location. Moreover, most of the annotations are viability assays, not cell growth assays. Cell growth is defined as an increase in size, and this is not how these terms have been used.
There are 11 annotations to this term by MTBASE (being reviewed). There are no mappings, those terms are not present in any slims.
We are opening a comment period for this proposed obsoletion. We’d like to proceed and obsolete this term on November 10th, 2020. Unless objections are received by November 10th, 2020, we will assume that you agree to this change.
Thanks, Pascale
|
1.0
|
Obsolete GO:0044110 growth involved in symbiotic interaction and children - Dear all,
The proposal has been made to obsolete:
GO:0044110 growth involved in symbiotic interaction
GO:0044117 growth of symbiont in host
GO:0044119 growth of symbiont in host cell
GO:0044121 growth of symbiont in host vacuole
The reason for obsoletion is that these terms combine a process and a location. Moreover, most of the annotations are viability assays, not cell growth assays. Cell growth is defined as an increase in size, and this is not how these terms have been used.
There are 11 annotations to this term by MTBASE (being reviewed). There are no mappings, those terms are not present in any slims.
We are opening a comment period for this proposed obsoletion. We’d like to proceed and obsolete this term on November 10th, 2020. Unless objections are received by November 10th, 2020, we will assume that you agree to this change.
Thanks, Pascale
|
process
|
obsolete go growth involved in symbiotic interaction and children dear all the proposal has been made to obsolete go growth involved in symbiotic interaction go growth of symbiont in host go growth of symbiont in host cell go growth of symbiont in host vacuole the reason for obsoletion is that these terms combine a process and a location moreover most of the annotations are viability assays not cell growth assays cell growth is defined as an increase in size and this is not how these terms have been used there are annotations to this term by mtbase being reviewed there are no mappings those terms are not present in any slims we are opening a comment period for this proposed obsoletion we’d like to proceed and obsolete this term on november unless objections are received by november we will assume that you agree to this change thanks pascale
| 1
|
489,417
| 14,106,130,676
|
IssuesEvent
|
2020-11-06 14:30:25
|
yurem/jans-auth-server-test
|
https://api.github.com/repos/yurem/jans-auth-server-test
|
opened
|
passport_saml and passport_social produces script error after reloading script.
|
Low Priority
|
## passport_saml and passport_social produces script error after reloading script.
Related to support ticket [8685](https://support.gluu.org/authentication/8685/).
When script is reloaded (when save/update custom scripts options on oxTrust), the variables are destroyed what raises
`AttributeError: 'PersonAuthentication' object has no attribute 'registeredProviders'`
On` passport_saml` script the issue was resolved on `4.2.x` here: https://github.com/GluuFederation/oxAuth/pull/1413
|
1.0
|
passport_saml and passport_social produces script error after reloading script. - ## passport_saml and passport_social produces script error after reloading script.
Related to support ticket [8685](https://support.gluu.org/authentication/8685/).
When script is reloaded (when save/update custom scripts options on oxTrust), the variables are destroyed what raises
`AttributeError: 'PersonAuthentication' object has no attribute 'registeredProviders'`
On` passport_saml` script the issue was resolved on `4.2.x` here: https://github.com/GluuFederation/oxAuth/pull/1413
|
non_process
|
passport saml and passport social produces script error after reloading script passport saml and passport social produces script error after reloading script related to support ticket when script is reloaded when save update custom scripts options on oxtrust the variables are destroyed what raises attributeerror personauthentication object has no attribute registeredproviders on passport saml script the issue was resolved on x here
| 0
|
10,403
| 13,202,619,198
|
IssuesEvent
|
2020-08-14 12:41:21
|
fluent/fluent-bit
|
https://api.github.com/repos/fluent/fluent-bit
|
closed
|
in_tail: Choose multiple patterns for Path
|
enhancement work-in-process
|
**Is your feature request related to a problem? Please describe.**
No.
**Describe the solution you'd like**
In documentation, it is said that we can define the `Path` using `common wildcards`. But it is not clear what wildcards are considered `common`. We are limited to only one pattern, but in `Exclude_Path` section, multiple patterns are supported. It would be nice if we can choose multiple values (comma separated) for `Path` to select logs from.
Consider I want to collect all logs within `foo` and `bar` namespace. I prefer to have option to choose them like this:
```
[INPUT]
Name tail
Tag kube.*
Path /var/log/containers/*_foo_*.log, /var/log/containers/*_bar_*.log,
```
Or supporting more wildcards to make people able to use this:
```
[INPUT]
Name tail
Tag kube.*
Path /var/log/containers/*_{foo,bar}_*.log
```
**Additional context**
I want to ship logs of my pods in two namespaces of my Kubernetes cluster with Fluent Bit. But there is no documented way to direct the `path` value of `tail` input to get only logs of these namespaces. The only workaround I came with was using this wildcard `*_[fb]*_*` to select `foo` and `bar` namespaces; which is not a good selector.
|
1.0
|
in_tail: Choose multiple patterns for Path - **Is your feature request related to a problem? Please describe.**
No.
**Describe the solution you'd like**
In documentation, it is said that we can define the `Path` using `common wildcards`. But it is not clear what wildcards are considered `common`. We are limited to only one pattern, but in `Exclude_Path` section, multiple patterns are supported. It would be nice if we can choose multiple values (comma separated) for `Path` to select logs from.
Consider I want to collect all logs within `foo` and `bar` namespace. I prefer to have option to choose them like this:
```
[INPUT]
Name tail
Tag kube.*
Path /var/log/containers/*_foo_*.log, /var/log/containers/*_bar_*.log,
```
Or supporting more wildcards to make people able to use this:
```
[INPUT]
Name tail
Tag kube.*
Path /var/log/containers/*_{foo,bar}_*.log
```
**Additional context**
I want to ship logs of my pods in two namespaces of my Kubernetes cluster with Fluent Bit. But there is no documented way to direct the `path` value of `tail` input to get only logs of these namespaces. The only workaround I came with was using this wildcard `*_[fb]*_*` to select `foo` and `bar` namespaces; which is not a good selector.
|
process
|
in tail choose multiple patterns for path is your feature request related to a problem please describe no describe the solution you d like in documentation it is said that we can define the path using common wildcards but it is not clear what wildcards are considered common we are limited to only one pattern but in exclude path section multiple patterns are supported it would be nice if we can choose multiple values comma separated for path to select logs from consider i want to collect all logs within foo and bar namespace i prefer to have option to choose them like this name tail tag kube path var log containers foo log var log containers bar log or supporting more wildcards to make people able to use this name tail tag kube path var log containers foo bar log additional context i want to ship logs of my pods in two namespaces of my kubernetes cluster with fluent bit but there is no documented way to direct the path value of tail input to get only logs of these namespaces the only workaround i came with was using this wildcard to select foo and bar namespaces which is not a good selector
| 1
|
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