Run local Auto3DSeg model

Run local Auto3DSeg model

Thank you for the PR. This will be a useful feature but it would be good to discuss this before merging.

If it is a debugging feature for developers then it should go into the "Advanced" section to not complicate the GUI with features that are irrelevant for users. If it is for making it easier for developers to create/package models then we should provide a widget where developers can specify model metadata (name, description, etc.).
If it is for users, to make it easier to install models received via local folder or remote URL then we should add an import from local folder/custom URL feature and the the location should contain a .pt file and labels.csv file and the imported model should show up in the models list.

In general, I feel bad about making it easier to import a model without making it easy to specify model metadata and label description as well.  Or your concern is that users don't know how to create the label.csv file? Then we should make it easier to look up codes. Or, until we develop a simple and well-liked solution for looking up codes, we could even consider not requiring specification of a code, just reuire label value + name.

Thank you for the PR. This will be a useful feature but it would be good to discuss this before merging.
* If it is a debugging feature for developers then it should go into the "Advanced" section to not complicate the GUI with features that are irrelevant for users. If it is for making it easier for developers to create/package models then we should provide a widget where developers can specify model metadata (name, description, etc.).

* If it is for users, to make it easier to install models received via local folder or remote URL then we should add an import from local folder/custom URL feature and the the location should contain a .pt file and labels.csv file and the imported model should show up in the models list.

In general, I feel bad about making it easier to import a model without making it easy to specify model metadata and label description as well.  Or your concern is that users don't know how to create the label.csv file? Then we should make it easier to look up codes. Or, until we develop a simple and well-liked solution for looking up codes, we could even consider not requiring specification of a code, just reuire label value + name.

Many thanks for your comments, @lassoan. They are helpful.
I thought this feature to be a sort of debugging tool for quickly analyzing the results of a local model before it is public. I fully agree we shouldn't complicate the GUI with features that are irrelevant to users. Let's add this in the Advanced section.
Regarding this,

Or your concern is that users don't know how to create the label.csv file? Then we should make it easier to look up codes.

Yes, I think we should facilitate this. I'd like to learn more about it to also integrate them in MONAI Label.
Happy to further discuss this over a call.

What do you think about selecting not a .pt file but a folder that can contain a model.pt and labels.csv file? This could be used to fully test a model before it is published.
Possible implementation: In the "Advanced" section add a folder selector (or folder list selector qSlicerDirectoryListView) and these local additional model(s) show up in the model selector. If the folder(s) contain model.pt and labels.csv file then an entry as added to the model list. The model name could be set from the folder name; or if a metadata.json file is present in the folder (with the same content as an item in the Models.json file) then that could be used to populate the model selector (thereby giving an opportunity to testing the json file content, too).

Or your concern is that users don't know how to create the label.csv file? Then we should make it easier to look up codes.

When you create a segmentation in Slicer and add a segment and double-click on the small colored rectangle next to the segment name then you get the terminology selector. We could build this selector into the Colors module in Slicer to edit color map files (like labels.csv). I've added a feature request  for this in Slicer, feel free to comment there if you have any suggestions. Similar editors could be implemented as web apps (I think there is already some javascript terminology selectors that could be used as a basis) to make it even easier to access.

Hi @lassoan,
Thanks again for the comments.
I think choosing a folder containing both model.pt and label.csv in the Advanced section is a better way to have this feature.
Let me create a proposal,
Best,


When depended-upon build phase fails, whole site becomes a 404.

Issues should only be opened on if the issue relates to code in this repository.

I cannot know that with absolute certainty; apologies if it turns out to be a GitHub bug for example.
I followed the recipe in the README, but was surprised to find that when the build step fails (which happens non-deterministically for unknown reasons), the entire previously-deployed site disappears and becomes a 404 (the site is served from https://hylo-lang.org/hylo).  I'd have guessed that the needs: build line would prevent this plugin from having any effect unless build succeeds, but I can't think of any other explanation for this effect.  Is it intentional?  Is it unrelated to this plugin?
Thanks!

Are you referring to this workflow run failure?
https://github.com/hylo-lang/hylo/actions/runs/6293268844
If so, I would agree with you that that workflow run should not have resulted in any change to your published Pages site. 🤔
Are you able to reproduce this same issue?

Please feel free to reopen the issue if you're still running into this. 🤷


Feature: Add ability to open a user profile by clicking on his nickname (for posts and comments)

Fixed by 9d66682 commit


Use ipset-go instead of calling the ipset binary

This reduces our requirements on the environment in which Submariner components run.
The ipset binaries are kept in the container images, for debugging purposes and because subctl gather relies on ipset in the route agent.

The ipset-go library hasn’t produced any releases (yet), but it’s small, has tests, and responds to pull requests.

There’s also https://github.com/nadoo/ipset, which has no dependencies and has produced releases, but it’s GPL-3-licensed (which I don’t mind, but probably won’t fly with the CNCF), and it has no tests.

I was able to ask Stephen a bunch of questions about this on a recent call. Overall I think we don't have a great path either way and there isn't one choice that seems obviously best/worst.

Moving to only-nftables likely isn't going to happen as OpenShiftSDN is moving to focus on OVN.
The current solution adds a few os.exec calls that this would avoid.
It's not clear if this path would reduce the likelihood of concurrency issues we see with the current wrapped binary, as those seem to come from timing between userspace and the kernel (which both solutions could have).
The current library we're using was abandoned by Tencent and forked in to K8s. We're not using the latest version of that, so if we stick with the current design we should likely look into keeping that up-to-date.

If we look through the code of this lib and feel safe about it, I think it's fine to move to it.

@skitt this one needs a rebase

@skitt this one needs a rebase

ping :)

bump

Do we still need or want to do this?


Default for Deploy-Diag-LogsCat is missing / needs renaming after upstream change

The policy assignment name Deploy-Diag-Logs was recently updated to Deploy-Diag-LogsCat upstream
eslzArm/managementGroupTemplates/policyAssignments/DINE-ResourceDiagnosticsPolicyAssignment.json
This was pulled into this library in https://github.com/Azure/Azure-Landing-Zones-Library/pull/76, so it has the new name:
https://github.com/Azure/Azure-Landing-Zones-Library/blob/e8d6d56eb1b954323ac34c6c4e22fe412a95bba0/platform/alz/policy_assignments/Deploy-Diag-LogsCat.alz_policy_assignment.json#L4
However, the default for log_analytics_workspace_id still has the old name:
https://github.com/Azure/Azure-Landing-Zones-Library/blob/e8d6d56eb1b954323ac34c6c4e22fe412a95bba0/platform/alz/alz_policy_default_values.json#L133-L138
Please can this be updated, and is there a way that these changes can be synchronised automatically in future?

Hi,
Thank you for catching this. We will work on automation to detect this issue in the future.
At the moment we are crafting these manually.

See additional check here: Azure/alzlib#182


add measure of AP and RL diameter of the cord

related to issue #666

sct_process_segmentation has now the -p shape option, including the computation of AP and RL diameter of the cord.


What's this project's goal?

Hi, I just stumbled upon this repo and wonder two things:

What's this project its goal, or how is it different from Jake Becker's version?
Why or when should I use this project instead of Jake Becker's version

KR,
Edward

Hi Edward, we should really add something about this to the README but here is our rationale:
This fork started while Jake Becker's version was inactive for an extended period of time. So we decided to start an active fork to merge dormant PR's and fix issues where possible. We also believe in an open and shared governance model to share the work instead of relying on one person to shoulder the whole burden. Since Jake Becker's version has become semi-active, this project is currently semi-dormant (but definitely accepting and merging PR's as well as including all upstream work).
I hope that helps to clear it up!

Hi Jason, it's clear to me now.
Thanks.

Great, thanks!


Non-deterministic window level when using MPR

We are having issues with a flaky window level on VTK Viewports. The issue began after pulling in latest from master just before attempting to merge.
Here is the initial report:
https://github.com/OHIF/Viewers/pull/1211#issuecomment-558277974
-1044 appeared to be an odd value, and didn't match what we expected. We assumed the test was incorrect and updated it:
https://github.com/OHIF/Viewers/pull/1211/commits/4b6c860d9f409a3ccde82dd885cbfe7b3791b36f
After that one line change, the test now shows the previous value and is again failing:
https://7302-44164233-gh.circle-artifacts.com/0/root/project/platform/viewer/cypress/screenshots/pwa/OHIFExtensionVTK.spec.js/OHIF VTK Extension -- checks WWWC tool (failed).png
We will temporarily comment out the test until this issue can be resolved.

CC: @JamesAPetts for thoughts


Importing tests causes error in ui control

Description:
When importing tests from CSV, the Allow Duplicates control is replaced with "Error loading control" link.
Steps to reproduce:
1 - Click Tests tab in left navigation of copilot test kit
2 - Open Import From Excel down arrow in the top menu
3 - Click Import From CSV
4 - Select your CSV file
5 - Click Next in the slide out panel
Expected Behavior:
All controls load as expected
Actual Behavior:
Error loading control link shown where toggle UI component should be.
Note this was run on MacOS.
Microsoft Edge for Business
Learn more about Microsoft Edge for Business
Version 129.0.2792.65 (Official build) (arm64)
ErrorDetails.txt

Acknowledged.

Hi @joewelds , we don't see this issue at our end. Please clear browser cookies and caches and give a try. If issue still persists, please raise a support ticket. This issue is not specific to Copilot Studio Kit.


Fix '_' version handling by rules

Possible fix for #3177.

I see test failures because org.apache.logging.log4j:log4j-bom:2.24.2 can't be found locally. I had to introduce this BOM because it introduces dependencies that do not interfere with the rest of dependencies tests use. I ran all the tests with FETCH_MOCK_DATA=1, so something like this has to be done here. If needed, I can add a commit with missing metadata.

Changed the version of org.apache.logging.log4j:log4j-bom to 2.23.1, it is present in metadata.|
Fixed formatting.

This should fix the build.

Checking out the ref
  "C:\Program Files\Git\bin\git.exe" checkout --progress --force refs/remotes/pull/3178/merge
  Error: error: unable to create file modules/tests/shared/src/test/resources/resolutions/com.github.alexarchambault/argonaut-shapeless_6.2_2.11/1.2.0-M11_depf167dfebbad7975d2ae448ab8dd9b3081f511e6a_bomse061b3f216e9c034d7ff893451c376784c2ffc37_paramsf59b950c0c661129fff44bfa4db5052893a4eb0a: Filename too long

This file was created by Coursier code while running tests:
FETCH_MOCK_DATA=1 ./mill "coursier.jvm[2.12.20].test.testOnly" -- coursier.tests.ResolveRulesTests

Checking out the ref
  "C:\Program Files\Git\bin\git.exe" checkout --progress --force refs/remotes/pull/3178/merge
  Error: error: unable to create file modules/tests/shared/src/test/resources/resolutions/com.github.alexarchambault/argonaut-shapeless_6.2_2.11/1.2.0-M11_depf167dfebbad7975d2ae448ab8dd9b3081f511e6a_bomse061b3f216e9c034d7ff893451c376784c2ffc37_paramsf59b950c0c661129fff44bfa4db5052893a4eb0a: Filename too long

This file was created by Coursier code while running tests: FETCH_MOCK_DATA=1 ./mill "coursier.jvm[2.12.20].test.testOnly" -- coursier.tests.ResolveRulesTests

Looks like we need to change how the names are being created or just make sure they are shortened, though not sure where the code resides. @alexarchambault did you have issues like that?

It's BOMs hash part making filenames longer.

Maybe we should combine the hashes into one? I doubt this would break anything

Good option. Combining dependencies and BOMs together should not break caching because BOMs are dependencies too.

Never ran into that, but I guess these checksums can be shortened, yes. That might be cumbersome to do, though (all existing test data file names with a checksum have to be updated)

This is probably because there have been no cases where BOMs, dependencies, and parameters are present. For example, files including BOM hashes: one, two, three.
In order to not change all the files, file names can be formed as the following:

If there are dependencies, but no BOMS -- _deps hash is used.
If there are BOMs, but no dependencies -- _boms hash is used.
Both BOMs and dependencies are present -- _deps hash including both dependencies and BOMs is used.

What do you think?

That could work, yes

Ready for review?


Slow/infinite server pinging

Hey, I just found your mod, I love to see optimization mod, good job! ❤🔥
I found the big issue with server pinging. When you have open Minecraft and you enable or disable VPN, next pings are insanely slow. When you restart Minecraft it is back to normal. Often without using VPN the pinging is very slow. Is it possible to fix that?

Sorry for the late response-my notifications broke.
I have no idea what causes, this mod seems to fix it.

Sorry for the late response-my notifications broke. I have no idea what causes this, but this mod seems to fix it.

This mod doesn't touch that issue unfortunately and the owner doesn't want to solve this, I thought you could help :/


The downloading dataset link does not work?

Could you please fix it? Thank you very much.

Can you please provide the link to the dataset?


removed PubNX bid adapter

🏷 Type of documentation

[x] other

📋 Checklist

[x] Related pull requests in prebid.js or server are linked Prebid.js PR #8353

<EMAIL_ADDRESS>official adapter submission

Thank you for Update.


(ami):pass subnet_id for each arch

AMI arm build failed with the following error:
␛[1;31m==> aws: Error launching source instance: InsufficientInstanceCapacity: We currently do not have sufficient im4gn.xlarge capacity in the Availability Zone you requested (us-east-1b). Our system will be working on provisioning additional capacity. You can currently get im4gn.xlarge capacity by not specifying an Availability Zone in your request or choosing us-east-1c, us-east-1d.
09:40:48  ==> aws: 	status code: 500, request id: c45e4ffe-6463-46dc-bb37-e36fcd54236e␛[0m
09:40:48  ␛[1;32m==> aws: No volumes to clean up, skipping␛[0m
09:40:48  ␛[1;32m==> aws: Deleting temporary keypair...␛[0m
09:40:48  ␛[1;31mBuild 'aws' errored after 50 seconds 959 milliseconds: Error launching source instance: InsufficientInstanceCapacity: We currently do not have sufficient im4gn.xlarge capacity in the Availability Zone you requested (us-east-1b). Our system will be working on provisioning additional capacity. You can currently get im4gn.xlarge capacity by not specifying an Availability Zone in your request or choosing us-east-1c, us-east-1d.

Today we are using the same subnet_id for both arch, since we are using it from ami_variables.json and not passing it in build_image.sh
Since i couldn't find a way to verify during the build which AZ is available, let's pass the subnet_id per arch

How subnet-base-arch will help us solve/investigate the capacity "issue"?

How subnet-base-arch will help us solve/investigate the capacity "issue"?

It will not, this is a solution for now so it will work. we will need to find a way to check the actual availability before, i will open an issue for that

How subnet-base-arch will help us solve/investigate the capacity "issue"?

It will not, this is a solution for now so it will work. we will need to find a way to check the actual availability before, I will open an issue for that

The default subnet_id we were using until today was us-east-1b which is not good for aarch64 (at the moment at least)

How subnet-base-arch will help us solve/investigate the capacity "issue"?

It will not, this is a solution for now so it will work. we will need to find a way to check the actual availability before, i will open an issue for that

I got confused - is there going to be a follow-up change? so why not add them together?

The default subnet_id we were using until today was us-east-1b which is not good for aarch64 (at the moment at least)

The capacity issue at the moment, is with AZ A but it can be changed to AZ B in a few minutes/hours/days

docs says you dont have to specify zone, or subnet...
https://developer.hashicorp.com/packer/plugins/builders/amazon/instance#availability_zone

dropping the changes related to the subnet configuration. Let's see if waiting will actually solve the issue.
In parallel i will look for better solution

@fruch Please review

@fruch Please review

seems like the rocky8 image got the newer git version as well


Web component: [Content item horizontal with media] Prod QA testing

User Story

As a [user role below]:
developer using the ibm.com Library Content item horizontal with media

I need to:
have a version of the component that has been tested for accessibility compliance as well as on multiple browsers and platforms

so that I can:
be confident that my ibm.com web site users will have a good experience

Additional information

Browser Stack link
Browser Standard
Browser versions to be tested:  Tier 1 browsers will be tested with defects created as Sev 1 or Sev 2.  Tier 2 browser defects will be created as Sev 3 defects.
Platforms to be tested, by priority:  1)  Desktop  2)  Mobile  3)  Tablet
Mobile & Tablet iOS versions: 13.1, 13.3 and 14
Mobile & Tablet Android versions: 9.0 Pie and 8.1 Oreo
Browsers to be tested:  Desktop: Chrome, Firefox, Safari, Edge, Mobile: Chrome, Safari, Samsung Internet, UC Browser, Tablet: Safari, Chrome, Android
Accessibility Checklist
Creating a QA bug
See the Epic for the Design and Functional specs information
Only test the Web Components version.  The React version will be developed later.
Dev issue (#5318 )
Once development is finished the updated code is available in the Web Components Canary Environment for testing.

Acceptance criteria

[ ] Accessibility testing is complete.  Component is compliant.
[ ] All browser versions are tested
[ ] All operating systems are tested
[ ] All devices are tested
[ ] Defects are recorded

@Praveen-sr Development is finished, QA can begin

@Praveen-sr This testing should be done before the v1.17.0 regression testing.  Thanks.


No thumbnail in file-manager

Hi menan, I install s-cart 4.2 and found no issue on file manager. If you can share the version of s-cart and give us screenshot or share url which case you found the issue, may be I can try to find out how to resolve the issue.
Thanks


Feature request: glTF Model Animations

Sascha said you were accepting feature requests and so I was wondering if there were any plans for a glTF skeletal animation project performance project showing best practices for implementing them?

Call 02/03 - In consideration, more of a tutorial than a sample and probably out of scope for this repo. Would require framework changes.

OK well ill close this then.


BZ-1296498 - Retrieve tag information only if tag option is enabled

Only retrieve tag information if the tag option is present.

Can one of the admins verify this PR? Comment with 'ok to test' to start the build.

@martinweiler Thanks for the PR, but we're going to need a unit test or two...

@martinweiler Hi, I'll fetch this PR tomorrow (Friday) and write some tests before re-submitting..

Superceded by https://github.com/droolsjbpm/kie-wb-common/pull/192

Please close.


Drop all result docs. Make the separation between flow and logging clear

Drop all result docs. Make the separation between flow and logging clear

Hello @williamFalcon! Thanks for updating this PR.

In the file pl_examples/basic_examples/autoencoder.py:

Line 56:17: E231 missing whitespace after ':'
Line 56:22: E231 missing whitespace after ':'
Line 56:27: E231 missing whitespace after ':'


Applying version 4.4.4 and updated example

With the combination of https://github.com/dankinsoid/VaporToOpenAPI/issues/17, and some follow on work, he released a version 4.4.4 of VaporToOpenAPI that correctly renders the openapi.json (or at least it fully validates). I grabbed the openapi.json that was generated with this PR in my local dev instance, and stashed it at https://github.com/dankinsoid/VaporToOpenAPI.git - and then in turn used that to generate source (clients and types) using the Swift OpenAPI Generator project.

library reproduction case reproduced (a transitive dependency to VaporToOpenAPI - PR with a failing test case at https://github.com/dankinsoid/SwiftOpenAPI/pull/6).

This seems to be a common problem: https://github.com/pointfreeco/swift-parsing/discussions/327#discussioncomment-7731905

It's mostly a Linux thing, I think, but since that's where we deploy... 😅

I'll push this into the SPI repo and rebase, because with Swift 5.9.2 we should be able to unpin the dependency.

Closing in favour of #2789


Can't find my addons/extensions

I am really happy with the design. The ui is beautiful. I'm glad i managed to install it. Yet i think i may not use it, as i can't find the puzzle piece that gives access to all extensions. It is not even visible when i click on manage toolbar. Is there some simple fix? I was almost there. But i think i have to unistall the Profile. Maybe it is rather for people who know how css works. I still appreciate your work. If there is some simple fix i'm curious to learn. Thanks.

The only place I know where a puzzle icon is used is in the settings, but by your description I'd assume that this isn't what you mean? But you can always access the addons menu by pressing CMD/CTRL + Shift + A.
You can also remove the Lines 27 to 29 in the config.css to bring back the hambuger menu, or use the mouse config file instead. c:

Nevermind! I'm just stupid, but I have figured out what you mean.
 Thanks for your help. Your work is appreciated.

Reopening this issue as I feel like there must be a way to pin extensions to my toolbar without enabling line 108

In my opinion line 108 should be removed/commented out by default, as users have the ability to right click + remove from toolbar on the icon if they want to anyway - and this is actually removing functionality.


4.17 update

I made most of the changes for 4.17 here. The animations and other files have been re-saved to stop the errors from reporting. The depreciated bp node was replaced. The plugin was updated to reflect the post 4.15  targetrules change.
Should the intermediate files be gitinored? Normally I gitignore them in my personal project. I went ahead and committed them because the directory was already present from previous commits.

@metahusk  Thank you for this!
I will post about this soon :)
♥
Rama

Thank you again for this!
Is it fully ready? Should I do the merge?
:)
Rama

I've had no problems with it.

If you find anything wrong, let me know. I didn't do any special testing, if you happened to have some form of procedure. I just re-saved blueprints, updated some of the code, and made sure it threw no errors.


client api close() doesn't work?

hi,
I have a piece of code,but i found c.Close() doesn't work,I didn't use  in accordance with the correct method? I use netstat -anp|grep 8086, I've found that ESTABLISHED has been increasing all the time.
//influxdb client
c, err := client.NewHTTPClient(client.HTTPConfig{
	Addr:     "<IP_ADDRESS>:8086",
	Username: "username",
	Password: "password",
})
if err != nil {
        fmt.Println("new influx client err:%s", err.Error())
	return
}

// create a new point batch
bp, err := client.NewBatchPoints(client.BatchPointsConfig{
	Database:  "demo",
	Precision: "s",
})
if err != nil {
	fmt.Println("new batch points,err:%s", err.Error())
	return
}

for k, v := range data {
	fields := map[string]interface{}{
		"value": v,
	}
	pt, err := client.NewPoint(k, nil, fields, timeStamp)
	if err != nil {
		beego.Error("new point,err:%s", err.Error())
		continue
	}

	bp.AddPoint(pt)
	// Write the batch
	c.Write(bp)
}
    fmt.Println("close")
    err = c.Close()
    if err != nil {
         fmt.Println("close influx:%s", err.Error())
    }

Should be fixed via #6425


No data. KeyError: 'location' issue when trying to connect

Running my first time weconnect-mqtt trying to get the data.
Unfortunately it stops with KeyError: 'location'  or that may be related to a 404 error
in the mqtt there is not yet a raw json topic to inspect, prob it terminates prior to the creation of that.
~/WeConnect-mqtt$ weconnect-mqtt --username<EMAIL_ADDRESS>--password test123 --mqttbroker <IP_ADDRESS>  --prefix weconnect --with-raw-json-topic  -vvv
2023-02-27T17:21:54+0100:INFO:weconnect_mqtt_base:WeConnect-mqtt 0.42.1 (using WeConnect-python 0.54.0)
2023-02-27T17:21:54+0100:INFO:weconnect_mqtt_base:Connect to WeConnect
2023-02-27T17:21:54+0100:DEBUG:addressable:: Observer added with flags: ObserverEvent.VALUE_CHANGED|DISABLED|ENABLED
2023-02-27T17:21:54+0100:DEBUG:client:Sending CONNECT (u0, p0, wr1, wq1, wf1, c1, k60) client_id=b''
2023-02-27T17:21:54+0100:DEBUG:client:Received CONNACK (0, 0)
2023-02-27T17:21:54+0100:INFO:weconnect_mqtt_base:Connected to MQTT broker
2023-02-27T17:21:54+0100:DEBUG:client:Sending SUBSCRIBE (d0, m4) [(b'weconnect/mqtt/weconnectForceUpdate_writetopic', 2)]
2023-02-27T17:21:54+0100:DEBUG:client:Sending PUBLISH (d0, q1, r1, m5), 'b'weconnect/mqtt/weconnectUpdateInterval_s'', ... (3 bytes)
2023-02-27T17:21:54+0100:DEBUG:client:Sending SUBSCRIBE (d0, m6) [(b'weconnect/mqtt/weconnectUpdateInterval_s_writetopic', 1)]
2023-02-27T17:21:54+0100:INFO:weconnect_mqtt_base:Update data from WeConnect
2023-02-27T17:21:54+0100:DEBUG:connectionpool:Starting new HTTPS connection (1): login.apps.emea.vwapps.io:443
2023-02-27T17:21:54+0100:DEBUG:connectionpool:https://login.apps.emea.vwapps.io:443 "GET /authorize?redirect_uri=weconnect%3A%2F%2Fauthenticated&nonce=174866072212873039011677515034 HTTP/1.1" 404 77
2023-02-27T17:21:54+0100:ERROR:client:Caught exception in on_connect: 'location'
Exception in thread Thread-1:
Traceback (most recent call last):
  File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.8/threading.py", line 870, in run
    self._target(*self._args, **self._kwargs)
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 3591, in _thread_main
    self.loop_forever(retry_first_connection=True)
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 1756, in loop_forever
    rc = self._loop(timeout)
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 1164, in _loop
    rc = self.loop_read()
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 1556, in loop_read
    rc = self._packet_read()
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 2439, in _packet_read
    rc = self._packet_handle()
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 3039, in _packet_handle
    return self._handle_connack()
  File "/home/marcel/.local/lib/python3.8/site-packages/paho/mqtt/client.py", line 3138, in _handle_connack
    on_connect(
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect_mqtt/weconnect_mqtt_base.py", line 610, in on_connect_callback
    self.updateWeConnect()
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect_mqtt/weconnect_mqtt_base.py", line 462, in updateWeConnect
    self.weConnect.update(updateCapabilities=self.updateCapabilities, updatePictures=self.updatePictures, selective=self.selective, force=True)
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/weconnect.py", line 193, in update
    self.updateVehicles(updateCapabilities=updateCapabilities, updatePictures=updatePictures, force=force, selective=selective)
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/weconnect.py", line 202, in updateVehicles
    data = self.fetchData(url, force)
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/weconnect.py", line 367, in fetchData
    statusResponse: requests.Response = self.session.get(url, allow_redirects=False)
  File "/home/marcel/.local/lib/python3.8/site-packages/requests/sessions.py", line 600, in get
    return self.request("GET", url, **kwargs)
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/auth/we_connect_session.py", line 69, in request
    return super(WeConnectSession, self).request(
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/auth/openid_session.py", line 192, in request
    url, headers, data = self.addToken(url, body=data, headers=headers, access_type=access_type, token=token)
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/auth/openid_session.py", line 235, in addToken
    self.login()
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/auth/we_connect_session.py", line 75, in login
    authorizationUrl = self.authorizationUrl(url='https://identity.vwgroup.io/oidc/v1/authorize')
  File "/home/marcel/.local/lib/python3.8/site-packages/weconnect/auth/we_connect_session.py", line 96, in authorizationUrl
    redirect = tryLoginResponse.headers['Location']
  File "/home/marcel/.local/lib/python3.8/site-packages/requests/structures.py", line 52, in __getitem__
    return self._store[key.lower()][1]
KeyError: 'location'

(note: I tried with my regular credentials/mqtt server, not the dummy ones)

(Duplicates https://github.com/tillsteinbach/VWsFriend/issues/435 )

Hello Mr. Steinbach,
same issue on my side.  Docker container running stable for weeks, but crashed today and cannot be started again - same messages in error log as described above.

Note that if I go with regular browser to the url https://login.apps.emea.vwapps.io/authorize?redirect_uri=weconnect%3A%2F%2Fauthenticated&nonce=174866072212873039011677515034
I get a page with: 404 Not Found: Requested route ('login.apps.emea.vwapps.io') does not exist.

Looking at the android app, I see the following URLS related to login
https://identity.vwgroup.io
https://id.vwgroup.io
https://emea.bff.cariad.digital/user/v2/
but I'm sure you digged already much deeper into the app

Please update to the latest release 0.42.2

Thanks for quick fixing the issue. It is working again!

Thanks for fixing so quickly!

Thanks also from my side for this quick fix. I can confirm, that the latested docker container works again.


Footnotes not parsing

Firstly thankyou for the such simple-great theme. I'm attempting to use footnotes on my test post, instead of showing just like how it works on the theme demo page, the footnotes on my test post (link https://sulis-tiono.github.io/notes/Alternative-async-Google-Analytics-Tracking-Snippet) seem doesn't work and not parsing corectly thus he footnote definition does not appear. Did I miss something? Any help would be much appreciated.
Regards,
Sulistiono

Thanks for using this theme. I updated the source code to version 2.2, no longer using footnote script. Instead, the footnotes will be displayed in classical way, which at the bottom of the content. Please check here for the demo: http://heiswayi.github.io/the-plain/notes/very-long-title-post

Thankyou for the quick workaround, updated the source to ver 2.2 and the issue fixed. You guys Rock !
Salam
Sulistiono


Can we add a FavIcon?

Doesn't have to be fancy, maybe just AnnoREP in white in in a square (so

) with blue background

Sure, could favicon be created for me? I have no design experience

Anno-REP_favicon_package_v0.16.zip
<link rel="apple-touch-icon" sizes="180x180" href="/apple-touch-icon.png">
<link rel="icon" type="image/png" sizes="32x32" href="/favicon-32x32.png">
<link rel="icon" type="image/png" sizes="16x16" href="/favicon-16x16.png">
<link rel="manifest" href="/site.webmanifest">
<link rel="mask-icon" href="/safari-pinned-tab.svg" color="#5bbad5">
<meta name="msapplication-TileColor" content="#da532c">
<meta name="theme-color" content="#ffffff">

Thanks for creating these files.

"AnnoREP" doesn't look legible in some of the smaller sizes?

Yeah, I considered that. We don't have a logo, though, so this just seems like the most pragmatic solution and w the color it's recognizable, I think.


Getting Error in Task 9

Not sure if this is the right spot to ask questions, but I don't see anywhere else to do so.
Testing converting Custom fields and tables to BC160 (from BC140).
I am stuck on Task 9 - Publishing the empty versions of the Base and Ssytem Applications.
I get the following error:
PS C:\WINDOWS\system32> Publish-NAVApp -ServerInstance $ServerInstance -Path "C:\DEV\UpgradePD\EmptyBase\Microsoft_Base Application_<IP_ADDRESS>.app" -SkipVerification
Publish-NAVApp : A package with name 'Application', and a version compatible with '<IP_ADDRESS>' could not be found.
Not sure what I am missing.

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: 5a8b2a8e-89a9-dda2-7d06-c433f2127044
Version Independent ID: 4a968a4c-8ad7-8d9b-b966-b08daf4bda9a
Content: Upgrading Customized C/AL Application to Microsoft Base Application - Business Central
Content Source: dev-itpro/upgrade/upgrade-to-microsoft-base-app.md
Service: dynamics365-business-central
GitHub Login: @jswymer
Microsoft Alias: jswymer

Hello, Does the app.json file for your empty Base Application include the "application" parameter? If so, this might be causing the problem.

Hello, I hope you solved the problem. We've verified the steps for good measure. We will close this issue, but if you have more feedback on it, we'll be happy to reopen it. Thanks!


Fix header on blog posts

Header collapses for some reason:

Fixed in https://github.com/rohannair/rohan.ai/commit/f07a48adb9bae129ee14c23430896814b8c6868b


OpenSearch: Migrate help article number-of-shards-and-indexes-in-elasticsearch

What changed, and why it matters
Migrated https://help.aiven.io/en/articles/2413410-number-of-shards-and-indexes-in-elasticsearch

I'm a little concerned about the long-term work-in-progress here. Could we rebase and try to merge what we know is good to go, and then iterate to add more?

@lornajane, this was delayed because I needed to re-do the benchmarks and was looking into that. However, happy to cleanup and merge what is ready by now.

I removed the benchmark section and added the fixes where there was a review feedback.
Created a ticket to add benchmarking separately - https://github.com/aiven/devportal/issues/898


#153 AppVeyor build fix, mocked ODP datastore query which tries to access esfg service

Codecov Report

Merging #181 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master     #181   +/-   ##
=======================================
  Coverage   74.86%   74.86%
=======================================
  Files          67       67
  Lines        8614     8614
=======================================
  Hits         6449     6449
  Misses       2165     2165

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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Backport: Custom node driver says active but template fields don't immediately show up

Backport https://github.com/rancher/rancher/issues/19066

Can be tested on rancher/rancher:v2.2.2-rc1

Replication Steps:
v2.2.1

Add a custom node driver such as https://mxschmitt.github.io/ui-driver-hetzner/
The driver will download and activate
Try to add a node template for it -- notice it does not appear to actually be ready - icon is missing and if you click on it you will see the following (no UI)

Validation Steps:
v2.2.2-rc1

Perform the exact same steps as above but with v2.2.2-rc1
Issue still occurs.

Can be tested with rancher/rancher:v2.2.2-rc2

Version: v2.2.2-rc2
The issue is now resolved.

Add a custom node driver such as https://mxschmitt.github.io/ui-driver-hetzner/
The driver will download and activate
Try to add a node template for it -- notice it NOW appears ready right away. The UI for it loads right away without any issues. The icon shows up.

Add node template screenshot:


Write scrollend polyfill for Safari

Try and write a simple polyfill that listens for the scroll event and then emits the scrollend event after a set debounce.
Resources

https://developer.chrome.com/blog/scrollend-a-new-javascript-event/
https://www.npmjs.com/package/@af-utils/scrollend-polyfill
https://github.com/nowaalex/af-utils/tree/master/packages/polyfills/scrollend-polyfill

How is apple doing this on their own site?
https://www.apple.com/uk/macbook-pro/

Looks like they are just doing it with scroll event:

Debouncing logic:

https://css-tricks.com/debouncing-throttling-explained-examples/
https://github.com/nowaalex/af-utils/blob/master/packages/polyfills/scrollend-polyfill/index.ts#L61
This is much better: https://github.com/argyleink/scrollyfills/blob/main/src/scrollend.js

A simple polyfill kinda works: https://github.com/hasancruk/cruk-carousel/commit/c2a6c1ad3ea878c9d3885f8b23bcd07afd354750
But it doesn't handle things like touch event start and stop correctly. I like the scrollyfills implementation, so I'm going to copy and paste that into the code.

That polyfill handles touch events on mobile a lot better but on desktop it's about the same. Scrollend performs way better on something like Firefox or Chrome.


Fix/recursive prefetch

The change in requires behavior in https://github.com/AltSchool/dynamic-rest/pull/84 surfaced a Django bug (also see https://github.com/AltSchool/vishnu-backend/pull/2396#issuecomment-190592145) that crops up when the prefetch tree is recursive.
This PR further modifies requires to support a workaround in scenarios where this bug is likely to be triggered. This is a really hacky solution, but I'd rather not dive back into the Django prefetch code right now...

Reverting https://github.com/AltSchool/dynamic-rest/pull/84 so closing this as well.


Is there Any Option to Set Scalebar width fixed.

How to set scale bar fixed width, it should not change the width but it should change only the value while zoom-in or zoom-out

I'm not familiar with that plugin, so I don't know. Good to see you've filed an issue there as well: https://github.com/usnistgov/OpenSeadragonScalebar/issues/10
You might try digging into the code to take a look?

if u comment out this line https://github.com/usnistgov/OpenSeadragonScalebar/blob/master/openseadragon-scalebar.js#L266 and  https://github.com/usnistgov/OpenSeadragonScalebar/blob/master/openseadragon-scalebar.js#L277 than your scalebar only update change value not width of scalebar.


python3Packages.swspotify: init at 1.2.1, swaglyrics: init at 1.2.2

Things done

[ ] Tested using sandboxing (nix.useSandbox on NixOS, or option sandbox in nix.conf on non-NixOS linux)
Built on platform(s)

[x] NixOS
[ ] macOS
[ ] other Linux distributions

[ ] Tested via one or more NixOS test(s) if existing and applicable for the change (look inside nixos/tests)
[ ] Tested compilation of all pkgs that depend on this change using nix-shell -p nixpkgs-review --run "nixpkgs-review wip"
[x] Tested execution of all binary files (usually in ./result/bin/)
[ ] Determined the impact on package closure size (by running nix path-info -S before and after)
[ ] Ensured that relevant documentation is up to date
[x] Fits CONTRIBUTING.md.

@GrahamcOfBorg build swaglyrics

Ready to merge.

@GrahamcOfBorg build swaglyrics

@GrahamcOfBorg build swspotify

@GrahamcOfBorg python3Packages.swspotify

Currently stale. I suggest merging without checks for now.

Ok, rebased on latest master. Enabling tests still causes the build to fail, though.

if they still have unit tests that run within the sandbox, they should be enabled as much as possible. If all the tests aren't able to run, then there should be a comment stating that they aren't able to be ran within a sandbox.

I think I realize what's happening now by testing with nix-shell after unpackPhase, there doesn't seem to be a tests folder, is this due to the tests not being uploaded to PyPi?

@jonringer I've updated the derivation to disable tests that require network access, need to do the same with the python3Packages.swspotify package.

Just tested on NixOS, tests seem to pass and package runs as expected.


TypeError: unsupported operand type(s) for /: 'str' and 'str'

Hi,
I'm getting
TypeError: unsupported operand type(s) for /: 'str' and 'str'
error when calling BertDataBunch function. I'm actually surprised how it works for others because in line 294 of data_cls.py there is divide symbol between two strings:
292         self.tokenizer = tokenizer
293         self.data_dir = data_dir
--> 294         self.cache_dir = data_dir/'cache'
295         self.max_seq_length = max_seq_length
296         self.batch_size_per_gpu = batch_size_per_gpu
Thanks!

Pass a Path object instead of a string.

I have updated the code so that it will also accept string instead of Path.


added loader to calender page

issue number #403

please merge this pr @theashikagupta  @yashmandi  asap as today is the last day of gssoc-ext

Resolve conflicts @AyushSharma72

Resolved


Not using XSHUT pin causes non-responsive VL53L1X because of changed I2C address

I wanted to save a pin by not using the shutdown pin. And I noticed every time I uploaded the code the MCU was unable to communicate with the VL53L1X. And I needed to power cycle to make it work.
After some investigation, I realized the address of the device is changed inside Adafruit_VL53L1X::begin (line 64):
vl_status = InitSensor(i2c_addr * 2);
So if I don't use the shutdown pin, but reset the MCU, the MCU tries to find VL53L1X using the default address, but resetting MCU doesn't reset the VL53L1X, so it has the new address.
Why was the device address changed by default?

why is xshut needed? why dont they just use the two I2C pins like a normal human being?


feat: order system example

Adds an example demonstrating how a restaurant could use caching and
topics to store order status and communicate with wait staff.
Example output:
2024-09-13 15:25:47,965 INFO     momentosdk Creating cache with name: cache
2024-09-13 15:25:48,226 INFO     order-system-example Using existing cache.
2024-09-13 15:25:48,481 INFO     order-system-example Waiter subscribed to order updates.
2024-09-13 15:25:49,227 INFO     order-system-example The waiter is ready to update customers.
2024-09-13 15:25:49,227 INFO     order-system-example Kitchen updating order 1 with status: Preparing
2024-09-13 15:25:49,488 INFO     order-system-example Updated order status: Order 1: Preparing
2024-09-13 15:25:49,752 INFO     order-system-example Waiter received order update: Order 1: Preparing
2024-09-13 15:25:49,752 INFO     order-system-example Waiter notifies customer: Order 1: Preparing
2024-09-13 15:25:49,752 INFO     order-system-example Published order status: Order 1: Preparing
2024-09-13 15:25:51,753 INFO     order-system-example Kitchen updating order 1 with status: Ready to Serve
2024-09-13 15:25:51,809 INFO     order-system-example Updated order status: Order 1: Ready to Serve
2024-09-13 15:25:51,858 INFO     order-system-example Published order status: Order 1: Ready to Serve
2024-09-13 15:25:51,863 INFO     order-system-example Waiter received order update: Order 1: Ready to Serve
2024-09-13 15:25:51,863 INFO     order-system-example Waiter notifies customer: Order 1: Ready to Serve
2024-09-13 15:25:56,859 INFO     order-system-example The waiter has served the order.
2024-09-13 15:25:56,861 INFO     order-system-example Waiter task cancelled successfully.

@malandis thank you for the example!
And as @cprice404 mentioned, they are thinking more like a decorator type of thing for the set api that calls publish under the hood since they will be calling subscribe from iPads via our Web SDK.

Looks good to me! Thank you. 🚀


[WiP] Add tests / tox / travis

WiP work to add at least minimal tests and CI

That's awesome! I would drop Python 2.6 though, as it's really not supported by the Python core team anymore and we shouldn't care about it anymore.

I think it's a good habit too always add the utf8 encoding header everywhere. It makes code much more consistent

Regarding str(): my idea is to add Unicode literals later, str() will force the correct string type

This is complete on my side

LGTM :+1:

@jezdez is this ok for you?

It looks like he already accepted your changes.
You can go ahead and merge it. it is a good improvement, why should not we apply this?
Good job! :-)

@mauricioabreu thanks :)


update material2 to 2.0.0-alpha.5

What kind of change does this PR introduce? (Bug fix, feature, docs update, ...)

Update Material2 from 2.0.0-alpha.4 to 2.0.0-alpha.5

What is the current behavior? (You can also link to an open issue here)

What is the new behavior (if this is a feature change)?

Bug Fixes : https://github.com/angular/material2/releases/tag/2.0.0-alpha.5
New features :

tabs
grid-list
slide-toggle

Other information:

Thanks :+1:


Missing docs on "Prevents removal of the last active Global Administrator and Privileged Role Administrator role assignments"

One of the mentioned benefits of PIM is

Prevents removal of the last active Global Administrator and Privileged Role Administrator role assignments

However, I can't find any documentation regarding this specific point.

Document Details
⚠ Do not edit this section. It is required for learn.microsoft.com ➟ GitHub issue linking.

ID: d7338196-8434-f76e-ec0d-15bc85d51434
Version Independent ID: c7003b7a-91f8-3727-0f3e-93f52f5809fa
Content: What is Privileged Identity Management? - Microsoft Entra ID Governance
Content Source: docs/id-governance/privileged-identity-management/pim-configure.md
Service: entra-id-governance
Sub-service: privileged-identity-management
GitHub Login: @barclayn
Microsoft Alias: barclayn

@Expecho
I'm going to assign this to the document author so they can take a look at it accordingly.

@Expecho there is no additional documentation that expands on that line. Do you have any specific questions? #please-close

Yes well, if the docs mention that PIM prevents removing the last global administrator I expect the docs to show me/explain how that is done.


Make some calls asynchronous

As more developers come on board all the HTTP traffic to load repositories will become a bottleneck. Some of these calls can be made asynchronous to allow multiple to occur at once.

Probably going to delay this to 1.3.0 as it turns out to be a very large change. I will do it in two phases - 1 making the "checks" async (install repo pull, match up pull, update check). then 2 making the downloads associated with an install or update (pulling manifests and groovy files) async.


python3Packages.arviz: init at 0.5.1

Motivation for this change
Introduce the python package arviz, which is a module for helping visualize Bayesian distributions.  Particularly useful in Bayesian Neural Network analysis.
Things done

[x] Tested using sandboxing (nix.useSandbox on NixOS, or option sandbox in nix.conf on non-NixOS linux)
Built on platform(s)

[x] NixOS
[ ] macOS
[ ] other Linux distributions

[ ] Tested via one or more NixOS test(s) if existing and applicable for the change (look inside nixos/tests)
[ ] Tested compilation of all pkgs that depend on this change using nix-shell -p nix-review --run "nix-review wip"
[x] Tested execution of all binary files (usually in ./result/bin/)
[ ] Determined the impact on package closure size (by running nix path-info -S before and after)
[ ] Ensured that relevant documentation is up to date
[x] Fits CONTRIBUTING.md.

nix-review happy on macos 10.13

commit message should be:
python3Packages.arviz: init at 0.5.1

arviz alone would mean you are putting a top level attribute in all-packages.nix

This should be fixed.  I was able to fix the first remotely from my phone earlier today, but I didn't have access to Github to update the title.

nix-review happy on macos 10.13

@risicle I'm much surprised. I was able to build this only after downgrading tensorflow-estimator and tensorflow-tensorboard to 0.14.0 to make tensorflow-bin build (#73703). And then test_data_tfp.py would completely fail all four of its tests.

@veprbl Can you give output?  I have a MacOSX machine I can test on.  But the issue might be (and commonly is based on the other tests) other packages in the ecosystem being just plain broken on NixOS.  I can disable that test if we cannot come to a satisfactory method of making it work.
However, it should be noted that when @risicle left that review I had tests disabled.  It was only at the prompting of @jonringer that I added them back in.

@GrahamcOfBorg build python37Packages.arviz

@GrahamcOfBorg build python37Packages.arviz


Add Material Theme Icons extension

[ ] Extension name: Material Theme Icons
[ ] Extension GitHub or homepage: https://github.com/material-theme/vsc-material-theme-icons

Just following up on this.

Thank you for the request. equinusocio.vsc-material-theme-icons is now live in the code-server extension marketplace.


Fix failing doctests

Release v0.1.1 broke the doctests because there was no global git config in CI. This fixes it.
Also I added two badges in the readme for PyPI and the project itself, if anyone wants to show support they could include the pybamm-cookie badge in their project readme.
Fixes #56

How about trying some of the answers here: https://github.com/orgs/community/discussions/26560?


Feature/icon sizing update

Updated icon sizing to 16px for clear / close icons where applicable in ticket.

Looks like the update you made to the alert also needs to be made to the banner alert.

Can we adjust the right-padding on the chip inside the multi-select and combobox?  Change it to 4px instead of 8px.  That way it looks more like this

instead of this


Get all the champions

Is your feature request related to a problem? Please describe.
Be able to return a list of all champions the champion model we return should contain a  link get the said champ basic info. This is a new feature.

Ill will work on this


Offline docs / distributable docs?

More of a question than an issue...
Are there any features/workarounds to have offline documentation? For example if developers don't have access to your hosted API docs, is there an easy way to save these, or generate something to distribute?

Currently there are two ways of doing that:

use the jsondoc-maven-plugin (how to on the website). But the plugin uses the DefaultJSONDocScanner, so if you are in a Spring project it will probably don't produce the doc you expect (maybe in the future it would be good to let the plugin user specify which scanner implementation to use in the plugin)
save the output of the jsondoc endpoint to a file and distribute that file, that is actually a json file containing the documentation. To view that, you can customize the jsondoc-ui to take a json file as input instead of fetching it from a url

Reopen if needed.


First commit for edgemarketplace SDK

Contributing to the Azure SDK
Please see our CONTRIBUTING.md if you are not familiar with contributing to this repository or have questions.
For specific information about pull request etiquette and best practices, see this section.

/azp run net - edgemarketplace - mgmt

/azp run prepare-pipelines

/azp run net - edgemarketplace - mgmt

API change check
APIView has identified API level changes in this PR and created following API reviews.
Azure.ResourceManager.EdgeMarketPlace


fix white flick when in dark mode

this fixes #121
This script is called a "render blocking" script, because it's placed in the head and will be evaluated before the page renders.
It's so fast that it don't add any overhead, and avoid the white flick.

I'm ok with the solution, but I can't test this today.
Can't reproduce the white flicker on localhost, so I don't know if this fixes it 🤷♂


fix OLLAMA_HOST parsing for ip6

Fix the environment parsing for OLLAMA_HOST so it can recognize ipv6 addresses, e.g. ipv6 loopback [::1]:11434
This is a breaking change since it's no longer possible to only set the address in OLLAMA_HOST, e.g. OLLAMA_HOST='localhost'. net.SplitHostPort requires a port so the bare minimum is something like :0 to listen on a random port. If this happens, host, port will be set to default values
Some examples:
Default
$ OLLAMA_HOST='' ollama serve
2023/09/20 17:55:23 routes.go:540: Listening on <IP_ADDRESS>:11434

IPv6 loopback
$ OLLAMA_HOST='[::1]:11434' ollama serve
2023/09/20 17:58:08 routes.go:540: Listening on [::1]:11434

Random port (any IPv4 & IPv6 address)
$ OLLAMA_HOST=':0' ollama serve
2023/09/20 17:58:26 routes.go:540: Listening on [::]:63574

Only IPv4
$ OLLAMA_HOST='<IP_ADDRESS>:12345' ollama serve
2023/09/20 17:58:37 routes.go:540: Listening on <IP_ADDRESS>:12345

Only IPv6
$ OLLAMA_HOST='[::1]:12345' ollama serve
2023/09/20 17:59:23 routes.go:540: Listening on [::1]:12345

It also removes OLLAMA_PORT
Resolves #560

Actually, read this a bit closer – is there a way we can still support OLLAMA_HOST=<IP_ADDRESS> ? (defaulting the port to 11434)?


add the secrets in the CLI and update commands to be compatible with projects

Pull Request Overview
What does it do?
Closes https://github.com/fonoster/fonoster/issues/274 which talks about secrets plugin migration and updates.

Add Secrets in Core API
Archive the secrets-plugins repo

Before asking for review I...

[x] Have added all relevant information about my changes in this PR
[x] Have performed a self-review of my own code
[x] Have made sure my code follows the project's style guidelines
[x] Have checked my code and corrected any misspellings
[x] Have made sure my changes generate no new warnings

/cc @psanders

I have read the CLA Document and I hereby sign the CLA

recheck

Hi @efraa
Everything looks good. However, this will have to be merged with 0.3 instead of master.


before complete hook for modal

This is a before modal close hook. Sometime we need this to get a better UI interaction experiences.
jQuery dialog plugin also has it.
http://api.jqueryui.com/dialog/

Can we merge this enhancement please? This hook can improve interaction experiences on mobile a LOT!

in 1.0, we'll make all applicable animations have before and after hooks


Remove grammar pickles from git

There is no need to keep the pickled grammar files in git. PR #203 will
move them into a user-specific cache directory any way.
See: https://github.com/ambv/black/issues/192
Signed-off-by: Christian Heimes<EMAIL_ADDRESS>

Pull Request Test Coverage Report for Build 375

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 95.658%

Totals

Change from base Build 374:
0.0%

Covered Lines:
2093

Relevant Lines:
2188

💛  - Coveralls

Pull Request Test Coverage Report for Build 375

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 95.658%

Totals

Change from base Build 374:
0.0%

Covered Lines:
2093

Relevant Lines:
2188

💛  - Coveralls


How to render text as html tags? Is there an option to do that?

Tried <Fragment> but that didn't work. Is there a way to render string passed in as HTML markup?

Is this what you're looking for? Warning.. read up on dangerouslySetInnerHTML in case you're not familiar with it. It can cause security vulnerabilities on un sanitised html.
<AccordionItemPanel
  dangerouslySetInnerHTML={{ __html: yourHtml }}
/>

@mynsteria : You can do it as follows and sanitise the HTML string to avoid XSS.
<AccordionItemPanel>
                   <span  dangerouslySetInnerHTML={{ __html: sanitizedHTMLString }}>
                       Exercitation in fugiat est ut ad ea cupidatat ut in
                       cupidatat occaecat ut occaecat consequat est minim minim
                       esse tempor laborum consequat esse adipisicing eu
                       reprehenderit enim.
                   </span>
</AccordionItemPanel>

@nithincvpoyyil that will work ok, but you don't really need to intorduce a span tag, see my answer above.
Where the inner html contains block elements like div, wrapping in span might lead to unexpected results, as by default span is an inline element.

@nithincvpoyyil that will work ok, but you don't really need to intorduce a span tag, see my answer above.
Where the inner html contains block elements like div, wrapping in span might lead to unexpected results, as by default span is an inline element.

Yes, you are correct, I just put a demo code. My point is to keep the panel & custom components separate for better decoupling.

I see, that you do not want to assume that dangerouslySetInnerHTML will always work directly on AccordionItemPanel. That's a fair point. I thnk it's safe to close this issue now right? @mynsteria


April Task List

Next few weeks

[ ] Order Donut Balloons - @emily-plummer
[x] Donut stickers for name tags Treehouse - @matthewmcvickar
[ ] Set up email account - @emily-plummer
[ ] Research Laser engraved donut things - @samplifylife
[ ] Hole punch stickers - @samplifylife
[ ] Tweet things (ask @emily-plummer for our Buffer acct details)
[x] Add sponsors to website -
[ ] Add new talk submission form to website -

Week of

[ ] Write up loose scripts for opening remarks - group https://paper.dropbox.com/doc/gQmgor8XuokiEZj5F7MLp
[ ] Chat about handling CoC violations if they come up - group
[ ] Test sheet projector - group (@emily-plummer bringing sheet)
[ ] Write day before email (make sure to include sponsor logos) -
[ ] Contact Coco Donuts (ideally more than a week before) -
[ ] Create Slack group for attendees -

Day of

[ ] Record the talks - @maxogden
[ ] Bring extra benches - @samplifylife
[ ] Pick up donuts -
[ ] Help with checkin at the door -
[ ] Bring lightening port converters -

After event

[ ] Send feedback email night of -
[ ] Have recap meeting a few days later - group

@emily-plummer I would love to help with check-in at the door.

@emily-plummer Also, we can remove hole-punchers from this list, as the stickers will come pre-punched!

Things to cover in opening remarks:

code of conduct
sponsors
ask people to submit cfp/performances
Slack group
if you're interested in being contacted by any of our sponsors
people talk to people
may tickets

@obensource i added items for you in the checklist above

@maxogden great, thanks! :D

Hrm... I have not the privileges to check the boxes above so I'll check-in here:

Picked up the PA speakers, Wireless Headset mics, cables.
Have the rest of the sound equipment ready (amp, line-mixer, cables, etc)
@maxogden:
Have the power extension chord
Have the gaff tape to tape cables down
Most likely have the long 1/8" stereo cable for you at home, but if not will pick up tomorrow.

Something that would be nice: would someone be able to download apogee duet 2 drivers, and Audacity so we can have a standalone computer dedicated to recording, if not I'm going to have to try something that is theoretically possible but maybe unpredictable which I've never done before: have a high-sampled audio stream recording in one application while generating/processing a ton of audio streams in another. 😬
Please let me know if anyone can let me use their machine for recording. Thanks all!

Looks like I can use Sam Syder's machine. 👍

@obensource If Sam Snyder's machine falls through, you can use mine; it's already got Apogee drivers and Audacity on it.


Add end-to-end tests for various GUI path scenarios

Description
Add end-to-end test infrastructure specifically for testing various GUI path scenarios.
Users may run the GUI on an arbitrary URL:

http://localhost:5681/gui
http://localhost:5681/my/adventure/into/how/deep/path/segments/may/go/gui
http://localhost:1234

With our routing setup (Vue and Vue router), we need to know the GUI base path in order to correctly construct root-relative URLs. This is very easy to break and hard to realistically test in our current development environment. A browser-based end-to-end test testing various scenarios can help with that.
Blocked by:

https://github.com/kumahq/kuma/pull/5295
https://github.com/kumahq/kuma-gui/issues/454

I’m closing this as we now have relatively good browser test coverage using Cypress and haven’t had issues with the GUI base path since then. We can always look into this again.


[Feature Suggestion] Filter by usage

I suggest all methods on the root document such as root.channels(), root.operations(), root.messages(), etc return all objects from around the document (including those in components).  On the contrary, as the perspective is always from the Application, those methods located in other places rather than the root will return objects associated with such collection; for example root.operations()[0].channels() will return channels associated with that particular operation.
In order to filter by objects in use or not in use by the Application, we could add .filterByInUse() and filterByNotInUse() methods to servers, channels and messages.
See the following examples:

Channels from root:

root.channels().all() (method that already exists)  -> returns channels across the whole document
root.channels().filterByInUse() -> returns channels used by the application
root.channels().filterByNotInUse() -> returns channels not used by the application

Channels from components:

components.channels().all() (method that already exists)  -> returns all channels defined as components.
components.channels().filterByInUse() -> returns channels used by the application
root.channels().filterByNotInUse() -> returns channels not used by the application

Servers from channels defined in the application (not as components):

root.channels()[0].servers().all()  (method that already exists) -> returns servers associated to a particular channel.
root.channels()[0].servers().filterByInUse() -> this will return the same as all() in this case.
root.channels()[0].servers().filterByNotInUse() -> this will return an empty array.

In terms of implementation (at least for Spec v2.x.x), we could compare the JSON payload to determine if an object is isolated only in components or used by the application.
The benefit I see is that this decouples even more the API from the document shape, as no matters where the objects are declared (components, root of the document, etc), we would now have standard methods to access those. That means if a BC is introduced within the spec where, i.e. channels are not defined anymore in the root document but somewhere else (like components), there will be no BC in the API.
Also the use case where some tooling needs to generate all models (like modelina) could benefit from this as well.
Originally posted by @smoya in https://github.com/asyncapi/parser-js/pull/619#discussion_r984432079
cc @fmvilas @magicmatatjahu  @jonaslagoni

Dear bot, don't close this issue. Sincerely, your human ❤


sparseinst onnx result issue

Hello, thank you for your nice work.
I trained sparseinst and use latest convert_onnx.py to converte onnx model successfully.
But, the result is different between pth and onnx.
(1)It seems the result of onnx only have two dimention: scores and masks. And the result of pth have three dimensions.
(2)I tried many images, but the scores of onnx is always low, and the masks is filtered to zero.
I have no idea if there are some problems in my inference code, If there are example scripts to inference image using onnx?
Thank you.

same question here is there any example on how to parse onnx results?

Trying to inference using ONNX converted from sparse_inst_r101_giam_7b62ea.pth  using
python convert_onnx.py --config-file configs/sparse_inst_r101_giam.yaml --width 640 --height 640 --opts MODEL.WEIGHTS sparse_inst_r101_giam_7b62ea.pth
on RGB image with normalization Means = { 123.675f, 116.28f, 103.53f } and STD = { 58.395f, 57.12f, 57.375f }
dumping all 100 masks outputs with threshold of 0.45f , manually checking them comparing to pth model output and having non of any masks outputted by ONNX is even near to results given by original PTH model.
I tried to switch channels RGB to BGR, also tried to scale down original image maintaining aspect ratio, nothing helps to achieve results like PTH model outputs.
Any idea how should ideal inference on ONNX look like?

Hi @NEFUJoeyChen and @VladMVLX, I'm fixing it now.

Hello @wondervictor @NEFUJoeyChen @VladMVLX I meet the same question too, we look forward to your reply, thank you very much

Dear all,
Any news about this problem?
I have made a model in TensorRT from the ONNX model provided by the script convert_onnx.py (
Score MSE between onnx and trt result:  3.7544023e-06)

TRT use time 0.18061614036560059for loop 1, FPS=5.536603749674943
ONNX use time 25.615907907485962 for loop 1, FPS= 0.03903824153379944
And as you said, even though the inference from TensorRT is way better than the Pytorch model for a "dummy input" on my jetson TX2, the output only returns the MASK and the SCORES. When i'm trying to add a third output to the ONNX model, ONNX doesn't let me doing it even though the Pytorch model return 3 output (Mask, Score, Predicted classes).

Also the output arrays of the ONNX models have the following shape :
output name masks
output shape [1, 100, 80]
output name scores
output shape [1, 100, 640, 640]
output type tensor(float)

whereas the Pytorch model return arrays  (1,1,100) for the predicted classes and scores if i'm not mistaken. How come?
I have also tried to use the checkpoint from the PINTO/model_zoo github which looks like having the predicted classes in the ouput but it doesn't convert to TensorRT anyway since the NonZero function doesn't exist in my TensorRT version. So how would PINTO have the labels and not your model? I'm trying to have them aswell.

Update :
I could get as output the masks, scores and predicted classes by modifying forward_test.
I have added those few lines at the end of the definition :
`results = self.inference_test(
output, images, max_shape, images.size())
processed_results = [{"instances": r} for r in results]
predictions = processed_results[0]
instances = predictions["instances"]
instances = instances[instances.scores > 0.5]
predictions["instances"] = instances
    return instances.scores, instances.pred_classes, instances.pred_masks`

The PNG image is the graph of my ONNX mdoel where you can see the three outputs. Waiting for the author to validate the method.
I'm going to test it with a real image.
GLH

F

Dear People,
I could solve the problems and parse the model to TensoRT. You need to remove the PPM_ONNX to have decent result from ONNX. Then you need to put out of the model the interpolate function
Here is a result I could get from TensorRT :

Dear  @LiZheng1997, before going into the explications, I have put my scripts in the following repository :
https://github.com/leandro-svg/SparseInst_TensorRT .
I have build everything on an edge device (Nvidia Jetson TX2) so it may not work at first on your computer but the idea is there.
In the ONNX converter file :

I indeed removed the ppm module line 95, it wouldn't build with it and the results were good enough without it.
I wanted to get the exactly identical output as the Pytorch model so I had to change the output names from ["scores, "masks"] to ["scores", "classes", "masks"] such that I could use the same post processing as with the Pytorch model.
I changed the dummy input but I don't think it changed anything anyway.
Line 107, the model.forward is changed to model.forward_test. In order to get the desired output, I also changed the forward_test definition in the sparseinst file. (See below)

In the SparseInst/sparseinst.py :
Following the last point in the previous section, I had to use the postprocessing of the Pytorch model to get the right output and use the initial model.foward and inference definition but...
In brief, the postprocess in the inference definition was using some function that weren't compatible with TensorRT or ONNX e.g. :

Line 167 : Interpolation function
Line 148 : keep = scores > self.cls_threshold (Not accepted with TensorRT)
Line 112 : Return a dictionnary which is not accepted in TensorRT and ONNX.
So basically, and I have to admit it isn't optimal at all, I had to take out a big part of the postprocess outside of the model. For example, the upsampling (interpolation) is done outside of the model inference.
In my github repository, you can go through my sparseinst.py code and check the forward_test_3 and inference_test_3 definitions see what changed and what has been removed. Then, if you go in the eval_tensorrt_onnx.py file, there is a definition called postprocess (Line 41) where the rest is done. For example, you can see the interpolation line ( nn.UpsamplingBilinear2d(size=(height, width))) or the dictionnary being created.

In conclusion :

Changed the convert_onnx.py to have the right output, removed ppm, changed the model.forward
Changed the sparseinst/sparseinst.py by removing interpolation, dictionnary output to tensor output, some other line non compatible with TensorRT (keep = scores > self.cls_threshold)
Changed the preprocess of the input to already have batched_input (See initial forward definition vs mine)
Changed the postprocess and added the line I had to remove in the model.forward like interpolation
My codes are clearly not perfect but hope it helps and good luck, TensorRT is really capricious sometimes, i spend my time in the verbose output and netron.app ... 👍 😄

Thank you so much!!! You save a lot of my time, I totally understand your solution, and am checking your codes now. BTW, I also use netron.app to review the output and the network, that is why the first time I saw your post, I knew your idea in general. TRT is not easy to learn at the early stage for me. You have done a great part work on this solution. :thumbsup: :thumbsup:Thanks again.

Thank you so much!!! You save a lot of my time, I totally understand your solution, and am checking your codes now. BTW, I also use netron.app to review the output and the network, that is why the first time I saw your post, I knew your idea in general. TRT is not easy to learn at the early stage for me. You have done a great part work on this solution. +1 +1Thanks again.

Dear @LiZheng1997, before going into the explications, I have put my scripts in the following repository : https://github.com/leandro-svg/SparseInst_TensorRT . I have build everything on an edge device (Nvidia Jetson TX2) so it may not work at first on your computer but the idea is there.
In the ONNX converter file :

I indeed removed the ppm module line 95, it wouldn't build with it and the results were good enough without it.
I wanted to get the exactly identical output as the Pytorch model so I had to change the output names from ["scores, "masks"] to ["scores", "classes", "masks"] such that I could use the same post processing as with the Pytorch model.
I changed the dummy input but I don't think it changed anything anyway.
Line 107, the model.forward is changed to model.forward_test. In order to get the desired output, I also changed the forward_test definition in the sparseinst file. (See below)

In the SparseInst/sparseinst.py : Following the last point in the previous section, I had to use the postprocessing of the Pytorch model to get the right output and use the initial model.foward and inference definition but... In brief, the postprocess in the inference definition was using some function that weren't compatible with TensorRT or ONNX e.g. :

Line 167 : Interpolation function
Line 148 : keep = scores > self.cls_threshold (Not accepted with TensorRT)
Line 112 : Return a dictionnary which is not accepted in TensorRT and ONNX.
So basically, and I have to admit it isn't optimal at all, I had to take out a big part of the postprocess outside of the model. For example, the upsampling (interpolation) is done outside of the model inference.
In my github repository, you can go through my sparseinst.py code and check the forward_test_3 and inference_test_3 definitions see what changed and what has been removed. Then, if you go in the eval_tensorrt_onnx.py file, there is a definition called postprocess (Line 41) where the rest is done. For example, you can see the interpolation line ( nn.UpsamplingBilinear2d(size=(height, width))) or the dictionnary being created.

In conclusion :

Changed the convert_onnx.py to have the right output, removed ppm, changed the model.forward
Changed the sparseinst/sparseinst.py by removing interpolation, dictionnary output to tensor output, some other line non compatible with TensorRT (keep = scores > self.cls_threshold)
Changed the preprocess of the input to already have batched_input (See initial forward definition vs mine)
Changed the postprocess and added the line I had to remove in the model.forward like interpolation
My codes are clearly not perfect but hope it helps and good luck, TensorRT is really capricious sometimes, i spend my time in the verbose output and netron.app ... +1 smile

Dear @leandro-svg
Thank you so much!!! :+1: You save a lot of my time, I totally understand your solution, and am checking your codes now. BTW, I also use netron.app to review the output and the network, that is why the first time I saw your post, I knew your idea in general. TRT is not easy to learn at the early stage for me. You have done a great part work on this solution. :+1: :+1:Thanks again. If I got any updates, I will tell you.

@leandro-svg I used a docker image( NVIDIA CUDA 11.7 Update 1 Preview, Pytorch1.13.0a0+340c412, TensorRT 8.2.5) to get a TensorRT engine with a RTX 3070 Card, which can pass the error of "Clip" do not have max or min value, this error may cause by different ONNX version or TRT version, I am still not clear. But it solved the "Clip" error, and then, I use the eval_tensorrt_onnx.py in your repository to inference an image. It shows a error about "GenericMask cannot handle object's type", so I comment Line51 in post_process function in eval_tensorrt_onnx.py, this cause the error of data type cannot be handled. Also, the Line 274 in _test_engine function in eval_tensorrt_onnx.py has to be uncommented when you want to save the inference result using visualizer.py in detectron2. Finally, I got the result of an image, but the result is not good like the offical one, this might be caused by taking out of the PPM module in backbone.
In conclusion, I got a similar result like yours.
in eval_tensorrt_onnx.py,

Line 51: Commented this line in  post_process function
Line 274: Uncommented this line in _test_engine function

Thanks for your work. :+1: :100:

First of, Thanks to authors of SparseInst 😉
And I'll check the changes about those two lines as well as the Clip node problem. Thank you


[HUDI-4936] Fix as.of.instant not recognized as hoodie config

Tips

Thank you very much for contributing to Apache Hudi.
Please review https://hudi.apache.org/contribute/how-to-contribute before opening a pull request.

What is the purpose of the pull request
HoodieSqlCommonUtils.withSparkConf() determines whether it is a hudi config key by judging the prefix hoodie., which will cause the as.of.instant configuration to be handled incorrectly. This PR is compatible with the judgment logic of as.of.instant.
Brief change log
(for example:)

Modify AnnotationLocation checkstyle rule in checkstyle.xml

Verify this pull request
(Please pick either of the following options)
This pull request is a trivial rework / code cleanup without any test coverage.
(or)
This pull request is already covered by existing tests, such as (please describe tests).
(or)
This change added tests and can be verified as follows:
(example:)

Added integration tests for end-to-end.
Added HoodieClientWriteTest to verify the change.
Manually verified the change by running a job locally.

Committer checklist

[ ] Has a corresponding JIRA in PR title & commit

[ ] Commit message is descriptive of the change

[ ] CI is green

[ ] Necessary doc changes done or have another open PR

[ ] For large changes, please consider breaking it into sub-tasks under an umbrella JIRA.

@gnailJC can you please elaborate if this is addressing an issue that you've faced or is it just code cleanup?

@gnailJC can you please elaborate if this is addressing an issue that you've faced or is it just code cleanup?

@alexeykudinkin this is reported in https://github.com/apache/hudi/issues/5586
This is not really a blocker; more of a usability with time travel, which can be mitigated as suggested in https://github.com/apache/hudi/issues/5586#issuecomment-1128319091
I updated the PR so that we can keep the compatibility for using this and filed https://issues.apache.org/jira/browse/HUDI-4935 for breaking change in 1.0.0


[Backport release-24.05] floorp: 11.18.1 -> 11.19.0

Release notes: https://blog.ablaze.one/4541/2024-09-21/
Git changelog<EMAIL_ADDRESS>Cherry picked from 94b5ecfb9502a5290583f86fe9ce04df5ba800ae on master, see also #346129.
The "Check cherry-picks" fails again like last time (https://github.com/NixOS/nixpkgs/pull/344739), since it must be hand-picked due to formatting differences.

Things done

Built on platform(s)

[x] x86_64-linux
[ ] aarch64-linux
[ ] x86_64-darwin
[ ] aarch64-darwin

For non-Linux: Is sandboxing enabled in nix.conf? (See Nix manual)

[ ] sandbox = relaxed
[ ] sandbox = true

[x] Tested, as applicable:

NixOS test(s) (look inside nixos/tests)
and/or package tests
or, for functions and "core" functionality, tests in lib/tests or pkgs/test
made sure NixOS tests are linked to the relevant packages

[x] Tested compilation of all packages that depend on this change using nix-shell -p nixpkgs-review --run "nixpkgs-review rev HEAD". Note: all changes have to be committed, also see nixpkgs-review usage
[x] Tested basic functionality of all binary files (usually in ./result/bin/)
24.11 Release Notes (or backporting 23.11 and 24.05 Release notes)

[ ] (Package updates) Added a release notes entry if the change is major or breaking
[ ] (Module updates) Added a release notes entry if the change is significant
[ ] (Module addition) Added a release notes entry if adding a new NixOS module

[x] Fits CONTRIBUTING.md.

Add a :+1: reaction to pull requests you find important.

@ofborg build floorp


Add Hadoop SequenceFile support for tensorflow Dataset

This fix adds Hadoop SequenceFile for tensorflow Dataset, so that it is possible to process files stored in Hadoop system directly.
This fix is a very preliminary and early implementation. It supports org.apache.hadoop.io.Text only, and there is no compression support yet.
Will work on expanding the support of other serialization types, and compresion support in the follow up PR.
Signed-off-by: Yong Tang<EMAIL_ADDRESS>

Nagging Reviewer @mrry: It has been 14 days with no activity and the awaiting review label was assigned. Can you please take a look?

Nagging Reviewer @mrry: It has been 29 days with no activity and the awaiting review label was assigned. Can you please take a look?

Thanks @mrry for the detailed review! The PR has been updated with comments addressed. Please take a look and let me know if there are any other issues.

@mrry The PR has been updated with the compiler errors (changes in framework/dataset.h) fixed. All tests passed except Sanity test, which is actually covered in https://github.com/tensorflow/tensorflow/pull/20474#issuecomment-401872675
Please take a look and let me know if there are any other issues.

@mrry Really sorry for the extra log files (1.log and 2.log) in the last update :cold_sweat: . I was too quick to use git add -A without check in detail.
The PR has been updated. Please take a look.

Thanks for that! The change looks good to me now.

Nagging Assignee @case540: It has been 14 days with no activity and this issue has an assignee. Please update the label and/or status accordingly.

@case540 As this PR has been approved and all tests passed, maybe it is ready to add ready to pull label?

Nagging Assignee @case540: It has been 14 days with no activity and this issue has an assignee. Please update the label and/or status accordingly.

Oh it fails under windows with:
FAIL: //py_test_dir/tensorflow/contrib/hadoop:hadoop_test (see T:/tmp/nsz6drem/execroot/org_tensorflow/bazel-out/x64_windows-opt/testlogs/py_test_dir/tensorflow/contrib/hadoop/hadoop_test/test.log)
INFO: From Testing //py_test_dir/tensorflow/contrib/hadoop:hadoop_test:
==================== Test output for //py_test_dir/tensorflow/contrib/hadoop:hadoop_test:
2018-08-08 21:40:30.356453: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
E.
======================================================================
ERROR: test_sequence_file_dataset (__main__.SequenceFileDatasetTest)
Test case for SequenceFileDataset.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "C:\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1293, in _do_call
    return fn(*args)
  File "C:\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1278, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "C:\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1368, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: NewRandomAccessFile failed to Create/Open: \\?\T:\tmp\Bazel.runfiles__x3fyn6j\runfiles\org_tensorflow\py_test_dir\tensorflow\contrib\hadoop\python\kernel_tests\testdata/string.seq : The filename, directory name, or volume label syntax is incorrect.

; Unknown error
	 [[{{node IteratorGetNext}} = IteratorGetNext[output_shapes=[[], []], output_types=[DT_STRING, DT_STRING], _device="/job:localhost/replica:0/task:0/device:CPU:0"](IteratorV2)]]

Could you fix the merge conflicts? Then I'll attempt to merge it

Looks like part of this PR has been merged. But let's run another import with the new commits once the conflicts have been resolved.

Thanks @case540 @yifeif for the help. It looks like the changes are already in though the PR is not closed automatically. When I do the git rebase upstream/master it have:
ubuntu@ip-172-31-47-125:~/tensorflow$ git rebase --continue
Applying: Fix Windows Build failures caused by os.path.join
No changes - did you forget to use 'git add'?
If there is nothing left to stage, chances are that something else
already introduced the same changes; you might want to skip this patch.

When you have resolved this problem, run "git rebase --continue".
If you prefer to skip this patch, run "git rebase --skip" instead.
To check out the original branch and stop rebasing, run "git rebase --abort".

ubuntu@ip-172-31-47-125:~/tensorflow$

I also checked the master and the changes are there. I think it is safe to close this PR.

Thanks all for the help 👍 !

Perfect. Thank you @yongtang!


Resize does not work - Always minimum size

When i try to resize my grid item it always resizes to minimum size.
Minimum Size: 4x4
Maximum Size: 0x0 (without limit) or 8x8 (doesn't matter)
Version: 2.0.5

Hi, I has the same issue.
Just add this for grid:
'min_cols': 0,
'min_rows': 0

@GerritK are you still getting this issue? Can you give me the config you were using and perhaps a plunker reproduction so I can investigate it further?

I changed my job and the product with this issue is not developed by me anymore. But i believe the issue was fixed.


feat: Download required dependencies for installation from source

Also need to update document if this PR has been accepted.
https://docs.gitea.io/en-us/install-from-source/

Why? This is already part of the make task that requires bindata, e.g. https://github.com/appleboy/gitea/blob/master/Makefile#L45-L47

My mistake. closed this issue.


Synonym request for GO:0090149 mitochondrial membrane fission

Hello,
I would like to request a synonym for 'GO:0090149 mitochondrial membrane fission' (a child of 'GO:0090148 membrane fission' and 'GO:0000266 mitochondrial fission').
The synonym would be 'mitochondrial membrane scission'.
This would then be analogous in nature to 'GO:0099050 vesicle scission', which is a child of 'GO:0090148 membrane fission'.
Thanks,
Barbara
@RLovering
@Pauldenny
@rebeccafoulger

This is related to #12479.

This is related to #12611 .

Hi Barbara,
Should there also be a synonym of membrane fission that is 'membrane scission'?
Tanya

Hi Tanya,
Yes, this is precisely how I understand these terms. I have just had a chat with @dosumis about this and he also agreed with this logic.
Barbara

Synonyms added as requested.


TCP and UDP Traffic Unsupported

In the FAQ, it states that TCP and UDP traffic is unsupported when that should in fact say that only TCP and UDP traffic is supported.
https://learn.microsoft.com/en-us/azure/private-link/private-link-faq#do-private-endpoints-support-tcp-and-udp-traffic-

Document Details
⚠ Do not edit this section. It is required for learn.microsoft.com ➟ GitHub issue linking.

ID: 80dbc84e-6b51-585f-4cb3-f1cc53658487
Version Independent ID: d134edd4-43ba-3f61-334d-7058fcf8d9b0
Content: Azure Private Link frequently asked questions (FAQ)
Content Source: articles/private-link/private-link-faq.yml
Service: private-link
GitHub Login: @asudbring
Microsoft Alias: allensu

@josheinstein Thank you for your feedback! We will review and update as appropriate.

@josheinstein thanks for the feedback.
Yep, I got that one mixed up when I added it to the faq.  Will fix.
Thanks!

Opened PR to fix.
https://github.com/MicrosoftDocs/azure-docs-pr/pull/217079
#please-close


Android UITests: Unable to unfocus editor

Since Xamarin.UITests 3.0.3 some of our UITests fail. This is caused by the fact that when an editor has focus, tapping another element does not remove focus from the editor. This works properly when manually tapping an element in the UI. This also worked with Xamarin.UITests 3.0.0

@nielscup I'll have the PM take a look. Have you contacted our support team on this issue?

Thank you for reporting the bug. I will triage it with the team.

@nielscup Can you help us out and show minimal project example so that we can reproduce the bug?


ASPECT_RATIOS

Whay the aspect ratios are define like this:
ASPECT_RATIOS: [[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2], [1, 2]]
can any body explain it please?
Also i see in another place it also define like:
ASPECT_RATIOS: [[[0.1,0.1], [0.2,0.2], [0.3,0.3], [0.5,0.5], [0.9,0.9]]]
I am not sure why? plus should not aspect ratio be like 1:2 ....

just 2 way to initialize the aspect ratio. Please check the code.


Gradients update primitives

Hi,
I want to train a new net with MKL-DNN. I read through demos in examples, and found that MKL-DNN seems not to provide gradients update primitives, such as Adam etc, and as well as loss functions, such as cross entropy. Is it true that those primitives have not been implemented in MKL-DNN?

Hi @stonextu,
Yeah, that's correct. Intel MKL-DNN mostly focuses on compute intensive primitives like convolution, inner products and RNNs; and some auxiliary primitives that typically happen in-between those. The assumption is that majority of the primitives (which are not performance bottleneck) can be implemented by a user or frameworks.
In particular, the library doesn't provide any solvers or applying the weights update. For the simplest case you can you mkldnn::sum with scaling factor though (to implement w = w + alpha * dw). But of course the more advanced solvers require much more complicated operations and require manual programming.

@emfomenk Thanks for your reply.


fix: replace request with got for HTTP calls

What does this PR do?
replace request dependency with got.
request is deprecated: https://www.npmjs.com/package/request
What issues does this PR fix or reference?
@W-0@

QA notes:
linked plugin-trust
✅ install a signed plugin (rel-mgmt), no warning
✅ install a signed plugin (org), no warning (did this because rel-mgmt installs its own plugin-trust, undoing my link, so I re-linked plugin-trust first)
✅ install an unsigned plugin (mine), got warning
not tested: proxies
not tested: a signed plugin with an invalid cert


How to turn on enableBackdrop effect in ngx-tour v2.0.0. M using Angular5 and ngx-tour2.0.0?

Please tell me how to enable backdrop option in v2.0.0 as enableBackdrop: true gives error.

That feature was probably not implemented in that version.
On Fri, Feb 8, 2019, 6:21 AM dws-tushargupta<EMAIL_ADDRESS>wrote:

Please tell me how to enable backdrop option in v2.0.0 as enableBackdrop:
true gives error.
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
https://github.com/isaacplmann/ngx-tour/issues/160#issuecomment-461772106,
or mute the thread
https://github.com/notifications/unsubscribe-auth/AA0lQN_QyAafFnf7rQX3SGS6bjxQCy1Mks5vLV2cgaJpZM4avArO
.

Thanks for the response.
Is there any way(any css),that might help in achieving that effect?

Successfully implemented backdrop effect by implementing following code in my global 'styles.scss'.
`.touranchor--is-active {
position: relative;
z-index: 1001	;
}
.cdk-overlay-transparent-backdrop {
background: black;
}`


SelectionArea control

https://api.flutter.dev/flutter/material/SelectionArea-class.html

https://flet.dev/docs/controls/selectionarea


Added: ProxMox VE script, LetsEncrypt Proxy script and Debian 11 deployment scripts

This will bring the script that I made some time ago to the master branch.

Do note: I changed the scripts to not require a web server but this is not yet tested. Please report any bugs.


Add support for Jackson's JsonView

Hi,
I have a need to use jackson's JsonView annotation with your wonderful library. Here is the change I made to make use of that feature. It adds handling of the "javaJsonView" field name to the schema json. This causes a @JsonView annotation to appear on the resulting field of the pojo.
cheers,
Jon
(this was previously https://github.com/joelittlejohn/jsonschema2pojo/pull/290)

{"name":"ss","age":12}


ONNX error: forward() takes 2 positional arguments but 3 were given

I'm hoping to try out your model with my custom data, but I need to get it converted to ONNX eventually, so I thought I'd try converting the simple examples first, as a test.
I'm just running, as a quick training pass:
python main.py pretrain --train_path data/example/train.txt --val_path data/example/val.txt
Then I try to load/convert the checkpoint with:
import torch
from collections import OrderedDict

from bert.train.model.bert import build_model
from bert.preprocess.preprocess import add_preprocess_parser
from bert.train.train import add_pretrain_parser, add_finetune_parser

trained_pth = 'checkpoints/BERT-BERT-{phase}-layers_count={layers_count}-hidden_size={hidden_size}-heads_count={heads_count}-{timestamp}-layers_count=1-hidden_size=128-heads_count=2-2019_07_14_17_44_38/epoch=010-val_loss=6.14-val_metrics=0.0-0.331.pth'
state_dict = torch.load(trained_pth, map_location='cpu')['state_dict']  # NOTE: This is an OrderedDict()
ordered_dict = OrderedDict()
for k, v in state_dict.items():
    name = k[13:]
    ordered_dict[name] = v

model = build_model(1, 128, 1, 128, 0.1, 512, 151)
model.load_state_dict(ordered_dict)

dummy_input = (torch.randn(1, 128).long(), torch.randn(1, 128).long())
input_names = ["input_sequence", "segment"]
output_names = ["predictions"]
torch.onnx.export(model, dummy_input,"bert.onnx", verbose=True, input_names=input_names, output_names=output_names)

Obviously something's wrong, because I'm hitting the following error:
File "/home/james/src/BERT-pytorch/basic_test_to_onnx.py", line 24, in <module>
  torch.onnx.export(model, dummy_input,"bert.onnx", verbose=True, input_names=input_names, output_names=output_names)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/onnx/__init__.py", line 25, in export
  return utils.export(*args, **kwargs)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/onnx/utils.py", line 131, in export
  strip_doc_string=strip_doc_string)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/onnx/utils.py", line 363, in _export
  _retain_param_name, do_constant_folding)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/onnx/utils.py", line 266, in _model_to_graph
  graph, torch_out = _trace_and_get_graph_from_model(model, args, training)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/onnx/utils.py", line 225, in _trace_and_get_graph_from_model
  trace, torch_out = torch.jit.get_trace_graph(model, args, _force_outplace=True)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/jit/__init__.py", line 231, in get_trace_graph
  return LegacyTracedModule(f, _force_outplace, return_inputs)(*args, **kwargs)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
  result = self.forward(*input, **kwargs)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/jit/__init__.py", line 294, in forward
  out = self.inner(*trace_inputs)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/nn/modules/module.py", line 491, in __call__
  result = self._slow_forward(*input, **kwargs)
File "/home/james/anaconda3/envs/fastai/lib/python3.7/site-packages/torch/nn/modules/module.py", line 481, in _slow_forward
  result = self.forward(*input, **kwargs)

builtins.TypeError: forward() takes 2 positional arguments but 3 were given

But it doesn't look like I have direct access to the caller of this, so I'm really not sure where the extra argument is coming from, or how I might fix it. Do you know, offhand, whether this model can be converted successfully to ONNX?

same to me, have you solved it?

same to me, have you solved it?

I see, dummy_input must be a list but not a tuple


Join Table for API

Since somehow the data is exist in another table, we need to have feature to join table in API with easy configuration.

Fix in v0.1.4


Unable to parse variants (e.g. weather information)

When obfuscated, it comes as follows:
[org/gnome/shell/weather]
locations=[<(uint32 2, <('Gdańsk', 'EPGD', true, [(0.94916821905848536, 0.32230414101938371)], [(0.94858644845891815, 0.32579479952337237)])>)>, <(uint32 2, <('Gdynia, Działdowo County, Warmian-Masurian Voivodeship', '', false, [(0.93027949445787339, 0.34699627038777753)], [(0.93861053042695397, 0.35744550775024858)])>)>, <(uint32 2, <('Gdynia, Pomeranian Voivodeship', '', false, [(0.95149239024756216, 0.32358882203124067)], [(0.94858644845891815, 0.32579479952337237)])>)>]

When slightly formatted, we can tell that <()> are some kind of tuples :eyes: in dconf:
locations=[
  <(
    uint32 2,
    <(
      'Gdańsk',
      'EPGD',
      true,
      [(0.94916821905848536, 0.32230414101938371)],
      [(0.94858644845891815, 0.32579479952337237)]
    )>
  )>,
  <(
    uint32 2,
    <(
      'Gdynia, Działdowo County, Warmian-Masurian Voivodeship',
      '',
      false,
      [(0.93027949445787339, 0.34699627038777753)],
      [(0.93861053042695397, 0.35744550775024858)]
    )>
  )>,
  <(
    uint32 2,
    <(
      'Gdynia, Pomeranian Voivodeship',
      '',
      false,
      [(0.95149239024756216, 0.32358882203124067)],
      [(0.94858644845891815, 0.32579479952337237)]
    )>
  )>
]

Reference: https://developer.gnome.org/glib/stable/gvariant-text.html

May I ask why this issue got closed?

Because it got fixed by #3 @mi-skam

Okay, then I need to investigate why I still see this behaviour 🤪

If you are able to reproduce it with the latest version please feel free to open another issue.