API Interceptor: Add the HTTP method as a field to the data sent to the Interceptor

Rancher Versions:
Server: master build
It may benefit the creator of the interceptor to know what is the HTTP method originally sent to the Rancher API.

I was able to get the original HTTP method that sent to Rancher API:
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] Request Intercepted.....
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] UUID: cb7db86c-f4a3-11e6-8aa5-0242ac110002
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] Headers: ....
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] Body: map[]
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] EnvID: 1a63
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] API Path: /v2-beta/projects/1a63/stacks
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] API Method: GET
2/17/2017 1:58:21 AMDEBU[2017-02-16T23:58:21Z] Request Ended.....

2/17/2017 2:00:05 AMINFO[2017-02-17T00:00:05Z] Endpoint Invoked "/"
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] Request Intercepted.....
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] UUID: 0989f576-f4a4-11e6-8aa5-0242ac110002
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] Headers: ....
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] Body: map[created:<nil> kind:<nil> name:aaaaaaa previousExternalId:<nil> removed:<nil> startOnCreate:true system:false description:<nil> externalId: group:<nil> healthState:<nil> type:stack uuid:<nil>]
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] EnvID: 1a63
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] API Path: /v2-beta/projects/1a63/stack
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] API Method: POST
2/17/2017 2:00:05 AMDEBU[2017-02-17T00:00:05Z] Request Ended.....

2/17/2017 2:00:16 AMINFO[2017-02-17T00:00:16Z] Endpoint Invoked "/"
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] Request Intercepted.....
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] UUID: 10554f87-f4a4-11e6-8aa5-0242ac110002
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] Headers: ....
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] Body: map[]
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] EnvID: 1a63
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] API Path: /v2-beta/projects/1a63/stacks/1st39
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] API Method: DELETE
2/17/2017 2:00:16 AMDEBU[2017-02-17T00:00:16Z] Request Ended.....


frontend: Fix navigation in Data Jobs

Changed navigation in Data Jobs list from navigateToUrl to locationToURL, because telemetry events are sent only when Angular router navigation occurs. We don't want telemetry to be send when filters are applied in the URL as query string.
Fix for Browser pop states while User is in Data Jobs list and going backward/forward and state from URL is propagated to the component.
Removed icon new from Executions tab in Data Job view.
Fix for some e2e tests.

We don't want telemetry to be send when filters are applied in the URL as query string.

I am not sure I understand that. Why do not we want telemetry to send when filters are applied ? That seems like useful information to understand what filters are people most often using , how are they changing them ?

@tozka the answer is complex, if you want we could make a quick call and I can explain you what we want to achieve with this changes here, in metadata and in supercollider.

We don't want telemetry to be send when filters are applied in the URL as query string.

I am not sure I understand that. Why do not we want telemetry to send when filters are applied ? That seems like useful information to understand what filters are people most often using , how are they changing them ?

@tozka the answer is complex, if you want we could make a quick call and I can explain you what we want to achieve with this changes here, in metadata and in supercollider.


Updates package to use tools from newer cookiecutter

Updates files in this package to use the newer cookiecutter per @fcollonval in #43. Now, with jupyter-packaging installed, the jupyter labextension develop . --overwrite completes without errors. (If you don't have that package installed, the script will prompt you to install it.)

Thanks a lot @jweill-aws

If you don't have that package installed, the script will prompt you to install it.

Actually if you don't have, it does not matter when running jupyter labextension develop . --overwrite. The trouble comes from the need to get the python package name when executing jupyter labextension develop. Hence the new setup.py allows to get it without the need for jupyter-packaging. But the latter is still used by pip in the virtual build environment.


Unable to authenticate first time

I believe I read the directions completely, and I did run the 'rename.exe' which asked for an 'admin' password.   Unfortunately, on my first run of the web application, it requests a username and password.
I used the 'Lost Password' link and put my email address in there.   It did not send anything.   Then I checked the code, and it looks like it checks the database for an account.    When I checked the database, there are no users, roles, or permissions in the database.
Is there possibly a script to load an initial admin account into the database? or something I can do to artificially create a role,permission,account?   I think I can figure out the account and role portions, but I don't understand what I need to put in the 'Permission' table.
Thanks.

Sorry.   I didn't go to https://www.codeproject.com/Articles/820836/ASP-NET-MVC-Template-introduction for more instructions.   I will withdraw this.


DependencyHandler should accept a ListProperty for lazy dependency notation

DependencyHandler accepts a List<Provider<String>> for dependency notations. It should allow a ListProperty<String> as well for consistency.

I think this behavior is different between Groovy and Kotlin DSLs.  Groovy allows lists because it translates List<Provider<String>> to multiple calls.
In the DependencyCollector-based APIs, we do not directly support lists of dependencies.  So you need to call add on each element or use .bundle.
I don't think we want to expand DependencyHandler to support lists more than what DependencyCollector supports.


fix invalid path to certificates

Thanks @maslina3000,
unfortunatly this is done by puropose. Your certificates must be mount to /container/service/slapd/assets/certs and the container may copy it in /container/run/service/slapd/assets/certs if run with --copy-service argument


Add download data for April and May 2021

The Circe organization had 4,526,465 downloads from 166,039 unique IPs in April, which was down slightly from March.
May was up to 4,845,375 downloads from 171,038 unique IPs (a new all-time record).
Typelevel followed a similar pattern, with 11,297,965 downloads (42,1407 IPs) in April and 11,432,585 (418,763) in May.
I've also added some older data for the Scala 3 pre-releases to preserve the historical record before it gets thrown out by Sonatype.

Codecov Report

Merging #1784 (eb2c3f0) into master (70e3c4e) will increase coverage by 0.41%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master    #1784      +/-   ##
==========================================
+ Coverage   85.99%   86.41%   +0.41%
==========================================
  Files          72       68       -4
  Lines        2499     2473      -26
  Branches      136      142       +6
==========================================
- Hits         2149     2137      -12
+ Misses        350      336      -14

Impacted Files
Coverage Δ

...core/shared/src/main/scala/io/circe/CursorOp.scala
54.16% <0.00%> (-1.39%)
:arrow_down:

...es/core/shared/src/main/scala/io/circe/Error.scala
62.06% <0.00%> (-0.44%)
:arrow_down:

...nter/src/main/scala/io/circe/pointer/Pointer.scala
89.34% <0.00%> (-0.13%)
:arrow_down:

.../core/shared/src/main/scala/io/circe/Decoder.scala
83.72% <0.00%> (-0.05%)
:arrow_down:

...d/src/main/scala-2.12/io/circe/CompatBuilder.scala

...in/scala/io/circe/pointer/PointerSyntaxError.scala

.../main/scala-2.12/io/circe/CollectionDecoders.scala

...rc/main/scala-2.12/io/circe/FactoryInstances.scala

...rc/main/scala/io/circe/numbers/BiggerDecimal.scala
88.30% <0.00%> (+1.75%)
:arrow_up:

...re/shared/src/main/scala/io/circe/MapDecoder.scala
96.00% <0.00%> (+8.00%)
:arrow_up:

Continue to review full report at Codecov.

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BUG: backwards compatibility break in master with distribution broadcasting

see #13589
AFAICS, #13611 broke statsmodels code, change is not backwards compatible
https://github.com/statsmodels/statsmodels/issues/7371
statsmodels uses a subclass of rv_discrete
we have our own copy of scipy's lazywhere
AFAICS it breaks with scipy master because elements don't match in shape anymore
    def _logpmf(self, x, mu, w):
        return _lazywhere(x != 0, (x, mu, w),
                          (lambda x, mu, w: np.log(1. - w) + x * np.log(mu) -
                          gammaln(x + 1.) - mu),
                          np.log(w + (1. - w) * np.exp(-mu)))

the final part of the traceback in azur testing is
>       return _insert(arr, mask, vals)
E       ValueError: place: mask and data must be the same size

/opt/hostedtoolcache/Python/3.9.2/x64/lib/python3.9/site-packages/numpy/lib/function_base.py:1748: ValueError

This specific issue seems to be because statsmodels is using the current scipy but an old copy of _lazywhere.
It is possible that other user's sub-classes could be broken. I have a branch where I was working on an opt in model (preserving the old argsreduce by default) which I could clean up and submit if there is interest. It does mean a significant amount of cruft in the code which might not be considered worth it.

Thanks for the report @josef-pkt, and for looking into it @iandall.
It seems kind of painful to break the latest released statsmodels when we release SciPy 1.7.0. There's also a second regression (already fixed) reported on the PR: https://github.com/scipy/scipy/pull/13611#issuecomment-812900208. So if we know that there are likely to be more cases of broken subclasses, we may have to consider the opt-in model (which admittedly isn't great). I'm not quite sure, so labelling with 1.7.0 so we won't forget.
Perhaps we should see if there's a workaround for statsmodels, and leave it as is in 1.7.0rc1 and see if anyone else notices?

It's fixed in statsmodels master using scipy's _lazywhere instead of our old copy  https://github.com/statsmodels/statsmodels/pull/7385
I don't think there is a workaround for released statsmodels except monkey patching or replacing statsmodels' lazywhere

Thanks @josef-pkt

It is possible that other user's sub-classes could be broken. I have a branch where I was working on an opt in model (preserving the old argsreduce by default) which I could clean up and submit if there is interest. It does mean a significant amount of cruft in the code which might not be considered worth it.

We may need to do this then. Cc @WarrenWeckesser who found the other regression, and @ev-br. Opinions?

Is there a way to retain improvements in a back compatible way?

A standalone test MWE would help, too

The test case in statsmodels requires the old scipy version of lazywhere.
For inplace modification of arrays, AFAICS, there are many cases in the original scipy code https://github.com/scipy/scipy/pull/13611/files
If it's opt-in, then all scipy distributions can opt-in and get the speed advantage.
This would still break code for subclasses of the specific distributions, but my guess is that there are few user cases like that.

So your suggestion is then to document the breaking change in the release notes and see how bad the breakage is, Josef?

@mdhaber I'm not likely going to add a release note entry for this this evening, but it may be prudent to do so for stats  backwards incompatible changes during the release candidate phase perhaps..

@tylerjereddy OK. I don't currently know about this issue and I can't think of any other backwards-incompatible changes.
@rgommers can you add this, since it looks like you worked on gh-13611?

Guess we didn't get around to this - let's see if anyone complains......

No one else complained, and it was fixed in statsmodels with its Oct'21 0.13.0 release. It's not likely there are other (high-profile) users, because this relied on private API (lazywhere from scipy._lib). So I propose we close this issue.


Not skipping eslint step gracefully when config is missing

It looks like the code makes an attempt to gracefully skip the eslint step when a configuration is not found: https://github.com/decaffeinate/bulk-decaffeinate/blob/master/src/modernize/runEslintFix.js#L37
In practice, I'm receiving this output:
Running eslint --fix on all files...

Error while running eslint:

It seems like all the conversion is done, but it confused me at first and made me think the decaffeinate process had errored out prematurely.
I'm running on Mac OS X 10.12.6, Node 6.11.2, and eslint 4.5.0 (installed globally, not installed in project being decaffeinated).

Thanks for reporting, I think the issue is that eslint now reports the error on stderr and I'm checking stdout. Should hopefully be an easy fix.


Improved design system of table component

Need to improve this component on \<Table>\src\<table.design-system.mdx>
Improvements done as :

A brief intro about component.
Adding 1 or 2 more images to make it more clear to user with different design for same component.
Updating background and text color.
Adding other properties with value that is left in current design-system.mdx like border-radius what value is in componet etc.

You can checkout this one for better understanding.

@RajKanani1206 please review and assign me.

@Kumar-Ankit56 go ahead


convert_pascal_voc_to_tfrecords  error

While running the notebook i get the following error.
IOError                                   Traceback (most recent call last)
 in ()
24
25 write_image_annotation_pairs_to_tfrecord(filename_pairs=overall_train_image_annotation_filename_pairs,
---> 26                                          tfrecords_filename='pascal_augmented_train.tfrecords')
/home/fmthoker/bonn/lab_vision_systems/slim/models/tf-image-segmentation/tf_image_segmentation/utils/tf_records.py in write_image_annotation_pairs_to_tfrecord(filename_pairs, tfrecords_filename)
36
37         img = np.array(Image.open(img_path))
---> 38         annotation = np.array(Image.open(annotation_path))
39         # Unomment this one when working with surgical data
40         # annotation = annotation[:, :, 0]
/home/fmthoker/bonn/lab_vision_systems/tensorflow/local/lib/python2.7/site-packages/PIL/Image.pyc in open(fp, mode)
2408
2409     if filename:
-> 2410         fp = builtins.open(filename, "rb")
2411         exclusive_fp = True
2412
IOError: [Errno 2] No such file or directory: './benchmark_RELEASE/dataset/cls_png/2008_007573.png
Note: i have downloaded both pascal dataset and benchmark.

Hey, I got a similar error. I didn't know what the problem was so I simply circumvented it by ensuring all image and annotation filenames exist by adding this condition at Line 36 in utils/tf_records.py
for img_path, annotation_path in filename_pairs:
        if os.path.exists(img_path) and os.path.exists(annotation_path):
                img = np.array(Image.open(img_path))
                annotation = np.array(Image.open(annotation_path))
                # Unomment this one when working with surgical data
                # annotation = annotation[:, :, 0]

                # The reason to store image sizes was demonstrated
                # in the previous example -- we have to know sizes
                # of images to later read raw serialized string,
                # convert to 1d array and convert to respective
                # shape that image used to have.
                height = img.shape[0]
                width = img.shape[1]

                img_raw = img.tostring()
                annotation_raw = annotation.tostring()

                example = tf.train.Example(features=tf.train.Features(feature={
                    'height': _int64_feature(height),
                    'width': _int64_feature(width),
                    'image_raw': _bytes_feature(img_raw),
                    'mask_raw': _bytes_feature(annotation_raw)}))

                writer.write(example.SerializeToString())

    writer.close()

`

You need to convert the .mat annotations into images, before converting to tf_records
You can do this by:
`
from tf_image_segmentation.utils.pascal_voc import convert_pascal_berkeley_augmented_mat_annotations_to_png
pascal_berkeley_root = '/home/joseph/Dataset/BerkleySegmentationData/benchmark_RELEASE'
convert_pascal_berkeley_augmented_mat_annotations_to_png(pascal_berkeley_root)
`


Add an school overview page that merges mutable/precomputed data on c…

…lient side

Separate page so we can test and then make default if it's good

Tests pass locally!


Doesn't work with update 8?

Very sad, I have wanted this capability for a while.  This is what I get, using the EXE, following the instructions.  Is it me, or the tool?
Decompressing...Traceback (most recent call last):
File "train_rearranger.py", line 812, in
File "train_rearranger.py", line 689, in main
File "train_rearranger.py", line 524, in init
File "train_rearranger.py", line 557, in unzip_body
zlib.error: Error -3 while decompressing data: unknown compression method

Hi! Thanks for bringing this up.
I haven't tested the tool on Update 8 yet, so I'm not surprised that something is going wrong. There must have been a slight change in the savefile format, possibly because of the newly added Advanced Game Settings.
I'll try to take a closer look at it somewhere this week!

I've started working on it today, no need for a save file anymore. Update 8 introduced a whole bunch of changes to the save format.
Current progress is that I got the parsing working, so it's reading all the Stations and Trains correctly. I will continue tomorrow with writing the new save file.

Code has been fully updated to work with the latest version of Satisfactory (as of now v<IP_ADDRESS>) and a new v0.2.0 Release of this tool has been made


imglab Build Error: error C2338: Failed assertion

Hi, so whenever I build the imglab through cmake it fails.
I tried both the latest version here in Github and the 19.1 in the website
here's the complete error It think:
"C:\Users\antho\Desktop\dlib-19.1\dlib-19.1\tools\imglab\build\ALL_BUILD.vcxproj" (default target) (1) ->
"C:\Users\antho\Desktop\dlib-19.1\dlib-19.1\tools\imglab\build\imglab.vcxproj" (default target) (4) ->
(ClCompile target) ->
c:\users\antho\desktop\dlib-19.1\dlib-19.1\dlib\image_saver/save_png.h(64): error C2338: Failed assertion [C:\Users\antho\Desktop\dlib-19.1\dlib-19.1\tools\imglab\build\imglab.vcxproj]
thanks!!!

What happens if you run cmake . again before building?   I think there is
a bug in recent windows versions of cmake that makes it not generate
projects correctly on the first invocation.

yeah that did it.
thanks again...


Fixed Instagram query parameters

Salaam,
I tested it and it doesn't work with id parameter, so I fixed it and it worked with username parameter.

great, thanks!


[x] skip whitespace lints for .exp files

@bors-libra r=tnowacki

:pushpin: Commit a8d8b6c has been approved by tnowacki

:hourglass: Testing commit a8d8b6cef125d3cab25cff73d44a1c6ddf6e7a4d with merge d4d3c1b1cd5fcfe827a420adda34eb1c4c110ddd...

:sunny: Test successful - checks-circle_commit_workflow
Approved by: tnowacki
Pushing d4d3c1b1cd5fcfe827a420adda34eb1c4c110ddd to master...


Add GitHub Copilot native

Add GitHub Copilot native integration with Backward compatibility

Hi @saoudrizwan, When you get a chance, could you take a look? If everything looks good, feel free to merge it.
Thanks!

Relates to Add GitHub Copilot provider https://github.com/cline/cline/discussions/660

Hi there, I tried your implementation, but I’m encountering an issue where Claude seems to get stuck in a loop. The first API message displays correctly, Claude summarizes a first overhead, but then it proceeds to read a few files and eventually hangs on a specific file, repeatedly making the API request with the message: "Claude, read this file:". A continuous loop, which I'm only experiencing with the Copilot integration, Anthropic API works fine. What may cause this?
Have you experienced anything similar during testing of your updates? I've tried multiple Workspaces, VS Code is on version 1.95.3. Looking forward to this game-changing implementation using Github Copilot.

Hi there, I tried your implementation, but I’m encountering an issue where Claude seems to get stuck in a loop. The first API message displays correctly, Claude summarizes a first overhead, but then it proceeds to read a few files and eventually hangs on a specific file, repeatedly making the API request with the message: "Claude, read this file:". A continuous loop, which I'm only experiencing with the Copilot integration, Anthropic API works fine. What may cause this?
Have you experienced anything similar during testing of your updates? I've tried multiple Workspaces, VS Code is on version 1.95.3. Looking forward to this game-changing implementation using Github Copilot.

Ditto.

Even if it gets rate limited quickly, I'd love to be able to save some API money by switching to Copilot now and then. Hope this gets added

Even if it gets rate limited quickly, I'd love to be able to save some API money by switching to Copilot now and then. Hope this gets added

In the meantime, why not use Copilot directly?
The implementation in this pull request is based on https://code.visualstudio.com/api/extension-guides/language-model#choosing-the-appropriate-model, which isn't very different from what Copilot already offers.
My understanding is that this approach aims to extend Visual Studio by using the Language Model AI, which requires Copilot, rather than directly utilizing the AI models.
It doesn't support images, computer use, nor prompt caches.

Thanks for sharing the proposed changes.
Another Question: Is this pull request expecting https://code.visualstudio.com/api/extension-guides/language-model to eventually(?) support tools / function calling?

Even if it gets rate limited quickly, I'd love to be able to save some API money by switching to Copilot now and then. Hope this gets added

In the meantime, why not use Copilot directly?
The implementation in this pull request is based on https://code.visualstudio.com/api/extension-guides/language-model#choosing-the-appropriate-model, which isn't very different from what Copilot already offers.
My understanding is that this approach aims to extend Visual Studio by using the Language Model AI, which requires Copilot, rather than directly utilizing the AI models.
It doesn't support images, computer use, nor prompt caches.

In that case, I misunderstood. Yes, right now I use a combination of copilot and Cline simultaneously. Cline's tool use is just too good.

I use a combination of copilot

Have you tried GitHub Copilot Workspace in Technical Preview?

Its Brainstorm and Plan features are comparable to Cline's Task, but they operate at different levels of abstraction:
Abstraction Layers in GitHub Copilot Workspace:

Brainstorm

Task (GitHub Copilot Workspace's Task is similar to Cline's Task)

Plan

File

Item

References:
GitHub Copilot Workspace integrates with the web, GitHub Codespaces, and Visual Studio Code:

https://github.blog/news-insights/product-news/github-copilot-workspace/
https://githubnext.com/projects/copilot-workspace
https://copilot-workspace.githubnext.com/
https://marketplace.visualstudio.com/items?itemName=GitHub.copilot-workspace
https://github.com/githubnext/copilot-workspace-user-manual/tree/main
https://visualstudiomagazine.com/Articles/2024/10/24/Copilot-Workspace.aspx

Cline's tool use is just too good.

Are you referring to Anthropic's Computer Use and Claude 3.5 Sonnet's Agentic Coding?

save some API money

Compared to Anthropic as an API Provider, if you're using OpenRouter,  there is an additional 5% plus .35 cent per transaction.
Alternatively in Cline, you can switch to OpenRouter's free models, Gemini's free models, or your computer's local models served by LM Studio or Ollama.

Thank you @diopresi for the contribution! Note to reviewers: we need to compare this branch to https://github.com/cline/cline/pull/970 and see how we can go about merging both in + resolve conflicts.


Indicating html template

Hi and thanks for this converter! Good job!
I've made a small modification because I want to indicate the utf8 charset (because the spanish language) and a custom header an footer.
In order to do this I thought that's a good idea to indicate an html template instead of --title and --stylesheet
You decide if you want to pull my changes.

The template looks like this:
<!DOCTYPE html>

    <meta charset="utf-8">
    <title>My title</title>
    <link rel="stylesheet" href="./GitHub2.css">

Own header

    {markdown}

Own footer

The only requirement is the {markdown} outlet to indicate where markdown code will be placed

Would like to have this as well. Default implementation create issue with localization (missing meta data / headers).


finetuning model can't  runing in ollama

What is the issue?
I fine-tuned a sqlcoder model and generated a model file. When I deployed it on Ollama, there was a problem. The model could not run and the size of the Ollama file was incorrect. Has anyone encountered this problem?

OS
Linux
GPU
Nvidia
CPU
Intel
Ollama version
0.1.47

create process looks good

Server logs may help to diagnose the problem.
What are the contents of your Modelfile?

Server logs may help to diagnose the problem.
What are the contents of your Modelfile?

Modelfile is  just the path of Model

@DanielSunHub I think without the server logs this is going to be really hard to diagnose. Here are the troubleshooting docs which explain how to get the log files.
My guess is you fused a gguf file and the process somehow didn't work (and generated an invalid gguf file). You could alternatively try the ADAPTER command which is covered in the importing docs.
Sorry it took so long to get back to this! It looks like it fell through the cracks.


[Bug] Crashing when pondering a fluid pipe.

The game crashes in the middle of pondering of a fluid pipe when the mechanical pipe is about to appear.

OS: Windows 11 build 22621,3737
Java version: Eclipse Adoptium JDK-17.0,11.9
Minecraft version: 1.20.1
Forge version: 47.3.5
Create version: 0.5.1.f
Create: Encased version: 1.6.1
No other mods were loaded

And here's a crash log:
https://mclo.gs/AwA3xRG

I think it's crash from create because Create Encased don't modify fluid pump code

i did test it with vanilla create and there was no issue

and also gear shafts are appearing with the mechanical pump

I don't understand where the crash could come from

+1 to this issue. I replicated it with
Minecraft version: 1.20.1
Forge loader: 47.3.0
Create: 0.5.1f
Create Encased: 1.20.1-1.6.1
The culprit line here:
com.google.common.util.concurrent.UncheckedExecutionException: java.lang.IllegalArgumentException: Cannot get property BooleanProperty{name=down, clazz=class java.lang.Boolean, values=[true, false]} as it does not exist in Block{create:mechanical_pump}

seems to indicate that a property of the mechanical pump is causing the crash.

Fixed in the next update

Will this bugfix be released on CF for version 1.20.1? Or only future versions?

Update pushed on curseforge : https://encased.iglee.fr


Plans for loading external resources and assets.

Required

Equipment is of the Armor type. See also the Armor reference.
Equipment uses the Eyes biped slot. See also the biped slot reference.
Equipment has a world model path.

URI Priorities

The armors Icon Image path.
The armors Object Mod World Model path.
The armors World Model path.

Testing Equipment

Equipment
World Model Male
Flash (SWF)
Texture (DDS)

Armor_Synth_Helmet_Closed
Meshes\Armor\Synth\HelmetHeavyGO.nif
Interface\Armor\Synth\HelmetHeavyGO.swf
Textures\Armor\Synth\HelmetHeavyGO.dds

Armor_Gasmask
Meshes\Armor\GasMask\GasMaskGO.nif
Interface\Armor\GasMask\GasMaskGO.swf
Textures\Armor\GasMask\GasMaskGO.dds

Armor_Raider_Gasmask
Meshes\Armor\Raider01\Gasmask_GO.nif
Interface\Armor\Raider01\Gasmask_GO.swf
Textures\Armor\Raider01\Gasmask_GO.dds

Armor_Raider_GreenHoodGasmask
Meshes\Armor\Raider03\GasmaskGO.nif
Interface\Armor\Raider03\GasmaskGO.swf
Textures\Armor\Raider03\GasmaskGO.dds

ClothesDeaconSunGlasses
Meshes\Clothes\ShortSleeves\GlassesGO.nif
Interface\Clothes\ShortSleeves\GlassesGO.swf
Textures\Clothes\ShortSleeves\GlassesGO.dds

ClothesBlackRimGlasses
Meshes\Clothes\Mobsters\GlassesGO.nif
Interface\Clothes\Mobsters\GlassesGO.swf
Textures\Clothes\Mobsters\GlassesGO.dds

ClothesPoliceGlasses
Meshes\Clothes\PoliceGlasses\GlassesGO.nif
Interface\Clothes\PoliceGlasses\GlassesGO.swf
Textures\Clothes\PoliceGlasses\GlassesGO.dds

ClothesFancyGlasses
Meshes\Clothes\SlinkyDress\GlassesGO.nif
Interface\Clothes\SlinkyDress\GlassesGO.swf
Textures\Clothes\SlinkyDress\GlassesGO.dds

ClothesSunGlasses
Meshes\Clothes\ShortSleeves\GlassesGO.nif
Interface\Clothes\ShortSleeves\GlassesGO.swf
Textures\Clothes\ShortSleeves\GlassesGO.dds

ClothesEyeGlasses
Meshes\Clothes\ShortSleeves\GlassesGO.nif
Interface\Clothes\ShortSleeves\GlassesGO.swf
Textures\Clothes\ShortSleeves\GlassesGO.dds

InstM02LiamsGlasses
Meshes\Clothes\Mobsters\GlassesGO.nif
Interface\Clothes\Mobsters\GlassesGO.swf
Textures\Clothes\Mobsters\GlassesGO.dds

Clothes_Raider_Goggles
Meshes\Armor\Raider02\Goggles_GO.nif
Interface\Armor\Raider02\Goggles_GO.swf
Textures\Armor\Raider02\Goggles_GO.dds

ClothesPiperGoggles
Meshes\Clothes\Piper\PiperGogglesGO.nif
Interface\Clothes\Piper\PiperGogglesGO.swf
Textures\Clothes\Piper\PiperGogglesGO.dds

The functions I needed from F4SE are now available with F4SE version 0.6.10, runtime 1.10.98

Ive added an article on the nexus. https://www.nexusmods.com/fallout4/articles/1286


Display the error when jump en prev/next error

For the moment, jumping to the next or previous error did not display the error we had jumped to. By calling the flymake functions interactively, the error is correctly reported.

As the fix is trivial, I'm taking the liberty of merging it to avoid too large a PR stack.


Fix of search new preview version

Data Plane API - Pull Request

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This PR should be handled only by @mikekistler

Marked as Approved-BreakingChange because this PR is only addressing review comments to #24234.


Enhancement: login page

Is there an existing issue for this?

[X] I have searched the existing issues

What went down?
The current login page is a lot heavier.
The image takes a lot time to render, and its slowing down the site,
which results in bad user experience.
I will fix this issue.

Assign me this .
Record

[X] I agree to follow this project's Code of Conduct
[X] I'm a gssoc-24-ext contributor
[X] I have starred the repository
[X] I want to work on this issue
[X] I check the issue doesn't exist

@RamakrushnaBiswal can you please assign me this issue.


Disconnect and wrong credentials

Tado: v0.4.3
Admin: v6.3.5
node.js: v16.19.0
npm: 8.19.3
Interval: 60 sec
Username and Password are correct.
tado.0 | 2023-01-07 11:53:44.851 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 11:53:44.850 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 11:53:44.850 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 11:48:50.867 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 11:48:50.865 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 11:48:50.864 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 11:37:25.041 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 11:37:25.039 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 11:37:25.039 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 11:36:54.496 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 11:36:54.495 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 10:57:03.826 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 10:57:03.824 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 10:36:43.061 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 10:36:43.059 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 10:36:43.058 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 10:15:55.269 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 10:15:55.269 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo EAI_AGAIN my.tado.com
tado.0 | 2023-01-07 10:15:55.269 | error | Error: getaddrinfo EAI_AGAIN my.tado.com
tado.0 | 2023-01-07 10:12:55.994 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 10:12:55.993 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 09:36:13.459 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 09:36:13.457 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 09:36:13.456 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 09:11:30.822 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 09:11:30.822 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 09:08:42.481 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 09:08:42.480 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 08:50:41.282 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:50:41.281 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 08:45:43.762 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:45:43.762 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 08:44:07.690 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:44:07.690 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:44:07.690 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:40:10.790 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:40:10.788 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:40:10.787 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:26:29.121 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:26:29.120 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:26:29.120 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:24:51.434 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:24:51.432 | error | Error in data refresh at step DoZones: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:24:51.431 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:13:16.004 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 08:13:16.001 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 08:13:16.000 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:50:43.722 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 07:50:43.721 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 07:47:57.576 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 07:47:57.574 | error | Error in data refresh at step DoZones: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:47:57.573 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:35:18.431 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 07:35:18.430 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:35:18.430 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:27:01.286 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 07:27:01.284 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:27:01.283 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:12:06.824 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 07:12:06.823 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:12:06.823 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:11:34.760 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 07:11:34.758 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 07:11:34.757 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:50:08.096 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:50:08.093 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:50:08.093 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:49:37.539 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:49:37.538 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 06:41:25.398 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:41:25.398 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo EAI_AGAIN my.tado.com
tado.0 | 2023-01-07 06:41:25.398 | error | Error: getaddrinfo EAI_AGAIN my.tado.com
tado.0 | 2023-01-07 06:37:36.773 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:37:36.773 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:37:36.773 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:36:02.143 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:36:02.141 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:36:02.141 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:30:00.382 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:30:00.381 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 06:12:55.274 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:12:55.272 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:12:55.271 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 06:04:43.061 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 06:04:43.061 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo EAI_AGAIN my.tado.com
tado.0 | 2023-01-07 06:04:43.061 | error | Error: getaddrinfo EAI_AGAIN my.tado.com
tado.0 | 2023-01-07 05:59:48.176 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 05:59:48.175 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 05:57:07.825 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 05:57:07.825 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 05:53:18.297 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 05:53:18.296 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 05:53:18.296 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 05:48:22.652 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 05:48:22.649 | error | Error in data refresh at step DoZones: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 05:48:22.649 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 05:19:17.990 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 05:19:17.988 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 05:19:17.988 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 05:18:47.585 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 05:18:47.584 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 04:58:32.769 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:58:32.767 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:58:32.766 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:38:17.227 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:38:17.227 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 04:35:36.933 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:35:36.931 | error | Error in data refresh at step DoZones: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:35:36.930 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:18:24.782 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:18:24.782 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 04:13:31.859 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:13:31.856 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:13:31.855 | error | Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:07:30.757 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:07:30.757 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 04:03:44.434 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:03:44.433 | error | Error in data refresh at step login: Error: Login failed! Please verify Username and Password
tado.0 | 2023-01-07 04:02:08.633 | error | Disconnected from Tado cloud service ..., retry in 30 seconds !
tado.0 | 2023-01-07 04:02:08.631 | error | Error in data refresh at step DoMobileDevices: Error: getaddrinfo ENOTFOUND my.tado.com
tado.0 | 2023-01-07 04:02:08.631 | error | Error: getaddrinfo ENOTFOUND my.tado.com

Please check your network!
getaddrinfo ENOTFOUND my.tado.com
means that the adapter 8and so your host) was not able to do the DNS lookup for the given domain.
Nothing that can be done on adapter side.


Issue #5 - Added support for Map type; Updated to latest protobuf ver…

Added support for protobuf Map type;
Upgraded to latest protobuf version

please consolve these Conflicting files and merge it

map support is very important issue

Hey @djotanov and @SuperbDong!
Do you have plans to merge this change and release a new version?
Thank you?


ValueError:  temperature (=0.0) has to be a strictly positive float, otherwise your next token scores will be invalid. If you're looking for greedy decoding strategies, set do_sample=False.

This is my settings.yaml
settings.yaml
llm:
  api_key: EMPT
  api_base: http://<IP_ADDRESS>:9997/v1
  type: openai_chat # or azure_openai_chat
  model: chatglm3-6b # gpt-4-turbo-preview
  model_supports_json: true # recommended if this is available for your model.
  max_tokens: 4096
  # request_timeout: 180.0
  # api_base: https://<instance>.openai.azure.com
  # api_version: 2024-02-15-preview
  # organization: <organization_id>
  # deployment_name: <azure_model_deployment_name>
  # tokens_per_minute: 150_000 # set a leaky bucket throttle
  # requests_per_minute: 10_000 # set a leaky bucket throttle
  # max_retries: 10
  # max_retry_wait: 10.0
  # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
  # concurrent_requests: 25 # the number of parallel inflight requests that may be made

I use xinference api to run python -m graphrag.index --root ./ragtest,
but in  create_base_extracted_entities step have bug in xinference:
ValueError:  `temperature` (=0.0) has to be a strictly positive float, otherwise your next token scores will be invalid. If you're looking for greedy decoding strategies, set `do_sample=False`.
How to solve it?

Hi @CAICCU
If you're running from the source, on #390 and #373 temperature param support was added, so a new build can fix this.

glm does not support 0.0 or 1.0 for its temperature and top_p, which are the default configs, you need to change it.


code splitting

a user has gotten Script too complex. Break into subscripts..
alpha has suggested to move data into database and message says to split the script, but I'd like a better idea of what causes this message first


Add _TZ3000_qeuvnohg Tongou TO-Q-SY1-JZT

Original issue/2005 and pull/2008. I'm not able to push to @zleba 's zleba:tuyaCircuitBreaker as not a maintaner, therefore this PR.
Following @javicalle 's hint here, and once quirk is installed this problems are gone (tested) through DIVISOR and MULTIPLIER in tuya/__init__.py.

Pull Request Test Coverage Report for Build<PHONE_NUMBER>

4 of 4 (100.0%)  changed or added relevant lines in 1 file are covered.
No unchanged relevant lines lost coverage.
Overall coverage increased (+0.008%) to 83.796%

Totals

Change from base Build<PHONE_NUMBER>:
0.008%

Covered Lines:
6847

Relevant Lines:
8171

💛  - Coveralls

Codecov Report
Patch coverage: 100.00% and no project coverage change

Comparison is base (9402bcf) 83.78% compared to head (f8dc2d5) 83.79%.

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Additional details and impacted files
@@           Coverage Diff           @@
##              dev    #2252   +/-   ##
=======================================
  Coverage   83.78%   83.79%
=======================================
  Files         257      257
  Lines        8167     8171    +4
=======================================
+ Hits         6843     6847    +4
  Misses       1324     1324

Impacted Files
Coverage Δ

zhaquirks/tuya/ts011f_plug.py
100.00% <100.00%> (ø)

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@javicalle 🙏  kudos, you folks maintain the project really well, - I was able to learn everything I needed in a matter of hours (...or maybe it's just a productive Sunday).
How often you merge (...looks like to dev), what to RTFM about your release?
Basically, - when to remove my local quirk from /config/custom_zha_quirks

Sorry I'm just a collaborator. I'm not in charge to merge or release versions.
Usually before a new release most of the small PRs are merged, but there is no ETA for the versions.

Cool will keep an eye on this one and will remove based on release notes from upstream.

Hi @arsenyspb, actually the measurement of the power (W), power consumption (kWh) and current (A) works well for me after using the quirk in the PR.
But I haven't managed to get the "Power factor" working (cos th).
If this entry is not required, you can go ahead.
It can be calculated as:
power / (current * voltage)
To my knowledge, there is no chance to know if the connected device is more like a capacitor or inductor...

Changes will likely land in Home Assistant 2023.4.0 (hopefully even during the beta period).
Normally, library bumps only make it into "hotfix" releases if somewhat critical issues are fixed.
(See https://developers.home-assistant.io/ "Upcoming Events" for the HA Core release schedule)

But I haven't managed to get the "Power factor" working (cos th).
If this entry is not required, you can go ahead.
To my knowledge, there is no chance to know if the connected device is more like a capacitor or inductor...

Yeah, ZHA (HA Core) shouldn't create the power factor entity if it's not supported. Just disable it for now.


Don't bundle option

Bundling the files to a single file is most useful for lots of tools, but there are other tools that can parse multiple files without requiring bundling.
Allow a no-bundle flag that will leave multiple files as multiple files. Will not work for the json-refs bundler though as these files fail validation due to: https://www.npmjs.com/package/boats#history

To date most if not all tools require a single yml file.
Maybe I will address this in the future if it is really needed.


[ZEPPELIN-2113] Paragraph border is not highlighted when focused

What is this PR for?
https://github.com/apache/zeppelin/pull/2054 removes paragraph-col css class. As a result paragraph is not highlighted when focused.
This PR apply paragraph-col css class when it is not iframe mode.
What type of PR is it?
Bug Fix
Todos

[x] - apply paragraph-col css class

What is the Jira issue?
http://issues.apache.org/jira/browse/ZEPPELIN-2113
How should this be tested?
Click any paragraph and see if paragraph border is highlighted
Screenshots (if appropriate)
before

after

Questions:

Does the licenses files need update? no
Is there breaking changes for older versions? no
Does this needs documentation? no

@Leemoonsoo Thanks for fix! (It's because of me :sweat_smile: )
Tested and LGTM

@soralee No worries. Thanks for the review.
Merge to master and branch-0.7 if no further discussions.


[Bug]: pagination fields are too smal

Is there an existing issue for this?

[X] I have searched the existing issues

Description

go here: http://<IP_ADDRESS>/applications
open app in edit mode
go to page GitHub
open query GetSixIssues
go to the pagination tab

Under cursor based pagination, these fields on the right are too small - the input is showing trucated

Steps To Reproduce

Public Sample App
No response
Version
cloud

@AmanAgarwal041 what is the component used in the params tab? We should ideally use the same component in the pagination tab as well. https://www.loom.com/share/53b179bee44b4a0194f02703daaf7e68

fixed


Tool does not execute properly when run in succession.

2 machines are required for this test. One acting a SMB server where a test file of 3GB is created on a PCI SSD. From the client start write test followed by read test over a 10Gbps Network interconnect.
Command used :
diskspd.exe -w100 -n -L -W0 -d10 -t8 -o16 -b32k -si32k -S \<IP_ADDRESS>\wshare1\testfile1.dat > a.txt
diskspd.exe -w0 -n -L -W0 -d10 -t8 -o16 -b32k -si32k -S \<IP_ADDRESS>\wshare1\testfile1.dat > b.txt
Copy pasted the commands in a batch file and ran it. For the write test I get line rate of 9.4Gbps.
But for read I get 3Gbps.
The test can be sequential or random and the result is same.
When the same test is run using sqlio2 I don't see the issue and both read and write give line rate.
sqlio2 -s10 -t8 -o16 -b32k -fsequential -T0 -LS -BN \<IP_ADDRESS>\wshare1\testfile1.dat > a.txt
sqlio2 -s10 -t8 -o16 -b32k -fsequential -T100 -LS -BN \<IP_ADDRESS>\wshare1\testfile1.dat > b.txt
Diskspd Tool versions used :

version 2.0.16b (2016/2/22)
version 2.0.15 (2015/01/09)

SQLIO Tool Version :
sqlio v2.15. 64bit_SG

I agree the cmdlines are ~equivalent.
Two minor differences.
First, in this case, is that SQLIO is generating a random write buffer of 20MiB as source for its writes. By default DISKSPD uses a nonzero but highly compressible pattern (see /?). With DISKSPD you would use -Z20M for the equivalent to SQLIO.
Second, SQLIO uses completion routines while DISKSPD defaults to completion ports. I do not expect that to have a negative effect, but see -x.
The more important difference in behavior is that DISKSPD affinitizes its threads to specific cores by default. On a multi-socket system Windows will roughly round robin each successive process launched between sockets. If you got (incredibly, I'll admit) unlucky with both NUMA cost and collision with something else contending for the core, that's about the only thing I can think of.
As a first step, pass -n to disable hard affinity. If that doesn't do it, start looking at CPU distribution in TaskMgr and see if something jumps out. Go ahead and try -x and -Z20M but I'll be surprised if those contribute.
Might also be worth running locally on the server and comparing results again there.

Hi Dan, I have already used the "-n"  in the test.
I tried with "-x" option and on read test machine is hitting an assert with "STATUS_BREAKPOINT_BLOCK_heap_corruption!heap_corruption".
With "-Z20M" the symptom is same as what I described in the original description.

Sorry for the delay in coming back.
Do you get the same behavior locally on the target server vs. the same storage, or does it only happen over SMB?
Re: NUMA, you should eyeball the specific cores being hit in Task Manager/equivalent. While the scale of the effect is way outside what I'd expect NUMA effect to be, like I sad Windows does round-robin processes between NUMA nodes and a single execution of -n (or -ag on 2.0.15) will be random on a multi-KGROUP system.

Closing this off as it doesn't appear to be reproducible and there have been no other reports made. If in the future further information is available the please feel free to comment.


Sends usage statistics on every invocation, without any notice to the user.

Also because there's no flag to turn it off, renamer crashes if run on a server which is not internet connected. If you'll excuse me I'm going to go look for a package that isn't spying on me, since all I want to do is rename ****ing files.

I don't know for sure, but there's a decent chance that this violates the terms of NPM, which read:

You will not disclose information that you do not have the right to disclose, such as confidential information of others.

You will not copy or share any personally identifiable information of any other person without their specific permission.

You will not violate any applicable law.

Hi, please update renamer - you are running an old version. Usage statistics were added temporarily to identify whether it was safe to drop support for node versions older than v4.0.0. The usage stats were removed some time ago. You are 100% there should be notification to the user, my mistake - sorry.

renamer v0.7.0 is the latest.. A full, more customisable rewrite is coming soon.

0.7.0 is not a published version of the library on npm...

Seems there is something wrong with the npm registry.. renamer v0.7.0 is there, but you're right, it's showing an older version as the latest. Will monitor it.

Huh, ok

Can you verify exactly what was being sent?
It looks like:
package version
Node version
OS Type and version
Which renamer options were specified (though not the values specified for them)
the system language
the terminal resolution
the system language
"a random UUID, generated once per OS user and stored"
And of course, this being google analytics, the server IP address
Also, if the command ran longer than 5 seconds, additional reports are/were generated at 5 second intervals.
I wouldn't have minded half so much if you were just sending along the version of node, but the full list of what was being sent seems to go far beyond that.

The majority of values sent are of no use, for example "system language" and "terminal resolution". The most useful stats to me were the following (below), this is what i needed to know before I could upgrade. The OS stat was pertinent as file naming works differently across OS, different path separators etc.

package version
Node version
OS Type and version

GA does not collect or show IP addresses, it only converts an IP into a rough geographical region. No IP addresses are stored, only the Geo info. As you said, no options values were sent - there is no record anywhere of what people actually rename with the tool. Only their node versions etc.
The "every 5 seconds" thing sounds like a retry attempt, no additional data.

npm is still down. In the meantime, this command will install the latest version directly from github (using the "git repo syntax" described here).
npm install -g 75lb/renamer


Make the agent mutate on update as well as create

Description
Make the Zarf Agent mutate objects on update as well as create
Related Issue

Fixes #564
Type of change

[X] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)

Checklist before merging

[ ] Tests have been added/updated as necessary (add the needs-tests label)
[ ] Documentation has been updated as necessary (add the needs-docs label)
[ ] An ADR has been written as necessary (add the needs-adr label) [ 1 2 3 ]
[ ] (Optional) Changes have been linted locally with golangci-lint. (NOTE: We haven't turned on lint checks in the pipeline yet so linting may be hard if it shows a lot of lint errors in places that weren't touched by changes. Thus, linting is optional right now.)

Do we need a new version of the agent? This is a change to the kubernetes Yamil manifest in the in it package

Yeah sorry just saw that, this should be fine as-is, thanks

Thanks! Are you planning on cutting a release with this change? It would help with my DI2-ME work.

Yeah, cutting tonight, will be a patch.


build.gradle from npm has wrong dependencies

If I do 'npm install react-native-material-kit', I get the following on build.gradle:
dependencies {
    compile project(':ReactAndroid')
//    provided 'com.facebook.react:react-native:0.12.+'
    //provided ('com.facebook.react:react-native:0.11.+') {
    //    exclude module: 'support-v4'
    //    exclude module: 'appcompat-v7'
    //}
    //compile 'com.android.support:design:23.0.1'
}

But I see that in the repo it is correct:
dependencies {
    provided 'com.facebook.react:react-native:0.12.+'
}

Thanks

Sorry about the mistake, npm publish my local copy of the file. Will fix it ASAP

just published a  v0.2.1 to fix it

;)


[BUG] Example Jupyter notebook fails to parse and contains errors

Describe the bug
https://github.com/NVIDIA/spark-rapids/blob/branch-22.08/docs/demo/GCP/Mortgage-ETL.ipynb is not loadable in dataproc. Copying over the code also fails with errors due to resource limitation.
Steps/Code to reproduce bug
Attempt to load the notebook into a dataproc cluster. Copying each code cell and execution will fail with errors in example T4 cluster. A100 cluster fails to launch with example configuration.
Additional context
22.08 release

22/08/25 18:17:40 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 39.0 in stage 0.0 (TID 39) (ryanlee-test-780bb-w-4.c.rapids-spark.internal executor 3): java.lang.OutOfMemoryError: Could not allocate native memory: std::bad_alloc: out_of_memory: RMM failure at:/home/jenkins/agent/workspace/jenkins-cudf-release-37-cuda11/cpp/build/_deps/rmm-src/include/rmm/mr/device/arena_memory_resource.hpp:159: Maximum pool size exceeded

Error when running following step in example notebook
rawDf = read_raw_csv(spark, orig_raw_path)
rawDf.write.parquet(output_csv2parquet, mode='overwrite')
rawDf = spark.read.parquet(output_csv2parquet)

acq = extract_acq_columns(rawDf)
perf = extract_perf_columns(rawDf)


i18n error in login page when both email as username and multi attribute login features are enabled

Describe the issue:
When both email as username and multi attribute login features are enabled together, the username label is being displayed as given below in the screenshot.

How to reproduce:

Add below given config to the deployment.toml to enable email as username feature.

[tenant_mgt]
enable_email_domain= true

Enable multi attribute login feature under Login and Registration tab in Console application
Try logging into the console application

Expected behavior:
Proper username label adhering to the multi attribute feature such as Username or Mobile should be displayed.
Environment information (Please complete the following information; remove  any unnecessary fields) :

Product Version: IS 7.0.0

Closing since this is completed.


Primitive deserialization fails on some payload types

We have three different customers, across a variety of platforms, all reporting errors with primtive serialization
Customer 1, .NET 5 - int32/int64 long serialization issue between windows and linux container
Customer 2, Docker - DateTimeOffset serialziation issue
Customer 3, Windows, .NET 4.72 - array serialization of primitive(?) issue
What changed with Hyperion recently that could cause all three of these to emerge at roughly the same time? (enter your findings)
What is the likeliest explanation for all three of these errors? Is it three separate issues or one issue? How would I find that out? (enter your findings)
What are the things I need to test, in order of highest value (most valuable data/lowest expense) in order to get closer to the cause?

Possible cause:
Changes in exception type thrown from the deserialization confused part of Akka because some code is expecting or ignoring certain types of exception errors.
Preliminary observation:
Quite unlikely, exception thrown from a serializer should be bubbled up all the way, at least to the actor level.

Possible cause:
Hyperion failed to deserialize array of struct
Test result:
Array of structs failed with these stack trace that mimics one of the customer reported error:
Microsoft.CSharp.RuntimeBinder.RuntimeBinderException
The best overloaded method match for 'Hyperion.SerializerFactories.ArraySerializerFactory.WriteValues<System.ValueType>(System.ValueType[], System.IO.Stream, System.Type, Hyperion.ValueSerializers.ValueSerializer, Hyperion.SerializerSession)' has some invalid arguments
   at CallSite.Target(Closure , CallSite , ArraySerializerFactory , Object , Stream , Type , ValueSerializer , SerializerSession )
   at System.Dynamic.UpdateDelegates.UpdateAndExecuteVoid6[T0,T1,T2,T3,T4,T5](CallSite site, T0 arg0, T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5)
   at Hyperion.SerializerFactories.ArraySerializerFactory.<>c__DisplayClass4_0.<BuildSerializer>b__1(Stream stream, Object arr, SerializerSession session) in D:\git\akkadotnet\Hyperion\src\Hyperion\SerializerFactories\ArraySerializerFactory.cs:line 71
   at Hyperion.ValueSerializers.ObjectSerializer.WriteValue(Stream stream, Object value, SerializerSession session) in D:\git\akkadotnet\Hyperion\src\Hyperion\ValueSerializers\ObjectSerializer.cs:line 105
   at Hyperion.Serializer.Serialize(Object obj, Stream stream) in D:\git\akkadotnet\Hyperion\src\Hyperion\Serializer.cs:line 162
   at Hyperion.Tests.PrimitivesTest.SerializeAndAssert[T](T[] expected) in D:\git\akkadotnet\Hyperion\src\Hyperion.Tests\PrimitivesTests.cs:line 264
   at Hyperion.Tests.PrimitivesTest.CanSerializeStructArray() in D:\git\akkadotnet\Hyperion\src\Hyperion.Tests\PrimitivesTests.cs:line 234

Possible cause:
Hyperion somehow mangled the Int32 and Int64 wire format between linux and windows
Test result:
Can not reproduce, the only way for a message to fail with a cast exception during remoting is when the message class of the sender and the receiver uses a different type for a field or property.

[ ] Possible cause:
Recent changes in how cross platform serialization support was set up might broke serialization.


Cookie Parameter in Link?

Currently the link to the site - after having agreed to the use of cookies - looks like that: https://speakerinnen.org/de?allow_cookies=true
Which is odd if people want to share the link by copying from the browser.
Check if it is possible to delete.

Thank you @netagonen 11!!!


chore: change the base image to distroless

Type of change:

[ ] Bugfix
[ ] New feature provided
[ ] Improve performance
[ ] Backport patches
[ ] Documentation
[ ] Refactor
[x] Chore
[ ] CI/CD or Tests

What this PR does / why we need it:
Related: #1934

Pre-submission checklist:

[ ] Did you explain what problem does this PR solve? Or what new features have been added?
[ ] Have you added corresponding test cases?
[ ] Have you modified the corresponding document?
[ ] Is this PR backward compatible? If it is not backward compatible, please discuss on the mailing list first

Codecov Report

Merging #2011 (3c0cd18) into master (5177b5f) will not change coverage.
Report is 3 commits behind head on master.
The diff coverage is n/a.

:exclamation: Current head 3c0cd18 differs from pull request most recent head b7184a0. Consider uploading reports for the commit b7184a0 to get more accurate results

@@           Coverage Diff           @@
##           master    #2011   +/-   ##
=======================================
  Coverage   36.81%   36.81%
=======================================
  Files          93       93
  Lines        7863     7863
=======================================
  Hits         2895     2895
  Misses       4580     4580
  Partials      388      388

:mega: We’re building smart automated test selection to slash your CI/CD build times. Learn more

I think this may cause by static image doesn't contains shell, can we try debug image and fix ci failed first ?

CI failed again

Got it, I will try to fix it.


Crash when running tensorflow.python.framework.importer._GatherReturnElements

Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
binary
TensorFlow version
2.10.0
Custom code
Yes
OS platform and distribution
22.04
Mobile device
No response
Python version
3.9
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
nvidia-cudnn-cu11==<IP_ADDRESS>, cudatoolkit=11.8.0
GPU model and memory
No response
Current behavior?
Due to None argument
Standalone code to reproduce the issue
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.framework import importer
try:
  arg_0_0 = "Placeholder:0"
  arg_0_1 = "add:0"
  arg_0 = [arg_0_0,arg_0_1,]
  arg_1 = None
  arg_2 = None
  out = importer._GatherReturnElements(arg_0,arg_1,arg_2,)
except Exception as e:
  print("Error:"+str(e))

### Relevant log output

```shell
2023-08-14 21:23:49.892933: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
Segmentation fault

@dmc1778 ,
I have tested the code with tf-nightly(2.15.0-dev20230813) and it fails with segmentation fault. Attached logs below for reference.
(tf2.13) suryanarayanay@surya-ubuntu20:~$ python 61570_vm.py
2023-08-16 06:32:05.242433: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9498] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-08-16 06:32:05.242588: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-08-16 06:32:05.242678: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-08-16 06:32:05.260269: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-08-16 06:32:06.805199: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
WARNING:tensorflow:From /home/suryanarayanay/miniconda3/envs/tf2.13/lib/python3.11/site-packages/tensorflow/python/ops/distributions/distribution.py:259: ReparameterizationType.__init__ (from tensorflow.python.ops.distributions.distribution) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
WARNING:tensorflow:From /home/suryanarayanay/miniconda3/envs/tf2.13/lib/python3.11/site-packages/tensorflow/python/ops/distributions/bernoulli.py:165: RegisterKL.__init__ (from tensorflow.python.ops.distributions.kullback_leibler) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
2.15.0-dev20230813
Segmentation fault (core dumped)

Since segmentation fault is a vulnerability and it exists in tf-nightly, please report the security related issues through proper channel as mentioned in SECURITY.md.
Thanks!

Please always check with the latest version.
Please never mention security issues in public. It is not the first time this behavior occured.

Please always check with the latest version.
Please never mention security issues in public. It is not the first time this behavior occured.

Segfault exists on 2.13.0

Hi @dmc1778 ,
It seems multiple issues raised on different internal APIs. It is recommended not to use these internal APIs instead you can use high level public APIs like  tf.saved_model.load(), tf.compat.v1.import_graph_def(), or tf.function to work with models or graphs.
The function _GatherReturnElements(requested_return_elements, graph, results) will take the arguments requested_return_elements, graph, results but you are passing different arguments, which are not appropriate. Please check here .
Thanking You


0.7.6

When do you plan on releasing 0.7.6 into Crates? I'd like to use a stable release that has send_xim_spot on Window.
Thank you :)

@NeQuissimus Just open a PR that bumps the version in the Cargo.toml.

@tomaka Well, that's easy enough :D Wasn't sure whether you had some sort of roadmap...


Update to Version 2.1

Hi,
this is more a request than an issue: will you be updating this project to the current 2.1 version?
This would be great, since deleting of images was introduced with this version.
Thanks for your work! :-)

I'd like to, but with recent changes in my life I am no longer working with Docker, and so it is difficult to continue to give this project the time it requires.  Anyone who want to offer to take over this fork (until such time as the SUSE branch starts to have an official container build) please let me know.

No problem.
I could rebuild a Portus/Registry stack with official and current versions of Portus and DockerRegistry.
But thanks a lot for your work and effort. It made my setup very easy, since I got a basic idea for the settings and parameters.


Add RODC Creation Support

Is there any plan to add support to install a server as an RODC?

Commenting here as I am also curious if this will be supported.  Otherwise, I guess using a custom script block in the DSC template will do?

nope, doesn't look like it...

Hi @johlju  - is this still relevant?

@SSvilen If someone want to add this then I'm all for it, happy to review a PR that adds this. 🙂

I need to pre-provision the RODC account and then i need to promote it. Do I pick up a single domain controller to work with for both operations or is there another standard for such operations?

The cmdlet Add-ADDSReadOnlyDomainControllerAccount can only specify the domain name and site name, so you could create the account on any DC and it should replicate, and it must of course have replicated before promoting the RODC. You can also specify the replication source DC if the RODC should replicate from a specific domain controller, so the account must have replicated to that DC before promoting.

Not sure we should have a resource that creates that pre-staged account, should we? It is one-time thing, and nothing that can be enforced, and needs to be done by a domain admin. I think to solve this issue I think we just need to support the parameter ReadOnlyReplica in the resource xADDomainController (for the cmdlet Install-ADDSDomainController).

You are right - you can provision RODC with Install-ADDSDomainController directly. But we could also build the functionality to pre-provision the account, couldn't we? I would still a part of xADDomainController - just a separate set of options.

Creating a pre-staged (computer) account sounds more something xADComputer would do, not xADDomainController. Or another (new) resources.
But what node should create the prestige account? It wouldn’t be the node that will end up as RODC, because then it wouldn’t make since to use a pre-stage account in the first place. The node that should be RODC should be using xADDomainControlle with ReadOnlyReplica and an optional Credential that allows the DC to use the already created pre-staged account.
It’s not really making since to me to create the pre-staged account using a DSC resource. :thinking:

Where is my RODC provisioned with PowerShell DSC?

@jojiklmts sorry, not following you. But if you mean the support for RODC it has been merged and will be included in the release of ActiveDirectoryDsc (which hopefully be soon).


Update LICENSE @S.W.A.T

Url: #bum88.vin
Id:2915360
Tại khoản:GOSSET
NICKNAME:Neilsloane

What?

No idea either, but I reported the user to Github as a spam account.


How to add scheduled task?

How to add scheduled task? Such as auto run a tast at 02:00 AM every day?

Hey @titanseason! Jodd does not have any scheduling component, as this is easy to add with help of some 3rd party lib. There are many cron implementations in java; quartz was quite good one in the time I was using it.

One example how you can add it, if you are using Petite:

create PetiteBean
initialize quartz in constructor, init method or on lazy call
schedule invocation


Wrong statement re Maven in  reposilite/reposilite-site/data/guides/integrations/github.md

In reposilite/reposilite-site/data/guides/integrations/github.md is stated:

Because Maven does not support environment variables, [...]

I'm using the following in my repo(s) on GitLab (if that may be mentioned here on GH (:
maven_settings_ci.xml
<settings>

  ...

  <servers>
    <server>
      <id>gitlab-maven</id>
      <configuration>
        <httpHeaders>
          <property>
            <name>Deploy-Token</name>
            <value>${env.GITLAB_MAVEN_DEPLOY_TOKEN}</value>  <!-- Here it is! -->
          </property>
        </httpHeaders>
      </configuration>
    </server>
  </servers>

  ...

</settings>

gitlab-ci.yml
...

variables:
  MAVEN_ARGS: ... --settings ${CI_PROJECT_DIR}/maven_settings_ci.xml ...

...

I guess something similar can be done in a GH Action as easily.

References:

Use GitLab → Maven packages in the Package Registry → Edit the client configuration

Maven: The Complete Reference → 3.3.2. Property References

env
The env variable exposes environment variables exposed by your operating system or shell. For example, a reference to ${env.PATH} in a Maven POM would be replaced by the ${PATH} environment variable (or %PATH% in Windows).

Configuring Apache Maven

MAVEN_ARGS environment variable:
Starting with Maven 3.9.0, this variable contains arguments passed to Maven before CLI arguments.

Maven CLI Options Reference

| -s,--settings | Alternate path for the user settings file |

Use GitLab →

→ Define a CI/CD variable in the .gitlab-ci.yml file
→ Predefined variables reference

Reposilite version
3.x

By does not support environment variables I've meant that you cannot pass these properties through standard env variables/arg parameters to mvn process - either way, you have to define settings.xml and link it somehow. The proposal from docs is dedicated for GitHub, so it's easier to use maven-settings-action, but indeed, it won't be a good solution for other CI providers. Would you like to add an alternative approach to the guide? :)

Thanks for the quickest reply (after 12 mins!) to an issue on any bug/issue reporting site I used...ever...since decades! For that I owe you a 🍻 – at least – if I'm in Warsaw once again or you come to Vienna once.
I see. Then I misunderstood that.
OTH, I really wouldn't like to have to use hundreds of characters long mvn cmd lines containing e.g.:
... -D server.gitlab-maven.httpHeaders.property.name=Deploy-Token -D server.gitlab-maven.httpHeaders.property.value=${env.GITLAB_MAVEN_DEPLOY_TOKEN ...
Not to mention the dynamic token <server><id> therein and not to mention missing comments (and extensive ones, as in the default 256-lines global settings.xml.
Do you, by chance, know You can't parse [X]HTML with regex.? :)

OTH, I really wouldn't like to have to use hundreds of characters long mvn cmd lines containing e.g.: [...]

Yeah, but if these variables would be defined directly in pom.xml, you could just simply provide their values through env variables that are supported by all CI/CD tools etc. & are passed to the process regardless of the cmd args.

Do you, by chance, know You can't parse [X]HTML with regex.? :)

I didn't know, I wouldn't even think about parsing it with regex. 😅

And yes, I could add pages jenkins.md and gitlab.md to the guide.

Nice!

Especially the settings in the <servers><server> section(s) are in a file other than POMs for a (good) reason: security. settings.xmls are not intended to be stored in SCM repos, such avoiding user name(s), password(s), access token(s) (for servers not intended to be accessible by everyone, also even inside the same organization/company) being readable for every user with read access to the repo.


Signet index stalled with unrecoverable reorg

Seeing logs like this in our signet indexer:
[2024-02-21T00:52:30Z WARN ord::subcommand::server] Updating index: unrecoverable reorg detected
[2024-02-21T00:52:30Z INFO ord::index::updater] Block receiver disconnected: sending on a closed channel
[2024-02-21T00:52:35Z INFO ord::index] unrecoverable reorg detected

Looks like last block it was able to process was 183206, same as what is shown here https://signet.ordinals.com/blocks. Is it recommended to just reindex from block 0?

Deleting the index and starting from scratch will work


Installation requirements addition / Compilation on Raspberry Pi 3 / Raspbian Jessie

Hello,
Im currently trying to compile Atom on an Raspberry / arm architecture.
Its working fine, using the installation instruction, just one more thing:
I noticed there is one more requirement to be added which was not installed previously -
libxkb*** - which does the include "X11/extensions/xkbrules.h"
Its inside keyboard-layout-manager.cc @ 5:37
Perhaps this should become added to the note of requirements.
If I encounter any other problem, I report it here. But for now, all seems to be compiling smoothly.
Kind regards on behalf of an arm user.

Actually doenst seem to work, I fixed some minor hickup, but in the end, Atom starts with the error:
"/usr/share/atom/atom %F" could not be executed (along those lines)
Compilation and installation worked, after adding "arm" to common.js in "electron-packager/common.js"
and following:
sudo mkdir /usr/share/applications
sudo chown pi SAME_FOLDER
and
sudo mkdir /usr/local/share/atom
sudo chown SAME_FOLDER
in addtion it was required to chown:
/usr/local/bin
to "pi" user
As there alltogether where no writing permissions.
Compilation was fine so, just took a while.

Atom is not supported on ARM - some users are experimenting and reporting their results on https://github.com/atom/atom/issues/7822

@jrie we've had some luck with with this fork. Give it a whirl, tested on a couple of ARM devices running Debian: https://github.com/hypersad/atom


Fix #21406: Hide repo information from file view/blame mode

Summary
The repo information such as description, stats and topics are getting displayed in the top-bar when viewing a file. This has been fixed to display the repo information only while navigating the repo and not while viewing or blaming a file from the repo
Before fix
Screenshot from the issue

After the fix

When landing on the repo

When opening a directory from the repo

When opening a file

The repo description, topic and summary has been conditionally hidden from the view

When running blame on a file

This was originally not part of the issue #21406. However the fix seems relevant for the blame view as well.

Supporting integration tests have also been added.

I think it would make more sense to hide it from the directory view as well, at the very least if it's not the repository root. If someone follows a directory link they probably want to primarily see the directory contents and not all the cluttery top info, right? I'd at least guess that's the case.

would be nice to add unit test that repository home page displays description and topics

I'm a bit skeptical about hiding commits/branches/langstats etc submenu.

about hiding commits/branches/langstats etc

For what it's worth, they're not hard to find, repo main link to get to main page again and all the more project-wide stuff is back. While that does require more clicks, that's true, having too much things that aren't really about the scope of the file (and that menu isn't, it's about general project info and not e.g. commits or lang stats related to the file) risk confusing the user in that context. So IMHO I think it's better left away. For what it's worth, GitHub also leaves it away.

Hi @lafriks,

would be nice to add unit test that repository home page displays description and topics

There is an existing integration test covering the home page view. Will it be fine if I add the required assertions to this existing test? (TestViewAsRepoAdmin)

On the second thought yes would be probably ok to hide it also for directory view (except for repo home page of course)

Will check this part. Is it fine to address this in the same PR ?

yes feel free to add assertions to existing test

The change which hides the repo info from the directory view has also been incorporated
Before the fix

When opening a directory from the repo

After the fix

From within a directory

The repo description, topics and summary will not be displayed

Repo homepage

The repo description, topics and summary will be displayed


Upgrading ember-string-ishtmlsafe-polyfill

👋 -- We're updating ember-string-ishtmlsafe-polyfill to be a "native polyfill". Following the pattern provided by ember-assign-polyfill and ember-getowner-polyfill.
Note: This is part of an effort to get all users of the polyfill updated.. workmanw/ember-string-ishtmlsafe-polyfill#5

@workmanw Thanks for the PR 👍


Rename Hepatitis-C to Hepatitis C

BACKEND AND FRONTEND PULL REQUEST
Changes Proposed

Changes the naming of Hepatitis-C to Hepatitis C (without a dash) to match CDC usage.

Additional Information

Review after #8249

Testing

Deployed on dev4, some screenshots below of the rename

LGTM! To avoid having to go back and redo the name of any disease with a dash in the future should we add guidance on copy around said diseases to the adding a disease guide?

@bobbywells52 I could add a small note that reminds us to be consistent with how CDC refers to the disease


Configurable discovery ttl and heartbeat timer

Docker daemon uses kv-store as the host-discovery backend.
Discovery module tracks the liveness of a node through a simple keepalive mechanism.
The keepalive mechanism depends on every node performing heartbeat by registering
itself with the discovery module (via KV-Store Put operation). And for every Put operation,
the discovery module in all other nodes will receive a Watch notification. That keeps the
node alive. Any node that fails to register itself within the TTL timer is considered
dead and removed from the discovery database.
The default timer (heartbeat = 20 seconds & ttl = 60 seconds) works fine for small clusters.
But for large clusters, these default timers are extremely aggressive and that causes
high CPU & most of the processing is spent managing the node discovery and that impacts
normal daemon operation.
Hence we need a way to make the discovery ttl and heartbeat configurable.
As the cluster size grows, the user can change these timers to make sure the daemon scales.
Signed-off-by: Madhu Venugopal<EMAIL_ADDRESS>

@mavenugo can you please add some information as to what this PR is for, and why/where it's needed? Could you also add that information to the commit message, to give reviewers a bit of context while reviewing this. :wink:

@thaJeztah added the required explanation to the PR description. PTAL.

@mavenugo thanks! Can you also use the same description as the commit message, before other maintainers start to spank me because I didn't check :innocent:

@thaJeztah done :)

Design LGTM

LGTM

LGTM

Ahh totally forgot the small docs portion.. :disappointed:
Sorry @thaJeztah

hehe, alright, I'll have a look.
One quick find; looks like the new options also need to be added to the man page; https://github.com/docker/docker/blob/master/man/docker-daemon.8.md#cluster-store-options
The descriptions of the options are a bit hard to read, because it's a very long sentence. I'll see if I can come with a suggestion in a bit (was looking at some other stuff :))


Completely changed the UI look, unable to return to way it was.  Setting are a mess.

Glass colored player headers on chat cards gone, the buttons on spells are the wrong color, and I can't figure out how to return them to the proper color I prefer so its readable.
Skill modifier color is horrible, looks awful on green remaster.  Unable to change anything back to how it was pre most recent update.

Hi, you can either roll back to the earlier version and lock it (which will slowly degrade as the system updates) or you can provide reproduction steps for the issues you are seeing.
I have created threads for each theme, I assume you are talking about this one:
https://github.com/Dorako/pf2e-dorako-ui/issues/274


[UX/UI] Switch button added automatically on no datas line

Because another line is added automattically to the last one in the table , when user choose 'boleen' , 'switch button' an unselected switch button appear on the last line , it shouldnt as it's an empty line

and user 'switch' the button each time a new line appear and we could have something like that :

This feature can actually be useful for power users as this can allow powerful workflows (with trigger formulas for exemple)

Closing this ticket and adding it as context to #366


/authorize

Implement the new response types for the /authorize endpoint

I am starting to work on this.


feat(security): add JWT authorization

Description
Built to work with auth0, but should theoretically work with any provider.
How has this been tested?

[x] Unit tests
[x] Manually

Screenshots
Not really screenshottable...

@abjugard @ericalofstrom please have a look when you get the time. #security


--no-client option does not work when used in nodeJS's generateApi()

I cannot get the --no-client (noClient) flag to work when used in nodeJs.
It works fine when used in the console.
I don't want it to not generate an API class. As it adds a lot of bloat that won't be used.
Is it supposed to be "noClient" when used in nodeJS? I also tried "no-client" but no dice.
Or is another option I am using causing the issue?
Here's my code snippet:
generateApi({
    name: "test-api.ts",
    url: 'http://localhost:5860/api/openapi/json',
    generateResponses: true,
    extractRequestParams: true,
    extractRequestBody: true,
    prettier: { // By default prettier config is load from your project
        printWidth: 120,
        tabWidth: 2,
        trailingComma: "all",
        parser: "typescript",
    },
    defaultResponseType: "void",
    noClient: true,
    typePrefix: 'I',
    hooks: {
        onParseSchema: (originalSchema, parsedSchema) => {
            // Convert type string to Date when needed
            if (originalSchema.type === 'string' && ['date-time', 'date'].indexOf(originalSchema.format) > -1) {
                parsedSchema.content = 'Date';
            }
            return parsedSchema;
        }
    }
})
    .then(({ files, configuration }) => {
        files.forEach(({ content, name }) => {

            //replace additional I prefix added when it has already been added
            content = content.replace(/III/g, "II");

            fs.writeFile(folderPath + "/" + name, content, function (err, result) {
                if (err) console.log('error', err);
            });
        });
    })
    .catch(e => console.error(e))

My bad, had a look at the source code and the flag is called "generateClient" when used in nodeJs not "noClient" as I incorrectly assumed.


Unhashable type : 'dict' error is returned when running the examples

🔍 Before submitting the issue

[X] I have searched among the existing issues

🐞 Description of the bug
The examples are running fine, but matplotlib is not able to plot the results from the GetNumpyCurve method.
The issue is that the GetNumpyCurve returns a dictionary instead of a numpy array. I was able to run one of the examples once, after rebooting my computer. However, after trying it again, it raised the same error.
The same commands run fine inside Rocky's Python shell.
My Python version is 3.11.5
✅ Expected behavior
The expected behavior would be the matplotlib plot to show up.
📝 Steps to reproduce
In my case, I just cloned the repository, installed pyRocky, and executed the examples.
📃 Relevant log output
This is the output and traceback for the particle_wall_interaction_with_motion.py example.
Download successful. File path:
C:\Users<redacted>\AppData\Local\Temp\pyrocky_etw0hy1l\Lshape_tube.stl
Traceback (most recent call last):
File "C:<redacted>\pyrocky\examples\basic_examples\particle_wall_interaction_with_motion.py", line 104, in
ax.plot(times, mass_flow_in, "b", label="Mass Flow In")
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\axes_axes.py", line 1721, in plot
lines = [*self._get_lines(self, *args, data=data, **kwargs)]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\axes_base.py", line 303, in call
yield from self._plot_args(
^^^^^^^^^^^^^^^^
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\axes_base.py", line 494, in _plot_args
axes.xaxis.update_units(x)
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\axis.py", line 1712, in update_units
default = self.converter.default_units(data, self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\category.py", line 105, in default_units
axis.set_units(UnitData(data))
^^^^^^^^^^^^^^
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\category.py", line 181, in init
self.update(data)
File "C:\Users<redacted>.ansys_python_venvs\Rocky\Lib\site-packages\matplotlib\category.py", line 214, in update
for val in OrderedDict.fromkeys(data):
^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: unhashable type: 'dict'

Thanks for the report @viniciusdaroz
Which version of Rocky you are using?
Which version of matplotlib you are using?
I tested with the following toolchain, and it's working:
matplotlib                3.8.3
numpy                     1.26.4


Reproduce external dependency issue test

Attempts to reproduce the error seen here https://github.com/bazel-ios/rules_ios/pull/317#issuecomment-932613886

@tinder-maxwellelliott thank you for taking the time out of your day to set this up. I think I've got a pretty good solution for this and will send over a PR here shortly

@tinder-maxwellelliott I've added a PR to fix this - I'd expect it to get you up and running  on virtual_frameworks. As a follow, I'd likely want another case to handle frameworks with imported swift-modules in patched.bzl in the IDE.  Please LMK if you've got any other issues with it! Thanks again for taking the time out of your day to strengthen coverage.
I noticed that case is using apple_framework_packaging in a way to propagate imports, is that how ya'll are handling tests?

I think it's probably going to be easier to just merge this with the other PR as it was a dependency of it ( https://github.com/bazel-ios/rules_ios/pull/324 ) and is better to have it all running on the CI.

@tinder-maxwellelliott rules_ios currently does supports putting them not at the root so it should be fine 👍
I had a chance to work on this a bit more today, when investigating a tangential problem. It turns out that the issue you mentioned is tied to the fact that rules_ios's Xcode project generator has hangups with external dependencies, and apple.virtualize_frameworks is exastrubating this.
To workaround this, place a symlink to external at the root of the directory:
# cd /path/to/rules_ios
ln -s $(bazel info execution_root)/../../external external

The legitimate longer term fix for this might end up being a bit different, but perhaps we could consider adding code in the installer to do the workaround.

Would the correct command be ln -s "$(bazel info execution_root)/../../external" "$BAZEL_WORKSPACE_ROOT/bazel-$(basename "$SRCROOT")/external"?
The issue is that we store our external BUILD file rules under external at the true workspace root