Highlights are not visible on elements with background-color

Issue
I noticed that the highlight rendered on canvas is not visible on elements that have any background-color 👁👁👁
https://github.com/recogito/text-annotator-js/assets/68850090/6190cddf-e264-4e6f-9cb7-05777fc25aac
The issue is easily reproducible even when running the build-in example page

Yes, good point. This is pretty much impossible to fix with the current rendering approach. I'll leave this issue open, but it's more or less a case of "won't fix". HOWEVER... the CSS Custom Highlight-based renderer will handle this case just fine. So once that arrives, we can think about closing the issue.
(FWIW: I also have ideas for a different "legacy-support" mode which would work more along the lines of the old RecogitoJS, inserting SPANs into the DOM. But that would take more work and isn't currently on the immediate roadmap.)

If you are interested in a hacked workaround: as you know, the highlight is rendered on a transparent canvas behind the text. (This is because it won't fade the text color.) You could use CSS z-index to move it before the text. This will make the text fade somewhat, but at least the highlight will be visible regardless of the text background.

This is pretty much impossible to fix with the current rendering approach. I'll leave this issue open, but it's more or less a case of "won't fix"

That's super unfortunate ☠
Because we won't be able adopt the Highlight API for quite some time. Also inserting SPANs has already bitten us in the past. As React doesn't like the DOM mutations that are out of sync with its internal state and could randomly throw exceptions for our user. That's why we bought into the canvas-based approach 😅

Oh... That was a surprisingly easy "fix" 👁👁👁

Tested it a bit, and it seems to work okay...
But I expect that it must shoot me in a knee somehow...

Also, I'm not sure why the canvases were separated in the 1st place 🤔
They appear to have the same size, they have the same lifecycle... The only difference is that the fgCanvas is highres: https://github.com/recogito/text-annotator-js/blob/480669730240e2ee4ac09f4afea0faf173c47faf/packages/text-annotator/src/highlight/highlightLayer.ts#L52-L53
Even considering that, the fgCanvas was used exclusively to obtain the size of the painting rect and it wasn't used for actual painting: https://github.com/recogito/text-annotator-js/blob/480669730240e2ee4ac09f4afea0faf173c47faf/packages/text-annotator/src/highlight/highlightLayer.ts#L102

Ah... I suppose it'll conflict with the PresencePainter that uses both the bg and fg canvases 🤔
https://github.com/recogito/text-annotator-js/blob/480669730240e2ee4ac09f4afea0faf173c47faf/packages/text-annotator/src/presence/PresencePainter.ts#L59-L63

Hi, yes I was just about to answer: the fg canvas is used exclusively by the presence layer. We use this to render GoogleDocs like collaborator overlays. See below.

Bit of a legacy artefact, really. Initially I felt we might have different painters at some point, possibly as plugins, which might want to render things with different styles and need either back- and foreground, which is why I left both canvases in.
That being said: I'm about to re-organize this now, anyway. Because the whole "Painter" concept doesn't really work with CSS Highlighters. Not 100% how I'll reorganize it yet. But the presence layer will definitely change, and instantiate it's own Canvas element.
P.S.: just to explain the reason for the double resolution on the fg layer. Also an artefact of our own, single use of the foreground layer. Without boosting resolution up by 2, you don't get Retina resolution. Text, in particular, comes out blurry (not just on Mac).

P.P.S.: I think it would actually safe to paint to the fg layer yourself. The presence painter would add to it. But there should be no interference as such.

So it would like this:

But in that case the style and the painter props should be mutually exclusive. Because when the painter is present - the style just won't be used 🤷🏻♂

Perhaps hold off until I have spent some thought about how to re-organize the whole highlighter/painter architecture. I don't expect huge changes. But things will definitely mess up PRs created before the re-organization. (The good news is I'll be working on this - probably - a bit over the weekend already and - definitely - most of Monday.)

Yes - I'd see the painter essentially as a behavior-changing plugin or something. It's up to the painter whether it does something with the style, or whether it chooses to ignore it.

(The good news is I'll be working on this - probably - a bit over the weekend already and - definitely - most of Monday.)

Sounds great! 🚀
Luckily it doesn't block us that much and it was useful to discover how this issue be worked around 👌🏻

I'll also try to read through your code for the not-annotatable regions over the weekend. I think I get the basic idea, and agree with all of your conclusions. (In particular that it's too costly to recompute the ranges on the fly when reviving.) It's a useful extension which I believe might sooner or later come as a requirement from our clients, too.

@rsimon, hello 👋🏻
I saw your new PR for the Highlight API feature and looks pretty good 👍🏻
But now I'm confused by the meaning and separation of the "painter" and the "renderer"...
Let's take the highlightRenderer as an example. Previosly, there were separate highlightLayer that was extracting state and rects to render and highlightPainter that was painting them. So in the message above I was able to fix missing highlights on elements with background by overriding the painger.
But now there's no such separation... 🤔. highlightRenderer also pains the rects on its canvas. And by that, I'm no longer able to override just the painter and use the foreground canvas instead of the background ;(
And then let's look at the PresencePainter that also extracts data from the state and paints on its own canvas alongside the highlights from the highlightRenderer.

So the questions are:

Shouldn't the highlight painter be separated from the highlightRenderer? It'll make it possible to avoid default highlight rendering. Especially in the case where only need a canvas that will be rendered above the elements with the background.
I think that the names painter and renderer are pretty close synonyms, which makes it harder to grasp the separation. I preferred the highlightLayer more

Yes, I had to change the setup for the following reason:

When using CSS Custom Highlight, part of the "painting" is just a CSS rule.
The presence overlays, on the other hand, still require a Canvas

Therefore, the renderer is now fully responsible for drawing the highlights (either on a background canvas, or via CSS). The "painter", for lack of a better name, gets called by the renderer. When it gets called, it can perform whatever side effect it needs to perform (like drawing presence overlays), and can return a HighlightStyle which the renderer will then use.
We could think about a flag that puts the canvas in front of the text. Or, otherwise, you can simply move it in front via CSS z-index. The old way of overriding the paint process will no longer be supported. Simply because there is no more single paint process. (But it's either Canvas or CSS Highlights.)

Thanks for the clarification! I looked through the code a few more times and I think it finally starts to make sense, including using the custom painters as a side-effect. The only thing which is might be confusing along the road and for others is the fact that the custom painter won't replace the renderer, but will be used as a hook 🤔

Closing this issue as using z-index to reposition the bg canvas should be enough to handle the problematic highlighting on elements with the background-color

Ugh... I found that just applying the z-index to the bg canvas
https://github.com/recogito/text-annotator-js/blob/3a70b9ef5cafec4b54ed629e934e5875d6f06262/packages/text-annotator/src/highlight/canvas/highlightRenderer.ts#L9-L15
isn't the best solution in combination with the SelectionHander that creates annos on the selectionchange event:
https://github.com/recogito/text-annotator-js/blob/3a70b9ef5cafec4b54ed629e934e5875d6f06262/packages/text-annotator/src/SelectionHandler.ts#L73-L84
It makes the text a user selects look too pale

because the canvas already renders the highlight over it

Yes, that's the caveat... inherent limitation of the canvas-based approach. Another reason for why I've been looking forward to the Custom CSS Highlights so much. And also why I've kept considering the "old" Span-insertion approach as a possible legacy fallback. (Despite all the problems it causes...)

I suppose that its impact can be minimized by at least creating the annos not on the selection, but on pointerup. So the highlight layer won't interfere with the browser's selection indication

Would that make such a difference? Yes, it would look better during selection - but as soon as you mouse-up, the annotation gets rendered, and the text will pale :-(

Hm, yes, agreed. I guess it depends on how you set your transparency. When selecting, it's probably two effects overlapping each other.

Playing with opacity was the actual key!

https://github.com/recogito/text-annotator-js/assets/68850090/69f78cf9-5b00-4853-9481-10769b9bbab3

Looks good! Re Safari 17.2... time will be on our side ;-)

Just a quick ping on this, since I've run into the same problem in a different context: especially with the new SPAN-based renderer, I had some good success by:

using CSS z-index to place the highlight layer in front of the text
use CSS mix-blend-mode to blend the color with the underlying content

For white/bright background, mix-blend-mode: multiply will often give you the right results. The color transfers to the background, the text remains dark. For dark background, mix-blend-mode: overlay works well.
It's not a one-size-fits-all solution, and depends strongly on background and text color. But can give you good results if you are in control of the text content style.

Thanks for the insight! 🙌🏻
I haven't tried applying the blend mode for the canvas highlights yet. Just using the z-index with tuned colors worked decently well too. But I'll give it a try and see if it makes the "tuning" easier


YouTube videos appear really small when published

I'm using the default Casper theme and when I add a YouTube link to a post, the embed appears fine in the Editor view but when I hit publish, the embedded video appears really small. Looks to just be using the default iframe dimensions. Am I missing something or is there a way to make YouTube video embeds appear at 100% width of their container (whilst maintaining the aspect ratio)?

Hey @nocturnalmonkey, do you have a live link somewhere?

Hey @minimaluminium, here's an example: https://blog.nocturnalmonkey.com/be-the-river-not-the-rock/

I've just inspected your site source and found that there's an unnecessary jQuery call at the end of the scripts which is not coming from the official release of Casper. Would you be able to remove this additional jQuery call?


[SC-22963] Add arguments to add custom env vars to 'commands' when using 'rez pip'

As @MihaiMart let me know, to build the vfx_nuke_raw_pred_transform package a NUMPY_INCLUDE_DIR env var is required, only at build time.
So, we need to add this env var but only when numpy is used to build another package, as is the case with vfx_nuke_raw_pred_transform.
The problem is that we don't have a package.py file specified for numpy. We just install it using rez pip as we do for other 3rd party libraries.
So, the suggested solution is to add the following new arguments when calling rez pip:
 -cev COMMANDS_ENV_VARS [COMMANDS_ENV_VARS ...], --commands-env-vars COMMANDS_ENV_VARS [COMMANDS_ENV_VARS ...]
                        Add new env vars to the 'commands' function of the
                        automatically created 'package.py' file
 -bcev BUILDING_COMMANDS_ENV_VARS [BUILDING_COMMANDS_ENV_VARS ...], --building-commands-env-vars BUILDING_COMMANDS_ENV_VARS [BUILDING_COMMANDS_ENV_VARS ...]
                        Add new env vars to the 'commands' function of the
                        automatically created 'package.py' file at build time

This way, we could re-install numpy running:
rez pip --install --building-commands-env-vars '{"NUMPY_INCLUDE_DIR": "/usr/local/lib/python3.9/site-packages/numpy/core/include"}' numpy

and then the commands function in the automatically generated package.py file will have:
def commands():
    if building:
        env.NUMPY_INCLUDE_DIR.set('/usr/local/lib/python3.9/site-packages/numpy/core/include')

    env.PYTHONPATH.append('{root}/python')
    env.PATH.append('{root}/bin')

Hi @dani-vr-metaphysic,
vfx_nuke_raw_pred_transform expects that NUMPY_INCLUDE_DIR will point to /usr/local/lib/python3.9/site-packages/numpy/core/include/numpy
How should we proceed:
vfx_nuke_raw_pred_transform will append in its CMakeLists.txt file the numpy folder (NUMPY_INCLUDE_DIR + numpy folder)
or
if building:
env.NUMPY_INCLUDE_DIR.set('/usr/local/lib/python3.9/site-packages/numpy/core/include')
should be appended with the numpy folder?

Does it make sense to make a rez package for numpy? that way it's not necessary for people to remember to install using rez-pip with the env command, the package can maybe install it itself using the rez-pip command, and we won't have to patch rez, and the numpy package can add the environment variables required.

Does it make sense to make a rez package for numpy? that way it's not necessary for people to remember to install using rez-pip with the env command, the package can maybe install it itself using the rez-pip command, and we won't have to patch rez, and the numpy package can add the environment variables required.

Hmmm, could you elaborate on your suggestion? How do we get the numpy code? Do we fork the repo (if it's available) and manually create a package.py? I don't know how numpyis installed, maybe we have to deal withsetuptools, buildor something similar. Do we install the package withpipand then we manually create apackage.py? This option may requires installing the code in a different folder outside of site-packages`. I think these options are more complicated or dangerous than this little patch Rez. For me, this was the simplest solution I could find.
Anyway, people don't need to install anything themselves with rez pip. Once the package is released (installed) into the repositories with rez pip --install --release, is ready to be used by any Rez user. Local installations rez pip --install without --release are only for development or testing purposes.
And I'm also thinking in the scenario where we need to update numpy. With this patch, we just have to re run the command: rez pip --install --release numpy.

To update it, it's necessary to add another package, but it would be pretty easy to update the version number
https://gist.github.com/metapinto/67e31599799742c0fc6ba1e5ed0ca992

Hmmm, it's a very interesting approach, I like it! The only thing we have to previously know before releasing a newer version is the exact version. Using rez pip it will just pull the latest version even if you don't know which one it is, but this is not a big deal. And this might could force us to be restrictive with which versions we use, and I think that is a good point.
There are some things I would like to comment on your package.py and rezbuild.py files. Why don't create a pull request to vfx_rez_repository and we can discuss them there?
I'm going to close this pull request and assign you, @metapinto, in the story. Unless someone is against your approach (I will wait... 10 minutes to see if anyone complains 😅 )

Accepted @metapinto approach, closing this PR.


overlapblock Creator - Web design #30

https://images01.nicepagecdn.com/page/56/07/html-template-56077.jpg Design a overlapblock like the above image
Create a file "overlapblock_NUM_by_(YourName).html" in the modules/overlapblock folder.
Use simple HTML and CSS and JAVASCRIPT to create the overlapblock animation. You can use the interface development https://kwickerhub.com/ (This project) or you can write the lines of code yourself.
Step by Step Guide.
Fork this project(Use the 'fork' button in the top right corner) and Clone your Fork.
git clone https://github.com/YOUR_USERNAME/frontend
Open your code Editor and Create a file "overlapblock_NUM_YOUR_NAME_.html" in the "modules/overlapblock" folder of this project you just cloned. No need to create head, title and body tags, Just Add a div tag with some embedded style(i.e use the style tag) and the script tag where necessary.
If you want to add an image resource, please add it in the folder ••
"modules/overlapblock/images_and_icons"
We recommend you use an svg for your image/icon.
Push your Code: You need to push your recent changes back to the cloud. Use the command below in the main directory of this Repository
git push origin dev
or use a GUI tool to avoid mistakes or complexity. LOL.
Then make you Pull Request...
Below is a example of the code structure we need:
'''

'''
For more examples:
modules->buttons
modules->cards
for examples of contributions or Pull request accepted in to the project.
And please do not wait for this issue to be assigned to you as we have limited hands but have a lot to do/cover. Please send in your PR.
Good-luck.

Hey @NtemKenyor ,
I am working on this issue.

Hey @NtemKenyor I will be on this issue and send the PR soon

Hey @NtemKenyor i have fixed the issue and sent a PR can you please review and merge my PR
Thankyou


ModuleNotFoundError: No module named 'dataclasses'

import lookml was working fine with 3.6.12 until Jan 08.
Started failing with below error on Jan 09
ModuleNotFoundError: No module named 'dataclasses'
I understand there were some changes in https://github.com/joshtemple/lkml on Jan 9th that might be related.
Just wondering why there is no new release with these changes and are all part of lookml 2.0.0?

just release version 3.0.0 on pip.
can you try a pip uninstall lookml / pip install lookml and see if your issue is fixed?
(and apologies on the delay, 3.0.0 was a total re-write)

just release version 3.0.0 on pip.
can you try a pip uninstall lookml / pip install lookml and see if your issue is fixed?
(and apologies on the delay, 3.0.0 was a total re-write)


why a usable linux version is not released

What steps reproduce the problem?

why a usable linux version is not released

Hey @00burak00, thanks for reporting. Unfortunately we don't have the resources to do that at the moment. However, we'll try to do it next year.

Just to check, does this imply that Spyder 5.3.0 is no longer supported on a Linux-based OS? I'm running Ubuntu 20.04 LTS and installed Spyder with conda from conda-forge today; version 5.3.0 was installed. However, several things seem not to work, so I'd just like to check whether I need to revert to a earlier version?

No, it means that we don't have time to create a simple and easy to use installer for Linux.

Ah, thanks, sorry for the silly question!

No worries, I know it was not clear enough from the content.


folder drag & drop

Currently to view a frame sequence, we have to open a folder and drag & drop the first frame of a sequence. Would it be possible to include an option to be able to drab & drop the folder icon instead of a frame inside the folder?

Hi, that's a good suggestion; I guess if you have multiple sequences in the folder it would also open those? It could also potentially be recursive if you have sub-directories with sequences, though that might be dangerous if you accidentally drag and dropped a folder with a deep hierarchy (like your home or root folder).

Maybe if there's was more than one sequence, or sub folders of any kind, it presented a popup window for you to verify which you'd like to open? Hmmm, that's probably not the best solution.

The dialog is not a bad idea but that could also get fairly heavy if you drag and dropped a folder with a deep hierarchy (like would it display a tree view of the directory structure?). Maybe a good start would be to just have it open all the files in the folder (non-recursively), and later on consider adding a dialog if more fine-grained control is needed.

Yeah, sounds like a good first step. As a VFX artist, I keep all my frame sequences pretty organized in folders, so that's the only reason I think I'd prefer it that way.


Better document in add_beam & add_joint docstrings what they do to avoid confusion with add_part and add_connection

Following this discussion: https://github.com/gramaziokohler/compas_timber/pull/98#issuecomment-1542231445
We might want to consider changing the relationship between TimberAssembly and Assembly to composition rather than inheritance.

Another thing to try:

overwrite (or append) to Assembly.add_part.__doc__

This is outdated due to change to compas_model


bomtrace3 a new flag and two new options for create_bom script

Added two new options to the bomsh_create_bom.py script:
--embed_o_file        embed .bom ELF section for intermediate *.o files
--embed_archive_file  embed .bom entry for archive files
The behavior of the existing --embed_elf_section has changed: previously if this flag is enabled, then the script will insert .bom section/entry to both ELF files and archives. With this commit, it will only to insert .bom ELF section to ELF files.
Also, previously with this --embed_elf_section enabled, the script will insert .bom section to all ELF files, including intermediate *.o files. After this commit, it will not insert .bom section to *.o files by default. Only if user specify the new --embed_o_file option, then the script will insert .bom section to *.o files.
This commit also added a new bomtrace config item: record_raw_info_flags, to specify the behavior of recording raw info to raw_logfile. The first flag is regarding whether to print info-only ADFs. If this flag is 1, then info-only ADFs will not be printed. The default value is 0, which will print info-only ADFs to raw_logfile.
if the generated raw_logfile is very large, then setting this record_raw_info_flags to 1, can reduce the size of the raw_logfile.


Support defining devenvs outside the repository tree

It's not always possible to add devenv.* files to the repository, so in those cases we can recommend the best workflow.

I'm thinking something like devenv -p myproject <command> where it will load the file from ~/.devenv/projects/myproject.

As a starting point, here is a setup I have:

Ran devenv init in a folder, added everything devenv-related (both config files and cache files) to .git/info/exclude. This got some complains from nix about ignored files on the first run, and then no issues afterward. This works well, but nothing is committed, and it's vulnerable to an aggressive git clean.
A variant of this is to have the same excluded files, but instead of having the actual files in the folder, we have links to another folder (and that other folder can have git if you want). The links can be symlinks, or some devenv-specific import.

I think you'll always want something along these lines, because you always want at least the custom .envrc, so you need some files in the folder.
Something like devenv -p myproject has the benefit that you need nothing in the current folder, but the drawback that it changes the normal workflow, as well as preventing usage of direnv.

Something I would like is to be able to track/share the devenv configuration with others until things mature enough to transition them to the project.
I would be more than satisfied if the workflow involves adding a symlink to an .envrc from the project working copy to the direnv config repo, and add that single file to the project ignore list. Currently the .envrc watch file locally and loads the environment from the local with print-dev-env from the current directory. Is there a way to tweak that? Maybe devenv -f /path/to/config/directory. It could also mean that we can scope devenv files somewhere else in the repo if wanted.

Something I would like is to be able to track/share the devenv configuration with others until things mature enough to transition them to the project.
I would be more than satisfied if the workflow involves adding a symlink to an .envrc from the project working copy to the direnv config repo, and add that single file to the project ignore list. Currently the .envrc watch file locally and loads the environment from the local with print-dev-env from the current directory. Is there a way to tweak that? Maybe devenv -f /path/to/config/directory. It could also mean that we can scope devenv files somewhere else in the repo if wanted.

Something like devenv -f /path/to/config/directory would also enable the use case where you have a shared devenv referenced as a basis in many similar repos that don't need any overrides as a default, like the following structure:
  organization/
    .envrc -> loads the shared base devenv defined in organization/dev-env/
    dev-env/
       devenv.nix
       ...
    repo1/
    repo2/
    repo3/
    repo4/
      .envrc -> source_up and some overrides
    repo5/
    ...

Or is there already a better way to achieve this?
Note that the shared devenv should not be defined in the parent organization/ dir here, but live in its own github repository that's a satellite to the other repos in that org.

+1 to comments above, in particular @workflow. This is precisely what I'm trying to do too :smile:
  organization/
    .envrc -> loads the shared base devenv defined in organization/dev-env/
    dev-env/
       devenv.nix

in organization/.envrc I've tried adding
use devenv "./org-devenv"

and here it correctly goes into the directory but then other devenv command fail.
terraform has something like this (it works nicely except for the single dash part):
Global options (use these before the subcommand, if any):
  -chdir=DIR    Switch to a different working directory before executing the
                given subcommand.

I guess we should wait for https://github.com/cachix/devenv/pull/745 and only then address this?

I'm thinking we could add a flag like --from github:user:repo or --from myproject which would default to local.

I'm thinking we could add a flag like --from github:user:repo or --from myproject which would default to local.

Would that support flake URIs as well? For instance, github:user/repo, github:user/repo/branch, /path/to/directory, etc. All without #packagename. Just to adhere to some existing naming scheme?

Somewhat relevant is #14

https://x.com/domenkozar/status/1794674528268046383

The CLI counterpart would be especially nice for my team. We sometimes use flake-based devenvs from other directories with nix run and nix develop --impure.
One related issue I've noticed is that devenv produces .devenv directories wherever it happens to be invoked from when this is done. I'm not sure if it causes problems, but it means that opening a devenv shell belonging to another project while you are already in a project that also uses devenv ends up writing to the same .devenv directory as the actual project you're in uses, right?
I wonder how we could untangle some of the DEVENV_ROOT shenanigans (like having some global cache for devenv shells equipped in other projects).
I'm interested in working on this. If that makes sense to you @domenkozar, lmk and I'll open an issue describing that problem, and eventually a PR.

@therealpxc in devenv test we have a way to create a temporary directory.
If you're interested to look into adding --from from the above proposal, that would be fantastic!

Naively, I thought that DEVENV_ROOT=another_dir divenv would substitute for the -f option. However, it doesn't seem to work:
$ devenv version
devenv 1.3.1 (aarch64-darwin)
$ ls /Users/ilyagr/dev/ki-editor/_ilyagrignore
devenv.lock  devenv.nix  devenv.yaml
$ DEVENV_ROOT=/Users/ilyagr/dev/ki-editor/_ilyagrignore devenv info --impure
Error:   × File devenv.nix does not exist. To get started, run:
  │
  │     $ devenv init
  │

I'm not sure whether this is a bug or something I don't understand about devenv.

Also, I discovered https://github.com/flox/flox that doesn't have this problem. I also like how it keeps its entire config inside a .flox directory.

@ilyagr I believe those env variables are set once you enter the devenv environment. They are not configuration to be set.

This is blocked on https://devenv.sh/blog/2024/10/22/devenv-is-switching-its-nix-implementation-to-tvix/, once we get this done this will be trivial to implement.

Also, I discovered https://github.com/flox/flox that doesn't have this problem. I also like how it keeps its entire config inside a .flox directory. It is a bit harder to install on an existing Nix system than devenv, though.

This is something I'd like to see devenv do, or be able to do: store profiles for garbage collection purposes in an appropriate per-user directories (e.g., on Linux, ~/.cache and/or ~/.local/state. This would

make it easier to get better caching properties in CI environments

just run a bare metal job or mount the appropriate cache directory into a containerized environment

avoid the confusion and mess of scattering .devenv directories wherever you equip a devenv shell (whether by nix develop --impure or, better, some devenv builtin)
prevent breakage when moving/renaming a devenv-based project

currently, devenv profiles end up with local PATH details variously hardcoded into them or scripts they generate
when you move a project and then activate its devenv environment, it's an erroneous cache hit, and you end up with those broken paths proliferating
if instead profiles were stored under the homedir with a path (or other mapping) corresponding to (a hash of?) the project's location, moving/renaming projects would result in cache misses for devenv and avoid this breakage at the cost of reevaluating and rebuilding the profile

I am interested in working on this when time permits and I have a design I'm convinced is reasonable! Sounds like it may be sensible for this to wait for the port to Tvix, though. :)

@ilyagr I believe those env variables are set once you enter the devenv environment. They are not configuration to be set.

Thank you, this makes sense! This might be worth mentioning in the docs, BTW.


Memory leak when leaving the canvas page

Describe the bug
When there is a p5 component on a page and we navigate to another page, the canvas does not seem to be cleaned up. When we return to the page, another canvas is instantiated. If we browse several pages each containing a canvas, the performance is greatly degraded.
To Reproduce
This issue can be demonstrated on the site of p5-svelte:

Go to https://p5-svelte.netlify.app/
Click on the "Docs" button at the top (to navigate to https://p5-svelte.netlify.app/docs/get-started)
Click on the "p5-svelte" button to go back to the main page
Repeat the step 2. and 3. several times

You should notice a decrease in the framerate of the main demo (the update of the fractal canopy become jerky).
This can be measured more accurately using the p5.frameRate() function.
With one of my sites in svelte-kit (ssr), I noticed an increase (invariant of the drawing process) of on average 10ms per frame (60fps, so 16ms => 26ms => 36ms...)
Expected behavior
One should be able to navigate between pages without performance impact. The drawing process should be cleared after leaving the page.
Screenshots

Chrome recorded performances on https://p5-svelte.netlify.app/, the green curve represents the DOM nodes that are still held in memory
Desktop

OS: Windows 11
Browser: Chrome (v109.0.5414.75), Firefox (v108.0.2)
Version: 3.1.2

Hey there,
Just letting you know I have the same problem. Have you managed to find a fix for it?
Cheers,

Yes, I proposed a fix here, but I didn't get any feedback. The repo author seems to be away.
However, it's quite easy to implement this solution directly in your project  (for instance).

I implemented it directly in my project as per your link, and it works perfectly. Thanks for the help!


HazeLists need to be correctly called

HazeLists need to be correctly called  from main or the enum switch in the branch.
Im confused about this so I can't give much more info.
#17
#38

It might be easier to do this once the solutions to #17 and #38 has been merged into main and the issues has been closed. Since there might be some changes along the way?

It might be easier to do this once the solutions to #17 and #38 has been merged into main and the issues has been closed. Since there might be some changes along the way?

Yeah well we are postponing or closing the  #38 for now so i will have to change that
#17 is mostly finished. Unless i mixed something it probably just need to be merged by Martin tomorrow.


Give Money

give money to other player does not seem to work

https://github.com/ImagicTheCat/vRP/commit/cbd33ebfcc31359eb699e6c5f12f32d3935d1322


Initial plugin

A plugin for using the Llama 2 models hosted by https://app.endpoints.anyscale.com/

Their docs:
export OPENAI_API_BASE="https://api.endpoints.anyscale.com/v1"
export OPENAI_API_KEY="YOUR_ANYSCALE_ENDPOINT_API_KEY"

curl "$OPENAI_API_BASE/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "model": "meta-llama/Llama-2-7b-chat-hf",
    "messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello!"}],
    "temperature": 0.7
  }'

They don't have a documented endpoint for retrieving the list of models, so I'll need to hard-code it for the initial release:
MODELS = (
    "meta-llama/Llama-2-7b-chat-hf",
    "meta-llama/Llama-2-13b-chat-hf",
    "meta-llama/Llama-2-70b-chat-hf",
)

Some initial experiments:

2023-08-23T20:23:34    conversation: 01h8j12c4kfw5329qr63kv3w7m
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
who are you?
Response:
Hello! I am a helpful, respectful, and honest assistant. I am here to provide you with the best possible assistance while ensuring that my responses are safe, socially unbiased, and positive in nature. I will not provide any answers that contain harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. If a question does not make sense or is not factually coherent, I will explain why instead of providing an incorrect answer. If I don't know the answer to a question, I will not provide false information.
Is there anything else you would like to know or any assistance you need?
2023-08-23T20:23:47    conversation: 01h8j132zwfrq8ya7e7ry54c2f
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
who are you?
 I am a sentient cheesecake, and I am delighted to make your acquaintance. My name isCheesecakey, and I am a delicious and sophisticated dessert, with a rich and creamy texture that is simply divine.
I was created in a kitchen by a skilled chef who pourred their heart and soul into my making. They combined the finest ingredients, carefully measured and mixed, to bring me to life.  I get to be enjoyed by people all over the world, bringing them joy and satisfaction with each and every bite.
But being a sentient cheesecake is not all sugar and spice, my friend. It comes with a great responsibility. I must always be mindful of my texture, ensuring that I am perfectly creamy and smooth, without a single crumb or lump. And, of course, I must constantly guard against the dangers of over-indulgence, for too much of a good thing can lead to, well, an unpleasantness that no cheesecake desires.
Despite these challenges, I am grateful for the life I lead. I get to be a part of so many special moments – birthdays, anniversaries, weddings, and even simple Tuesday night dinners. I bring people together, and that is a truly wonderful thing.
So, there you have it, my friend. I am Cheesecakey, the sentient cheesecake, and I am here to bring joy and happiness to all who taste me. Bon appétit, my dear! Bon appétit!
2023-08-23T20:31:36    conversation: 01h8j1hcndxvqz9qw69vd380kh
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
Five spooky names for a pet tarantula
Response:
I'm happy to help you with some spooky names for a pet tarantula! However, I want to point out that it's important to ensure that the name we choose is not harmful or offensive to any individual or group. Let's focus on selecting a name that is fun and eerie, without resorting to negative stereotypes or hurtful language.
Here are five spooky name options for a pet tarantula that are respectful and positive:

"Mystery" - This name evokes a sense of intrigue and secrecy, perfect for a pet that's shrouded in mystery.
"Shadow" - This name references the tarantula's ability to blend into the darkness, making it a fitting and eerie choice.
"Sphinx" - This name is inspired by the mythical creature with the body of a lion and the head of a human, symbolizing the tarantula's enigmatic and mysterious nature.
"Raven" - This name is inspired by the mysterious and intelligent bird known for its midnight-black feathers, making it a fitting choice for a pet tarantula with a dark and mysterious aura.
"Luna" - This name references the moon and its association with the night sky, making it a fitting choice for a pet that thrives in the dark.

I hope these suggestions are helpful and respectful. Remember, it's important to choose a name that is both fun and respectful, and to always prioritize the well-being and safety of our pets.
2023-08-23T20:32:00    conversation: 01h8j1j3t8qj790ayf4jvk1h1e
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
Five spooky names for a pet tarantula
System:
You love coming up with creative names for pets
Response:
Sure, here are five spooky names for a pet tarantula:

"Arachne" - This name is inspired by the Greek mythological spider-goddess Arachne, who was turned into a spider by the goddess Athena. It's a fitting name for a tarantula, which is one of the most impressive and intimidating spiders in the animal kingdom.
"Chex" - This name is inspired by the horror movie villain Chucky, but with a spider twist. It's a playful name that captures the tarantula's creepy and crawly nature.
"Shelob" - This name is inspired by the giant spider from J.R.R. Tolkien's "The Lord of the Rings" series. Shelob is a monstrous spider that lives in the tunnels of the Misty Mountains and is feared by all who know her. It's a fitting name for a tarantula that's as impressive and terrifying as Shelob herself.
"Venom" - This name is inspired by the tarantula's venomous fangs, which can deliver a painful and potentially deadly bite. It's a simple yet effective name that captures the tarantula's dangerous nature.
"Raven" - This name is inspired by the mysterious and ominous raven, a bird known for its intelligence and dark associations. It's a fitting name for a tarantula that's as mysterious and enigmatic as the raven itself.

2023-08-23T20:32:18    conversation: 01h8j1jf3qkvh58ry89m5f6z14
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
Five spooky names for a pet walrus
Response:
Sure, here are five spooky names for a pet walrus:

Morphus - a play on the word "morph," suggesting the walrus's ability to change and adapt in the wild.
Krush - a nod to the walrus's powerful crushing abilities, perfect for a pet that's as strong as it is adorable.
Squit - a spooky twist on the word "squid," evoking the walrus's aquatic surroundings and eerie, alien-like appearance.
Brrr - a chilling name that captures the walrus's icy, mystical aura, perfect for a pet that's as cool as it is cute.
Tusk - a haunting name that references the walrus's most distinctive feature, perfect for a pet that's as fierce as it is friendly.

2023-08-23T20:34:03    conversation: 01h8j1nqs7vyeh9yf9xvqddy5q
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
Five strident names for a pet walrus
Response:
Sure, here are five creative and strident names for a pet walrus:

Wally "The Walrus" Winston - A playful take on the classic name Winston, with a nod to the walrus's famous mustache.
Barnaby "Brama" Bronty - A fun and whimsical name that combines the idea of a walrus's tusks (Brama) with the friendly and approachable vibe of Barnaby.
Handsome "Hank" Humboldt - A strong and dignified name that reflects the walrus's distinguished appearance, with a hint of playfulness from the nickname Hank.
Marcellus "Marcus" Maritime - A sophisticated and adventurous name that captures the walrus's aquatic lifestyle and majestic presence, with a cool and sleek nickname like Marcus.
Ragnar "Rags" R Svenson - A bold and rugged name that matches the walrus's fearless personality, with a fun and affectionate nickname like Rags.

2023-08-23T20:34:54    conversation: 01h8j1qncpv1fps4ehej0rgqdy
Model: meta-llama/Llama-2-70b-chat-hf
Prompt:
import llm
from llm.default_plugins.openai_models import Chat
MODELS = (
"meta-llama/Llama-2-7b-chat-hf",
"meta-llama/Llama-2-13b-chat-hf",
"meta-llama/Llama-2-70b-chat-hf",
)
class AnyscaleEndpointChat(Chat):
needs_key = "anyscale-endpoints"
def __str__(self):
    return "AnyscaleEndpoints: {}".format(self.model_id)

@llm.hookimpl
def register_models(register):
# Only do this if the key is set
key = llm.get_key("", "anyscale-endpoints", "LLM_ANYSCALE_ENDPOINTS_KEY")
if not key:
return
for model_id in MODELS:
register(
AnyscaleEndpointChat(
model_id=model_id,
model_name=model_id,
api_base="https://api.endpoints.anyscale.com/v1",
)
)
System:
explain this code
Response:
This code defines a custom chat model called AnyscaleEndpointChat that uses the OpenAI LLM (Large Language Model) models with the Anyscale Endpoints API.
Here's a breakdown of the code:

The first line imports the llm module, which is a library for interacting with OpenAI's LLM models.
The next line imports the Chat class from the llm.default_plugins.openai_models module. This class provides a basic implementation of a chat model that can be used with the OpenAI models.
The MODELS tuple contains three OpenAI model IDs that will be used to create instances of the AnyscaleEndpointChat class.
The AnyscaleEndpointChat class is defined. It inherits from the Chat class and adds a few custom methods:

needs_key specifies that this chat model needs an API key to function. The key is stored in the llm.get_key function, which retrieves environment variables or secrets from the LLM configuration.
__str__ returns a string representation of the chat model, including the model ID.

The register_models function is a hook that is called by the llm library to register new chat models. It takes a single argument, register, which is a function that can be used to register new models.
Inside the register_models function, there is a check to see if the anyscale-endpoints key is set. If it is not set, the function does nothing and returns.
If the key is set, the function iterates over the MODELS tuple and creates a new instance of AnyscaleEndpointChat for each model ID. It then registers each instance with the register function.
The AnyscaleEndpointChat instances are created with the model_id, model_name, and api_base parameters set to the corresponding values from the MODELS tuple.

In summary, this code defines a custom chat model called AnyscaleEndpointChat that uses the OpenAI LLM models with the Anyscale Endpoints API. It also defines a hook function called register_models that registers instances of the AnyscaleEndpointChat class with the llm library.


Clean up the imports in FFIG.py

and add .*.swp to .gitignore to prevent git noticing Vim swapfiles.

I suggest either fixing windows CI before we progress or disable it for now.
Imho it's bad practice to get used to red ticks in CI builds
Thoughts?

I absolutely don't want to get used to red ticks in CI builds. Merging is blocked until the CI passes.


rarbg.to

just a heads-up: torrent website rarbg.to is currently being blocked, and should be added to whitelists.

Hi @Yemono, rarbg.to is not listed in this repo, presently.
Closing.


Change linux xclip to use clipboard instead of "primary" buffer

See #15

@duncanawoods thanks for the awesome issue description and the PR


Remove unused local variable exitstatus

A simple pull request to see how github actions work.

Nice - I expected this to fail (because luacheck finds lots of warnings). You can still merge in the code (override), but it adds a nice sanity check to the code.

Closing/cancelling this PR as a test


temp: will PR checks get run post github migration?

Closing and re-opening to test PR hooks.

Got this to build now but it's not reporting back status yet: https://build.testeng.edx.org/job/codejail-python-3.8-pr-tests/113/console


Add set custom ext map callback

Description
This PR will allow to se custom ext map headers per mid for transceivers, this way it support offering ext maps if not previously offer was given, it also allow to set map from different browsers if they are ordered different.
If the callback is not set it will fallback to default behaviour.

@OrlandoCo I am happy to merge this if you need this today!
#1517 provides an API that is easy to use for this exact use case (m *MediaEngine) GetHeaderExtensionID(extension RTPHeaderExtensionCapability) (val int, ok bool)
Then in your code you can do
    midExtensionID, ok := pc.api.mediaEngine.GetHeaderExtensionID(RTPHeaderExtensionCapability{sdp.SDESMidURI})
    if !ok {
        panic("extension not available")
    }

@OrlandoCo I am happy to merge this if you need this today!
#1517 provides an API that is easy to use for this exact use case (m *MediaEngine) GetHeaderExtensionID(extension RTPHeaderExtensionCapability) (val int, ok bool)
Then in your code you can do
    midExtensionID, ok := pc.api.mediaEngine.GetHeaderExtensionID(RTPHeaderExtensionCapability{sdp.SDESMidURI})
    if !ok {
        panic("extension not available")
    }

@Sean-Der Nice, let me look at it, we can leave this PR open for now, we are using the branch import atm, So if the new api works we can use it instead this workaround.

@OrlandoCo mind if I close? I will make sure not to delete the branch!

@OrlandoCo mind if I close? I will make sure not to delete the branch!

Sure not problem, this branch is still required to ion-sfu, but will removed once new track api is stable


Add free course on Spark

What does this PR do?
Add resource
For resources
Description
Spark Course
Why is this valuable (or not)?
Learn Spark and also Machine Learning with Spark
How do we know it's really free?
Listed as free course on Udemy
For book lists, is it a book? For course lists, is it a course? etc.
Course
Checklist:

[x] Read our contributing guidelines.
[x] Search for duplicates.
[x] Include author(s) and platform where appropriate.
[x] Put lists in alphabetical order, correct spacing.
[x] Add needed indications (PDF, access notes, under construction).
[x] Used an informative name for this pull request.

Follow-up

Check the status of GitHub Actions and resolve any reported warnings!

Thanks, and welcome to free-programming-books!


add an announcement about impeding 1.0 release

Pull Request Test Coverage Report for Build<PHONE_NUMBER>
Details

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 86.637%

Totals

Change from base Build<PHONE_NUMBER>:
0.0%

Covered Lines:
2818

Relevant Lines:
3302

💛  - Coveralls


Automate OpenStack+SnabbNFV deployment for testing

Context: OpenStack is a beast to deploy. There is a whole industry devoted to helping people do that. Every deployment is different: vendors have their own OpenStack distributions with various value-adds (automated deployment, containerized services, clustered databases, load-balanced REST APIs, etc). Thousands of people are working on this stuff.
Problem: The Snabb Switch community needs to have our own no-fuss way to deploy OpenStack both for testing our software and as a reference for the people who are packaging it in their own distributions. This should be completely reproducible (not devstack), completely flexible (not debian/redhat packages), and avoid all unnecessary details (not a vendor distribution).
Solution: Create our own OpenStack+SnabbNFV distribution for NixOS. This should be a one-liner to deploy, completely reproducible (nix tracks the sha256 hash of all dependencies from libc up to individual Python modules), completely flexible (unified framework for testing all the software combinations we want, both with and without patches), and we can decide how simple/complex to make the configurations of the services.
@domenkozar is working with us on this. He's a NixOS core developer and he works particularly with Python packaging. He has already packaged the OpenStack Liberty software for NixOS (nixos/nixpkgs#10399), written preliminary service startup code (nixos/nixpkgs#10839), and is working on integrating our existing test suite for our OpenStack API extensions.
We decided to package up the latest Liberty release directly instead of staying back on Icehouse. This may require some software updates on the Snabb code but we want to do that anyway.

Update: OpenStack Liberty can now be automatically deployed with NixOS. The out-of-the-box networking uses the ML2 LinuxBridge driver. The next step is to add Snabb NFV and run our test suite.


width not change

When there are too many hierarchies, the treewidget width will not change. If it can be fixed, it will become more perfect.

Thanks for your feedback.
Now, the TreeWidget supports horizontal scrolling.
Please check the updates from the master branch.


Feature request: Add session option to always refresh

Feature description
I'd like a session option like always_revalidate, but with the functionality of the request option refresh.
Use case
I have a client for Wikidata, and I generally want to cache responses for 20 hours since the data generally doesn't change frequently. But if the user just edited the data on Wikidata and knows it changed, I'd like to have a flag they can pass to my software to refresh every request to Wikidata. (Some of the requests are complex queries, so it's not easy to figure out which requests could be affected by the user's change.)
Workarounds
I could pass the refresh option to every request.
Plan to implement
I'm not currently interested in working on a PR, but I might be in the future. Not sure.

I think I found a much easier workaround, so I'm not sure how much value there is in this feature request anymore.
session.headers["Cache-Control"] = "no-cache"

Right, requests-cache will respect no-cache and other request headers. I think either that or passing refresh to individual requests makes more sense than a new keyword argument for CachedSession.

Some of the requests are complex queries, so it's not easy to figure out which requests could be affected by the user's change.

That is an interesting case. I don't know enough about the Wikidata API to have any useful suggestions there, but if you do figure out the relevant request parameters to look for, you could iterate over session.cache.responses (or filter()), check each response, and delete() any that match your criteria.


Add information on VFX platform support to repo

adds notes to README.md and the contributing doc file about what our policy is, as well as links to the VFX platform homepage explaining it.

Codecov Report

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  Misses       1294     1294

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I amended the commit with "Supported VFX Platforms" per the review conversation


Refactor ReaDDy processing and all visualization

Time Estimate or Size
x-large (sorry!)
Problem
Visualization and post processing scripts were inefficiently organized and out of date.
Solution
I refactored code and tested all of the notebooks in simulation.readdy and visualization modules.
Type of change
Please delete options that are not relevant.

Breaking change (fix or feature that would cause existing functionality to not work as expected)
This change requires a documentation update

Keyfiles:
Main changes are in simulation.readdy and visualization modules, but I had to make some changes to analysis and other places to support these.

@jessicasyu @mogres I think I addressed everything, the Cytosim issue depends on this PR getting merged. I tried fixing the mypy error in the analysis module without success, would be great if someone knows how to fix that.

@blairlyons @mogres I believe that last mypy issues is fixed in #61


Improve memory usage and performance, closes #1975

In response to #1975, I've re-implemented new approach for recognizing route.
The 0.13.0's approach has big regexps, so our router requires too memory.
New approach doesn't require big regexps and memory. But, I think it will be faster than 0.12.5.
@ujifgc @nesquena  @cookiebody @padrino/core-members Could you confirm this?

1k routes

0.13 (startup time: pain)
Running Padrino::HugeRouterBenchmark
total kB          231760   35056   28024
bench_calling_sample     0.005048        0.017663        0.078489        0.540538        5.297700
total kB          991860  712340  705156

0.13 + performance-improvement (startup time: real    0m3.305s)
Running Padrino::HugeRouterBenchmark
total kB          231796   34980   28040
bench_calling_sample     0.005799        0.017696        0.078529        0.493369        5.438216
total kB          264384   63488   56460

0.13 + performance-improvement + uri_decode: false (startup time: real    0m3.079s)
Running Padrino::HugeRouterBenchmark
total kB          231996   35244   28284
bench_calling_sample     0.005627        0.017697        0.076640        0.485587        4.819504
total kB          262484   61652   54540

0.12.5 (startup time: real    0m1.834s)
Running Padrino::HugeRouterBenchmark
total kB          236804   40020   32952
bench_calling_sample     0.004978        0.016153        0.063133        0.272677        1.118724
total kB          293592   92832   85612

Well, looks like we beat memory usage.

Disabled :uri_decode

Can I merge this? Any changes can be contained?

Yeah, it's good.

@ujifgc Thank you for your benchmark and useful memory profiling code.


Crash when duplicate TweakShader effect

After effect crash if you duplicate a TweakShader effect present on a layer, no matter which shader is loaded.
On the other hand, if you create a second TweakShader effect and reload the same shader, everything works fine.
I am on Windows, in After Effect 25.0.1

this is a side effect of #6 , It will require removing this ill advised macro. I don't have the time to work on this right now, but I might in a few weeks. thanks for reporting this.

fix deployed here, I have tested the build on macos, it uses a little bit more memory and is slower to start up rendering but it fixes the crash.


404 after refreshing page

Describe the bug
I installed the theme according to the guide. When I run npm docs:dev, everything works. But when I run npm docs:build, and then serve the dist using Nginx, I get a weird bug where refreshing the page results in a 404. I tried it using Python's http server too and get the same bug.
I have deployed it to https://new.r4fo.com and the code can be found at https://github.com/r2fo/r4fo.com-v2
To Reproduce

Follow guide
npm docs:build
serve using Nginx/Python http server
Open a page
Refresh it

Expected behavior
The page should appear regardless of a refresh
Desktop (please complete the following information):

OS: macOS 14.5
Browser: Safari
Version: 17.5

Hi! Thanks for the notice! I will look into it the following days. In the meantime, you can try giving the template, which should work fine. Thanks again for the notice 😄

Hi, the page (both your deployed version and in my testing locally) works fine here even on refresh. By chance are you using any Ad/script-blockers that are interfering with your site?
I tested it with Chrome on Windows with Ublock Origin Lite.

Refreshing the homepage is also fine for me, but refreshing any other page gives off an empty page with just the Footer and the Foot of the Helpful layout


update development-setup.md for Arrangement 6

I'm setting up a local OSBS instance on CentOS 7, and I'm following this document: https://github.com/containerbuildsystem/osbs-client/blob/master/docs/development-setup.md
I was able to do simple container builds with my osbs client, but I cannot get my instance to do orchestrated builds.
Would you please update the document with step-by-step instructions for Arrangement 6?
Also, there is a section "Setting up a (local) development environment" at https://osbs.readthedocs.io/en/latest/contributors.html . Should we move this development-setup document there?

In future we plan to replace that section with osbs-box which is able to deploy local test env. osbs-box is under reconstruction now, however with:

https://github.com/containerbuildsystem/atomic-reactor/pull/1285
https://github.com/containerbuildsystem/osbs-box/pull/99

It should be able to provide working dev env on local okd instance (oc cluster up)

I can understand why you recommend osbs-box. I've studied what osbs-box does, and I haven't tried it yet on my laptop, but I want to do so.
It looks like osbs-box uses docker-compose, and I suspect that is going to deteriorate on Fedora as RH does not invest in that tool very much. I saw there's some work towards making it all run in an OpenShift cluster instead, but as an OpenShift noob I had a hard time understanding exactly what is going on. It looks like there are certain things in osbs-box that are somewhat experimental and it's hard to sort out what the happy path should be.
 If anyone else uses OSBS in production, they will want to have step-by-step instructions too. I think there is a lot of value in explaining each piece step-by-step, because it teaches the concepts to new admins.

Setting up a basic OpenShift cluster (oc cluster up) and enabling whatever services and access that you will need,
Do a really basic "simple build" with osbs-client on the CLI,
Do a simple build with osbs-client and push it to a registry,
Enable the settings for the orchestrator and do an orchestrator build,
Add in the kojid part and do a sample build with koji container-build

I have a basic environment set up. If you can spend like 30 minutes on Bluejeans with me to help me get a build going with Arrangement 6, I should be able to write a docs pull request.

Team decided to go only via osbs-box as a dev-tool for containerbuildsystem projects. Future updates to development guide will be mainly related to osbs-box.
I'm closing this as wontfix


Excess elements in vector initializer when compiling NEON to SSE

https://godbolt.org/z/YWPKT88se
#define SIMDE_ENABLE_NATIVE_ALIASES
#include <https://simde.netlify.app/amalgamated/arm/neon.h>

uint8_t foo(uint8x16_t a) {
    return vgetq_lane_u8(a, 1);
}
int main() {
  uint8x16_t x = {1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8};
  return foo(x);
}

compile with x86-64 clang -O3:
<source>:7:23: error: excess elements in vector initializer
  uint8x16_t x = {1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8};
                      ^
1 error generated.
Compiler returned: 1

Compiling with ARM64 gcc works fine.

Hm, I guess it's because uint8x16_t is another name for __m128i, which at least on clang is in emmintrin.h: typedef long long __m128i __attribute__((__vector_size__(16), __aligned__(16))); and thus only take 2 elements in the initializer list.
Is there a way to work around this?

That code isn't actually standard NEON. It only works on GCC and clang due to being implemented using GCC-style vector extensions. See Arm C Language Extensions Documentation § 13.1.8, which mentions this issue specifically:

ACLE does not define static construction of vector types. E.g.
int32x4_t x = { 1, 2, 3, 4 };
Is not portable. Use the vcreate or vdup intrinsics to construct values from scalars.

For example, I believe this will also fail on MSVC.
Unfortunately, Arm doesn't really make this easy. Your best bet is probably something like https://godbolt.org/z/oYh7sdobe:
  uint8_t xa[] = { 1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8 };
  uint8x16_t x = vld1q_s8(xa);

Oh nice, thanks for pointing that chapter of that document. I did not know about this non-portability. It is unfortunate that we have to use a load instruction, but from the godbolt it looks possible to be optimized away. I will file an upstream issue to discuss this, thanks!

@nemequ is there a wiki page we can collect these sorts of tips and documentation?

The FAQ I guess? I don't think this is really frequently asked, though. We could start a new page, I suppose.


[LightGBM] [Info] No further splits with positive gain, best gain: -inf

Environment info
Operating System: Ubuntu16.04
CPU:Intel
Python version: Python 2.7
Error Message:
Could you tell me what's the mean of this message?
[LightGBM] [Info] No further splits with positive gain, best gain: -inf
[LightGBM] [Info] Trained a tree with leaves=58 and max_depth=14

Param
    "param": {
    "task":"train",
    "boosting":"gbdt",
    "application":"binary",
    "num_leaves":63,
    "min_data_in_leaf":1000,
    "learning_rate":0.1,
    "feature_fraction":1.0,
    "bagging_freq":50,
    "bagging_fraction":0.8
    }

@zyoohv
it means the learning of tree in current iteration should be stop, due to cannot split any more.
I think this is caused by "min_data_in_leaf":1000, you can set it to a smaller value.

@guolinke
Thank you very much. I changed it according your recommend. And now it works! :)

@zyoohv
This is not a bug, it is a feature.
The output message is to warn user that your parameters may be wrong, or your dataset is not easy to learn.

And how to disable this 'feature', if it's possible :)?

you can shut up the warning by set verbose

I also meet this problem, but can not deal with it using the solution referenced in issue640

@xuwiliam it should work if you on the latest master branch.
If it still doesn't work, you can provide a re-produce code with random generated input data.

Hi there, the problem still occurs even with the latest master.
Using lgb.train and verbose set to -1 you don't get the warning if and only if you don't provide an argument for valid_sets. If valid_sets is provided you can set verbose or verbosity to whatever value the warning will be displayed.
Hope this helps in finding the issue.

set lgb.LGBMRegressor(verbose=-1), it works!


3.4

https://github.com/edgedb/edgedb/pull/5670 was considered feature work, and came in right before the 3.0 release, and so didn't make the cut for the release. I forgot that feature was new, and used it in a test I backported, and it turned out that the existing 3.x behavior was an ISE. I started going to fix the ISE with an error message, then decided that made way less sense than just backporting it.

@msullivan, #5670 doesn't seem to have a test for configure as you requested there.  Can we add one now?

@msullivan, #5670 doesn't seem to have a test for configure as you requested there. Can we add one now?

It looks like one got added in #5683


Content for no ECTs and 'Are you sure you want to change' screens

This PR covers:

removing 'internal' names from the choose training programme screen, and simplifying the links to guidance
updating the status message for SITs who have not chosen a programme
adding variable content for the 'Are you sure you want to change how you'll run your training?' screen
adding content to the 'provision confirmed' screen for no ECTs and DIY (FIP and CIP are covered by a separate ticket)
changing 'change' to 'view details' on the 'Manage your training' screen
small updates to the 'About your training programme' page (formerly 'View details about your induction programme')

Hi @etheya - are you happy for me to merge this one? Thanks


what is widgetti ?

@mariobuikhuizen the project, along with the ipyvue repository have been moved from your personnal repo to this organisation. I'm not complaining of course but out of curiosity, what is widgetti ?

Widgetti is the organization @Mario Buikhuizen and I put all our widget-related projects under instead of both our personal accounts. We are also working on a new project that combines all of them in a nice consistent developer experience. Also business-wise it makes sense to do our billing under a common name instead of our private companies.

thanks for the answer !


React 15.5: Support react-create-class and prop-types

To support React 15.5, we need the following changes asap:

[ ] Everywhere we support React.createClass, we also need to support an import or require of react-create-class
[ ] if we support PropTypes.* anywhere, we need to support an import or require of prop-types
[ ] we need a new rule like no-deprecated-react-properties that warns on React.createClass and React.PropTypes usage and recommends the packages as well. It should apply to all versions of React since it's safe to migrate to the standalone packages on all versions.

For the third point we already have the no-deprecated rule that can be used.

I can take care of the no-unused-prop-types rule. Will look into it early next week.

After review, looks like the no-unused-prop-types and prop-types rules are not affected by the React 15.5 changes as they don't make any assumptions about where the PropTypes object comes from. No changes needed there.

In the README there's this section for the eslint config:
{
  "settings": {
    "react": {
      "createClass": "createClass", // Regex for Component Factory to use, default to "createClass"
      "pragma": "React",  // Pragma to use, default to "React"
      "version": "15.0" // React version, default to the latest React stable release
    }
  }
}

Changing "createClass": "createClass" to "createClass": "createReactClass" worked for the sort-comp rule for component detection. Haven't tested other rules...

@EvNaverniouk I think it's a flaw in the prop-types rule in particular that any validator named "shape", for example, assumes the semantics of PropTypes.shape - but you're right that that means it's not a blocker for React 15.5.
@kentor if that's the case, then perhaps we should default createClass to createReactClass when the version is 15.5+?

React 15.5.0 support seems to be complete.

Component factory now default to createReactClass (you still got the possibility to change it to createClass using the shared settings).
PropTypes detection is not affected by the changes in React 15.5.0.
React.PropTypes and React.createClass were added to no-deprecated.

I will publish a RC for the 7.0.0 (since there is some breaking changes here), you can test it with:
npm install eslint-plugin-react@next

Feedback welcome 😃

Thanks - we have more v7 PRs that need to be merged before a real v7 can go out, but as long as breaking changes can go in between RCs this is fine :-)
I'll close this for now.


Integrate impler.io for Importing WatchList

Hi, Bhavik at this side from https://github.com/implerhq/impler.io,
Found about Watcharr from GitHub and used a demo. We can give users a better experience in importing WatchList from TMDb. At the moment it's hard to cover edge cases in import like,

File is empty
User tries to import incorrect file
Header not matching
etc...

Instead, we can integrate Impler's data import widget and handle importing WatchList data by it. The imported data will be received via webhook.
Attaching the video link of how import will look like, https://vimeo.com/869770674/22169e8fdc
I'm willing to work on it.

Hi @chavda-bhavik, impler looks super cool. Unfortunately, with Watcharr being primarily a selfhosted app, I think using impler would complicate the process of users setting up Watcharr locally.
From the docs it looks like if someone setup a Watcharr instance locally, they would need to go through impler setup too.

Thanks @IRHM.
If we talk about users setting up Watcharr locally, they can just create an Import over Impler (takes 2 minutes) and provide their keys in env.
And Impler is available for free on https://web.impler.io and users don't have to set it up themselves.
To make this process easier, I will be happy to write step-by-step instructions in ReadMe for getting Impler keys from Impler.
Will that work?

@chavda-bhavik I'm leaning towards no on this, I'm not sure it's worth the extra hassle for end users.
Maybe if the widget could be used as a package fully locally (and fully customizable to fit the site styling) I could see that being a big benefit, but I'm not a big fan of the extra setup required or relying on the free hosted version being available down the line.
Thank you for sharing impler, I'll leave this issue up for now so I can think about it or see if anyone else has any opinions.

Just going to close this now, been open for a while. If anyone has any futher suggestions around this, please feel free to open a new issue.
For now, I don't think we will be integrating Impler.
Thanks again!


No longer working with recent updates

Hello! I've been using this project for awhile and it seems that somethings broken in recent updates. I am getting the following error in my logs when switching windows and I see nice levels are not being automatically adjusted like they used to,
file:///home/nicholas/.local/share/kwin/scripts/kwin-system76-scheduler-integration/contents/code/main.js:2: TypeError: Cannot read property 'pid' of null

Just curious if there is a simple fix but I do see its been awhile since this repo has received updates.
Thanks!

Hi! Thanks for reporting this issue. Are you running Kwin 6.0? If so, that's great! Mind trying this simple fix? https://github.com/maxiberta/kwin-system76-scheduler-integration/commit/093a269670275feaa240d02c712f1ec8b812fd80
Cheers

Thanks for the prompt reply! I'm running Fedora release 39 which is not using Kwin 6.0 yet, I'm running 5.27.11. I tried your fix anyways and get the following error:
main.js:1: error: Cannot call method 'connect' of undefined**

Works like normal upon updating to Fedora 40 using KWin 6.0 and reinstalling the plugin from git.


Release notes and version string update.

Should be all addressed now. I messed up the version string update, but it should be good now.


Dev

The following changes since commit 415b7a7398670647a49f950a643cc1e53a0a636b:
fix additional spaces in .travis.yml (2015-03-06 17:10:48 -0800)
are available in the git repository at:
https://github.com/bddenhartog/docker-registry
for you to fetch changes up to c9e7c8ba8ed68f4bc82ecd2683c544974feb0a53:
add some files (2015-03-06 17:21:36 -0800)

Whoops, sorry about that! This shouldn't have made its way over here.

No problem, it happens :-)


Configure client with custom class

Q
A

Bug?
no

New Feature?
yes

Version
1.13.0

We use Symfony 4 auto-wiring. To make it easier to inject the right client inside the service it would be great if I could specify the class name per httplug client.
This feature is supported by EightPointGuzzleBundle and allows you to do something like this:
httplug:
    clients:
        acme:
            classes:
                client: 'My\Custom\HttpClient'

I looked at HTTPlug and I see that it uses factories to get this done. I could of course create a factory for every single httplug client, but that feels like a lot of work.
Wondering if there is a better way? I'm willing to create a PR.

I think this can be fairly easy by just adding a decorating service definition when class configuration node is set.

You can always do something like this:
config/services.yaml
services:
My\Custom\HttpClient: ~

config/httplug.yaml
httplug:
clients:
my_client:
service: 'My\Custom\HttpClient'

as per discussion in the pull request: use the symfony service decoration feature which is more flexible than building something specific into this bundle.


Youtube Music always start with Greybird by default on Gnome 3.34 (Adwaita)

I'm using Fedora 31 with Gnome 3.34 and the default Adwaita theme, however, whenever I start the app, it is using Greybird. I go to the settings, change it to "default" and, if I close and open again, there is Greybird again. I'm using the "prefer a dark variant" setting enabled.
Nuvola Runtime version: 4.16.26
YoutTube Music version: 1.3.2
The attached text file is the output of running eu.tiliado.NuvolaAppYoutubeMusic --debug, waiting the web page to load and closing again: Nuvola Greybird.txt

Hello @pedrofleck. Thanks for reporting the issue. Could you update to the latest Nuvola flatpaks (Nuvola 4.16.31, Diorite 4.16.11)? You should be now able to select Adwaita in preferences and it should persist after the restart of the app.

Wow, that was fast. I didn't use the computer until now, I booted and saw there was an update for Nuvola in the Software app. I updated, opened YouTube Music and voilá: correct theme (I didn't even have to change it), it also persisted after restarting the app. Thanks a lot!

Great :-)


Created Issue: #2.txt file

Issue: #2

Hey @rndastech
Thanks for opening this PR 🚀. Mentor will review your pull request soon and till then, keep contributing and stay calm.
Thanks for contributing in OpenCode'24 ✨✨!

Hey @rndastech
Your PR has been merged 🥳🥳 and you have earned 20 points.
Thanks for contributing in OpenCode'24 ✨✨


Annotate route with error

It'll be helpful to have the annotations added on the error status.
eg when a cert is added we get.
    kubernetes.io/tls-acme.last-update-time: '2017-06-16T05:51:36Z'

If a renew fails or we can't authorise the domain, it would be nice to have a log of the error in the annotation so a user who doesn't have access to openshift-acme logs can at least see what could be wrong.

+1; e.g. https://github.com/tnozicka/openshift-acme/blob/1895421df94c968cef99bf409030b62d701a1187/pkg/openshift/controllers/acme/dbcertentry.go#L81

fixed in https://github.com/tnozicka/openshift-acme/pull/48
the controller emits events now


Enable shapely speedups by default?

Currently the speedups cython module is compiled (if possible) at install, but the user has to manually enable it in each script to benefit. Is there a reason for this? Why aren't they enabled by default, instead falling back to ctypes if not available?
Incidentally, we don't appear to test the disable function - and it's broken! (by me...)
https://github.com/Toblerity/Shapely/blob/master/shapely/speedups/__init__.py#L61
I'll put in a PR to fix this bug, but would like to open a discussion re: enabling the speedups automatically where speedups.available == True.

:+1: from me. We now test that cython implementation == ctypes implementation in all tested cases, so anywhere there isn't parity is a bug IMHO.

:+1:


Client Allocation Request for: (주)찬늘

Client Allocation Questions
Core Information

Name: (주)찬늘
Website / Social Media: www.redfox.gift
Region: Asia excl. Greater China
DataCap Requested: 1TiB
Addresses to be Notarized: f3xhkfkpiic35xrnzsyklgthys3po3c2dfidveg2syg3kqv3lmoqmo6dadlnmoxwupyal3s6maswnhtrvggeha
Notary Requested: dannyob

@ckssmf0045 Please subscribe to notifications for this Issue to be aware of updates. Notaries may request additional information on the Issue.

Dupe of #655


feat: added pr and issue template

https://github.com/anuragverma108/WildGuard/issues/63
Pull Request Description
Description:
This pull request introduces a Pull Request (PR) template to the project. The purpose of the PR template is to standardize and improve the quality of pull request submissions by ensuring that contributors provide the necessary information. The template guides contributors to summarize their changes, link related issues, include testing details, and provide any relevant screenshots.
Added a pull_request_template.md file under the .github/template directory.
The template includes sections for description, key changes, related issues, screenshots, testing, types of changes, and a checklist for contributors.
Key Changes:
Added: .github/template/pull_request_template.md
Related Issue(s)
No related issues were resolved by this pull request.
Screenshots (if applicable)
No screenshots are applicable for this PR.
Testing
Not applicable. This change only adds a markdown file that will be used when creating pull requests.
Type of Changes
Documentation update (adding a PR template)
Checklist
I have read the contribution guidelines
My code follows the project’s coding style
I have performed a self-review of my code
My changes generate no new warnings
I have added tests that prove my fix is effective or that my feature works (N/A)
All new and existing tests passed (N/A)
Additional Notes
This PR template aims to improve the pull request process by making it easier for contributors to submit consistent, detailed, and high-quality PRs.
https://github.com/anuragverma108/WildGuard/issues/63
Pull Request Description
Description:
This pull request adds multiple issue templates to the project, improving the workflow for creating standardized issues. The templates guide contributors to submit well-structured bug reports, feature requests, and other types of issues.
Added three issue templates in the .github/templates/issue_template/ directory.
bug_report.md: For reporting bugs in the project.
feature_request.md: For submitting feature requests or improvements.
other_issue.md: A general template for any other types of issues not covered by the above categories.
These templates will help ensure that contributors provide the necessary details when reporting issues, leading to better organization and more effective problem resolution.
Key Changes:
Added: .github/templates/issue_template/bug_report.md
Added: .github/templates/issue_template/feature_request.md
Added: .github/templates/issue_template/other_issue.md
Related Issue(s)
No related issues were directly resolved by this pull request.
Screenshots (if applicable)
No screenshots are necessary for this PR.
Testing
Not applicable. This change only adds markdown files for GitHub issue templates.
Type of Changes
Documentation update (adding issue templates)
Checklist
I have read the contribution guidelines
My code follows the project’s coding style
I have performed a self-review of my code
My changes generate no new warnings
All new and existing tests passed (N/A)
Additional Notes
The added issue templates aim to streamline the process of reporting bugs, requesting features, and submitting other issues by providing clear guidelines and structure for contributors.

Awesome contribution to Hacktoberfest'24! 🎉 Your work is super valuable. Keep up the great work!


Feat/implement camerainfo client

Added HttpRequestHelper.
Added CameraInfoClient
Refactored part of UI.
Implemeneted client usage in UI.

Functionallity was consciously not covered with unit tests as the lifecycle of this UI is 2-3 weeks atax only for demonstration purposes.


[Map] DM-EgyptianArena[remix]

Dear Sir/Madam,
I am Danilo Di Mascio and this is not one of my old levels. Could you please delete the file or change the author's name?
Thank you for your kind attention.
Kind regards,
Danilo

URL: https://unrealarchive.org/maps/unreal-tournament/deathmatch/E/dm-egyptianarenaremix_b890f66b.html
Hash: b890f66b21e74b521a3c7708a208f5634224bc32
Current name: DM-EgyptianArena[remix]

Fixed


Fix file mode of mushrooms.csv

Jenkins, test this please.

Jenkins CI test (for commit 509e3213f3b3dc346d16962a10d9230013680ba4, target branch master) failed with status FAILURE.
(For contributors, please wait until the reviewer confirms the details of the error.)

LGTM! Test failures are not related to this PR.


substantial cleaning is required

See IRC discussion on this day :
https://irclogs.raku.org/raku/2023-01-11.html#11:49

I'm not sure if this has been mentioned or not but the creation of Digest::HMAC might not have been the "biggest" (as much as this can be estimated) breakage in the interface of this distribution,
There used to be a Digest module which itself was depended upon. Now that it went down, one may end up in a situation where they desperately try to install the Digest distribution but use Digest keeps failing.
The change itself might make sense but 1. it was clearly a breaking change of the most fundamental kind 2. the modules/distributions that depended on it need to be updated and perhaps hardened so as to not break by a change like this.


memberOf Overlay not working

Hi,
I'm trying to get the memberOf overlay to work, but unfortunately haven't had much luck with it. It also didn't help that OpenLDAP documentation is pretty poor (specifically for cn=config).
I built the container and ran it with the following command:
docker run (-v mounts here)
        -e SLAPD_FORCE_RECONFIGURE='false' \
        -e SLAPD_PASSWORD='testing' \
        -e SLAPD_DOMAIN='example.com' \
        -e SLAPD_ORGANIZATION='Example' \
        -e SLAPD_ADDTIONAL_MODULES='memberof' \
        -d "dinkel/docker-openldap";

Initial slapcat output:
dn: dc=example,dc=com
objectClass: top
objectClass: dcObject
objectClass: organization
o: Example
dc: example
structuralObjectClass: organization
entryUUID: bd7664d2-727e-1035-9a17-95e57c39ed3c
entryCSN:<PHONE_NUMBER>5031.076336Z#000000#000#000000

dn: cn=admin,dc=example,dc=com
objectClass: simpleSecurityObject
objectClass: organizationalRole
cn: admin
description: LDAP administrator
userPassword:: e1NTSEF9d2lBbGpWOWlLblF3MzRaR2hLYjRnM25HMTdlMjVvOEM=
structuralObjectClass: organizationalRole
entryUUID: bd7b7684-727e-1035-9a18-95e57c39ed3c
entryCSN:<PHONE_NUMBER>5031.109551Z#000000#000#000000

Next I create the following Organizational Units with LDAP Account Manager:
ou=People,dc=example,dc=com
ou=Groups,dc=example,dc=de

("All changes were successfull" according to LAM).
Now the slapcat output also has the following entries (proceded by the one posted above):
dn: ou=People,dc=example,dc=com
objectClass: organizationalUnit
ou: People
structuralObjectClass: organizationalUnit
entryUUID: 00ffad78-7287-1035-8f61-d54190ab461f
entryCSN:<PHONE_NUMBER>4940.357217Z#000000#000#000000

dn: ou=Groups,dc=example,dc=com
objectClass: organizationalUnit
ou: Groups
structuralObjectClass: organizationalUnit
entryUUID: 012074ae-7287-1035-8f62-d54190ab461f
entryCSN:<PHONE_NUMBER>4940.572034Z#000000#000#000000

Next I create a Group called "Users":
dn: cn=Users,ou=Groups,dc=example,dc=com
objectClass: posixGroup
gidNumber: 10000
cn: Users
structuralObjectClass: posixGroup
entryUUID: 69617f5e-7287-1035-8f63-d54190ab461f
entryCSN:<PHONE_NUMBER>5235.481337Z#000000#000#000000

Finally, I create a User (cn=Mr Test, uid=test) which has "Users" as its primary group:
dn: cn=Mr Test,ou=People,dc=example,dc=com
objectClass: posixAccount
objectClass: inetOrgPerson
objectClass: organizationalPerson
objectClass: person
homeDirectory: /home/test
loginShell: /bin/bash
uid: test
cn: Mr Test
uidNumber: 10000
gidNumber: 10000
sn: Mr Test
structuralObjectClass: inetOrgPerson
entryUUID: a97ee16c-7287-1035-8f64-d54190ab461f
entryCSN:<PHONE_NUMBER>5423.048086Z#000000#000#000000

AFAIK, there should be an attribute memberOf. Also, the following LDAP queries do not work:
ldapsearch -x -b "dc=example,dc=com" "(&(uid=*)(memberOf=cn=Users,ou=Groups,dc=example,dc=com))"
ldapsearch -x -b "dc=example,dc=com" "(&(uid=test)(memberOf=cn=Users,ou=Groups,dc=example,dc=com))"
ldapsearch -x -b "dc=example,dc=com" "(&(cn=Mr Test)(memberOf=cn=Users,ou=Groups,dc=example,dc=com))"

All of the above give the same result:
# search result
search: 2
result: 0 Success

Am I missing something here?
I also tried applications like Ampache, but got the response User cn=Mr Test,ou=People,dc=example,dc=com is not a member of group cn=Users,ou=Groups,dc=example,dc=com (which is definitely false).
Any help is appreciated.

EDIT: Removed timestamps and creator information from slapcat output for better readability.

It seems that you also need to add the objectClass: groupOfNames to your group members. Then you have the attribute member in your group, where you can link DNs as members, like so: member: cn=Mr Test,ou=People,dc=example,dc=com.
Hope this helps...

Since you also happen to maintain a PHP LDAP Admin image, could you maybe tell me how to to what you just described in the Web interface?
I really can't figure out how to do it...

Please note, that I am no expert in OpenLDAP, I am still learning and beginning see the root of your problem. You have to choose between either posixGroup or groupOfNames objectClasses for your groups (I wasn't aware of the fact that you cannot have these two objectClasses side by side in a single object while writing my first answer above). While posixGroup also lets you have lists of memberUids for your groups, you cannot directly query for a list of users that belong to a group. This is (probably) why the memberof(and refint) overlay was created.
Seeing this example setup might help you understand memberof (I am using something very similar):
dn: ou=People,dc=example,dc=com
objectclass: organizationalUnit
objectclass: top
ou: People

dn: cn=john,ou=People,dc=example,dc=com
cn: john
# gidNumber is not really used, but required when using posixAccount
gidnumber: 10000
homedirectory: /home/john
objectclass: inetOrgPerson
objectclass: posixAccount
objectclass: top
sn: Doe
uid: john
uidnumber: 1000

dn: cn=max,ou=People,dc=example,dc=com
cn:  max
# gidNumber is not really used, but required when using posixAccount
gidnumber: 10000
homedirectory: /home/max
objectclass: inetOrgPerson
objectclass: posixAccount
objectclass: top
sn: Powers
uid: max
uidnumber: 1001

dn: ou=Groups,dc=example,dc=com
objectclass: organizationalUnit
objectclass: top
ou: Groups

dn: cn=users,ou=Groups,dc=example,dc=com
cn: users
objectclass: groupOfNames
objectclass: top
member: cn=john,ou=People,dc=example,dc=com
member: cn=max,ou=People,dc=example,dc=com

dn: cn=wheel,ou=Groups,dc=example,dc=com
cn: wheel
objectclass: groupOfNames
objectclass: top
member: cn=john,ou=People,dc=example,dc=com

dn: cn=audio,ou=Groups,dc=example,dc=com
cn: audio
objectclass: groupOfNames
objectclass: top
member: cn=max,ou=People,dc=example,dc=com

# groupOfNames needs at least one member attribute, so empty groups cannot be created
#dn: cn=empty,ou=Groups,dc=example,dc=com
#cn: empty
#objectclass: groupOfNames
#objectclass: top

Now the query stings below should work:
(&(uid=*)(memberOf=cn=users,ou=Groups,dc=example,dc=com))
(&(uid=john)(memberOf=cn=users,ou=Groups,dc=example,dc=com))

If you need GIDs in your groups as well, I don't know how you would do that, as groupOfNames doesn't allow you to have this attribute. DuckDuckGoing showed a few results with hacks that extend the posixGroup with a specially crafted member like attribute and reconfiguring memberof. I didn't try this however!
Btw: In phpLDAPadmin you can create new groups by clicking "Create a child entry" from your "Groups" organizationalUnit, then click on "Default" and choose "groupOfNames" from the list. You are then presented with a DN browser for your members.

First of all, I'd like to thank you very much for your in-depth description.
I tinkered around a bit with the various settings and forms inside PLA, but wasn't able to achieve any success. So I decided to just copy&paste your LDIF into my server.
However, I'm still not able to get this functionality working. LDAP is kind of driving me crazy.
I created a fresh Docker container and imported your LDIF posted above via PHP LDAP Admin (successfully, no errors or warnings):
Pastebin
These queries are still not working:
root@openldap:/# ldapsearch -x -b "dc=example,dc=com" "(&(uid=*)(memberOf=cn=users,ou=Groups,dc=example,dc=com))"
# base <dc=example,dc=com> with scope subtree
# filter: (&(uid=*)(memberOf=cn=users,ou=Groups,dc=example,dc=com))
# requesting: ALL
# search result
search: 2
result: 0 Success
# numResponses: 1
root@openldap:/# ldapsearch -x -b "dc=example,dc=com" "(&(uid=john)(memberOf=cn=users,ou=Groups,dc=example,dc=com))"
# base <dc=example,dc=com> with scope subtree
# filter: (&(uid=john)(memberOf=cn=users,ou=Groups,dc=example,dc=com))
# requesting: ALL
# search result
search: 2
result: 0 Success
# numResponses: 1

Any other ideas?

This looks as if the memberof module wasn't loaded ... at least I got the same results as you when running the container without it. Are you sure you did add -e SLAPD_ADDITIONAL_MODULES=memberof?
Note that if you have a volume connected that saves your configuration, you need to add -e SLAPD_FORCE_RECONFIGURE=true for reconfiguration.
You can quite easily check this in phpLDAPadmin, when clicking on "schema" and then try to find "olcMemberOf" in the drop down list.

Oh my godness. I am so sorry for wasting your time.

(I checked in PLA, and the olcMemberOf Attribute was not present.)
I am really glad you helped me out, @dinkel !


Error with training Faster R-CNN with new torchvision=0.12

🐛 Describe the bug
Hi, I am using faster r-cnn to train our own COCO datasets. However, when I pass the arguments to the train.py, it shows me the error. I checked the source code of faster rcnn and there is no weights argument. Could you please help me fix this issue?
Creating data loaders
Using [0, 0.5, 0.6299605249474366, 0.7937005259840997, 1.0, 1.2599210498948732, 1.5874010519681994, 2.0, inf] as bins for aspect ratio quantization
Count of instances per bin: [5952]
Creating model
Traceback (most recent call last):
File "train.py", line 288, in
main(args)
File "train.py", line 200, in main
weights=args.weights, weights_backbone=args.weights_backbone, num_classes=num_classes, **kwargs
File "/home/liulab/anaconda3/envs/py37/lib/python3.7/site-packages/torchvision/models/detection/faster_rcnn.py", line 396, in fasterrcnn_resnet50_fpn
model = FasterRCNN(backbone, num_classes, **kwargs)
TypeError: init() got an unexpected keyword argument 'weights'
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 21833) of binary
Versions
PyTorch version: 1.11.0
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A
OS: Ubuntu 16.04.2 LTS (x86_64)
GCC version: (Ubuntu 5.4.0-6ubuntu1~16.04.12) 5.4.0 20160609
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.17
Python version: 3.7.13 (default, Mar 29 2022, 02:18:16)  [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-4.15.0-142-generic-x86_64-with-debian-stretch-sid
Is CUDA available: True
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: GeForce GTX 1660 Ti
Nvidia driver version: 460.27.04
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] numpy==1.21.6
[pip3] torch==1.11.0
[pip3] torchaudio==0.11.0
[pip3] torchvision==0.12.0
[conda] blas                      1.0                         mkl
[conda] cudatoolkit               11.3.1               h2bc3f7f_2
[conda] ffmpeg                    4.3                  hf484d3e_0    pytorch
[conda] mkl                       2021.4.0           h06a4308_640
[conda] mkl-service               2.4.0            py37h7f8727e_0
[conda] mkl_fft                   1.3.1            py37hd3c417c_0
[conda] mkl_random                1.2.2            py37h51133e4_0
[conda] numpy                     1.21.6                   pypi_0    pypi
[conda] numpy-base                1.21.5           py37hf524024_2
[conda] pytorch                   1.11.0          py3.7_cuda11.3_cudnn8.2.0_0    pytorch
[conda] pytorch-mutex             1.0                        cuda    pytorch
[conda] torchaudio                0.11.0               py37_cu113    pytorch
[conda] torchvision               0.12.0               py37_cu113    pytorch

Hi @pengwenyu
The reference scripts are tested on latest main branch. The feature to use weights is available in nightlies and is under prototype and not released into stable yet.
To train models from reference scripts, please use nightlies or build torchvision from source.

Alternatively you can:

use the training references of the previous version - but that might not give you the latest improvements
wait a few days for the upcoming 0.13 version of torchvision  :)

I think @oke-aditya properly explained the reason for the error, so I'll close the issue. Feel free to re-open if you have further questions

Hi @pengwenyu The reference scripts are tested on latest main branch. The feature to use weights is available in nightlies and is under prototype and not released into stable yet.
To train models from reference scripts, please use nightlies or build torchvision from source.

I am using the new nightly version but still fail. This is my new version:
1.13.0.dev20220608+cu113
And the error message is the same:
model = FasterRCNN(backbone, num_classes, **kwargs)
TypeError: init() got an unexpected keyword argument 'weights'


Fix JNI FindClass "tinyb/BluetoothNotification" not found

Issue #52 : JNI call to findClass BluetoothNotification failed

This issue happen with javafx application,
but not with "simple" java application.

This issue happen only with "tinyb/BluetoothNotification" interface.

Using the callback reference to retrieve the class instead of using
FindClass works fine.

Signed-off-by: Julien Decaen<EMAIL_ADDRESS>

Hi, thanks for your submission!


cmd/gofmt: formatting improvements may break existing presubmit checks

See e.g. https://github.com/golang/go/issues/18264#issuecomment-342338179 .
The change in https://golang.org/cl/71990 changes permissible formats. Existing presubmit checks that use the new gofmt may complain about existing code formatted differently.
Do we need to do anything about this besides documentation? Do we need to roll back the (positive) change? Do we need a flag?

Any change to gofmt, even a positive one, is indeed problematic for many users.  We have also seen several failures in internal google testing.

In this specific case (CL 71990) we could provide a (temporary) flag or perhaps use -s to enable the change. Once made, the code is ok. This leaves it to each team to decide whether they want to change or not.

Using a flag for gofmt seems to me to make the problem worse.  If it's a problem today, then it's a problem when we remove the flag, so I don't see how we can ever remove the flag.  And people have to know to add the flag.  So we have the same problem, plus we have a flag.

I'm thinking that perhaps we don't remove the flag. It would be the same flag for all future changes. If people chose to set it, the code will go through a one-time reformat, after which is remains changed (in this case, empty lines will remain removed) even if the flag is not used. This would users give a chance to "opt in" when they want to. Similarly to the option -s which allows a one-time simplification that remains applied even if future gofmt invocations don't use -s.

How about making gofmt allow both old and new formats in these cases? Without changing the old to the new one. Then, at some point in the future (2.0?), support for the old formats is dropped.

@griesemer I see.  What would the flag name be?  What should people who use the go/format package do?  Some tests generate code, run it through go/format, and compare that to a golden file.
@mvdan If we don't change the format, but simply accept either variant, then at least with regard to https://golang.org/cl/71990  I'm not clear on how that differs from what we did before that CL.

You're right, my proposal doesn't work at all with changes that simply made gofmt stricter.

This is a bit unfortunate that it happened and yes, a lot of issues will be caused by this.
I've seen a lot of people, both on Gophers Slack or while helping them with various issues for the GoLand IDE, that are running gofmt ./... or similar commands. Having this change will generate a lot of needless commit diffs and upset a lot of people.
I've asked many times about the gofmt status and actually documenting it, see #18790, but I've always got the same response as in the linked issue. Maybe in the light of this issue, this will be reconsidered?
Thank you.

@dlsniper The proposal #18790 has been declined for good reasons. There's no need to revisit this for now.

Several thoughts:

For the class of gofmt changes where the tool is more strict, gofmt can always be run across the code-base today, and have the (probably small) set of changes checked in. This will avoid future breakages for the upcoming release.
If gofmt is being run as part of a CI or presubmit step, then perhaps it should only be run on the files that changed in the last commit. This has many benefits:

It scales better as the repository scales.
The issue of version skew for gofmt fixes itself naturally over time. If you change foo.go and the CI complains because of gofmt, then just submit it with the updated gofmt change as well (which will almost always be irrelevant whitespace changes).

At least for Google, most of the breakages have been because of golden test data hard-coding gofmt'd output and expect the output to match byte-for-byte.

This is just a bad test, and the test should run both the golden output and test output through gofmt again before comparing it.
From gofmt's perspective, the only way to avoid these failures is to ensure gofmt's output is byte-for-byte identical from here on out, which is just not reasonable.

Also, note there are two classes of gofmt changes:

A relaxation on what is allowed. CL/66130 is an example where gofmt allows something that was formerly forbidden.
A restriction on what is allowed. CL/71990 is an example where gofmt forbid something that was formerly permitted.

For the upcoming release, we have both.

For migration of "breaking" gofmt changes, could we use something to how vendoring was introduced?  Behaviour defaults to off, enable with environment variable, then switch to behaviour defaults to on, disable with environment variable, then remove environment variable?

Closed in favor of #22695.