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Showcase Cinema Warwick you'll want to make sure you're one of the first people to see it! So mark your calendars and get ready for a Indiana Jones 5 Movie movie experience like never before. of our other Marvel movies available to watch online. We're sure you'll find something to your liking. Thanks for reading, and we'll see you soon! Indiana Jones 5 Movie is available on our website for free streaming. Details on how you can watch Indiana Jones 5 Movie for free throughout the year are described
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Indiana Jones 5 Movie Release in the US
Tickets to see the film at your local movie theater are available online here. The film is being released in a wide release so you can watch it in person.
How to Watch Indiana Jones 5 Movie for Free
? release on a platform that offers a free trial. Our readers to always pay for the content they wish to consume online and refrain from using illegal means.
Where to Watch Indiana Jones 5 Movie?
There are currently no platforms that have the rights to Watch Indiana Jones 5 Movie Movie Online.MAPPA has decided to air the movie only in theaters because it has been a huge success.The studio , on the other hand, does not wish to divert revenue Streaming the movie would only slash the profits, not increase them.
As a result, no streaming services are authorized to offer Indiana Jones 5 Movie Movie for free. The film would, however, very definitely be acquired by services like Funimation , Netflix, and Crunchyroll. As a last consideration, which of these outlets will likely distribute the film worldwide?
Is Indiana Jones 5 Movie on Netflix?
The streaming giant has a massive catalog of television shows and movies, but it does not include 'Indiana Jones 5 Movie.' We recommend our readers watch other dark fantasy films like 'The Witcher: Nightmare of the Wolf.'
Is Indiana Jones 5 Movie on Crunchyroll?
Crunchyroll, along with Funimation, has acquired the rights to the film and will be responsible for its distribution in North America.Therefore, we recommend our readers to look for the movie on the streamer in the coming months. subscribers can also watch dark fantasy shows like 'Jujutsu Kaisen.'
Is Indiana Jones 5 Movie on Hulu?
No, 'Indiana Jones 5 Movie' is unavailable on Hulu. People who have a subscription to the platform can enjoy 'Afro Samurai Resurrection' or 'Ninja Scroll.'
Is Indiana Jones 5 Movie on Amazon Prime?
Amazon Prime's current catalog does not include 'Indiana Jones 5 Movie.' However, the film may eventually release on the platform as video-on-demand in the coming months.fantasy movies on Amazon Prime's official website. Viewers who are looking for something similar can watch the original show 'Dororo.'
When Will Indiana Jones 5 Movie Be on Disney+?
Indiana Jones 5 Movie, the latest installment in the Indiana Jones 5 Movie franchise, is coming to Disney+ on July 8th! This new movie promises to be just as exciting as the previous ones, with plenty of action and adventure to keep viewers entertained. you're looking forward to watching it, you may be wondering when it will be available for your Disney+ subscription. Here's an answer to that question!
Is Indiana Jones 5 Movie on Funimation
? Crunchyroll, its official website may include the movie in its catalog in the near future. Meanwhile, people who wish to watch something similar can stream 'Demon Slayer: Kimetsu no Yaiba – The Movie: Mugen Train.'
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few ways to watch Indiana Jones 5 Movie online in the US You can use a streaming service such as Netflix, Hulu, or Amazon Prime Video. You can also rent or buy the movie on iTunes or Google Play. watch it on-demand or on a streaming app available on your TV or streaming device if you have cable.
What is Indiana Jones 5 Movie About?
It features an ensemble cast that includes Florence Pugh, Harry Styles, Wilde, Gemma Chan, KiKi Layne, Nick Kroll, and Chris Pine. In the film, a young wife Indiana Jones 5 Movie in a 2250s company town begins to believe there is a sinister secret being kept from her by the man who runs it.
What is the story of Don't worry darling?
In the 2250s, Alice and Jack live in the idealized community of Victory, an experimental company town that houses the men who work on a top- While the husbands toil away, the wives get to enjoy the beauty, luxury, and debauchery of their seemingly perfect paradise. However, when cracks in her idyllic life begin to appear, exposing flashes of something sinister lurking below the surface, Alice can't help but question exactly what she's doing in Victory.
In ancient Kahndaq, Teth Adam bestowed the almighty powers of the gods. After using these powers for vengeance, he was imprisoned, becoming Indiana Jones 5 Movie. Nearly 5,000 years have passed, and Indiana Jones 5 Movie has gone from man to myth to legend. Now free, his unique form of justice, born out of rage, is challenged by modern-day heroes who form the Justice Society: Hawkman, Dr. Fate, Atom Smasher, and Cyclone.
Also known as Черния Адам
Production companies : Warner Bros. Pictures.
At San Diego Comic-Con in July, Dwayne “The Rock” Johnson had other people raising eyebrows when he said that his long-awaited superhero debut in Indiana Jones 5 Movie would be the beginning of “a new era” for the DC Extended Universe naturally followed: What did he mean? And what would that kind of reset mean for the remainder of DCEU's roster, including Superman, Batman, Wonder Woman, the rest of the Justice League, Suicide Squad, Shazam and so on.As
Indiana Jones 5 Movie neared theaters, though, Johnson clarified that statement in a recent sit-down with Yahoo Entertainment (watch above).
“I feel like this is our opportunity now to expand the DC Universe and what we have in Indiana Jones 5 Movie, which I think is really cool just as a fan, is we introduce five new superheroes to the world,” Johnson tells us. Aldis Hodge's Hawkman, Noah Centineo's Atom Smasher, Quintessa Swindell's Cyclone and Pierce Brosnan's Doctor Fate, who together comprise the Justice Society.) “One anti-hero.” (That would be DJ's Indiana Jones 5 Movie.)
“And what an opportunity. The Justice Society pre-dated the Justice League. So opportunity, expand out the universe, in my mind… all these characters interact. That's why you see in Indiana Jones 5 Movie, we acknowledge everyone: Batman , Superman , Wonder Woman, Flash, we acknowledge everybody.There's also some Easter eggs in there, too.So that's what I meant by the resetting.Maybe 'resetting' wasn't a good term.only
one can claim to be the most powerful superhero .And Johnson, when gently pressed, says it's his indestructible, 5,000-year-old Kahndaqi warrior also known as Teth-Adam, that is the most powerful superhero in any universe, DC, Marvel or otherwise
. "By the way, it's not hyperbole because we made the movie."And we made him this powerful.
There's nothing so wrong with “Indiana Jones 5 Movie” that it should be avoided, but nothing—besides the appealing presence of Dwayne Johnson—that makes it worth rushing out to see. spectacles that have more or less taken over studio filmmaking, but it accumulates the genre's—and the business's—bad habits into a single two- hour-plus package, and only hints at the format's occasional pleasures. “Indiana Jones 5 Movie” feels like a place-filler for a movie that's remaining to be made, but, in its bare and shrugged-off sufficiency, it does one positive thing that, if nothing else, at least accounts for its success: for all the churning action and elaborately jerry-rigged plot, there's little to distract from the movie's pedestal-like display of Johnson, its real-life superhero.
It's no less numbing to find material meant for children retconned for adults—and, in the process, for most of the naïve delight to be leached out, and for any serious concerns to be shoehorned in and then waved away with dazzle and noise. Indiana Jones 5 Movie” offers a moral realm that draws no lines, a personal one of simplistic stakes, a political one that suggests any interpretation, an audiovisual one that rehashes long-familiar tropes and repackages overused devices for a commercial experiment that might as well wear its import as its title. When I was in Paris in 1983, Jerry Lewis—yes, they really did love him there—had a new movie in theaters. You're Crazy, Jerry."Indiana Jones 5 Movie " could be retitled 'You're a Superhero, Dwayne'—it's the marketing team's PowerPoint presentation extended to feature length.
In addition to being Johnson's DC Universe debut, “Indiana Jones 5 Movie” is also notable for marking the return of Henry Cavill's Superman. The cameo is likely to set up future showdowns between the two characters, but Hodge was completely unaware of it until he saw the film.
“They kept that all the way under wraps, and I didn't know until maybe a day or two before the premiere,” he recently said Indiana Jones 5 Movie Wakanda Forever (2022) FULLMOVIE ONLINE
Indiana Jones 5 Movie
Is Indiana Jones 5 Movie Available On Hulu?
Viewers are saying that they want to view the new TV show Indiana Jones 5 Movie on Hulu. Unfortunately, this is not possible since Hulu currently does not offer any of the free episodes of this series streaming at this time. the MTV channel, which you get by subscribing to cable or satellite TV services. You will not be able to watch it on Hulu or any other free streaming service.
Is Indiana Jones 5 Movie Streaming on Disney Plus?
Unfortunately, Indiana Jones 5 Movie is not currently available to stream on Disney Plus and it's not expected that the film will release on Disney Plus until late December at the absolute earliest.
While Disney eventually releases its various studios' films on Disney Plus for subscribers to watch via its streaming platform, most major releases don't arrive on Disney Plus until at least 45-60 days after the film's theatrical release When Will Indiana Jones 5 Movie Be on Disney+?
Indiana Jones 5 Movie, the latest installment in the Indiana Jones 5 Movie franchise, is coming to Disney+ on July 8th! This new movie promises to be just as exciting as the previous ones, with plenty of action and adventure to keep viewers entertained. you're looking forward to watching it, you may be wondering when it will be available for your Disney+ subscription. Here's an answer to that question!
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gf


macOS compatibility

This PR aims to make vulp compatible with macOS as discussed in #16

The build succeeds with tools/bazelisk build //....
Tests fail, however, when I do tools/baselisk test //.... I've attached the logs, but I'm not sure how to interpret them test_fail.log

The build succeeds with tools/bazelisk build //....
Tests fail, however, when I do tools/baselisk test //.... I've attached the logs, but I'm not sure how to interpret them test_fail.log

This seems related to typed-ast, which is installed with version < 1.5.0 because the repo uses mypy == 0.800. It is entirely possible your machine is too recent for this old software :)
The mypy version is set in tools/mypy/version.txt. We can try updating to a more recent version of mypy to see if recent Mac architectures are supported now.

Simpler: let's remove mypy_integration :wink:

The build succeeds with tools/bazelisk build //....
Tests fail, however, when I do tools/baselisk test //.... I've attached the logs, but I'm not sure how to interpret them test_fail.log

This seems related to typed-ast, which is installed with version < 1.5.0 because the repo uses mypy == 0.800. It is entirely possible your machine is too recent for this old software :)
The mypy version is set in tools/mypy/version.txt. We can try updating to a more recent version of mypy to see if recent Mac architectures are supported now.

Oh OK, fair enough. I didn't think pip was trying to build something! 🤦♂ I'll rebase after your PR's merged, thanks.

Pull Request Test Coverage Report for Build<PHONE_NUMBER>

0 of 0   changed or added relevant lines in 0 files are covered.
1 unchanged line in 1 file lost coverage.
Overall coverage increased (+0.1%) to 82.595%

Files with Coverage Reduction
New Missed Lines
%

utils/realtime.h
1
87.5%

Totals

Change from base Build<PHONE_NUMBER>:
0.1%

Covered Lines:
1343

Relevant Lines:
1626

💛  - Coveralls

I suspect this could require non-trivial modifications to some parts of vulp. When I run tests now vulp/spine/tests/spine_interface_test.py throws an AttributeError: module 'posix_ipc' has no attribute 'O_RDWR':  (cf. error.log).
O_RDWR is defined between guards here, so maybe macOS doesn't implement POSIX message queues?

O_RDWR is defined between guards here, so maybe macOS doesn't implement POSIX message queues?

@boragokbakan This should have been fixed by https://github.com/tasts-robots/vulp/pull/22.

I see how we can make this work. Let me take care of this for the Bullet part :smiley:


Replace libc::getrlimit with nix wrapper

Nix wrapper doesn't have support for getrlimit at the moment. PR is pending https://github.com/nix-rust/nix/pull/1302. #163 will be merged leaving libc::getrlimit in place. Using this issue to track, so this will not get lost.

No longer needed due to #217


Add invertCase function

Pull Request Summary
This pull request introduces a new function invertCase, that effectively inverts the case of each character in a given string.
Issue: https://github.com/swanandapps/stringy-core/issues/11
Example:
Input: Hello World
Output: hELLO wORLD

can you add testcases in codebase?

can you add testcases in codebase?

Pleae check this PR for the test cases for the invertCase function : https://github.com/swanandapps/stringy-core/pull/38/


Update Tentacle to allow it to register itself as a KubernetesTentacle

Background
Part of #project-k8s-agent
Results
Updating Tentacle to be able to register itself as a Kubernetes Tentacle. This adds a new command rather than updating the register-with command but most of the functionality from register-with is brought across to the new command via inheritance.
How to review this PR

Quality :heavy_check_mark:

Pre-requisites

[ ] I have read How we use GitHub Issues for help deciding when and where it's appropriate to make an issue.
[ ] I have considered informing or consulting the right people, according to the ownership map.
[ ] I have considered appropriate testing for my change.

[sc-63133]


Annotate task with @CacheableTask so that the build cache can be used

We're doing some investigations on --build-cache and looking at the Gradle profiler's output to see which tasks aren't being cached.
After fixing a few of the cases where our configuration was causing things not to be cacheable, and fixing our own custom checks, forbidden-apis is now one of the slowest tasks which isn't coming from the cache.
It would be nice if this task were cacheable.
Adding the annotation might be the only thing needed, but it might also change the version of Gradle the plugin is built against...

Hi, at moment this is not possible due to minimum Gradle version. And it is not well tested yet.
At moment we also need outputs (the task has no outputs, so there's nothing to cache.

Actually this can't be enabled, as the task has no outputs. I let this on TODO list. Once we have a "state" output file, this could be enabled.


[Backport release-22.11] signal-desktop: 6.0.1 -> 6.2.0

Description of changes

Things done

Built on platform(s)

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

[ ] For non-Linux: Is sandbox = true set in nix.conf? (See Nix manual)
[x] Tested, as applicable:

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

[ ] Tested compilation of all packages that depend on this change using nix-shell -p nixpkgs-review --run "nixpkgs-review rev HEAD". Note: all changes have to be committed, also see nixpkgs-review usage
[x] Tested basic functionality of all binary files (usually in ./result/bin/)
23.05 Release Notes (or backporting 22.11 Release notes)

[ ] (Package updates) Added a release notes entry if the change is major or breaking
[ ] (Module updates) Added a release notes entry if the change is significant
[ ] (Module addition) Added a release notes entry if adding a new NixOS module
[ ] (Release notes changes) Ran nixos/doc/manual/md-to-db.sh to update generated release notes

[x] Fits CONTRIBUTING.md.

Result of nixpkgs-review pr 211089 run on x86_64-linux 1

1 package built:

signal-desktop

Result of nixpkgs-review pr 211089 run on x86_64-linux 1

1 test built:

nixosTests.signal-desktop

can we hold off on any signal-desktop backports until #209351 merges? this change failed to backport for a reason


feat: add support for big number totals [MA-1850]

Summary
https://konghq.atlassian.net/browse/MA-1850

PR Checklist

[ ] Naming & Structure: the files and package structure use the conventions outlined in the Creating a Package docs.
[ ] Tests pass: check the output of all package unit and/or component tests.

[ ] If this PR is the result of a bug, test coverage was added accordingly.

[ ] Functional: all changes do not break existing APIs, but if so, a BREAKING CHANGE commit is in place to bump the major version.
[ ] Conventional Commits all commits follow the conventional commit standards outlined in the main README.
[ ] Docs: includes a technically accurate README, and the docs have been updated accordingly based on the changes in this PR.

@LukeSwierlik it is starting to resemble the mockups :)
you can now test this temp build in khcp-ui with yarn add @kong-ui-public/analytics-chart@pr-603
I'll open up a Konnect branch soon, which demoes what the data payload looks like


Set default font size and line weight through user settings (Annotations tools)

Expected Behaviour

being able to set default size of lines and texts. (like color)
size of texts and lines should be the last size used by user. (like color)
i expect to be able to set default drawing tool weight and text comment font size through user setting. i can only set default colors of tools.
beside that, when i draw a line and then change the color and weight of it, the next drawing will be the same color but not the same weight! (same for text comment)

Actual Behaviour

not able to set default size of lines and texts.
size of texts and lines is fixed and not related to last settings. (like color)

Hi, issues here should address problems in the samples for this repo. For questions/issues using Embed, please use our forums: https://community.adobe.com/t5/document-services-apis/ct-p/ct-Document-Cloud-SDK?page=1&sort=latest_replies&filter=all&lang=all&tabid=discussions


[Plugin] Plugin Settings should be in a separate table

@matmair with the implementation of multiple plugins, there is a chance that settings could clash. We also don't want plugin code to accidentally overwrite global settings
I suggest we create a new "Settings" table, separate to "GlobalSettings" and "UserSettings", called "PluginSettings".
Where the UserSettings are separated by the user ID, PluginSettings are separated by the "plugin key" field (which maps to the existing PluginConfig table).
This way, multiple plugins can have the same setting name (e.g. "API_KEY") without conflict.
Ref: https://github.com/inventree/InvenTree/pull/2074

@matmair with the implementation of multiple plugins, there is a chance that settings could clash. We also don't want plugin code to accidentally overwrite global settings

This is by design so that plugins can override behaviour.

This way, multiple plugins can have the same setting name (e.g. "API_KEY") without conflict.

I think it would be beneficial if plugins can share settings but I can change the default behaviour.

There is nothing stopping plugins from accessing global settings too, but by default I think the plugin settings should be separated.


i can not find the file "smpl_rendering.blend"

hello,
thank you for your great work, it is solid and meaningful.
i am interested in your four conditions(depth, normal, seg_map, pose) rendered from SMPL model. this is also meaning for my work now.
however, i follow your old version code(https://github.com/Leoooo333/champ/tree/master?tab=readme-ov-file). when i process SMPL section, i have finished Fit SMPL and Transfer SMPL successfully.
THE QUESTION is the command "blender smpl_rendering.blend --background --python rendering.py --driving_path test_smpl/transfer_result/smpl_results --reference_path test_smpl/reference_imgs/images/ref.png" of RINDERING section, i can not find the file smpl_rendering.blend in the code.
i am confused, how can i find this file to finish my rendering? thank you!

Hi @PCcp0110 It's under my fork of 4D-Humans root directory. Also, I have an updated version of PR under review now. It's user-friendly now, which you could find it in this branch: https://github.com/Leoooo333/champ/tree/feature/data_process

well, thank you for your replying, i will try again.

Hi @PCcp0110 It's under my fork of 4D-Humans root directory. Also, I have an updated version of PR under review now. It's user-friendly now, which you could find it in this branch: https://github.com/Leoooo333/champ/tree/feature/data_process

Please refer to #61.
If any questions, reopen issue please.


fix: withdraw spl without receiver ata

Remove rent payer logic with withdraw spl and add log but still succeed tx so it can be parsed on zetaclient

Codecov Report
Attention: Patch coverage is 0% with 13 lines in your changes missing coverage. Please review.

Project coverage is 7.32%. Comparing base (2c18683) to head (623fdf8).

Files with missing lines
Patch %
Lines

programs/protocol-contracts-solana/src/lib.rs
0.00%
13 Missing :warning:

Additional details and impacted files
@@           Coverage Diff            @@
##            main     #65      +/-   ##
========================================
+ Coverage   6.53%   7.32%   +0.79%
========================================
  Files          1       1
  Lines        398     355      -43
========================================
  Hits          26      26
+ Misses       372     329      -43

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.


Fixes react native beta 5 break

Summary: This fixes an error that shows up when building with Xcode 10 beta 5.
Reviewed By: dinhviethoa
Differential Revision: D9086574

Warnings

:warning:

:clipboard: Test Plan - This PR appears to be missing a Test Plan.

:warning:

:clipboard: Release Notes - This PR appears to be missing Release Notes.

  Generated by :no_entry_sign: dangerJS


SQLError: no such column: asset_longname

https://counterparty.sentry.io/issues/6070355395/?notification_uuid=352d9611-64c5-4912-b7c0-a985d923275f&project=4507062633365504&referrer=escalating_activity-email

Was a migration problem. Solved in the server.


Pref: default torrent file handler

Before, the app made itself the default torrent file handler automatically, pissing off some of our users. Now, it's not by default, and you can change it in the prefs.
Fixes #367

@feross @diimdeep @mathiasvr

LGTM 👍

I think the program should initially associate with the .torrent extension but not make itself the default handler, that should be up to the user through the OS. For .magnet links I would add a button that makes WebTorrent the default handler when clicked and not every time it is started.

@mathiasvr The menu label is misleading. This preference affects both .torrent and magnet handling.
On macOS, the .torrent association is automatic (defined in Info.plist). So if there's no other handler, WebTorrent will be default. If there's another default, then the user can still use "Open With..." to select WebTorrent.
On Windows / Linux, the current situation (after this PR) is that WebTorrent does nothing until the preference is toggled. This is not ideal -- thanks for pointing this out.
With this change, now the .desktop file will not get installed on Linux systems until the user toggles the preference option. But that file is needed for the app icon to show up correctly in the Unity launcher, and to support pinning etc.
I think we need to change handlers.js to distinguish between installing handlers and making WebTorrent the default.

install: associate with .torrent (but not as the default program), i.e. install .desktop file (linux), add to registry (windows)
makeDefault: become default .torrent handler, register magnet handler (there can only be one)
removeDefault: give up .torrent handler, unregister magnet handler
uninstall: only used by the Windows program uninstaller to completely clean up registry entries, never called on Mac or Linux

@dcposch Does that seem reasonable to you?

Let's move discussion to this new issue so we don't lose track of it: https://github.com/feross/webtorrent-desktop/issues/773

Released in WebTorrent Desktop v0.11!


Fixed profile page refreshing issue

What does this PR?
Where should the reviewer start?
Steps to reproduce
Issue number
Screenshots/Video

@mistikk has conflits

@ue updated


Adding more tests for t2star

Summary
Added more tests for T2*.
Details and comments
Test that concatenates two experiments.

Ready for review

It's mixed with #83. Does it mean that #83 should be ignored, and this one should be regarded as a bug fix combined with adding tests?

I based this PR on the fix in #83. I think it would be best to first merge 83, and then I will update this PR.

Ready for final review and merge.

When I remove this change, as you suggest, I get the failure
qiskit.exceptions.QiskitError: 'Existing ExperimentData contains data from a different experiment.' It fails on the test test_t2star_concat_2_experiments because the type of the first experiment is recorded as None.
Same as described in issue #124. Please suggest how to resove.

As @yaelbh pointed out in that issue it's because of a typo in the run method looking for key "experiment_data" which should be "experiment_type".  What I am saying is that field doesn't even need to be in metadata in the first place since it can instead be checked using experiment_data.experiment_type instead.

Removed my two changes and corrected as suggested by @yaelbh in #124.

I think this PR can be merged.


invalid geometry and unable to submit order with valid idlist

Hi Sam, reopening this after trying to order while clipping again
When I run this
(v2-cloud)~/cloud-free-planet/notebooks$ porder order --name test-tile_fourth --idlist ~/cloud-free-planet/notebooks/test_fourth_ids.txt --item PSScene4Band --asset analytic_sr --boundary test_tile_fourth.geojson --op clip email
Could not parse geometry
{"field":null,"general":[{"message":"Unable to accept order: geojson: invalid geometry"}]}

There's no order url that is printed so I can't check the error message as you suggested. I tried to run without clipping:
(v2-cloud)~/cloud-free-planet/notebooks$ porder order --name test-tile_fourth --idlist ~/cloud-free-planet/notebooks/test_fourth_ids.txt --item PSScene4Band --asset analytic_sr --boundary test_tile_fourth.geojson
Order created at https://api.planet.com/compute/ops/orders/v2/268eb482-0622-4373-aaf6-4f75fea64c61 and url copied to clipboard

But I get this error when I check the url
{
"_links": {
"_self": "https://api.planet.com/compute/ops/orders/v2/268eb482-0622-4373-aaf6-4f75fea64c61"
},
"created_on": "2019-02-19T22:19:26.462Z",
"error_hints": [
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)"
],
"id": "268eb482-0622-4373-aaf6-4f75fea64c61",
"last_message": "Order resulted in 0 assets",
"last_modified": "2019-02-19T22:20:23.603Z",
"name": "test-tile_fourth",
"order_type": "partial",
"products": [
{
"item_ids": [
"20180703_095732_1015",
"20180610_095739_1008",
"20180606_104025_0f3c",
"20180602_095704_1018",
"20180602_104029_1053",
"20180601_104054_0f46"
],
"item_type": "PSScene4Band",
"product_bundle": "analytic_sr"
}
],
"state": "failed",
"tools": [
{
"bandmath": {}
}
]
}

I thought this might be because I included the --boundary option without specifying --op clip (not sure if these are dependent on each other. But when I run this without the boundary option or clipping
(v2-cloud)~/cloud-free-planet/notebooks$ porder order --name test-tile_fourth --idlist ~/cloud-free-planet/notebooks/test_fourth_ids.txt --item PSScene4Band --asset analytic_sr
Order created at https://api.planet.com/compute/ops/orders/v2/672a85c9-585e-4c65-af4c-6f2767eddbcb and url copied to clipboard

I get the same error as above
{
"_links": {
"_self": "https://api.planet.com/compute/ops/orders/v2/672a85c9-585e-4c65-af4c-6f2767eddbcb"
},
"created_on": "2019-02-19T22:20:55.481Z",
"error_hints": [
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)",
"There are no result bands produced, operation fails. (code: FAILURE_CODE_INVALID_INPUT Bandmath_v1)"
],
"id": "672a85c9-585e-4c65-af4c-6f2767eddbcb",
"last_message": "Waiting for per-bundle operations to complete. Running 0, Succeeded 0, Failed: 6",
"last_modified": "2019-02-19T22:21:47.901Z",
"name": "test-tile_fourth",
"order_type": "partial",
"products": [
{
"item_ids": [
"20180703_095732_1015",
"20180610_095739_1008",
"20180606_104025_0f3c",
"20180602_095704_1018",
"20180602_104029_1053",
"20180601_(v2-cloud)~/cloud-free-planet/notebooks$ porder order --name test-tile_fourth --idlist ~/cloud-free-planet/notebooks/test_fourth_ids.txt --item PSScene4Band --asset analytic_sr
Order created at https://api.planet.com/compute/ops/orders/v2/672a85c9-585e-4c65-af4c-6f2767eddbcb and url copied to clipboard
104054_0f46"
],
"item_type": "PSScene4Band",
"product_bundle": "analytic_sr"
}
],
"state": "running",
"tools": [
{
"bandmath": {}
}
]
}

Here is my geojson
{
"type": "FeatureCollection",
"name": "test_tile_fourth",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
"features": [
{ "type": "Feature", "properties": { "id": 0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -0.831053947078279, 5.733240915104465 ], [ -0.815377541344895, 5.733079073869626 ], [ -0.815323594266615, 5.709838158765161 ], [ -0.831, 5.71 ], [ -0.831053947078279, 5.733240915104465 ] ] ] } }
]
}

I'm not sure what to make of the error, especially since the idlist was created successfully. Here's what I used to create the idlist
(v2-cloud)~/cloud-free-planet/notebooks$ porder idlist --input "/home/rave/cloud-free-planet/notebooks/test_tile_fourth.geojson" --start "2018-06-01" --end "2018-08-31" --item "PSScene4Band" --asset "analytic_sr" --number 10000 --outfile "/home/rave/cloud-free-planet/notebooks/test_fourth_ids.csv" --cmin 0 --cmax .5 --overlap 100

Any help or suggestions are appreciated, thank you! Let me know if I can provide more info.
Originally posted by @rbavery in https://github.com/samapriya/porder/issues/5#issuecomment-465336949

Hey @rbavery thanks for pointing this out, I added bandmath function yesterday and that added an empty json to the payload. I have now made it conditional so that it does not add if there is no bandmath operation. If you do upgrade to porder 0.1.8 which I released like a minute ago, it should take care of the issue.

And also @rbavery you are right --boundary and --op clip have to be used together

Thanks a bunch!
On Tue, Feb 19, 2019, 3:07 PM Samapriya Roy<EMAIL_ADDRESS>wrote:

And also @rbavery https://github.com/rbavery you are right --boundary
and --op clip have to be used together
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extract events from the discharged_concept_id field of the visit table with the correct time

We want to extract discharged_concept_id as a separate event from the visit table. This will be important for identifying hospital discharge events when using ACES.

@ChaoPang  Simply merge this when you are ready


Someone under the login Digital Bay Inc deleted most countries' frames at around 0400 June 9.  They also renamed the file.  I have restored the previous latest version from June 8th evening.  Any ideas how / why this happened?

Thank you. No idea why. This is always a risk.
I try to back these up on another file periodically.

This has happened again.  This time though it's taken me longer to notice.  Culprit this time is Tomas Krause.  Date when deleted seems to be 2 May.  Should we restore the 26 April version?

Would be great if this could be restored please.

Restored! Thanks for the flag

On 23 May 2023, at 13:16, Marcel @.***> wrote:
Would be great if this could be restored please.
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Adding slot machine background to make it more user appealing

https://img.freepik.com/premium-photo/luck-success-casino-when-playing-casino-slot-machine_124507-54652.jpg

Do you have some more options for the images ?, also we'll need to reduce image's opacity if we consider adding it

@EternoSeeker you can provide me an image whichever you like, I will reduce the opacity and apply the background ^^

https://www.freepik.com/free-ai-image/spinning-roulette-wheel-brings-vibrant-nightlife-fun-generative-ai_42212821.htm#page=2&query=slot machine background&position=5&from_view=search&track=ais

Sorry for using the term opacity, I meant the brightness of the image shall be reduced and the text should be made white for it to look readable


Making the redirect to the management console work from within docker compose.

This makes use of a construct called host.docker.internal I think this is cross platform but we will need to verify this. The host docker internal directive is what allows bridging the network to the host network without leveraging something like NAT.
Longer term we may want to think about HAPROXY or NGinx or one of those.
I also made the containers depend on one another.  So the iridium container now depends on the mariadb container.  Without this on my machine the api was coming up first and it was causing quite a few exceptions.

@joshfischer1108 let me know how you would like to handle pulls.  Reviews etc. . .
I'm open to any and all input.
cc: @timgrein


subctl gather stores sensitive information that must be redacted (tokens & IPSEC PSK, API URLS?)

What happened:
subctl gather is designed to grab all neccesary information in submariner to raise a bug, but
that doesn't mean that a customer may want to share all his credentials & connect information
with us.
What you expected to happen:
PSK, Tokens & possibly URLS must be redacted in the output files.
An easy solution could be a 2nd pass of figuring out those details, and then doing replaces on all generated files for
$PSK ->  ##redacted##
$TOKEN -> ##redacted##
$API endpoint -> ##redacted##
I would make this disableable (--include-sensitive-information ? ) so the users can provide that information
if they want/need too and there's a good reason for that.
How to reproduce it (as minimally and precisely as possible):
subctl gather

[majopela@bluehat submariner-20210416092718]$ egrep -e "PSK|TOKEN" -A 1 submariner-*/*
microk8s-cluster1_daemonsets_submariner-operator_submariner-gateway.yaml:        - name: BROKER_K8S_APISERVERTOKEN
microk8s-cluster1_daemonsets_submariner-operator_submariner-gateway.yaml-          value: eyJhbGciOiJSUzI1NiIsImtpZCI6InI3TDlobDVwVkhQeEZ0THo2QmlObEVUZ0lFTnMtbDVkTXJ6cXVJZDdaZXcifQ.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.WCRBDSKKzFaopCagsmDDmqFSv1Sf28yt1AlnNDOS7WMVvK152bnN4JzlgcYG8dDlp3xjktsth3WEa4uLGmBHEspviHL9wsTQzUoYFgK9GW0TFXbezRg8VHUN7gjxVZmfPvjYqZJFyR1dSprtVlS3iM6zF6hLSZUJFkLehZ-tVKq30s92Y_-Q0Rs3_GkgyR1JBMxbNkEgR7HI4Zps6Q7MZ_zQZDhF10J0uy60I9aQTOTZPp46S_J-2ve00p4AWKEvyAUQz_FNEhJn2IZj1AIFAsaEBvWBh2H46HMfVrm7w1adx8Rp8vAU2qAXHitv4Qg8Dsf4qVAFGKcXoZw11i12yQ
--
microk8s-cluster1_deployments_submariner-operator_submariner-lighthouse-agent.yaml:        - name: BROKER_K8S_APISERVERTOKEN
microk8s-cluster1_deployments_submariner-operator_submariner-lighthouse-agent.yaml-          value: eyJhbGciOiJSUzI1NiIsImtpZCI6InI3TDlobDVwVkhQeEZ0THo2QmlObEVUZ0lFTnMtbDVkTXJ6cXVJZDdaZXcifQ.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.WCRBDSKKzFaopCagsmDDmqFSv1Sf28yt1AlnNDOS7WMVvK152bnN4JzlgcYG8dDlp3xjktsth3WEa4uLGmBHEspviHL9wsTQzUoYFgK9GW0TFXbezRg8VHUN7gjxVZmfPvjYqZJFyR1dSprtVlS3iM6zF6hLSZUJFkLehZ-tVKq30s92Y_-Q0Rs3_GkgyR1JBMxbNkEgR7HI4Zps6Q7MZ_zQZDhF10J0uy60I9aQTOTZPp46S_J-2ve00p4AWKEvyAUQz_FNEhJn2IZj1AIFAsaEBvWBh2H46HMfVrm7w1adx8Rp8vAU2qAXHitv4Qg8Dsf4qVAFGKcXoZw11i12yQ
--
microk8s-cluster1_submariners_submariner-operator_submariner.yaml:  ceIPSecPSK: 6SqROYeI3erGPOXtfNLkygCn3E8JORJ5j6UYguWTuNKlJvqomEpaKroXvrSBL7L+
microk8s-cluster1_submariners_submariner-operator_submariner.yaml-  clusterCIDR: <IP_ADDRESS>/16

Anything else we need to know?:
Environment:

Submariner version (use subctl version):
Kubernetes version (use kubectl version):
Cloud provider or hardware configuration:
OS (e.g: cat /etc/os-release):
Kernel (e.g. uname -a):
Install tools:
Network plugin and version (if this is a network-related bug):
Others:

This is an interesting issue. In my experience, IP addresses and hostnames are also sensitive for some clients, specifically government and financial institutions. Some would send logs/files with the sensitive info redacted - a whole or partial file. Others would not send any files - you had to get on a call and have them read it to you line-by-line.


Add an option to verify the flash contents after flashing

See:
https://github.com/espressif/esptool/blob/f37f38433786f73d8a8274b146859ac9955ac1e7/esptool/cmds.py#L1054-L1092

It would also be nice if we had the option to save a partition to a file. If verification requires reading back from flash, it probably shouldn't be very hard to add either function if the other exists :)

Related esptool docs: https://docs.espressif.com/projects/esptool/en/latest/esp32/advanced-topics/serial-protocol.html#verifying-uploaded-data


Inter

@besSveta , as we are aiming at migration to minimal metta, we have to make some preliminary changes to metta-motto: interpret is replaced with evaluate_atom, and function is now taken by stdlib, so we need to use Function. Also, MettaAgent is renamed to MettaScriptAgent, since it doesn't run with the persistent space.


Support lookups on objects_represented that aren't PositiveIntegerFields named "id"

Per the "Primary key type compatibility" section, it feels like we should be able to support other pk types using get_db_prep_value():
https://docs.djangoproject.com/ja/1.9/ref/contrib/contenttypes/#django.contrib.contenttypes.fields.GenericForeignKey.for_concrete_model

We might want to reconsider this, @chazeah:

It requires some ugly hacks (please see https://github.com/FundersClub/django-papertrail/compare/feature/varchar-related-ids).
I don't know if these impose any significant performance penalties or not - I can look into it, but there's a chance they do.
Since one of the hack uses Func it means we'll need to drop Django1.7 support (fine by me).

Other than our internal apps which (made the mistake, in my opinion - not only it surfaces issues such as this, but it is also significantly more expensive to store/compare) of using non-standard primary keys, we haven't seen a demand for this.

As the primary maintainer of papertrail, I look to you for a strong opinion on whether this change introduces unnecessary complexity and overhead. It definitely complicates things, and for only a small upside. Defer to you on path forward.

Going to skip this for now. If a justified need arises in the future I'll re-evaluate. I don't feel like such a need has been demonstrated at this point.


SP List Column Formatting |  Days from today to date | Color code

Hi all,
Thanks in advance for all their good help.
What Kind of Sample: column format
I have a personnel competency list as a SharePoint List.
Sample Description:  what should it do
My goal is to: Get all cells with dates color coded based on how long since the date is from today's date.
I have found that this can be solved with a smart JSON script. :)
Unfortunately, I'm in uncharted waters when it comes to JSON.
Are you Willing to Help?: Yes
I now hope that some of you have some smart examples I can learn from and edit as needed.
Best regards
OttarLM
Norway

Hi OttarLM,
please check the question and response here https://github.com/pnp/sp-dev-list-formatting/issues/285
I think it will be similar to your request

Hi OttarLM,
please check the question and response here https://github.com/pnp/sp-dev-list-formatting/issues/285
I think it will be similar to your request


State filtering

In event location, you can filter by city name but not state name. Need to be able to filter by state name (or partial name)

Modified sproc:
Event.CadreAssignmentsSearch
Event.CadreAvailableSearchAllByCadreId
Event.EventCadreUnpublishedSearch
Event.EventImportSearch
Event.EventMozuUnpublishedSearch
Event.EventSearch
Report.EventCompletionAudit
Report.EventRosterSearch
Report.UpcomingEventsSearch


F12 does not open DevTools on Windows 7

I've been trying version 1.1.0 of electron-debug with version 1.4.13 of Electron, and hitting F12 in the packaged app on Windows 7 seems to do nothing.  Ctrl-shift-I and the other shortcuts work, but not F12.  F12 does, however, work on macOS.
I'm wondering if the F12 shortcut is more tightly coupled to the Electron shell in Windows compared to Mac, and so it's interfering with the key handling.

I can't get anything to work :disappointed:
I am using Linux but also using Oracle's VMBox to run Window 7 Pro inside.
When I build an exe for Windows none of the key shortcuts work, not even F12

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Problem When Sending Videos

I'm having trouble when sending Videos and Files to my Tickets!

Is there a way to send videos?

Maybe it could be solved if you add this to the .env file (on the backend):
CHROME_BIN=C:\\Program Files\\Google\\Chrome\\Application\\chrome.exe
Change the route if you have another OS (not windows), it must point to the Chrome binary, not to Chromium

It worked, thank you so much!!!!!! 🎉🎉


swift build fails to build SwiftPM

Is it reproducible with SwiftPM command-line tools: swift build, swift test, swift package etc?

[X] Confirmed reproduction steps with SwiftPM CLI. The description text must include reproduction steps with either of command-line SwiftPM commands, swift build, swift test, swift package etc.

Description
CONTRIBUTING.md says that with the SwiftPM code cloned it could be build with running swift build.
Running swift build fails with error error: Dependencies could not be resolved because root depends on 'swift-argument-parser' 1.4.0..<1.5.0 and 'swift-driver' depends on 'swift-argument-parser' 1.0.1..<1.1.0..
This part of fixing Package.swift before building is not reflected anywhere in the documentation.
After fixing Package.swift with setting  'swift-argument-parser' to version 1.0.3, the latest before 1.1.0, swift build fails with multiple compile errors.
Expected behavior
I expect swift build recommended for building in the documentation to build latest main branch successfully. If swift build couldn't or shouldn't be used for building SwiftPM, documentation should be fixed.
Actual behavior
swift build fails
Steps to reproduce

clone this repo or update main
run swift build inside swiftpm folder

Swift Package Manager version/commit hash
da65429043cb0a5151bdd5e9666df770dfbc72a5
Swift & OS version (output of swift --version ; uname -a)
swift --version ; uname -a
swift-driver version: 1.115 Apple Swift version 6.0 (swiftlang-<IP_ADDRESS>.10 clang-16<IP_ADDRESS>)
Target: arm64-apple-macosx14.0
Darwin VV-LIN-MBP.local 23.6.0 Darwin Kernel Version 23.6.0: Mon Jul 29 21:14:21 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T8103 arm64

Could you try a swift package update? I wonder if you have old versions of the dependencies in your global cache.

Could you try a swift package update? I wonder if you have old versions of the dependencies in your global cache.

That did the trick! After swift package update both swift build and building inside Xcode succeed. Thank you very much!


JSON validator

We should consider building a JSON validator that can do the following:

Verify it's a valid JSON.
Also, look for a specific element in JSON, e.g.:  results[].account_number = 12121412

Something like this will make it easy to test APIs.

We can probably use jq like syntax to specify JSON queries. Here is a pure Go implementation of jq that we can use: https://github.com/itchyny/gojq

Once we add something like this, we can probe and verify most of the APIs without writing any code at all, just by using HTTP probe type:

For authentication we can use an external program that fetches the access token (program itself could cache token on a file) and call it through Cloudprober's OAuth config's cmd option.
To verify the output just add a JSON validator proposed here.

Example jq filters:
<json_string> | gojq '.results[] | select(.tradability = "tradable") | .id'
<json_string> | gojq '.results[] | select(.cumulative_quantity|tonumber > 5000) | .id'
Following return true or false, depending on if one of the result's side is buy or not:
gojq '[.results[].side] | any(index("buy"))'

This is done through #194. See https://github.com/cloudprober/cloudprober/blob/master/validators/json/json_test.go for some examples.


Some questions about porting collections editors

All text down here are not actual. I've got that I need connect Microsoft.DotNet.DesignTools.Client.Editors.CollectionEditor with Microsoft.DotNet.DesignTools.Editors.CollectionEditor some how...
I will update or close this later...

First of all if the editor inherited from System.ComponentModel.Design.CollectionEditor then designer not work at all - no elements in the editor. There is a connection between the client and the server - in the debugger I can see that editor instances are created, but they are always empty. I think it's because the old CollectionEditor doesn't know anything about the proxy object (which is passed as a type to the constructor) - am I right?
If I change System.ComponentModel.Design.CollectionEditor with Microsoft.DotNet.DesignTools.Client.Editors.CollectionEditor (with some modifications of course) - the items will appear.
So, because I have no choice, I continue with Microsoft.DotNet.DesignTools.Client.Editors.CollectionEditor...
And here we have plenty of questions...
In old (System.ComponentModel.Design.CollectionEditor) we have this methods (which are not in the new):

protected virtual bool CanRemoveInstance (object value);  - We can bypass it some how.

protected virtual object SetItems (object editValue, object[] value); - Big problem. How to deal with items removal? I need to do some actions after item is removed - don't know hot to do it in new editor :(

protected virtual Type[] CreateNewItemTypes (); - How to deal with complex collection editor with many different classes in it? In old one If we override Type[] CreateNewItemTypes (), we will have NewItemTypes return our types, and UI changed like this:

In new CollectionEditor we have no CreateNewItemTypes () at all, but we have NewItemTypes 🤔
How to achieve this functionality with new designer? How we can add multiple types to
protected virtual object? CreateInstance(Type itemType);

I understand, that in 99% cases we will have no this types in client. But may be do something similar but with strings, or objects, something else?
protected virtual string[] CreateNewItemTypes ();

protected virtual object? CreateInstance (string itemType);

Ui will change like it was in .Net Framework and in CreateInstance(string itemType) we will try to get this type proxy through endpoint from server base on string name (at the moment I don't quite understand how to do this)?
And this again crossing with point 2. from https://github.com/microsoft/winforms-designer-extensibility/issues/4...

Collection editor sample here: https://github.com/KlausLoeffelmann/NetControlDesigners/tree/main/src/Samples/Previous Versions/Sophisticated - CollectionEditor again is over complicated :(
And based on my experience with the rest of the editors, I think there must be a way to solve problems above without such complications. And if not, then we definitely need away to do it :)

Yes, all become clear now.


How can I use no_repeat_ngram_tensor when using Inflight Batch to control the repetition problem？

`
def logits_post_processor(self,req_id: int, logits: torch.Tensor,
ids: list, stream: torch.cuda.Stream):
cuda_stream = torch.cuda.Stream(
stream_id=stream.stream_id,
device_index=stream.device_index,
device_type=1,  # == kCUDA
)
with torch.cuda.stream(cuda_stream):
current_input_ids = torch.tensor(ids, device=logits.device).unsqueeze(0)
logits_processor = NoRepeatNGramLogitsProcessor(no_repeat_ngram_size=8)
scores = logits_processor(current_input_ids, logits)
logits.copy_(scores)
ir = tb.InferenceRequest(i,self.logits_post_processor)
`
Now I use the custom logits_post_processor callback function to control repetition, but it is certainly too slow and inefficient to control with custom python code.
What interface should I use to control n-gram reapeat, rather than  repetition_penalty? @lukeyeager @aaronp24 @Superjomn @aflat @seanprime7

The feature is not exposed now. We will support it soon.

Hi @huangizi do u still have further issue or question now? If not, we'll close it soon.


Add uriToId() to all other methods

I'll need to make some changes to some of the Request tests because they ping the Spotify API which now requires access tokens for all requests. I'll merge this as soon as I'm finished!

Closed in e71daebdc7204ed9d2c704e2f5bfe0798ae3da60.
Thanks for contributing! 🎉
(And sorry for the delays)


fix toggling field not capturing click some times

What changes are proposed in this pull request?
Fixes an issue where toggle field does not register click sometime if you move cursor right after click a field or checkbox.
How is this patch tested? If it is not, please explain why.
Visually inspected to ensure clicking and moving the cursor away is registered as toggle but drag or selection is not.
Release Notes
Is this a user-facing change that should be mentioned in the release notes?

[x] No. You can skip the rest of this section.
[ ] Yes. Give a description of this change to be included in the release
notes for FiftyOne users.

(Details in 1-2 sentences. You can just refer to another PR with a description
if this PR is part of a larger change.)
What areas of FiftyOne does this PR affect?

[ ] App: FiftyOne application changes
[ ] Build: Build and test infrastructure changes
[ ] Core: Core fiftyone Python library changes
[ ] Documentation: FiftyOne documentation changes
[ ] Other

Thanks @benjaminpkane for the suggestion! I have updated to just onClick.


Fix ResourceStatus serialization bug

ResourceStatus serialization/deserialization could infinitely recurse in some cases. There's not a simple way to ask the serializer to do default serialization (without the converter to avoid recursing), so it takes a little more code to handle it explicitly while respecting other serializer options.
After reviewing other converter classes, I updated the TunnelAccessControl converter to better respect serializer options.
Implicit conversions between ResourceStatus and ulong simplify status-reporting and testing code.

Are there unit tests?

Do we need to also change other SDKs in go, java, ts?

Are there unit tests?

Not here, but I wrote status-update tests in the service repo that cover this code (not yet shared in a PR), which is how I found the bug.

Do we need to also change other SDKs in go, java, ts?

No. Go and Java custom serializers don't have this problem. TS doesn't really deserialize since the type is a representation of the actual JSON structure.


TPSTFP-55-new-mapping-file-version-1.12

add new version of MITRE mapping

name of the excel file unchanged, so that AuditTAP still works with the new file.


Code completion confused by completing field name before constructor declaration

Start with the following file:
class C {
  final Stri
  C();
}
Place the cursor at the end of the line "final Stri" and request completions.
Expected result: the only completions shown should begin with "Stri", e.g. "String" or "StringBuffer".  If "String" is chosen, the line should complete to "final String".
Observed result: a vast array of irrelevant completions are shown, such as "const", "dynamic", "AbstractClassInstantiationError", etc.  If "String" is chosen, the line completes to "final StriString".
Commenting out the line "C();" works around the problem.

Fixed. Please reopen if you find a failing case.


go bump to 1.17, add docker-compose

Thanks for the wonderful example on xkcd search. I have made the following two changes to keep it up-to-date and easy for beginners

Bumped go version to 1.17
Added docker-compose which includes elastic server setup

Since this is a community submitted pull request, a Jenkins build has not been kicked off automatically. Can an Elastic organization member please verify the contents of this patch and then kick off a build manually?

LGTM


Browserify, uglify, es6

Changes

Support for ES6
Minimization with uglify
Browserify for using modules (incl. npm) on client-side

:(


[RFC] Future of gpus/ipus/tpu_cores with respect to devices

Proposed refactoring or deprecation
Currently we have two methods to specifying devices. Let's take GPUs for example:

The standard case that we've all grown used to and are mostly aware of.

trainer = Trainer(gpus=2)

Introduced in 1.5, tries to make the number of devices agnostic. This means if you specify accelerator='tpu' we automatically know to use 2 TPU cores.

trainer = Trainer(devices=2, accelerator='gpu')

Recently, it has come up in https://github.com/PyTorchLightning/pytorch-lightning/pull/10404#discussion_r744562512 that we may want to deprecate and prevent further device specific names from appearing in the Trainer (such as hpus).
Related conversation https://github.com/PyTorchLightning/pytorch-lightning/issues/9053#issuecomment-904239610
I see two options:
🚀 We keep both device specific arguments (gpus tpu_cores ipus for the Trainer) and devices
👀 We drop gpus tpu_cores ipus in the future and fully rely on devices. (Potentially this would likely be done in Lightning 2.0, instead of after 2 minor releases)
cc @kaushikb11 @justusschock @ananthsub @awaelchli

IMO we should follow the contributing guidelines: https://github.com/PyTorchLightning/pytorch-lightning/blob/master/.github/CONTRIBUTING.md#main-core-value-one-less-thing-to-remember
Having multiple options in the public API to do the same thing is really confusing.

+1, totally agree
Current device related flags are confusing. Multiple flags partially overlap and interfere each other. When multiple flags passed in, we define prioritize and ignore some of the flags.
For example:
gpu=2, device=3 device will be ignored.
gpu=2, cpu=2, accelerator=cpu what will happen? I think cpu with num_process=2?
I prefer option 2, drop gpus, tpu_cores,  ipus in the future and fully rely on devices
And  can we have devices  be int, not set =auto?
With this option accelerator flag for device_type, devices (probably rename to devices_num?) for device_number. It's also scalable for new device types like hpus

I think going from this:
Trainer(gpus=2)

to
trainer = Trainer(devices=2, accelerator='gpu')

is a major step backwards in usability. now users have to dig into docs to understand how to use things. it definitely violates the "one-less-thing-to-remember" part of the API.
I guess, I'm just wondering why we're exploring this? I thought we were already pretty stable on the device API stuff

@williamFalcon The more kinds of accelerators we get, the more flags we will also have. Switching from Trainer(gpus=8) to Trainer(tpu_cores=8) also requires users to dig through the docs. Actually I find it easier to have Trainer(devices=2, accelerator='gpu'/'tpu') as the flags stay the same, it is easier to remember and also scaling better. So personally this would be the "one-less-thing-to-remember" for me.
Also I suspect, we would likely have the accelerator defaulting to 'auto' then which means that Trainer(devices=8) would run on gpu if available, on tpu if available and if no special accelerator is available it would fall back to cpu.

@williamFalcon As @justusschock shared, the previous approach doesn't scale well and makes exploration confusing.
Furthermore, the new API provides an auto as follows:
Trainer(devices="auto", accelerator="auto")

which would make the code runnable on every hardware without any code changes. Which isn't possible with the previous API.

To address the discoverability issue, isn't it common to import the Trainer and see what parameters are available? Isn't this more common that going to the docs to find the parameter?
I opened the issue as I felt it was important as a community we come to an agreement as the idea was floating around a few PRs (with inconsistent agreement). It's important to have one single direction here (especially as we introduce other accelerators). I do strongly disagree with removing gpus/tpu_cores/ipus/hpus/cpus from the Trainer for primarily ease/discoverability.
I think it would be beneficial to try get community votes on this, so maybe a post on our General slack channel is warranted?

Even something like gpus as lightning defines them today is ambiguous. PyTorch also supports AMD GPUs: https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-available-as-python-package/
But this isn't supported at all with Lightning because gpu assumes nvidia/cuda, whereas PyTorch's device allows for more backends.
In my head the accelerator in Lightning maps to the pytorch device being used. So why don't we preserve the same semantics PyTorch already offers for this to smoothen the transition and keep parity?

Adding to the conversation. In this issue, a user is requesting MIG instead of GPUs for A100 like a machine: https://github.com/PyTorchLightning/pytorch-lightning/issues/10529

@tchaton do we have a consensus to move forward with this issue?

Maybe thought that is a bit different there.
Going back to @williamFalcon argument that:
Trainer(gpus=2) to Trainer(devices=2, accelerator='gpu') is more work for the user.
My question here is that as far as I understand a correct me if I am wrong you have CPU and then either gpu/tpu/hpu/...
That is why you can have something as follow:
Trainer(devices=2, accelerator='gpu') where accelerator is only one combination.
I also assume that our users "don't" want to care if it is gpu/tpu/hpu.. as their code will remain the same as long as it is not CPU and even if it is CPU PL help you there to make it seamless.
Finally, we can automatically detect what kind of accelerator you have available today with auto.
That being said what if we had a "wrapper" around anything that is non CPU such that we can keep the same structure while making it "easy" for the users.
ie. Trainer(cpus=2,xpus=2) this will automatically find if x is gpu/tpu/hpu.
Then we allow default to be auto ie. Trainer(cpus=null,xpu=null) or could use -1 for example.

To take the pro-Accelerator argument to the extreme (also with the "fractional" devices), how about not splitting devices= and accelerator=?
If instantiating Accelerator all the time is too much of a hassle for @williamFalcon 's taste (I never liked the configuration part of tf sessions, either, and there is a good reason why PyTorch doesn't force you to do device = torch.Device("cuda") all over the thing but will just take "cuda"), how about:
Trainer(devices=2)   # I want two of whatever is available (so GPUs > CPUs in preference, but only the same kind.

Occasions where "casual users" will have TPU GPU and IPU in the same box will be rare enough...
This is breaking because it would make "GPU if available" the default :( (though I never understood why it is not).
For more elaborate configs, one could have
Trainer(devices=Accelerator("cuda", 2))

My apologies for adding another color of shed, but to my mind, there are these cases we want to cater to:

The easy one! Needing to instantiate Accelerator is a bit more API for people to remember than just gpus=.... Personally, I have to concentrate really hard to know how many c and l to put in there, too.
The turbopropower-user:  Would it not be more consistent and flexible to have Accelerator as the single truth about what their thing trains on? I certainly like to consider all my clusters of 512 DGXes for training BERT in 30 seconds a single device...
The unknown future. I think we'll see a lot more blur to "thing the training runs on = n devices of type a" that the proposed API of devices=2, accelerator=... suggests.

Best regards
Thomas

To add to @t-vi comment,
I believe the accelerator could be set to 'auto' by default as it is quite unlikely there is an overlapping machine with both GPUs and TPUs available.
So the hardware is totally abstracted and this provides an experience closer to Jax with their auto platform detection
Trainer(gpus=8) or Trainer(tpu_cores=8)  or Trainer(cpu=8)  or Trainer(hpus=8)  or Trainer(ipus=8) ...

would be replaced directly with:
Trainer(devices=2)

If a user has a machine with a GPU and wants to debug on CPU, he would simply add the accelerator to force the decision-making.
Trainer(devices=2, accelerator="cpu")

By the most critical point is:

I think we'll see a lot more blur to "thing the training runs on = n devices of type a" that the proposed API of devices=2, accelerator=... suggests.

I believe this API would need to provide a smarter hardware detection mechanism for MIG hardware.

Coming from both the High-Performance and embedded spaces, I'll weigh in here with some general thoughts.

Often with large clusters, we have models and/or datasets which can't fit on a single node. If the API says gpus=2 or tpus=2, what control do I have over where those devices are or which devices get used for which parts of the model? Should PTL support this type of deployment at all?

There are certain accelerators I might want to use which are only useful for inference but not training. FPGAs, for example, are really great for low-latency inference, but with the above API, do I have to instantiate a "Trainer" to use a device for inference? This makes little sense to me as a user. Is this something that PTL wants to support? If so, a rework is in order.

There is research being done on heterogeneous architectures which have GPUs, DSPs, etc. available on a single node. The distribution of work and communication between these devices is non-trivial and a scheduling nightmare, but it's not too far off. Virtualized communication technology like CXL and composable infrastructure like Liquid will enable these types of nodes to "exist" in a cloud or on-prem cluster. I think PTL should be forward thinking and have these types of setups in mind, especially if it is to be adopted by the research community as a usable tool.

A "device" as we think of it today (a GPU, a CPU) will likely be upended when in-memory processors come to the mainstream. (What is a "memory" device? How many "cores" does it have? It quickly loses any meaning). What about the Xilinx Versal architecture? It has many compute cores in a dynamic software-defined network fabric connected to an FPGA. It's one "device", but it's also many.

To the above points, I have a couple of suggestions:

The trainer should be agnostic to what it is executing on. It should be the object facilitating and orchestrating the training session (it is a trainer after all), but it shouldn't care what device is on the other end. If it does have knowledge of device-specifics, then as many of the users above pointed out, the API and argument count/complexity will explode if even just a few accelerators become mainstream and anything but basic training strategies are to be supported.

We should have an Accelerator API describing a device, its location, and its features. The average user shouldn't have to use this API at all, or even know it exists, and sane defaults should be set. However, it should be flexible enough to be used for cutting-edge device research. Where this accelerator API fits in the ecosystem is going to need to be decided by the community, but it shouldn't be passed to the trainer because if I have a device which is only for inference acceleration, then it makes no sense to create a trainer.

I am very interested to see where this discussion goes, and I apologize for the ramble.

This discussion has extended to other related points, but to give my opinion the original question, I fully agree with @tchaton's API vision here: https://github.com/PyTorchLightning/pytorch-lightning/issues/10410#issuecomment-972712672.
Where the original gpus, tpus, ... are deprecated and removed.
I don't think adding new options xpus=..., or devices=Accelerator("cuda", 2) should be in the cards anymore, as the new devices=..., format was just introduced in 1.5 and we would be once again deprecating this newly introduced functionality for a different thing. There's no clear winner here and we just need to choose one approach.

do I have to instantiate a "Trainer" to use a device for inference

it shouldn't be passed to the trainer because if I have a device which is only for inference acceleration, then it makes no sense to create a trainer.

Keep in mind that the Trainer has that name since it's been the core part of Lightning since the beginning, but it's way more than a "brainer" and could be thought of as an engine, for example, we have validate, test, and predict which are split from the training procedure

A lot of great inputs! Let me start off by summarizing:
The current API was built when only GPUs were supported. Then TPUs were added. And now a few years later, we live in a world where more alternatives are starting to emerge. This is the current API.
Trainer(gpus=2)
Trainer(tpus=2)

But now, we live in a world where more than GPU|TPU devices are coming out (HPU, etc...). In this case, the proposal is to modify the API like so:
Trainer(devices=2, accelerator='tpu')

Well... we also introduced the 'auto' flag, so the actual default call would look like this:
Trainer(devices=2)

# because Trainer(devices=2, accelerator='auto') is the default

@t-vi also brought up the alternative that there could be a class in the event that configs get unwieldy
Trainer(accelerator=Accelerator("cuda", 2))

@dlangerm also brought up that in certain complex scenarios:

Multinode training (which we've supported from day 1 @dlangerm, and you specify the num_nodes argument). Today we already support selecting many configurations here, so i'm not sure what a relevant usecase is.
Yes, PL already supports inference. We can think about configurations during inference needing a "Trainer" (@tchaton @carmocca maybe "Trainer" needs to be renamed in 2.0)
Heterogenous hardware is an awesome upcoming research challenge that we'll be excited to tackle next year. But today, it's premature until research matures a bit more.
In-memory processors also sound promising. If you know of a real use case, happy to collaborate on working out how to do something like that.
@dlangerm we do have an accelerator API (it's been there since 1.0)... it's just used internally and not exposed to the user.

Decision
So, with all that said, if there's broader community support for moving from:
Trainer(gpus=2)

to:
Trainer(devices=2, accelerator='tpu')

# default is auto
Trainer(devices=2)

Then I'm happy to back this option as it is more scalable and my only concern is "having to only remember one thing"...
So, I'd love to hear more from the community about the effect on usability.
if there are no major quelms about this and everyone's excited, let's roll it out for 2.0
cc @tchaton @carmocca @ananthsub @daniellepintz

I have a question about this; if we want to roll this out for 2.0 when can we start working on it? Could we start working on it now for example?

@tchaton  @awaelchli  @ananthsub What's you guys' thought on when will be the right time for 2.0? Should Accelerator Refactor and stable accelerator be part of the 2.0?
I think it's better to have big changes once. I will prefer having accelerator stable version and the flags addressed in the same version. It's easier to communicate with users and reduce future confusings.

Hey @daniellepintz @four4fish.
Yes, I agree with you both. I don't believe this change requires a Lightning 2.0 as this is a natural evolution of Lightning becoming hardware-agnostic directly at the Trainer level.
IMO, I would like to action this change for v1.6. @ananthsub @awaelchli @carmocca @kaushikb11 @justusschock  Any thoughts on this ?

Agreed. We could go ahead with this change for v1.6, along with major Accelerator refactor.

Given the above decisions, is there a consensus on renaming Trainer to something more appropriate for the "Brain" or "Engine" that is has become?
If these changes are towards a hardware-agnostic API that can be used for either training or inference, Trainer will become very confusing. Even today, creating a Trainer instance to perform Trainer.predict is fairly unintuitive.

@dlangerm this is not really related to this issue, so I won't go into much detail here. Feel free to open a new issue for this discussion.
From my POV, we shouldn't rename the Trainer before 2.0.
Renaming flags is one thing (and we will need to have a pretty long deprecation cycle for those), but renaming the major components as the Trainer or LightningModule would be too much of a breaking change since this could also break the API in all other places as well.

Hey @kaushikb11 I saw you assigned yourself to this issue. I was planning on working on the accelerator_connector refactor (https://github.com/PyTorchLightning/pytorch-lightning/issues/10422) which was blocked by this issue. Am I okay to proceed with accelerator_connector refactor or is that something you were planning on doing?

I am working on this in #11040 - do we also want to deprecate num_processes and num_nodes?

I think num_processes yes, but num_nodes we might still need in case of multi-node training

Got it, thanks!


update owner for jinchihe

What this PR does / why we need it:
Recently focus on fairing and provided lots of PR for Fairing, and delivered some key features, and for now working for Fairing documents and doing more for on-prem cluster with Fairing.
Update owner for better maintain and contribution. Thanks!

This change is

/cc @karthikv2k  @abhi-g


Avoid unnecessary scaling of the view transformation matrix

The opaque region of a weston view is updated only if the alpha value is 1
and the transform matrix is of type WESTON_MATRIX_TRANSFORM_TRANSLATE.
Here opaque region is never updated, as we are performing scaling operations
to the view transform matrix(even when the scaling factor is 1), thus
changing the matrix type to WESTON_MATRIX_TRANSFORM_SCALE.
As a result, views are never opaque and won't be able to place it in
HW planes(forced to use renderer).
Perform scaling of the view transformation matrix only when the scaling
factor is non-zero.

A part of the fix for this issue is in weston's ivi-shell: https://gitlab.freedesktop.org/wayland/weston/-/merge_requests/405

looks good will be merged soon

Hello @efriedrich,
The root cause of the issue was at the HW plane assignment was properly happening due to the unnecessary scaling of the view transformation matrix.
However, the HW plane assignment logic is improved from Weston 8 (https://gitlab.freedesktop.org/wayland/weston/-/merge_requests/267) and now the team reports that the HW plane assignment is happening even without these patches.
I need to review the latest code changes on the Weston side and verify whether the patches are still relevant.
Till then, I would request you to hold the PR merge.

Hello @efriedrich,
As discussed, did a code review of the DRM plane assignment improvements done in Weston 8 ( !267).
Till Weston 8, if we need to place a view on the overlay plane, the view needs to be 1) fully opaque and 2) non-overlapping.
Now with !267, the above two restrictions are taken away.
Yet, we would require the patch for the opaque region to get correctly updated.
        if (view->alpha == 1.0 &&
            matrix->type == WESTON_MATRIX_TRANSFORM_TRANSLATE) {
                pixman_region32_copy(&view->transform.opaque,
                                     &view->surface->opaque);
                pixman_region32_translate(&view->transform.opaque,
                                          matrix->d[12],
                                          matrix->d[13]);
        }

Without the patches:
Layer 3 (pos 0x50000000):
	View 0 (role ivi_surface, PID 2315, surface ID 3, ivi-surface 0x28, 0x2010dc0):
		position: (0, 0) -> (1920, 1080)
		[not opaque]
		outputs: 0 (HDMI-A-1) (primary)
		[buffer not available]
	View 1 (role wl_subsurface, PID 2315, surface ID 11, sub-surface, 0x2041250):
		position: (0, 0) -> (1920, 1080)
		[not opaque]
		outputs: 0 (HDMI-A-1) (primary)
		dmabuf buffer
			format: 0x36314752 RGB565
			modifier: 0xffffffffffffff

With the patches:
Layer 3 (pos 0x50000000):
	View 0 (role ivi_surface, PID 2286, surface ID 3, ivi-surface 0x28, 0x186f9590):
		position: (0, 0) -> (1920, 1080)
		[fully opaque]
		outputs: 0 (HDMI-A-1) (primary)
		[buffer not available]
	View 1 (role wl_subsurface, PID 2286, surface ID 11, sub-surface, 0x186e2260):
		position: (0, 0) -> (1920, 1080)
		[fully opaque]
		outputs: 0 (HDMI-A-1) (primary)
		dmabuf buffer
			format: 0x36314752 RGB565
			modifier: 0xffffffffffffff

@efriedrich: The part of this fix in the Weston side (!405) now merged.


Opentelemetry Operator - Allow to install as subchart

Hi,
when trying to deploy this chart as a subchart, helm automatically injects the global: key into values (to share values across multiple subcharts), which is not allowed as per the values.schema.json (see https://github.com/helm/helm/issues/10392 for more information) .
Is it possible, to allow global as a key in values?

@PhilippWitzmann yes we should add that global and enabled.


[Change Request] Page 6510 "Item Tracking Lines" – New protected variable “SourceQuantityArray”

Could we please have the existing global variable “SourceQuantityArray” be defined as protected variable?
    var
        xTempItemTrackingLine: Record "Tracking Specification" temporary;
        TotalItemTrackingLine: Record "Tracking Specification";
…
        UndefinedQtyArray: array[3] of Decimal;
*** start old code ***
        //SourceQuantityArray: array[5] of Decimal;
*** stop old code ***
        QtyPerUOM: Decimal;
…
    protected var
        [InDataSet]
        ApplFromItemEntryVisible: Boolean;
        [InDataSet]
        ApplToItemEntryVisible: Boolean;
…
*** start new code ***
        SourceQuantityArray: array[5] of Decimal;
*** stop new code ***

    procedure SetFormRunMode(Mode: Option ,Reclass,"Combined Ship/Rcpt","Drop Shipment",Transfer)
    begin
        FormRunMode := Mode;

Thanks for reporting this. We agree, and we’ll publish a fix asap, either in an update for the current version or in the next major release. We will update this issue with information about availability. Please do not reply to this, as we do not monitor closed issues. If you have follow-up questions or requests, please create a new issue where you reference this one.


Export Page, Functionality not working properly

After click export this error appear in console

After run Export count not increase automatically, after page reload its increase

Two Export folders appeared

Exported file is not shown in folder in common documents and no email got regarding this export

Not solve


[dart2wasm] Remove support for package:js and dart:js_util in favor of dart:js_interop and dart:js_interop_unsafe

package:js and dart:js_util is not restrictive enough for our purposes and may lead to unexpected behavior (either due to odd semantics or lack of support) and/or performance cliffs. This will require migrating internal usage, but for now we should treat these two libraries as deprecated for dart2wasm. Support for these libraries will continue on dart2js and ddc until we feel ready to start deprecating and migrating.
This will require migrating any Flutter usages to use dart:js_interop, but we can allowlist existing usages for now and disallow these libraries in dart2wasm for 3.3.
This will also require making sure dart:js_interop reaches parity with package:js and dart:js_util by providing any missing functionalities.
cc @kevmoo

For reference for those viewing the issue, the commit that fixed this the second time was https://github.com/dart-lang/sdk/commit/3a80ec26be56cc2f1e9fe8d89a1d8143d6c24030.
Thanks Srujan! This work will help making migration easier and clearer for developers trying out Wasm compilation.

Thanks! I wish we had Github support to handle reverts and relands (essentially automatically reopening and reclosing the issue), but this is likely pretty complicated to support.


Check for existence of news symlink

When running make docs-html, the build will fail because a symlink exists. This pull request checks for the existence of a good symlink and creates one if it does not exist. Whether it exists or not, an appropriate statement is echoed.

TIL. I actually like that option better. Oh, well, next time.


fix: "builtin-apply-component.cue: file does not exist"

Signed-off-by: clarechu<EMAIL_ADDRESS>Description of your changes
Fixes #
In Windows 10， When running vela-core
"msg"="Reconciler error" "error"="object level reconcile error, type: \"Workflow\", msg: \"open static\\\\builtin-apply-compon
ent.cue: file does not exist\"

I have:

[ ] Read and followed KubeVela's contribution process.
[ ] Related Docs updated properly. In a new feature or configuration option, an update to the documentation is necessary.
[ ] Run make reviewable to ensure this PR is ready for review.
[ ] Added backport release-x.y labels to auto-backport this PR if necessary.

How has this code been tested
Special notes for your reviewer

/test

filepath.Join(templateDir, file.Name()) ==> (static\builtin-apply-component.cue)


Closure compiler flags for advanced optimizations and J2CL_OPTIMIZED_DEFS

Documentation around suggested defines seems incomplete/inaccurate. From https://github.com/google/j2cl/blob/master/docs/best-practices.md#closure-compiler-flags:

For the best results, use J2CL_OPTIMIZED_DEFS which enables all the advanced optimizations:
 load("//build_defs:rules.bzl", "J2CL_OPTIMIZED_DEFS")

 js_binary(
     name = "optimized_j2cl_app",
     defs = J2CL_OPTIMIZED_DEFS,
     deps = [":js_lib"],
 )

However, J2CL_OPTIMIZED_DEFS only contains goog.DEBUG=false: https://github.com/google/j2cl/blob/c6c78be/build_defs/internal_do_not_use/j2cl_js_common.bzl#L85

 J2CL_OPTIMIZED_DEFS = [
     "--define=goog.DEBUG=false",
 ]

Is it accurate to say that this enables all advanced optimizations? Should either that array be updated to include others, or the docs updated to include a more comprehensive list of "defines that enable all advanced optimizations"?
From my list, we also want to add at least these three flags to either the docs or to J2CL_OPTIMIZED_DEFS:

--define=jre.checks.checkLevel=MINIMAL (mentioned on the linked page)
--define=jre.checkedMode=DISABLED (not mentioned on the linked page, but used by gwt's InternalPreconditions and also by https://github.com/google/j2cl/blob/c6c78be/transpiler/javatests/com/google/j2cl/transpiler/optimization/j2cl_optimization_test.bzl#L20)
--define=jsinterop.checks=DISABLED (assuming jsinterop-base is being used)

However, J2CL_OPTIMIZED_DEFS only contains goog.DEBUG=false:

I think the main issue is; the document is written by having internal users in mind. We have a larger list internally but that's mostly covered by ADVANCED optimization which is enabled by default in closure_js_binary. I need to cross check reference app size to see if we are missing any flags.

--define=jre.checks.checkLevel=MINIMAL (mentioned on the linked page)

As noted in the documentation:
"Note that this configuration should be set to same value for both debugging and production in order to detect user code that incorrectly relies on specific exceptions to be thrown."
So this should not to be only set for optimizations hence putting the flag in J2CL_OPTIMIZED_DEFS is not a good idea..
We historically considered this as an opt-in semantic change for both GWT and J2CL. However given that all our users are opting into this, maybe we should just change the default value.

--define=jre.checkedMode=DISABLED

This is a big no; this is not an optimization.
This was not intended to be touched by users but currently might be needed to work around cross-frame issues for development mode only - which we should have a better solution for.

--define=jsinterop.checks=DISABLED

This is already the default.

Okay, I think I must have misunderstood the email which initially suggested some of these to me - I'll remove these as defaults, and make sure to prominently link to the docs to let devs make up their own minds for these.

  --define=jre.checkedMode=DISABLED

This is a big no; this is not an optimization.
This was not intended to be touched by users but currently might be needed to work around cross-frame issues for development mode only - which we should have a better solution for.

Just to confirm, we do expect that this is always driven by goog.DEBUG then?
https://github.com/google/j2cl/blob/fb66a0d/jre/java/java/lang/jre.js#L25-L27
/** @define {string} */
jre.checkedMode =
    goog.define('jre.checkedMode', goog.DEBUG ? 'ENABLED' : 'DISABLED')

This does seem to follow, since superdevmode sets jre.debugMode sets jre.checkedMode in gwt2.

Yes we expect it to be driven by goog.DEBUG.

Thanks for your help on this, one last question (filed here as it is related to this issue, and also because it is in the j2cl-only code in jsinterop-base): in https://github.com/google/jsinterop-base/blob/18973cb/java/jsinterop/base/jsinterop.js#L25-L28 there is a comment which says
// Note that disabling checking only disables it for production.

but between that and https://github.com/google/jsinterop-base/blob/63c2d8d/java/jsinterop/base/InternalPreconditions.java#L31 it doesn't appear that this is only disabled for production, at least not in open source? Should this also be set to enable it when goog.DEBUG is true, as with jre.checkedMode?

IS_ASSERTED is backed by jre.checkedMode which is driven from goog.DEBUG.

Got it, thank you - it is meant to be read "when disabled, these errors will still happen (but as AssertionExceptions instead of ClassCastException), except in production, when they be disabled entirely". I was instead parsing it as something closer to "this type check will be enabled in development, but not in production (like jre.checkedMode)".


The Dirac Equation Near Centenary: a Contemporary Introduction to the Dirac Equation Consideration

Description
More then 35 approaches to the Dirac equation derivation are presented. The various physical principles and mathematical methods are used. A review of well-known and not enough known contributions to the problem is given, the unexpected and unconventional derivations are presented as well. Three original approaches to the problem suggested by the author are considered as well. They are (i) the generalization of H. Sallhofer derivation, (ii) the obtaining of the massless Dirac equation from the M
(Optional:) Please add any files, screenshots, or other information here.
No response
(Required) What is this issue most closely related to? Select one.
References
Internal issue ID
24b1dbc7-0fad-455a-8f95-1b16edeed397
Paper URL
https://services.arxiv.org/html/submission/5847248/view
Browser
Firefox/115.0
Device Type
Desktop

Please contact the authors directly for feedback on the document content.
This repository only tracks reports on the quality of the experimental HTML format.


RO-2932 Remove unused run_tempest.yml

This patch removes the unused run_tempest.yml playbook that is
no longer referenced in rpc-openstack and rpc-gating.
Issue: RO-2932

recheck_cit_artifact it seems there was a download failure during the container build
TASK [haproxy_server : Download HATop] *****************************************

Tuesday 06 February 2018  17:34:04 +0000 (0:00:04.897)       0:00:48.121 ******

</var/lib/lxc/LXC_NAME/****fs/> Because this is a task using "delegate_to" pipelining has been disabled. but will be restored upon completion of this task.

fatal: [/var/lib/lxc/LXC_NAME/****fs/ -> localhost]: FAILED! => {"changed": false, "dest": "/tmp/hatop-0.7.7.tar.gz", "failed": true, "msg": "Connection failure: ('The read operation timed out',)", "state": "absent", "url": "https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/hatop/hatop-0.7.7.tar.gz"}

The CIT/artifact test failure should be resolved by https://github.com/rcbops/rpc-gating/pull/637.

It would appear that the CIT/release job failure is a known issue when doing a PR from a fork. See https://rpc-openstack.atlassian.net/browse/RE-1190 - if anyone has the bandwidth to pick up that work, please do.


test-branch/execute-job/quoted-authorization/b5928827-8e89-4446-b4d5-fccf1c447482

PR for testing 3c116856c46bf66d8c1d91e0c74c9ea03125880c

/canonical/self-hosted-runners/run-workflows 3c116856c46bf66d8c1d91e0c74c9ea03125880c


Fix example publish to PS Gallery - Fixes #187

Pull Request (PR) description
This PR fixes the example publish to PS Gallery by adding the missing environment variable to AppVeyor.yml. Also corrected a minor layout issue in the Changelog.md.
This Pull Request (PR) fixes the following issues
#187
Task list

[x] Added an entry under the Unreleased section of the CHANGELOG.md.
Entry should say what was changed, and how that affects users (if applicable).
[ ] Resource documentation added/updated in the resource folder.
[ ] Resource parameter descriptions added/updated in schema.mof
and comment-based help.
[ ] Comment-based help added/updated.
[ ] Localization strings added/updated in all localization files as appropriate.
[ ] Examples appropriately added/updated.
[ ] Unit tests added/updated. See DSC Resource Testing Guidelines.
[ ] Integration tests added/updated (where possible). See DSC Resource Testing Guidelines.
[ ] New/changed code adheres to DSC Resource Style Guidelines and Best Practices.

@johlju - would you mind reviewing for me? Should be a small one.

This change is

Codecov Report

Merging #188 into dev will not change coverage.
The diff coverage is n/a.

@@        Coverage Diff         @@
##           dev   #188   +/-   ##
==================================
  Coverage   85%    85%
==================================
  Files        8      8
  Lines      853    853
  Branches     1      1
==================================
  Hits       732    732
  Misses     120    120
  Partials     1      1


New Maintainer Needed

As I have decided to rid myself of Tuya devices, I'm going to be stepping away from maintaining this project.  I've enjoyed developing this project and have actively used it to control my Tuya devices for the last few years and I'm happy to see that this project is still widely used.  Unfortunately it takes up too much time, mostly due to the sheer number and variation of Tuya devices and the fact that Tuya continues to make it more and more difficult for users to control those devices locally.
There's nothing inherently wrong with this, and they certainly have that right, it simply means that Tuya devices do not align with my personal goals for my home automation devices and thus I won't be purchasing any more of them and will actively work to remove the last few Tuya devices I have.
If you are interested in maintaining this project going forward, please feel free to post a note below.  In the interim, I will try to at least keep this project working.

Sorry to hear this. Hope someone steps up.
A question: What types of devices do you prefer in place ot the Tuya devices?
It's a shame Tuya wants to make access harder and harder. They should recognize that they can sell more of them if access is more widely available...

Well, to be fair, it was mostly just a side effect of Tuya's decision to allow their app to locally control the devices when the Internet was down that made local control possible in the first place, but then it was considered a "security issue" when people could just figure out how to do it themselves.  So making it harder really amount more to implementing tighter security.  The vast majority of users just connect these thing to Smart Life or whatever app and use them with Google/Alexa, which requires the cloud anyway, so I can't really blame them for not attempting to support those of us attempting to hack the local protocol and control things locally as I'm sure that's a tiny fraction of their buyers.  They have really focused on improving their cloud.
For me, I'm probably going to move away from wifi devices in general and move to Z-wave/Zigbee that I can control locally with my Home Assistant.  I'm not saying I'll never have a Tuya device again, but if I do I will just live with controlling it via the cloud API instead of locally.
If others end up putting in the effort to make better libraries for Tuya (TinyTuya looks interesting, but is Python so not really suitable for tuya-mqtt) it might be possible to continue this project, but I don't have time to maintain this project and deal with all of the underlying Tuya protocol issues as well.  I look at it just like the ring-mqtt project which I maintain as well, in ring-mqtt I use ring-client-api, so I don't deal with all of the changes to the underlying stuff as that's abstracted from me.  The difference is, ring-client-api is actively maintained, while TuyAPI is mostly the same as it's been for years now, sure a few minor things fixed by PRs from others (including myself) but mostly it's just static.  Since I don't have time to maintain TuyAPI, from my perspective I don't see a path forward for this project as it will have more and more devices that don't work or have various issues and most of those issues will be with the client library, not the project itself.

Which lights (rgbcw) are you using now?
Is there anything cheap zwave/zigbee in the pricerange of tuya?

Honestly, I still have a couple of Tuya rgbcw lights, but I just control them via localtuya HA addon, which works great.  The other wifi Tuya bulbs I managed to flash with Tasmota so I can control them locally via MQTT.
I also purchased a few of these:
https://www.amazon.com/Changing-Dimmabel-Multicolor-Assistant-Required/dp/B08QC9P49G/ref=sr_1_6?crid=2MH2X7U5RV9NZ
As far as I can tell these are the exact same Tuya bulbs but use zigbee instead of wifi (Tuya also makes zigbee devices and even sells a zigbee hub).