Newbie in C#

Thank you so much for transcoding this project to c# for Windows. I wanted to use this project for some time on Windows, but I couldnt.
I don't have any experience in C#. Could you help me in the requirements and installation of this project on Windows 10? Any reference would be appreciated.

Thanks for Your feedback! To use the software placed here, it is desirable to have a powerful processor in the first place. To run, download the repository and unzip it. Select the implementation of the work you would like to run and move the corresponding folder to the root of the disk or to the desktop. This is necessary in order to shorten the full path to the executable file and avoid compiler errors. For example, if You want to run Waifu2x, move the StyleTransfer-Colorization-SuperResolution\Enhancing\Waifu2x folder to C:.  After that, go to the folder Waifu2x, find the folder Implemenyation and navigate to it. Run the Compile.bat file and wait a few seconds. You should see a Release folder that contains a single file-a neural network executable file. Run it and follow the instructions in the standard Windows graphical window(all implementations have a graphical interface). If You are using Windows 10, no additional actions will be necessary. Some implementations, such as the Gatis algorithm, can be very slow. I do not recommend using virtual machines, such as VirtualBox or others, as they will run programs at times slower.

Thank you so much for your fast response. I was able to make work the Python version on my Windows. I haven't tried the C# version.
Did you have in C# any advantage in performance?

C# implementations are currently inferior to Python in performance. However, at the moment, work is underway to optimize the code using SIMD-instructions. The main goal of the project is to give the user the opportunity to try neural networks "out of the box" on an ordinary computer.


I did some changes in the README.md

Hello my friend. You are the best. So, I did some changes related with the punctuation.
I appreciate you.

Thanks


Correctly process nullable array docblock annotations.

Would resolve #60

Coverage remained the same at 97.336% when pulling 3f8aa00ec8cffbb8562fc38e719b855c43aedd67 on feature/Fix-nullable-array into fce54a361adf03f9c5d6ca8fbe1567f41cb4d9c3 on develop.

Coverage remained the same at 97.336% when pulling 3f8aa00ec8cffbb8562fc38e719b855c43aedd67 on feature/Fix-nullable-array into fce54a361adf03f9c5d6ca8fbe1567f41cb4d9c3 on develop.


On DT, lambda-tester is broken by better alias preservation

lambda-tester is broken by #51152.
Conditional type instantiation seems to proceed differently for an alias when it was constructed without type parameters that are later defaulted:
type Actual = lambdaTester.Verifier<lambdaTester.HandlerResult<Handler>>
type Expected = lambdaTester.Verifier<lambdaTester.HandlerResult<Handler<any, any>>>

// from lambda-tester's index.d.ts:
type HandlerResult<T extends Handler> = T extends Handler<any, infer TResult> ? TResult : never;
type Verifier<S> = S extends HandlerError<Handler>
    ? (S extends string ? VerifierFn<string>
       : S extends Error ? VerifierFn<Error>
       : never)
    : VerifierFn<S>;
class LambdaTester<T extends Handler> {
    // ....
    expectSucceed(verifier: Verifier<HandlerResult<T>>): Promise<any>;
    // ....
}
// from aws-lambda's index.d.ts:
export type Handler<TEvent = any, TResult = any> = (
    event: TEvent,
    context: Context,
    callback: Callback<TResult>,
) => void | Promise<TResult>;

Actual and Expected are both VerifierFn<string> | VerifierFn<Error> | VerifierFn<any> before #51152. Afterwards, Actual is VerifierFn<unknown>.

@sandersn locally I see both Actual and Expected as VerifierFn<unknown>, at least on main now. It's possible https://github.com/microsoft/TypeScript/pull/51762 "fixed" this by ensuring both behave the same again, by ensuring both have an aliasTypeArguments list. Still, it's definitely weird for it to be VerifierFn<unknown> - it implies something weird with the instantiation ignoring the any type argument default/passed value and using the constraint instead... I'll keep looking into it.

I'll watch https://dev.azure.com/definitelytyped/DefinitelyTyped/_build?definitionId=8&_a=summary to see if lambda-tester passes tomorrow.

Ah, nope, I'm mistaken, my test case was incomplete - the two forms do, in fact, vary - notably, my test was missing an import for Handler, the result of which makes it behave identically to the VerifierFn<unknown> case, which may help indicate what's going on here.

Figured it out - initially thought it was a difference between weather we did alias inference before or not, but while it is related to alias inference, and needing to make alias inference happen here when it wasn't, it turns out we are doing alias inference already, all that changed was the type argument list (specifically, the earlier preserved alias now has an empty argument list, since it relies on default application). So it turns out it's actually an issue to do with not applying defaults to alias type argument lists during inference, and thus skipping inferences caused by type argument list defaults~
Fix looks pretty small. Will have a PR for extended suite checks shortly~


2 factor authentication

I have enabled 2 factor authentication for my account with my phone number, and when I call login method, instagram sends me code on my phone, but login method returns true, and actually client does not login.
any idea for this issue?

2FA implemented yesterday:
login(username, password, verification_code=’<2FA CODE>’)
https://adw0rd.github.io/instagrapi/usage-guide/interactions.html


doc: net: Add information about websocket server API

Websocket server side support was not mentioned in network
overview.rst document.
Signed-off-by: Jukka Rissanen<EMAIL_ADDRESS>

Codecov Report

Merging #8489 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master    #8489   +/-   ##
=======================================
  Coverage   64.61%   64.61%
=======================================
  Files         421      421
  Lines       40296    40296
  Branches     6803     6803
=======================================
  Hits        26037    26037
  Misses      11126    11126
  Partials     3133     3133

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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Fix newly failing auth combine test

Fix #8259
Fix the Combine Auth tests that need another mock after #8196

I'm going to merge to unblock nightly tests, but happy to address any comments in a subsequent PR.


Fix first block not getting purged when deleting series

Required for all non-trivial PRs

[x] Rebased/mergable
[ ] Tests pass

If the first block had tombstones and there was only 1 block left, we could end up skipping the dedup step during compactions allowing the deleted data to come back in to the new TSM file incorrectly.

cc @benbjohnson @joelegasse

:+1:

LGTM


index processing guidelines

Fixes #1185
Proposed Changes

add guide for index.txt processing

Release Note
Guide for app developers in processing the export index file.

/hold
Want LGTM from @peetsasaki and @flagxor (both) before submit.

/retest

/retest
@mikehelmick made a few small nits and there's one typo

/hold cancel

updated

/lgtm


Docs: Update security section links to correct pages

Issue
The security sections are not pointing to the correct pages in our docs.
https://user-images.githubusercontent.com/1051198/171961388-71ec7ed6-9258-42df-96a7-460442403fdf.mov

Thanks for bringing this to my attention @vivekratnavel
All the links in the SSO docs have been corrected.


Error: noAuthInCI

Describe the bug
We can see the following error when a pull request is sent to the repository:
Error: noAuthInCI
    at githubAuth (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/src/cli/commands/auth.js:45:17)
    at auth (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/src/cli/commands/auth.js:155:15)
    at Object.method (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/src/lib/hotload.js:16:21)
    at /home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/src/cli/index.ts:44:35
    at step (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/dist/cli/index.js:33:23)
    at Object.next (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/dist/cli/index.js:14:53)
    at /home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/dist/cli/index.js:8:71
    at new Promise (<anonymous>)
    at __awaiter (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/dist/cli/index.js:4:12)
    at runCommand (/home/travis/.nvm/versions/node/v8.14.0/lib/node_modules/snyk/dist/cli/index.js:74:12)
The command "snyk auth $SNYK_TOKEN" failed and exited with 1 during .

To Reproduce
Send a pull request to this repository.

this is related: https://github.com/nodeshift/license-reporter/commit/d56e5be09de54cf61905894e17cdc58035da3d57

The CI is working fine as we can see on this PR: https://github.com/nodeshift/license-reporter/pull/335
I believe the issue is related to the previous travis configuration that was removed:
branches:
only:
  - master
  - /^greenkeeper/.*$/

For some reason the snyk auth is not working when other person than me sends a PR. But after remove that lines from travis.yml file the error gone.


Optimize the gpu loading variables.

It should descompose the linke matrix into 12 months matrix and a months vector.

Upload the linke the 12 months linke matrix and a vector of months with the month of each image.


Add the ability to drag moves on the board

After this commit, the move dragging does not feel good, it gets the job done, but it is not fluid. More development on that will be done in #16


Docker run swarm create does not work

Hello, is there any problem with docker swarm or hub because suddenly when I run the command
"docker run swarm create" it does not work.
It downloads the image successfully but then gets stuck on  "Status: Downloaded newer image for swarm:latest" and after a while this is displayed:
504 Gateway Time-out
The server didn't respond in time.

and other times I get
502  Bad Gateway
The server didn't respond in time.

Any ideia what could cause this? other docker run swarm commands run fine just create does not work.
Thanks!

metoo,what happened

ping @dongluochen @nishanttotla
any ideas?

I think this is because the token service on hub is deprecated/failing. We've removed tests for it: https://github.com/docker/swarm/pull/2679 and will deprecate the option of using tokens altogether soon.

Token discovery service on Docker hub is under migration from one cloud provider to another. Unfortunately the migration didn't go well and brought down the service. We are working to restore it in the new cloud provider.
In long run we are considering to deprecate this discovery feature. Normally there are 2 Docker release cycles from announcement to deprecation. We will follow such practice.

@dongluochen Ok, for those who are new and lost (like me) regarding how to handle service discovery, please read this stackoverflow post it will answer many of your question.http://stackoverflow.com/questions/40786414/need-for-service-discovery-for-docker-engine-swarm-mode

Token service has migrated to its new cloud infrastructure. You can run swarm create to reinitialize your hub based service discovery.

Closing since token service was fixed.


fix: update prerelease constraint

In https://github.com/nuxt/framework/pull/7116 we made a breaking change allowing modules to use RC constraints. This PR fixes this.

Thanks for the PR


tech-conferences-operator to 0.0.4

Promote tech-conferences-operator to version 0.0.4

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[d4hines] Simplify Sandbox.sh

Problem
Currently the sandbox.sh supports 3 workflows: local (with nix), local (with esy), and Docker.
We can simplify the script by removing esy, and using Nix internally for the team. Users without nix can still build the software with esy and run it inside Docker (but it will be much better
I created this PR while hacking on parametric Deku - I found it much easier to package the sandbox script using nix, so I think should be the way we do it.
Solution
Remove esy from sandbox.sh.
Additionally, I add Ligo to the nix environment, allowing us to more easily access it during contract development.
Supporting local with and AND Docker is still not ideal. In a subsequent PR, I will simplify the scripts further by parameterizing the script by environment variables and removing the if [ $mode = "docker" ] branches.
Related

Stacked PR Chain: d4hines

PR
Title
Status
Merges Into

#558
👉Simplify Sandbox.sh

-

#527
Dummy-ticket

#558

#536
feat: add block-by-level rpc

#527

#537
Add block rate and operation rate metrics

#536

#539
Benchmarking: ticket transfers

#537

#540
(Draft)POC: Parametric Deku

#539

#560
remove static.Dockerfile

-

#559
add gh-stack variable

-

Can't review the overlays on my phone but I assume it's a formatting change? Looks good otherwise

wrong version of nixfmt. Will fix.


Is this due to cert sniffing?

Subscriptions for the follwowing tenants could not be retrieved:
Tenant Id: XXXXX, Error: {
"name": "Error",
"message": "unable to get local issuer certificate",
"stack": "Error: unable to get local issuer certificate\n    at TLSSocket.onConnectSecure (_tls_wrap.js:1049:34)\n    at ZoneDelegate.invokeTask (C:\Program Files (x86)\Microsoft Azure Storage Explorer\resources\app\node_modules\zone.js\dist\zone-node.js:275:35)\n    at Zone.runTask (C:\Program Files (x86)\Microsoft Azure Storage Explorer\resources\app\node_modules\zone.js\dist\zone-node.js:151:47)\n    at TLSSocket.ZoneTask.invoke (C:\Program Files (x86)\Microsoft Azure Storage Explorer\resources\app\node_modules\zone.js\dist\zone-node.js:345:33)\n    at TLSSocket.emit (events.js:182:13)\n    at TLSSocket._finishInit (_tls_wrap.js:631:8)",
"code": "UNABLE_TO_GET_ISSUER_CERT_LOCALLY"
}

Yes? Someone on your network or machine. Is decrypting your HTTPS traffic/adding on custom certs to your network requests. Due to Storage Explorer's current design, those certs aren't trusted, so our networking requests fail. If you have those certs you can let Storage Explorer know they are trusted by getting a  Base-64 encoded X.509 (.cer) copy of the cert, and going to Edit -> SSL Certificates -> Import Certificate, and adding that cert there.

Closing due to lack of response.

Sorry
Should have confirmed. It was the same issue
On Tue, Jan 7, 2020 at 12:12 AM Matthew Rayermann<EMAIL_ADDRESS>wrote:

Closing due to lack of response.
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub
https://github.com/microsoft/AzureStorageExplorer/issues/2337?email_source=notifications&email_token=ACO24QTQ6YXYHTNDOIIOGEDQ4N3PXA5CNFSM4JR6QVB2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEIGLM5Q#issuecomment-571258486,
or unsubscribe
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.


universal_transformer in machine translation

Description
hi,guys,
Did someone try universal transformer in machine translation tasks?
My experiments with default settings does not surpass transformer in zh-en mt task.

thanks for your reply . @MostafaDehghani
actually I used "--hparams_set=universal_transformer_base" as default settings and I haven't tried "universal_transformer_fc_base". I will try that.
BTW, would you please show your settings or hyperparameters used in your paper? So I could reproduced the universal transformer in EN-DE translation task with a BLEU 28.9 as you said in your remarkable paper.

My settings:
DATA_DIR=/home/phil/t2t_data_big_en_hi
OUTDIR=/home/phil/big_en_hi/trained_model
t2t-trainer
--data_dir=$DATA_DIR
--t2t_usr_dir=./big_en_hi/trainer
--problem=big_en_hi
--model=universal_transformer
--hparams_set=universal_transformer_base
--output_dir=$OUTDIR
--worker_gpu=2
--train_steps=10000000
And the error:
INFO:tensorflow:Cannot use 'Identity_74' as input to 'Identity_17' because they are in different while loops.
Identity_74 while context: universal_transformer/parallel_1_5/universal_transformer/universal_transformer/body/encoder/universal_transformer_basic/foldl/while/while_context
Identity_17 while context: universal_transformer/parallel_0_5/universal_transformer/universal_transformer/body/encoder/universal_transformer_basic/foldl/while/while_context
Any help?

Isn't this the same issue raised in #1006?

Error exists even in the latest versions.
tensor2tensor==1.8.0
tensorboard==1.10.0
tensorflow==1.10.0

@phildani7
I have encounter this error in tensorflow=1.9.0
after update to 1.10.0, I can run correctly.

https://github.com/tensorflow/tensor2tensor/commit/b634c5e8d378f6c92cfd712f098e0032f0c65e03
I think they have fixed it here.

for your information , I almost reproduced ende translation task results. In the paper, they achieved 28.9 with universal transformer.
here's my results.
my baseline with transformer base achieved 28.19 BLEU and universal transformer achieved 28.63 BLEU so far (have not reached convergence yet )

for your information ,  the bleu reached 28.9 now.

Hi, is this sota minus the preprocessing and deliberation network?

@zherowolf  great! Just make sure that you are not looking at the "approximate BLEU" in t2t :)
Check out #436

I preprocessed my training and test data with moses scripts (inculding segment).
And computed BLEU scores of each checkpoint results with mteval-v13a.perl  after detokenize.
BTW, I used 'training-parallel-nc-v11.tgz" in WMT16 , maybe differents from your guys.

@MostafaDehghani
Hi, I can't find "universal_transformer_fc_base" in the latest code. Was it replaced?

@Bournet, Yep!
Since people were mostly interested to try the MT experiments, I changed the default of the transition function from "sepconv" to "fc" in a PR I sent two days ago:
https://github.com/tensorflow/tensor2tensor/pull/1036/commits/e4968979f904a7bcdf3ffe0591781f0efe2dae98
So right now, "universal_transformer_base" (which is equal to "universal_transformer_fc_base" in the old code) is the hparams_set you need to use to reproduce the MT results in the paper :)

@MostafaDehghani
Ok, thank you for the reply :)

@zherowolf, can you share your logs and configs? I can't reproduce the paper's result, it's not convergence.
INFO:tensorflow:loss = 5.653845, step = 2500 (147.504 sec)
INFO:tensorflow:global_step/sec: 0.692351
INFO:tensorflow:loss = 5.602401, step = 2600 (144.438 sec)
INFO:tensorflow:global_step/sec: 0.692506
INFO:tensorflow:loss = 5.603458, step = 2700 (144.400 sec)
INFO:tensorflow:global_step/sec: 0.695547
INFO:tensorflow:loss = 5.5827146, step = 2800 (143.772 sec)
INFO:tensorflow:global_step/sec: 0.692561
INFO:tensorflow:loss = 5.7178345, step = 2900 (144.391 sec)
INFO:tensorflow:global_step/sec: 0.691745
INFO:tensorflow:loss = 5.53726, step = 3000 (144.562 sec)
INFO:tensorflow:global_step/sec: 0.693078
INFO:tensorflow:loss = 5.4643216, step = 3100 (144.284 sec)
INFO:tensorflow:global_step/sec: 0.691953
INFO:tensorflow:loss = 5.4527507, step = 3200 (144.519 sec)
INFO:tensorflow:global_step/sec: 0.690533
INFO:tensorflow:loss = 5.5876875, step = 3300 (144.816 sec)
INFO:tensorflow:global_step/sec: 0.692915
INFO:tensorflow:loss = 5.5414114, step = 3400 (144.318 sec)

@zherowolf hi,could you please show us your t2t_trainer settings,thank you in advance!
following is my settings(no convergence):
nohup t2t-trainer
--data_dir=$DATA_DIR
--problem=translate_ende_wmt32k
--model=universal_transformer
--hparams_set=universal_transformer_base
--hparams='batch_size=5120'
--train_steps=7000000
--random_seed=33
--worker_gpu=8
--output_dir=$TRAIN_DIR
--eval_steps=10000 &
any help?

@zherowolf , --train_steps=7000000 ? how many steps when your model reach 28.9? Thanks.

sorry for replying late.
My Experiments settings are followings:
[data preprocess]

I used "training-parallel-commoncrawl.tgz" , "training-parallel-europarl-v7.tgz" and "training-parallel-nc-v12.tgz" which are available on wmt website.
I preprocessed my data with https://github.com/pytorch/fairseq/blob/master/examples/translation/prepare-wmt14en2de.sh
and thanks to @myleott

[setup]
I did not use translate_ende_wmt32k and defined my own problem and hparams for ende , but I don't think there's much difference.
for transformer base model:

for universal transformer base:

[training]
I trained both models with 4 gpus of V100 .
for transformer base, I trained 361600 steps within about 60 hours.
for universal transformer, I trained 262000 steps wthin about 90 hours.
and the final results in newstest2014 with each checkpoint are in following:

I also trained a transformer big model (green line), which is better with more parameters.
I hope this would help .
@robotzheng @li10141110

@zherowolf i train with both universal_transformer_big and transformer_big in one gpu P40 (PROBLEM=translate_enzh_wmt32k), but in the training process ,the process will stop itself early, it's so weird. Have you met this?

@MostafaDehghani  could you help to see the issue #1006 , several people meet a common problem, when tried hparams of universal_transformer_base, about 10W steps, it will not be convergence, the loss maintain about 4~5. Any solution to this?
INFO:tensorflow:Saving dict for global step 109000: global_step = 109000, loss = 4.23917, metrics-translate_enzh_wmt32k/targets/accuracy = 0.32611865, metrics-translate_enzh_wmt32k/targets/accuracy_per_sequence = 0.0, metrics-translate_enzh_wmt32k/targets/accuracy_top5 = 0.5148043, metrics-translate_enzh_wmt32k/targets/approx_bleu_score = 0.028782098, metrics-translate_enzh_wmt32k/targets/neg_log_perplexity = -4.2202907, metrics-translate_enzh_wmt32k/targets/rouge_2_fscore = 0.08715047, metrics-translate_enzh_wmt32k/targets/rouge_L_fscore = 0.33720428
INFO:tensorflow:Saving 'checkpoint_path' summary for global step 109000: /home/exuekun/AI_Challenger_2018_base/Baselines/english_chinese_machine_translation_baseline/train/universal_train/model.ckpt-109000

@MostafaDehghani 你可以帮忙看看问题＃1006，几个人遇到一个常见的问题，当试用hparams的universal_transformer_base时，大约10W步，它不会收敛，损失保持在4~5左右。对此有何解决方案？
INFO：tensorflow：保存全局步骤109000的dict：global_step = 109000，loss = 4.23917，metrics-translate_enzh_wmt32k / targets / accuracy = 0.32611865，metrics-translate_enzh_wmt32k / targets / accuracy_per_sequence = 0.0，metrics-translate_enzh_wmt32k / targets / accuracy_top5 = 0.5148043，metrics -translate_enzh_wmt32k / targets / approx_bleu_score = 0.028782098，metrics-translate_enzh_wmt32k / targets / neg_log_perplexity = -4.2202907，metrics-translate_enzh_wmt32k / targets / rouge_2_fscore = 0.08715047，metrics-translate_enzh_wmt32k / targets / rouge_L_fscore = 0.33720428
INFO：tensorflow：为全局保存'checkpoint_path'摘要步骤109000：/home/exuekun/AI_Challenger_2018_base/Baselines/english_chinese_machine_translation_baseline/train/universal_train/model.ckpt-109000

hi, Can I add your WeChat? i have the same question.

@zherowolf  Thank you so much and could please tell us  your universal transformer t2t_trainer settings in zh-en mt task. My loss fluctuated between 2-3 within 400,000 steps in my experiments with default settings  in zh-en mt task.

sorry for replying late.
My Experiments settings are followings:
[data preprocess]
1. I used "training-parallel-commoncrawl.tgz" , "training-parallel-europarl-v7.tgz" and "training-parallel-nc-v12.tgz" which are available on wmt website.

2. I preprocessed my data with https://github.com/pytorch/fairseq/blob/master/examples/translation/prepare-wmt14en2de.sh
   and thanks to @myleott

[setup]
I did not use translate_ende_wmt32k and defined my own problem and hparams for ende , but I don't think there's much difference.
for transformer base model:

for universal transformer base:

[training]
I trained both models with 4 gpus of V100 .
for transformer base, I trained 361600 steps within about 60 hours.
for universal transformer, I trained 262000 steps wthin about 90 hours.
and the final results in newstest2014 with each checkpoint are in following:

I also trained a transformer big model (green line), which is better with more parameters.
I hope this would help .
@robotzheng @li10141110

@zherowolf my you share your code?

"universal_transformer_big" does not work, I have to use "universal_transformer_base" with "hparams="hidden_size=2048,filter_size=8196".  "universal_transformer_big" requires more GPU RAM than "transformer_big", thus smaller batch size (in my case 2048 vs 3600).


Potential bug in learning rate schedule for few-shot

Hi,
I recently refactored some of the code for my own research, and I may have spotted a potential bug in the learning rate schedule.
To pinpoint, I'm referring to this line. It seems embedding_scheduler should be created with embedding_optimizer as input, as opposed to optimizer.

Solved in recent update. Thank you very much.


Batch updates

Too many setStates each calls rerender. Combine them into one.

Task of rendering tool, not spect.


Amplify apps for ap-southeast-2 (Sydney) are not showing in the dashboard

Before opening, please confirm:

[X] I have checked to see if my question is addressed in the FAQ.
[X] I have searched for duplicate or closed issues.
[X] I have read the guide for submitting bug reports.
[X] I have done my best to include a minimal, self-contained set of instructions for consistently reproducing the issue.

App Id
d557f0g5wwu0m
Region
ap-southeast-2
Amplify Console feature
Not applicable
Describe the bug
I had several existing applications set up through amplify and they are no longer showing up in the amplify dashboard. These were connected through github and have custom domains set up through route53.
The applications that I have in us-east-1 are still active.
Also, if I try to add a new app ap-southeast-2 the application builds, and I get a success message, if I navigate back to aws amplify, and sselect sp-southeast-2 the "all apps" section is empty.
I have just added a new app with the id: d557f0g5wwu0m
after building the app I try to navigate to https://ap-southeast-2.console.aws.amazon.com/amplify/home?region=ap-southeast-2&code=7738cee9b4173932a7a4#/ but I get an app not found error
Expected behavior
I am expecting that when I add applications through aws amplify that they stay there.
Reproduction steps

go to amplify and select ap-southeast-2
select add new app and connect github
save and deploy new app
navigate back to amplify
The new app is gone

Build Settings
No response
Additional information
No response

Hi @shaynos 👋🏽 thank you for opening this issue and providing details. The team is investigating this behavior. We will respond once we have more information.

You should be able to view your apps, can you check again and confirm that you're able to see them in the console?

@shaynos let us know if the problem still persists, and we'll reopen the ticket.


External renderbuffers/drawables and external flipping (OpenGL, Metal, Direct3D)

We would be interested in using bgfx to submit rendering API calls, but not only receive the context/device and layer from our application, but also accept the color renderbuffer as well as the depth/stencil renderbuffer as an input. As far as I can tell, this behaviour is implemented for Direct3D via the PlatformData's backBuffer and backBufferDS fields. These fields are not used for OpenGL and Metal, which is two platforms we have as a requirement.
For the OpenGL case, adding this behaviour can simply be done by supplying the two corresponding renderbuffer handles to the PlatformData and attaching it to bgfx's internal FBO instead of creating new ones. For Metal this seems more complicated (bgfx's Metal implementation calls nextDrawable on the Metal layer internally), but certainly doable.
As for the other issue of externally flipping/presenting, one could simply add a BGFX_RESET_DONT_FLIP reset flag to skip bgfx's call to flip, instead relying on the hosting application to call presentRenderbuffer/presentDrawable.
The combination of these two features would allow control over the renderbuffers to remain with the hosting application, while still being able to use bgfx as an abstraction layer for several rendering APIs. Due to some architectural constraints this would be very advantageous for us.
My actual question is, whether this use-case is something you could see being supported in the master branch. I'd be happy to contribute the required changes for that to happen.

Daniel

I just submitted an issue that might be related #1809. I think what you're proposing would help.


Bug in latest version - cant fire click events on last week days

Cannot click on gray date - last week's dates.
Happened to me when i updated from v1.1.18.

same here :
I just update to the last version react-infinite-calendar": "^1.2.1" and I can't select date around the default date

for example here :
I can't select the 25, 26, 27, 28 and 30 of september all the rest is fine.
when I look into the html the li inside the row are not created.
any ideas ?
Thanks

Ahhh. Sorry about that, 1.2.0 introduced a number of changes which caused a css rule to be ignored, which resulted in the zIndex glitches you both saw. Just published 1.2.2 to npm with a fix for this.
Thanks for reporting this!


[Fix #10410] Improve help string for --fail-level CLI option

Closes #10410

Before submitting the PR make sure the following are checked:

[x] The PR relates to only one subject with a clear title and description in grammatically correct, complete sentences.
[x] Wrote good commit messages.
[x] Commit message starts with [Fix #issue-number] (if the related issue exists).
[x] Feature branch is up-to-date with master (if not - rebase it).
[x] Squashed related commits together.
[x] Added tests.
[x] Ran bundle exec rake default. It executes all tests and runs RuboCop on its own code.
[x] Added an entry (file) to the changelog folder named {change_type}_{change_description}.md if the new code introduces user-observable changes. See changelog entry format for details.

Thanks!


Proposition to a solution for boosting score DOWN

Hello,
In the Elasticsearch negative values are not allowed in function weight.  Thus, if I understand your solution, you want to use must_not in function filter for boosting DOWN score. However, as you mentioned in your document the DOWN -instructions are not yet supported.  Here are your code:
@Override
public Query convertBoostDown(final BoostQueryDefinition<Query> boostQueryDefinition) {
    return new Query(
            new BoolQuery.Builder()
                    .should(createMatchAllQuery())
                    .mustNot(createBoostQuery(boostQueryDefinition))
                    .build()
    );
}

The above code does not work correctly because it generates a query like this:
 Query : {
    "bool": {
      "filter": [],
      "must": [
   ...
      ],
      "should": [
        {
          "bool": {
            "**must_not**": [
              {
                "function_score": {
                  "boost_mode": "sum",
                  "functions": [
                    {
                      "filter": {
                        "match_all": {}
                      },
                      "weight": 100
                    }
                  ],
                  "query": {
                    "bool": {
                      "boost": 1,
                      "minimum_should_match": "0%",
                      "**must**": [
  ...
                            ],
                            "tie_breaker": 0
                          }
                        }
                      ]
                    }
                  }
                }
              }
            ],
            **"should": [
              {
                "match_all": {}
              }
            ]**
          }
        }
      ]
    }
  }

After investing into this case, I would like to propose a solution for DOWN -instructions with ADDITIVE as following:
@Override
public Query convertBoostDown(final BoostQueryDefinition<Query> boostQueryDefinition) {
    return new Query(
            new BoolQuery.Builder()
                    .must(createBoostDownQuery(boostQueryDefinition))
                    .build()
    );
}

private Query createAdditiveDownScoreQuery(final BoostQueryDefinition<Query> boostQueryDefinition) {
    Query query = boostQueryDefinition.getQuery();
    Query mustQuery = query.bool().must().get(0);

    BoolQuery downQuery = QueryBuilders.bool()
            .mustNot(mustQuery)
            .build();

    return new Query(
            new FunctionScoreQuery.Builder()
                    .query(downQuery._toQuery())
                    .functions(createFunctionScoreByWeight(boostQueryDefinition.getBoost()))
                    .boostMode(FunctionBoostMode.Sum)
                    .build()
    );
}

The new code generates a query like below:
 Query : {
    "bool": {
      "filter": [],
      "must": [
   ...
      ],
      "should": [
        {
          "bool": {
            "**must**": [
              {
                "function_score": {
                  "boost_mode": "sum",
                  "functions": [
                    {
                      "filter": {
                        "match_all": {}
                      },
                      "weight": 100
                    }
                  ],
                  "query": {
                    "bool": {
                      "boost": 1,
                      "minimum_should_match": "0%",
                      "**must_not**": [
  ...
                            ],
                            "tie_breaker": 0
                          }
                        }
                      ]
                    }
                  }
                }
              }
            ]
          }
        }
      ]
    }
  }

Here is an unit test:
Given some documents indexed:
private final List<Product> products = List.of(
        product("1", "iphone", "smartphone", "apple"),
        product("2", "apple", "smartphone", "apple"),
        product("3", "apple smartphone", "smartphone", "apple"),
        product("4", "apple", "case", "apple"),
        product("5", "iphone", "case", "apple"),
        product("6", "samsung", "case", "samsung"),
        product("7", "samsung", "smartphone", "samsung"),
        product("8", "the more you learn; plus you forget", "somewhere", "")
);
final Map<String, Float> fieldScores = Map.of(
        "name", 40.0f,
        "category", 20.0f
);

When search:
@Test
public void testScoreBoostAdditiveWithDOWN() throws IOException {
    final String queryInput = "apple";
    final String filterRule = "apple => \n DOWN(100): smartphone";

    List<FnacProduct> results = querqyService.search(
            getIndexName(), filterRule, "", queryInput, fieldScores);

    assertThat(EsPocTools.toIdAndScoreMaps(results)).containsExactlyInAnyOrder(
            idAndScoreMap("2", 40.0), //  40 "apple", "smartphone"
            idAndScoreMap("3", 40.0), // 40 "apple smartphone", "smartphone"
            idAndScoreMap("4", 140.0) // 40 + 100 "apple", "case"
    );
}

Hope that is enough clear and I am looking forward your reply as soon as possible.
Best regards,
Quoc-Anh

Hi, thank you for spotting this issue. In general, we consider three boost modes, PARAM_ONLY, ADDITIVE and MULTIPLICATIVE. What you are suggesting is PARAM_ONLY, as it ignores the score of the boost query and purely considers the score of the parameter.
Anyway, from my current point of view, this is anyway the only reasonable option for down boosts, as a must_not does not return a score that could be considered. Therefore, I think your proposal makes a lot of sense.

Hello,
That is the ADDITIVE case for down boosts (...After investing into this case, I would like to propose a solution for DOWN -instructions with ADDITIVE ...).

Are you planning to develop the MULTIPLICATIVE case?
In my opinon, the current code structure is suitable for ADDITIVE but we should have a different code structure for the MULTIPLICATIVE.

Querqy in general supports multiplicative boosting, so there should be a Querqy user using this. However, I have not implemented support for this so far as I do not really see the need for this. All multiplicative solutions I have seen so far in the context of retail were really bad. Anyway, this is open source, so if someone still has a need for this such a feature can simply be contributed.
But yes - the Querqy query would be required to be embedded in a FunctionScoreQuery I guess, this would definitely lead to a change in the code structure. Furthermore, I do not know whether this can be done with the existing Solr Query DSL stuff.

FYI: I will release a fix for the DOWN boosting soon

But feel free to create an issue for the multiplicative stuff - might become an interesting discussion :)

ok, thanks


[BUG] ObjMenu Removal

Description of the Bug
The ObjMenu serves as a middle man to display the tables and List View for each schema.
How To Reproduce

Run the app, and stay on the Home page
Click on any schema, and notice how you can't see the tables of the schema.
Click on ObjMenu and notice how you can finally see the tables

Expected Behavior
Obj menu should not exist, and to open the tables and List View of any schema, you should be able to directly do it by clicking any of the schema's.
Actual Behavior
You need to select ObjMenu first to display the tables of any schema
Priority
High

video for Stakeholder is in #219's video

Signing off - fixed in 219


SW-6222 Add observed species to subzone species list

When the client requests the list of species in a subzone (the mobile app uses
this to populate the list of options when observing a monitoring plot), we
currently return the species that were reported to have been planted in the
subzone.
Start also including all the species that have been observed at the planting site,
even if they were never reported as planted in the subzone. Among other things,
this will cover cases where a plant has spread naturally from one subzone to
another.

#2573  👈
main

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Join @sgrimm and the rest of your teammates on  Graphite


Move chat1.local protocol to client

@mmaxim as we discussed in slack, this moves the chat1.local protocol from gregor to client.  chat1.common still in gregor.  Fixes the vendoring issues.

👍 although CI failed for some reason

@keybase/react-hackers need some flow help here.  new protocol files for chat.

fixing

Please rebase

I'm waiting on https://github.com/keybase/client/pull/3852 which is branched off of this branch

It should fix the flow errors.


Query regarding cpp11 features unique_ptr

I believe node-gyp uses cpp11 under the hood. but when i use std::unique_ptr or any smart pointers for that matter; node-gyp fails to compile.
is this something do with nan ?

No, and neither with node-gyp.  std::unique_ptr is a stdlib function.  You can have a C++11-capable compiler but a pre-C++11 stdlib.  (Example: OS X <= 10.9, "it depends" when on 10.10 and newer.)


assets precompile failing after adding capybara gem to Gemfile

Added capybara gem along with selenium web driver to Gemfile. rake assets precompile is breaking since then. Tracing the issue seems to point the problem at this place.
/Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:199:in block in non_options': file not found: assets:precompile:all (ArgumentError) 	from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:178:in map!'
from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:178:in non_options' 	from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:237:in non_options'
from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:58:in process_args' 	from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/minitest/unit.rb:1073:in _run'
from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/minitest/unit.rb:1066:in run' 	from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:27:in run'
from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:780:in run' 	from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:372:in block (2 levels) in autorun'
from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:33:in run_once' 	from /Users/keshav/.rvm/rubies/ruby-2.1.4/lib/ruby/2.1.0/test/unit.rb:371:in block in autorun'
Appreciate your help,
Keshav.

Capybara has nothing to do with asset compilation and isn't listed at all in the stack trace you posted, so I'm 99.9% sure it has nothing to do with this error.   You might want to look at anything else that was changed at the same time as you added capybara.  You might also want to post the mailing list mentioned at the top of the readme to see if anyone there has had a similar issue.

Thanks Guys. Fixed this. Was being caused because of a different gem called contest that was being used along with capybara. I was able to fix this after setting require => false for contest gem in Gemfile.


Stricter error checking

It is possible to mutate incoming props, to pass non-plain objects into states/reducers etc.
To prevent issues following these mistakes, there should be checking against these cases installed in the dev variant.

Good enough for now.


how can i add image to summary

i like to have an image in the summary but i'm unable to achieve that.
how can i do it?
thanks

okay i managed to do that by adding

             {% if post.image %}                            {% else %}               {{  }}             {% endif %}

to index html and defining an image variable under summary in my posts like this :
layout:     post title:      Pixyll in Action date:       2014-06-10 12:31:19 summary:    See what the different elements looks like. Your markdown has never looked better. I promise.! image: me.jpeg categories: jekyll pixyll

@SchwiftyLife thank you! This is exactly what I was looking for.


RC test: Graphing Quadratics 1.2.0-rc.2

@KatieWoe, @kathy-phet, @amanda-phet, graphing-quadratics/1.2.0-rc.2 is ready for RC testing.
This is an RC spot-check for PhET and PhET-iO brands.
Document issues in https://github.com/phetsims/graphing-quadratics/issues and link to this issue.
Assigning to @kathy-phet and @KatieWoe for prioritization.

[x] Tester = NS , Platform = Mac11 + chrome , Time = 1.75 hr
[x] Tester = KW, Platform = Win 10 Chrome, Time = 2 hr
[ ] Tester = , Platform = , Time =

General RC Test

What to Test

Click every single button.
Test all possible forms of input.

Test all mouse/trackpad inputs.
Test all touchscreen inputs.

If there is sound, make sure it works.
Make sure you can't lose anything.
Play with the sim normally.
Try to break the sim.
Test all query parameters on all platforms. (See QA Book for a list of query parameters.)
Download HTML on Chrome and iOS.
Make sure the iFrame version of the simulation is working as intended on all platforms.
Make sure the XHTML version of the simulation is working as intended on all platforms.
Complete the test matrix.
Don't forget to make sure the sim works with Legends of Learning.
Test the Game Up harness on at least one platform.
Check this LoL spreadsheet and notify AR or AM if it not there.
If this is rc.1 please do a memory test.
When making an issue, check to see if it was in a previously published version.
Try to include version numbers for browsers.
If there is a console available, check for errors and include them in the Problem Description.
As an RC begins and ends, check the sim repo. If there is a maintenance issue, check it and notify developers if there is a problem.

Issues to Verify

[x] https://github.com/phetsims/graphing-quadratics/issues/158
[x] https://github.com/phetsims/graphing-quadratics/issues/169

These issues have "status:ready-for-qa" label. Check these issues off and close them if they are fixed. Otherwise, post a comment in the issue saying that it wasn't fixed and link back to this issue.

Link(s)

Simulation
iFrame
XHTML
Test Matrix

PhET-iO RC Test

What to Test

Make sure that public files do not have password protection. Use a private browser for this.
Make sure that private files do have password protection. Use a private browser for this.
Make sure standalone sim is working properly.
Make sure the wrapper index is working properly.
Make sure each wrapper is working properly.
Launch the simulation in Studio with ?stringTest=xss and make sure the sim doesn't navigate to youtube
For newer PhET-iO wrapper indices, save the "basic example of a functional wrapper" as a .html file and open it. Make sure the simulation loads without crashing or throwing errors.
Load the login wrapper just to make sure it works. Do so by adding this link from the sim deployed root:/wrappers/login/?wrapper=record&validationRule=validateDigits&&numberOfDigits=5&promptText=ENTER_A_5_DIGIT_NUMBER

Further instructions in QA Book
Conduct a recording test to Metacog, further instructions in the QA Book. Do this for iPadOS + Safari and one other random platform.
Conduct a memory test on the stand alone sim wrapper (rc.1).
Test one platform combination with ?phetioDebug on the Studio and State wrapper.
If Pan/Zoom is supported, make sure that it works when set with PhET-iO State.
Test that the sim works offline:

Go to https://phet-dev.colorado.edu/html/graphing-quadratics/1.2.0-rc.2/phet-io/graphing-quadratics-phet-io-1.2.0-rc.2.zip
download it
unzip it to a spot locally
Open index.html by double clicking it on your desktop or in a finder-view.
It should look like the standalone version of the sim in PhET-iO brand.

Issues to Verify

[x] https://github.com/phetsims/graphing-quadratics/issues/154
[x] https://github.com/phetsims/graphing-quadratics/issues/162
[x] https://github.com/phetsims/graphing-quadratics/issues/165
[x] https://github.com/phetsims/graphing-quadratics/issues/168

These issues  have the "status:ready-for-qa" label. Check these issues off and close them if they are fixed. Otherwise, post a comment in the issue saying that it wasn't fixed and link back to this issue.

Link(s)

Wrapper Index
Test Matrix

FAQs for QA Members

There are multiple tests in this issue... Which test should I do first?
Test in order! Test the first thing first, the second thing second, and so on.

How should I format my issue?

We typically assign the developer who opened the issue in the QA repository.

My question isn't in here... What should I do?
You should:

Consult the QA Book.
Google it.
Ask Katie.
Ask a developer.
Google it again.
Cry.

Thanks QA team.  We'll need another RC, so I'll keep this issue open until 1.2.0-rc.3 is published.

In 8/28/2021 Slack, @kathy-phet asked for 2 specific estimates:

publish 1.0 Geometric Optics (with minimal clean up) and
then refactor (address code review comments) on Geometric Optics


Upgrade to purity-inference roc panics with Error in alias analysis

While upgrading basic-cli in this commit
$ roc examples/task-list.roc
🔨 Rebuilding platform...
thread 'main' panicked at crates/compiler/gen_llvm/src/llvm/build.rs:5748:19:
Error in alias analysis: error in module ModName("UserApp"), function definition FuncName("\x11\x00\x00\x00\x04\x00\x00\x80\xa2W\x01\xe0\x8b`\xe5 "), definition of value binding ValueId(42): expected type 'union { (union { ((heap_cell,), ()), (union { (), (), ((heap_cell,),), (), (), (), () },) },), ((),) }', found type 'union { ((heap_cell,), ()), (union { (), (), ((heap_cell,),), (), (), (), () },) }'
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace

app [main!] { pf: platform "../platform/main.roc" }

import pf.Stdout

main! = \{} ->
    # Prints out each of the authors
    forEach! [ "Foo", "Bar", "Baz" ] Stdout.line!

forEach! : List a, (a => Result {} err) => Result {} err
forEach! = \l, f! ->
    when l is
        [] -> Ok {}
        [x, .. as xs] ->
            try f! x
            forEach! xs f!

Resolved by #7204


[SPARK-36502][SQL] Remove jaxb-api from sql/catalyst module

What changes were proposed in this pull request?
This PR aims to remove jaxb-api usage from sql/catalyst module
Why are the changes needed?
We only use DatatypeConverter.parseHexBinary and DatatypeConverter.printHexBinary twice.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Pass the CIs.

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Merged to master.

Thank you, @HyukjinKwon and @sarutak !


Support for animated SVG

Is there an existing issue for this?

[X] I have searched the existing issues
[X] I have read the guide to filing a bug

Use case
I tried to use animated svg in my mobile application, but currently, this is not supported with Flutter. So I tried other packages on Pub, the most commonly used package is flutter_svg, but with this also I can't use my svg image, since is already an animated svg image.
Proposal
My requirement is to use the animated SVG image in my Flutter application, don't want to animate the SVG image in my application or use another package on pub. So, if you provide support to use animated SVG images either in Flutter or any other packages on pub would be much better. Kindly help me out with this scenario. I have attached simple animated SVG image below.

Hi @dharanidharandharmasivam. Thanks for proposing this. Are there specific issues you are encountering with these other packages on pub that suit this use case?
You might want to try out https://pub.dev/packages/rive or https://pub.dev/packages/lottie

Hi @dam-ease ,
Thanks for the suggestions. While using the animated SVG images in flutter_svg package faced some exceptions. Currently using 3.7.12 version, I ensured with the latest Flutter package, in that too facing exception. I suspect this is due to the package that doesn't support animated SVG and supports static SVG images.
Here is the code which I have used
import 'package:flutter/material.dart';
import 'package:flutter_svg/flutter_svg.dart';

void main() {
  runApp((ExampleApp()));
}

class ExampleApp extends StatelessWidget {
  ExampleApp({key});

  @override
  Widget build(BuildContext context) => MaterialApp(
        home: SvgPicture.asset('assets/animated_svg.svg'),
      );
}

And I am unable to use Rive & Lottie, since my input will be animated svg, if needs to use Rive & Lottie, format conversion needs to be carried riv & json respectively, can't use my animated svg with these packages. Please let me know if you any other information.

Hi @dharanidharandharmasivam. Thanks for your response. As regards supporting showing animations in SVG format using the flutter_svg package, there are some issues filed in the repo regarding that and per this https://github.com/dnfield/flutter_svg/issues/772#issuecomment-1242169457, has been closed. Converting to other file formats, do you experience any issues?


Backport 8824

I feel like the vsize lines are useless, but might result in conflicts if we remove them

rebased and ffed to trigger tests

Yep, vsize was one of the issues. Pls see https://github.com/UdjinM6/dash/commits/pr2968 for more fixes (Travis: https://travis-ci.org/UdjinM6/dash/builds/543161061).

Looks good, cherry-picked


[QUESTION] How to export to premade excel template with header and footer

Versions

PHP version: 7.3.11
Laravel version: 6.18.15
Package version: 3.1

Description
I need to export my collection to my template with header and footer. How do I achieve that if possible with paging with that. I did not see anything on https://docs.laravel-excel.com/3.1/getting-started/ here or maybe I overlooked thanks

Currently not possible without using PhpSpreadsheet code directly. https://phpspreadsheet.readthedocs.io/en/latest/topics/reading-and-writing-to-file/#generating-excel-files-from-templates-read-modify-write

ok thanks, hope it will be added in the future releases


DBZ-5876 ATTRIBUTE token for CREATE_USER and ALTER_USER clause

https://issues.redhat.com/browse/DBZ-5876

Upstream PR - https://github.com/antlr/grammars-v4/pull/2933

@ani-sha Applied, thanks


Fixing SSL, Relationship fields.

This includes a patch to ignore SSL verification due to a bug in HTTP2 lib, as well as updating the Relationship model to include the target_user_is_private field.

Thanks!


Difference in quality of video uploaded via browser UI vs cvat_sdk.

My actions before raising this issue

[x] Read/searched the docs
[x] Searched past issues

Steps to Reproduce (for bugs)

Upload a full HD video from UI. Set Image quality to 100.
Upload a same video using cvat_sdk with below spec.
with self.client as client:
task = client.tasks.create_from_data(
spec={
"project_id": project_id,
"name": task_name,
"image_quality": 100,
"use_zip_chunks": True,
"use_cache": True,
"sorting_method": "lexicographical"
},
resource_type=ResourceType.LOCAL,
resources=[video_path],
)
Make comparison.

Expected Behaviour
The video uploaded from cvat_sdk should match the quality of video uploaded using browser UI when seen on the CVAT Tool.
Current Behaviour
The video quality is visibly lower for the one uploaded using cvat_sdk even when using image_quality of 100 in the spec when compared to the one uploaded via browser UI with same params/spec.
Possible Solution
Not sure.
Context
This has direct impact on the judgement of annotators and how they make decision to classify the bounding-boxes/annotations for my usecase.
Your Environment

Docker version:  23.0.5
Operating System: Ubuntu 22.04.2 LTS (for the machine running CVAT)
Operating System: macOS 13.0 (for the system running browser UI)

Is there any update to this issue?

We have the same issue.
Because of this, it's impossible for us to programmatically create annotation tasks for a large set of videos.

I have the extact same issue, even though the code spec specifies image quality 100, the actual uploaded task is uploaded with 70% image quality (default). Major issue for uploading a large set of videos without any quality loss.

I have this issue as well. Setting image quality to 5 vs. 95 in my spec yields the same quality image after upload, so I don't believe this is being used. Uploading via the UI shows a marked difference at 5 vs. 95, but I also need to programmatically upload many images without loss.

@zhiltsov-max, setting the image_quality in the data_params field instead of the spec field is working for me. Thank you for clarifying that separate field!
The workaround that I had found in the meantime was to use cvat_sdk.models.DataRequest to create a new DataRequest containing image_quality=95 and to pass that into the data_request field of client.api_client.tasks_api.create_data().
For my client, I create it with cvat_sdk.make_client as shown in the high-level API docs and then access the low-level API via client.api_client.


Feature/normalized billing model

PR Overview
This PR will address the following Issue/Feature: No Issue. Quarterly Project.
This PR will result in the following new package version: v0.4.0

Please detail what change(s) this PR introduces and any additional information that should be known during the review of this PR:
PR Checklist
Basic Validation
Please acknowledge that you have successfully performed the following commands locally:

[ ] dbt compile
[ ] dbt run –full-refresh
[ ] dbt run
[ ] dbt test
[ ] dbt run –vars (if applicable)

Before marking this PR as "ready for review" the following have been applied:

[ ] The appropriate issue has been linked and tagged
[ ] You are assigned to the corresponding issue and this PR
[ ] BuildKite integration tests are passing

Detailed Validation
Please acknowledge that the following validation checks have been performed prior to marking this PR as "ready for review":

[ ] You have validated these changes and assure this PR will address the respective Issue/Feature.
[ ] You are reasonably confident these changes will not impact any other components of this package or any dependent packages.
[ ] You have provided details below around the validation steps performed to gain confidence in these changes.

Standard Updates
Please acknowledge that your PR contains the following standard updates:

Package versioning has been appropriately indexed in the following locations:

[ ] indexed within dbt_project.yml
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[ ] CHANGELOG has individual entries for each respective change in this PR

[ ] README updates have been applied (if applicable)

[ ] DECISIONLOG updates have been updated (if applicable)
[ ] Appropriate yml documentation has been added (if applicable)

dbt Docs
Please acknowledge that after the above were all completed the below were applied to your branch:

[ ] docs were regenerated (unless this PR does not include any code or yml updates)

If you had to summarize this PR in an emoji, which would it be?

:dancer:

Closing this as it is a duplicate of PR #26


Index is added as field an array is in the query

When an array is passed in the current functionality is to add the index of the array as a field on the query. I know that arrays aren't supported currently but with the includeFalsyKeys PR (see #15)  this becomes more of an issue.
My first thought (and the easiest to implement) would be to just grab the keys off the first object in the array. Alternatively we could get all of the keys from all of the objects in the array.
Again, I am happy to submit a PR if you are interested in this functionality.
Thanks!

Hmm, my feeling on this one is we should probably just drop arrays? (just keep the key that references them)
JS arrays can contain any primitives including numbers and null which are not valid GraphQL nodes

We've decided to search the array for the first object and use the keys from that. Released as v1.9.0


Confirm Content from old Wiki is in new Pages - Relationship Criteria (SOQL Queries)

https://github.com/SFDO-Community/declarative-lookup-rollup-summaries/wiki/Relationship-Criteria-(SOQL-Queries)

Confirming that all content from Old Wiki is in the new page - https://sfdo-community-sprints.github.io/DLRS-Documentation/Architecture/relationship-critera.html


nuclear: 0.6.6 -> 0.6.17

Motivation for this change
I updated the nuclear audio player.
I like it.
Things done
Changed version.
Changed hash.
Build works on my nixos x64 machine.

Built on platform(s)

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

[ ] For non-Linux: Is sandbox = true set in nix.conf? (See Nix manual)
[ ] 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
[ ] Tested basic functionality of all binary files (usually in ./result/bin/)
22.05 Release Notes (or backporting 21.11 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

[ ] Fits CONTRIBUTING.md.

Question @IvarWithoutBones, are you the maintainer for this pakcage? It looks like that in the default.nix

Yay!!, the tests passed!

Hi @jakobneufeld! I was recently using this package, but I can't get it to work, it opens just fine but it never reproduces any music I select. I addition, I can get it to change the directory to download music in:
Error when trying to play a song:
      main › renderer › Error while searching  for The Caretaker All you are going to want to do is get back there on Youtube
      main › renderer › Error: Error parsing info: Unexpected token ) in JSON at position 0
    at t.getBasicInfo (file:///nix/store/a1r7x3mf10dffvz4cy87lgvixfvbgab3-nuclear-v0.6.6-extracted/resources/app.asar/dist/1.renderer.js:2240:278393)
    at async Map.getOrSet (file:///nix/store/a1r7x3mf10dffvz4cy87lgvixfvbgab3-nuclear-v0.6.6-extracted/resources/app.asar/dist/1.renderer.js:2240:262532)
    at async t.getInfo (file:///nix/store/a1r7x3mf10dffvz4cy87lgvixfvbgab3-nuclear-v0.6.6-extracted/resources/app.asar/dist/1.renderer.js:2240:280578)
    at async Map.getOrSet (file:///nix/store/a1r7x3mf10dffvz4cy87lgvixfvbgab3-nuclear-v0.6.6-extracted/resources/app.asar/dist/1.renderer.js:2240:262532)

Error when opening the file browser:
(nuclear:2): GLib-GIO-ERROR **: 11:05:34.566: No GSettings schemas are installed on the system

Was wondering  if you had encountered these issues? I used your package recipe too but it's the same problem.

This is a weird error. I will try to reproduce on my machine. I will tell everyone my results

Question @IvarWithoutBones, are you the maintainer for this pakcage? It looks like that in the default.nix

I am!

Error when opening the file browser:
(nuclear:2): GLib-GIO-ERROR **: 11:05:34.566: No GSettings schemas are installed on the system

This should be fixable by adding wrapGAppsHook to nativeBuildInputs. @jakobneufeld would you mind adding that?
Not entirely sure about the error above though.

I will add that

@IvarWithoutBones, is that what you meant?

I can not play any music, it just complains.

Adding wrapGAppsHook to the nativeBuildInputs does NOT fix the issue for me.

@jakobneufeld Me neither, the error that I show are what happens when I click play on a song.

Maybe, we should talk with upstream nuclear js. Maybe  some dependencies are missing. The error is cryptic. I have to go, but when I come back, I am happy to continue working on this issue.

Yeah, their docs are not very descriptive either. Maybe it's best if we base the binary out of on of the Arch recipes instead of App Image. As far as I know, the app image should be plug and play, with all needed dependencies out of the box, which doesn't seem to be the case/ Another alternative is to try to pack the Flatpak/

@danilevy1212 How do we use the arch recepie. is there are pkg.aurToNix or something like that. Flatpak is good option too.

My experience is that when you talk with package maintainers, they just complain.

@jakobneufeld About the AUR package. I don't there is any tool like that. What I meant is going through the package definition, pinning the dependencies in arch and changing them to the analog ones in nixpkgs and translating it's install scripts to nixpkgs.
It's a bunch of work, should be last resort if the flatpak doesn't work either :/

i am testing the flatpak now

can you try the flatpak @danilevy1212, because my audio setup is wierd and many audio applications do no support it. Here is the flatpak link if you need it https://flathub.org/apps/details/org.js.nuclear.Nuclear

OK, I tested the flatpak my self, and the app works fine, except I get this wierd error

I will report to upstream nuclear js

Here is the upstream issue
https://github.com/nukeop/nuclear/issues/1178

Thanks so much @jakobneufeld, should we open another issue upstream for the AppImage too?

So curious, I've found about this Music Player today :).
FYI, @jakobneufeld your GitHub issue is the same as https://github.com/nukeop/nuclear/issues/1081. According to the developer, if you build master, it should work (they haven't thrown the release with the fix yet). I am going to test it right now, because as you said, even though I get that error message, I can get the Flatpak to work and download music, but not the NixOS version.

We have 3 options

Fix the app image with upstream (lots of work)
Use flatpak, and ask upstream to build flatpak with master.
We use the AUR build script and package it ourselves (lots lots lots of work)

I think the nightly release already builds it with the most recent content. I'm testing right now.

Is there are nightly flatpak. Flatpak is the best option for this package

It seems not. I am not sure how you can download a flatpak file, but Flathub does not offer it on the nightly assets, so the only option would be building it from source.
I have built this app from source and although the error message has disappeared, I get the following error when playing something:
·> ./result/bin/nuclear
      main › (node:2) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
(Use `nuclear --trace-deprecation ...` to show where the warning was created)
  renderer › Cannot read property 'sourceName' of undefined
      main › (node:2) UnhandledPromiseRejectionWarning: TypeError: Cannot read property 'write' of null
    at e.exports.send (/nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/home/runner/work/nuclear/nuclear/node_modules/discord-rpc/src/transports/ipc.js:155:17)
    at /nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/home/runner/work/nuclear/nuclear/node_modules/discord-rpc/src/client.js:166:22
    at new Promise (<anonymous>)
    at e.exports.request (/nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/home/runner/work/nuclear/nuclear/node_modules/discord-rpc/src/client.js:164:12)
    at e.exports.clearActivity (/nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/home/runner/work/nuclear/nuclear/node_modules/discord-rpc/src/client.js:550:17)
    at hn.clear (/nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/src/services/discord/index.ts:97:16)
    at da.name [as onClearTrackList] (/nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/src/controllers/player.ts:63:18)
    at IpcMainImpl.<anonymous> (/nix/store/sdmfajqr1rg4r43l2k05bhbz2c7niw20-nuclear-nightly-extracted/resources/app.asar/dist/webpack:/src/utils/container.ts:54:39)
    at IpcMainImpl.emit (events.js:315:20)
    at Object.<anonymous> (electron/js2c/browser_init.js:161:9715)
    at Object.emit (events.js:315:20)
      main › (node:2) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). To terminate the node process on unhandled promise rejection, use the CLI flag `--unhandled-rejections=strict` (see https://nodejs.org/api/cli.html#cli_unhandled_rejections_mode). (rejection id: 1)
      main › (node:2) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.
      main › error trying to set discord activity

You can dowload a flatpak ref file. Also keep in mind the I think that nuclear is in alpha. We need to link this issue with upstream if we want to continue. I appreciate that so many people came to this issue. I thought, this would be a simple package update :)

OK, I think the only way to continue, is that we build the package from master and then package that. The release  0.6.17 is to old for good NixOS use. Either we wait for a new release 0.6.18 which has all necessary bug fixes to get it working, or we build for master. How should we all continue?

@jakobneufeld There is a nightly release for the AppImage https://github.com/nukeop/nuclear/releases

I am testing the nightly appimage

I tested it out, but it's the same for me

The AUR recipe is just the .deb file + some dependencies, maybe we could try that too:

AUR recipe
NixOS packaging .deb files

@jakobneufeld There is a nightly release for the AppImage https://github.com/nukeop/nuclear/releases, from 3 days ago, maybe we could see if that one works?

This is the one I tried. It didn't work because of the error I stated before.

The AUR recipe is just the .deb file + some dependencies, maybe we could try that too:

Already tried it. Complains about missing sqlite.

OK, I think the only way to continue, is that we build the package from master and then package that. The release 0.6.17 is to old for good NixOS use. Either we wait for a new release 0.6.18 which has all necessary bug fixes to get it working, or we build for master. How should we all continue?

I would say having a nuclear nightly separate from the stable one.

OK, I think we should do two things.

Orphan or mark out of date this package
Make nuclear nightly like @WolfangAukang proposed.
Please thumps up to this comment.
Thank severyone for being so kind.
@everyone

FYI, I think we might need to wait before setting up the nightly. I just tried the new AppImage, and although the issue I had before has been fixed, I still don't have any sound playing when I click on a song.

Yeah, lets just wait for the next release 0.6.18

Nuclear music player is still in alpha I think so that is to be expected

Hey everyone, in the end, there weren't any new releases, so I created a new PR (#169347) with the latest "pre-release" available (I say pre-release because all releases are shown as pre. The only difference is that the newest ones are created by GitHub Actions).


Bug fix/display create app general errors

@pyronicide Could you have a quick look? This isn't to big of a change. It will display server errors on app creation.

@mlunoe What's the status of this? It definitely needs a rebase.

Closing for now, until we have more time to work on this


fix(nsis): default nsis compression schema is null

Before

After

That still not an issue, if user specifies null we default back to lzma

Isn't this about correcting the schema?

The schema is kinda correct, maybe just missing a documentation to explain that using null will default to lzma.
This PR has a breaking change because it changed the field from Option<T> to T and I am afraid some users may want to be able to disable compression and if that were to be requested, we will have to make another breaking change, so maybe we should take the opportunity to cover that case as well?

Right, we can include no compression as an option here

Thank you


test issue. can be deleted

Brief feature description
Please describe in a few sentences what should be implemented
Detailed information
E.g. a list of pros and cons of different considerations and how iceoryx and its user could benefit from it

dummy issue


docs: Fix a few typos

There are small typos in:

packages/dev/proceduralTextures/readme.md
what's new.md

Fixes:

Should read namespace rather than namepsace.
Should read json file rather than sjonfile.
Should read cascaded rather than cascacaded.

Semi-automated pull request generated by
https://github.com/timgates42/meticulous/blob/master/docs/NOTE.md

Please make sure to label your PR with "bug", "new feature" or "breaking change" label(s).
To prevent this PR from going to the changelog marked it with the "skip changelog" label.

There is no need to update the "what's new.md" file. A changelog will be generated using the PR and its tags.

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