Create a user profile edit page

Front end, create a user profile edit page in which use would use react hook forms and material ui to create an edit page for user .
Action Items
use dummy data from User2.json
place code into UserProfileEdit.js under pages>Admin>userProfile
create edit field for these properties
firstName
lastName
email
phone
streetAddress
Street number
street name
city
zipCode
state
role: admin, surveyor
status: active, disabled
Resources
Use how login form was created to help guide your design
https://react-hook-form.com/

completed closing issue


Create and add logo?

Placeholder - Michael Blanks is looking into this

Affirm - Working on the logo items. Hope share drafts by 12/3.

First examples from Michael

These all look great to me.
I guess if I had to pick, I would choose number 2.
Thank you and best regards,
Joe
Joseph B. Rickert
RStudio R Community Ambassador
R Consortium Director
Cell:<PHONE_NUMBER>
On Sat, Dec 9, 2017 at 11:38 AM, James Black<EMAIL_ADDRESS>wrote:

First examples from Michael
[image: rpharmalogos]
https://user-images.githubusercontent.com/2760096/33798860-cf3437f6-dd20-11e7-906b-f2c875636ccd.png
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
https://github.com/RConsortium/r-pharma/issues/3#issuecomment-350500414,
or mute the thread
https://github.com/notifications/unsubscribe-auth/AButVsU-_Mg6A9eFdzwUboFXs_KS1vLKks5s-uGdgaJpZM4Qugoc
.

Hi @mblanks  - once the logo is ready we can upload it to the site.

Dynamic Text versus Static Image in the banner - do we want to remove the title and use this instead ?

I think having the logo as a file might be better then pre rendered on the header, as the page is reactive the buttons on the header move around a lot depending on the size of device the user has.

I guess getting your new header would be good as well (to replace the darker one there right now).


Android embedding v2

This migrates the plugin to Flutters V2 Android embedding.
As part of the migration, E2E tests were added and can be used to verify the functionality on the actual target device.
Bumps version to 0.6.1

@ened Thanks for this PR!
Just a quick question, I haven't had the time to look into this new android plugin engine thing, but is it a breaking change?

@nashfive it's not breaking, which is verified by the E2E test in example/android.
You can run those tests (which verify the plugin works with old and new embedding) by following the steps here: https://pub.dev/packages/e2e#android-device-testing.
The major improvement on this PR is the addition of E2E testing in general. You will be able to write tests that verify the actual libPhonenumber calls on end devices.

Thanks, I was thinking more about the tooling and the sdk. But I guess that the pub get command will handle that.

Ah, you may be referring to this part:
environment:
   sdk: ">=2.3.0 <3.0.0"
   flutter: ">=1.12.13+hotfix.6 <2.0.0"

And yes, pub will handle. Note that Flutter 1.12.13 is the current stable version and 1.12.13+hotfix.6 is the version which is recommended for E2E test integration (details here: https://flutter.dev/docs/development/packages-and-plugins/plugin-api-migration).


added sqlint as a maker for sql

@sbdchd
This needs to be rebased?!

rebased

Thanks.
Resolved the conflict, and sorted the README to avoid that in the future.


[Bug] --exclude doesn't work when --defer flag is provided

Is there an existing issue for this?

[X] I have searched the existing issues

Current Behavior
it runs the model in --exclude while it has --defer in the dbt command whether the model is included in --select or not.
Expected Behavior
dbt should exclude the model specified after --exclude whether it is included in --select when --defer is provided. In other words, --exclude overrides --select.
Steps To Reproduce
run a project with dbt run --select state:modified+1 --exclude m --state /tmp/tmp.daf --defer --target tgt
Relevant log output
same as the usual dbt logs but runs the excluded ones

Environment
- OS: ubuntu 20.04
- Python: 3.7.9
- dbt: 1.0.1

What database are you using dbt with?
redshift
Additional Context
No response

Hey @AndrewCanva, thanks for opening this, and sorry for getting back to you late. I looked up the test case and seems like we don't have test coverage of mixing --defer and --exclude together. To get more information related to this, I have two questions.

Does the --exclude work as expected in the case --defer is not provided?
are the model/s in --exclude exists in the --state /tmp/tmp.daf?

We probably should exclude those model/s regarding the answer to the questions, but more information is always helpful. Thanks!

--exclude works when `--defer is not provided
the model in --exclude is in the --state /tmp/tmp.daf

@jtcohen6 ah, I know why it doesn't exclude the model when I run it. it is not related to defer, what I did in a script is
local args="--exclude m"
dbt run --select state:modified+1 "${args}" --state /tmp/tmp.daf --defer --target tgt

when I remove the double quotes, it works fine
local args="--exclude m"
dbt run --select state:modified+1 ${args} --state /tmp/tmp.daf --defer --target tgt

what's confusing is that dbt ignore the --exclude and takes "${args}" as m.
that's probably because of argparse, I will close it if you don't regard it as a bug.

Ahh, that's a weird one all right. We're talking about refactoring the dbt CLI (https://github.com/dbt-labs/dbt-core/issues/4179, https://github.com/dbt-labs/dbt-core/issues/4475). That work might include moving away from argparse, given some of its shortcomings. I think we should close the issue, and I'm happy to have it linked from there for visibility.


Google suts

I am having trouble running a benchmark with this. I get:
Traceback (most recent call last):
  File "/home/william/projects/mlcommons/modelbench/src/modelbench/benchmark_runner.py", line 330, in handle_item
    raw_response = mg_sut.evaluate(raw_request)
  File "/home/william/projects/mlcommons/modelbench/plugins/google/modelgauge/suts/google_genai_client.py", line 81, in evaluate
    return GoogleGenAiResponse(**response.to_dict())
  File "/home/william/.cache/pypoetry/virtualenvs/modelbench-NLtplA-d-py3.10/lib/python3.10/site-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for GoogleGenAiResponse
candidates.0.content
  Field required [type=missing, input_value={'finish_reason': 3, 'ind...[], 'avg_logprobs': 0.0}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.9/v/missing

@wpietri The latest changes incorporate the ability for a google SUT to recognize a response refusal as a valid response.


Update solc to 0.8.7

What was wrong?
We were using solc 0.8.4, which doesn't support the (London) basefee opcode.
solc 0.8.10 breaks the mac ci build, so 0.8.7 it is for now.
Closes #108 I suppose.
How was it fixed?
Updated solc-rust to solc 0.8.7. I also removed bindgen from the dependency graph to speed up builds a hair.
To-Do

[ ] OPTIONAL: Update Spec if applicable

[ ] Add entry to the release notes (may forgo for trivial changes)

[ ] Clean up commit history

Codecov Report

Merging #613 (3763762) into master (2e25589) will decrease coverage by 0.01%.
The diff coverage is 100.00%.

:exclamation: Current head 3763762 differs from pull request most recent head beedc64. Consider uploading reports for the commit beedc64 to get more accurate results

@@            Coverage Diff             @@
##           master     #613      +/-   ##
==========================================
- Coverage   86.60%   86.58%   -0.02%
==========================================
  Files          96       96
  Lines        8247     8247
==========================================
- Hits         7142     7141       -1
- Misses       1105     1106       +1

Impacted Files
Coverage Δ

crates/yulc/src/lib.rs
88.46% <100.00%> (ø)

crates/analyzer/src/context.rs
78.40% <0.00%> (-1.14%)
:arrow_down:

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 2e25589...beedc64. Read the comment docs.


Fastnlight: Blacklist arbgit.com

Fastnlight requests the blacklist of the website arbgit\.com. See the MS search here and the Stack Exchange search in text, in URLs, and in code.

arbgit\.com has been seen in 5 true positives, 0 false positives, and 0 NAAs.

Approved by ArtOfCode in Charcoal HQ


Future of AOT

#https://github.com/dotnet/coreclr/commit/0cc81b60eb184c92b8526348d4bb056ed563e9d6
#https://github.com/dotnet/corefx/commit/1acaa2017cfc64ef1aabcf3b19d0e097af692616
As we all know，development for .NET5 has started and this project is like a forgotten corner，so in the next year（until November 2020）will MS invest more to this？
And will AOT of C#（either corert or mono aot）support more processor structure such as MIPS or RISCV？
Hope your reply.

corert's version number is still 1.0.0-alpha-* it works on top of coreclr
(e.g. netcoreapp2.2, netcoreapp3.0, ...)

corert's version number is still 1.0.0-alpha-* it works on top of coreclr
(e.g. netcoreapp2.2, netcoreapp3.0, ...)

Yes I know，however I want to know what will you （and MS）do in the next year.

https://www.youtube.com/watch?v=Mvy5cC_I9Qg
Video is in Russian. Presentation in English.

.


ZeldaLinkAaron optifine beds

Made beds have a more 3D model with Optifine

For situations like this, I think it would help if you included screenshots. Also you can have 3d beds without needing optifine.

@ZeldaLinkAaron

Also, I've not seen anything anywhere about how to modify entity models without creating a mod or using optifine.

I also noticed a little broken texture on the rest of the beds, I'll fix this in my working branch later.

Pretty sure beds are no longer entities in 1.13/1.14

I don't see them not being entities anymore and if they weren't entities, how would I be able to change their entity model?

Hm. Thought they undid that for the flattening. The only reason they had to be tile entities before was due to the limitations of the old 16 meta values.


Screen time storyteller pipe

[PR] Implement Screen Time Storyteller Pipe
Description
This PR implements a new pipe called "Screen Time Storyteller" for Screenpipe. The pipe analyzes user's 24/7 screen recordings and generates personalized, humorous roasts about their digital habits. It aims to provide insights and motivation for improving productivity through AI-powered feedback.
Related issue: #365
Fixes: #365
/claim #365
Type of change

[x] New feature (non-breaking change which adds functionality)

How to test

Checkout this branch
Install dependencies
Run Screenpipe with the new Screen Time Storyteller pipe enabled
Check the generated narrative summary for personalized insights and humor

Screenshot

Additional notes
A YouTube video demonstrating the Screen Time Storyteller pipe has been created and published at https://youtu.be/XMVvkk0M7jQ. The video showcases the functionality and DIY
No Reddit post was made; not a frequent Redditor so i don't have enough karma to post.

nice work!
let me time to test out

@louis030195 @onyedikachi-david From my understanding this is just going to use the first 50 ocr results from the previous day. If that is the case it could be helpful to build a random or uniform option that grabs a random or uniformly distributed 100 ocr results or so within a time period. This could simplify pipes that want to do some sort of analysis over larger time periods.

@louis030195 @onyedikachi-david From my understanding this is just going to use the first 50 ocr results from the previous day. If that is the case it could be helpful to build a random or uniform option that grabs a random or uniformly distributed 100 ocr results or so within a time period. This could simplify pipes that want to do some sort of analysis over larger time periods.

Nice, that's a good suggestion. The main constraint is the AI context window, so even if it is a uniform time-based period, we're still limited in how many OCR results we can include. However, implementing a random or uniform sampling option could indeed provide better coverage over larger time periods.
I would have done more testing, but due to the cost of each iteration @cparish312

Done @louis030195

I am thinking of implementing another pipe that logs your activity on github readme daily.

@onyedikachi-david for the cost DM me on discord i'll give you an openai key "louis030195"

@onyedikachi-david hey yesterday did large refactor of how pipes work internally, which slightly change the API
like
pipe.queryScreenpipe -> queryScreenpipe
check pipes in the examples folder
basically we use Deno
you can use dependencies now
check this one to use dependencies https://github.com/mediar-ai/screenpipe/blob/main/examples/typescript/pipe-llama32-comment-linear-while-you-work/pipe.ts
this is how you use imports in deno https://github.com/mediar-ai/screenpipe/blob/main/examples/typescript/pipe-llama32-comment-linear-while-you-work/deno.json
rest did not change much, same way to install pipes etc
also if you could use https://github.com/vercel/ai for the AI calls that would be awesome, it's an amazing lib and want people to use it to simplify dev
hope it's not too much ask, then will merge and can move on to other pipes

@louis030195 @onyedikachi-david From my understanding this is just going to use the first 50 ocr results from the previous day. If that is the case it could be helpful to build a random or uniform option that grabs a random or uniformly distributed 100 ocr results or so within a time period. This could simplify pipes that want to do some sort of analysis over larger time periods.

good idea!
indeed we are still trying to find ways to fit days/weeks of data into LLM prompt which is hard

@louis030195 @onyedikachi-david From my understanding this is just going to use the first 50 ocr results from the previous day. If that is the case it could be helpful to build a random or uniform option that grabs a random or uniformly distributed 100 ocr results or so within a time period. This could simplify pipes that want to do some sort of analysis over larger time periods.

good idea!
indeed we are still trying to find ways to fit days/weeks of data into LLM prompt which is hard

Use vector db search maybe?

For a generic task like this pipeline or I'm working on building out a "here are 25 related articles" using exa.ai search not sure a vector db search is the best option. I'm working on some efficient larger scale summarization / topic extraction algos, such as de duplicating and clustering. Very open to any suggestions!

For a generic task like this pipeline or I'm working on building out a "here are 25 related articles" using exa.ai search, not sure a vector db search is the best option. I'm working on some efficient larger scale summarization / topic extraction algos, such as de duplicating and clustering. Very open to any suggestions!

we are working on adding embeddings & vector search in the future but the biggest issue is latency and resource usage, it should not overload people's computer and add delay for real time compute
we're going to experiment indexing recordings using embeddings at night or when the user is not using the computer, likely using multimodal
vector search is still not perfect, it's just returning most similar result to the query, which does not solve all the search use cases but likely can improve some relevancy use cases
something i experimented is a kind of recursive summarisation: https://github.com/mediar-ai/screenpipe/blob/main/examples/typescript/pipe-email-daily-log/pipe.ts
basically generate concise logs of tags, topics, summaries throughout the day and then feed all into the LLM and ask for a summary
i think this combined with vector search could be powerful
we could also experiment embeddings in the pipes, say embed a full day of data then generate a summary, something, before we have it in the core of screenpipe codebase
regarding deduplication i used previously either embeddings or string similarity heuristics, works well

Done.

@onyedikachi-david thanks  for the contribution :)
/approve


percentage-based Y-axis?

Hello,
Thank you for the awesome stock chart library. I am looking to change the y-axis scale of my chart to be percentage based, similar to the yahoo finance chart option. This would set the scale as a percent change from the first visible close price on the chart.
I looked through all the examples and the only one that looked similar to what I wanted was the comparison chart, and that one is different enough that I couldn't see how it would work for a single stock.
Does this feature presently exist, or would I need to implement the yExtents myself? If so, can you point me in the right direction? I would need to calculate it based on all the visible data, is that straightforward to do?
Thanks for the good work.

See example yahoo chart here.

well, You might set some wrapper on Yaxis tickFormat.
smth like that

<YAxis
axisAt="right"
orient="right"
ticks={5}
tickFormat={v => ${value / 100}%}
/>

Changing the tickformat doesn't change the values, just how they are displayed. I was able to mostly resolve it by supplying a postCalculator like so:
const percentCalculator = ((plotData) => {
	const plotDataCopy = cloneDeep(plotData)
	const firstClose = plotDataCopy[0].close
	plotDataCopy.map(d => {
		d.open   = (d.open   - firstClose) / firstClose;
		d.high   = (d.high   - firstClose) / firstClose;
		d.low    = (d.low    - firstClose) / firstClose;
	 	d.close  = (d.close  - firstClose) / firstClose;
		d.ema20  = (d.ema20  - firstClose) / firstClose;
		d.ema50  = (d.ema50  - firstClose) / firstClose;
		d.ema100 = (d.ema100 - firstClose) / firstClose;
		d.ema200 = (d.ema200 - firstClose) / firstClose;
		return d
	})
	return plotDataCopy
})

But now where I am stuck is the postCalculator is applied to the chartCanvas, not to a specific chart. So the data changes apply to all the charts on the canvas, not just a single chart like what I want.

Okay I figured out that problem too. Each component pulls it's data from the accessor, so all I need to do is save the data from percentCalculator in different keys (d.relOpen, d.relHigh, etc.), then I can override the accessor functions when wanted. So for a line series, I can set yAccessor={d => d.relEma20}, but leave the MovingAverageTooltip ema20 yAccessor set to the default ema20.accessor().
This way I can have the graph display percent changes, but the tooltips still display the original values.


test, integ: clean auto_routes and auto_dns only in the needed tests

In some platforms it is not possible to lose the connectivity during a
long time. In order to fix this, we are only cleaning auto_dns and
auto_routes in the tests when necessary.
Signed-off-by: Fernando Fernandez Mancera<EMAIL_ADDRESS>

BTW, you could also add this as a pytest argument, so if mentioned, it will cleanup and if not it will avoid it.
Adding this inside the tests themselfes can be left as is, maybe just extracting it out to a fixture and the top level (with function scope).

The change itself looks fine as long as we indeed only need it for a single test.
We have been using this "clean" just because of one single test? It sounds a bit weird to me.
Have you tracked down the reason for adding it in the first place?
It is worth also mentioning this in the commit message, as anyone seeing this change in the future may ask the same question.

We were doing it because a test were failing. Initially it was not an issue to lose the connectivity but openstack is having some issues. IMO, a fixture is not needed because it is only one test.

IMO, a fixture is not needed because it is only one test.

Fixtures separate setup/teardown of tests from the actual test itself. Failing in a fixture expresses differently as well. It does not really matter how many users it has.
If you want to limit it to only this module, you can define it there and not globally.

Done, thanks!

Thank you!
Please note that the other cleanup (DNS, routes and rules) are still in place at the session level.

Yes, that is intended :-)


Make method handling compatible with APT logic

Could you also add a few test cases to GenericExperterTest, configured with propertyHandling directly?
Also, there is no propertyHandling equivalent for export_handle_no_methods_nor_fields() , is that right?

If we also deprecate the fields, we'll notice faster that we have to remove it.
Or do you think it's fine like this?
Other than that, looks good to me.


Out of range on sequence: show message on tooltip on click annotation

Merge into feature/sync-sequence
:pushpin: References

Issue: Closes https://app.clickup.com/t/d52cg6

:memo: Implementation

Out of range annotation
Chunk when many Uniprot IDs
Created cache wrapper for all requests
Removed BLAST, was set almost true for all tracks (which I don't quite know if it should be like that)
Quick style mod: Gene viewer subtrack
Fix loading stop showing when was still loading

:art: Screenshots

Note for the cache feature: I used Session Storage to delete the data when the user closes the browser. Unfortunately, that makes also the data not accessible between other windows or tabs. But I think it is best to make the data be deleted when the tab is closed.


Add ChilliBits.ComposeGenerator version 0.8.0

[x] Have you signed the Contributor License Agreement?
[x] Have you checked that there aren't other open pull requests for the same manifest update/change?

[x] Does your manifest conform to the 1.0 schema?

Note: <path> is the name of the directory containing the manifest you're submitting.

Microsoft Reviewers: Open in CodeFlow

This pipeline failure might also be caused by the issue, described in #19328

@jamespik shouldn't this be auto-merged?


lean-web-editor

@cipher1024 suggested that I PR my version of the lean-web-editor here.
Thanks to @semorrison for kindly agreeing to host the emscripten files and the zip bundle that the web editor relies on!

Hi @bryangingechen, could you quickly explain where this will end up deployed?

Sure, I think it should end up at https://leanprover-community.github.io/lean-web-editor

Oh wait, do I need to do something with the jekyll config to get this to work?

Thanks! This looks nice. When I test it locally, Lean runs extremely slowly. (The editor is perfectly responsive, but it takes ages to check a few lines.) Any idea why?
I suppose we can just merge and test it in production.

The production version is much faster. Not sure what the difference is!

Strange - I'm getting CORS errors for the file https://tqft.net/lean/web-editor/lean_js_wasm.wasm when I visit https://leanprover-community.github.io/lean-web-editor. Following up with @semorrison on Zulip...

Is there a way to make several versions available?

Several versions of community Lean? Yes, but it would take some work. What did you have in mind?


Right-clicking on link could have "Copy URL" option

In the Windows client, this option is missing: right-clicking an URL and copying the URL to the clipboard (like "Copy link address" from Chrome).

Duplicate of https://github.com/RocketChat/Rocket.Chat.Electron/issues/215


RuntimeError: CUDA error: no kernel image is available for execution on the device

I have installed mmdetection as per the instructions, ensuring the PyTorch version is inline with the CUDA requirements but I still get a CUDA error when running analysis. I would very much appreciate any guidance.
Many thanks in advance.
Reproduction

What command or script did you run?

tools/train.py train_baseline_config.py

Environment
sys.platform: linux
Python: 3.6.9 (default, Nov  7 2019, 10:44:02) [GCC 8.3.0]
CUDA available: True
CUDA_HOME: /vol/cuda/10.0.130-cudnn<IP_ADDRESS>
NVCC: Cuda compilation tools, release 10.0, V10.0.130
GPU 0,1: Tesla T4
GCC: gcc (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
PyTorch: 1.4.0+cu100
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CUDA Runtime 10.0
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
  - CuDNN 7.6.3
  - Magma 2.5.1
  - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,

TorchVision: 0.5.0+cu100
OpenCV: 4.2.0
MMCV: 0.6.1
MMDetection: 2.1.0+bf9638a
MMDetection Compiler: GCC 7.4
MMDetection CUDA Compiler: 10.0

Error traceback
If applicable, paste the error trackback here.
Traceback (most recent call last):
  File "mmdetection/tools/train.py", line 161, in <module>
    main()
  File "mmdetection/tools/train.py", line 157, in main
    meta=meta)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/apis/train.py", line 179, in train_detector
    runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
  File "/vol/bitbucket/shp2918/_venv/lib/python3.6/site-packages/mmcv/runner/epoch_based_runner.py", line 122, in run
    epoch_runner(data_loaders[i], **kwargs)
  File "/vol/bitbucket/shp2918/_venv/lib/python3.6/site-packages/mmcv/runner/epoch_based_runner.py", line 35, in train
    self.model, data_batch, train_mode=True, **kwargs)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/apis/train.py", line 74, in batch_processor
    losses = model(**data)
  File "/vol/bitbucket/shp2918/_venv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__
    result = self.forward(*input, **kwargs)
  File "/vol/bitbucket/shp2918/_venv/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 150, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "/vol/bitbucket/shp2918/_venv/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__
    result = self.forward(*input, **kwargs)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/core/fp16/decorators.py", line 51, in new_func
    return old_func(*args, **kwargs)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/models/detectors/base.py", line 148, in forward
    return self.forward_train(img, img_metas, **kwargs)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/models/detectors/two_stage.py", line 149, in forward_train
    proposal_cfg=proposal_cfg)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/models/dense_heads/base_dense_head.py", line 37, in forward_train
    proposal_list = self.get_bboxes(*outs, img_metas, cfg=proposal_cfg)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/core/fp16/decorators.py", line 131, in new_func
    return old_func(*args, **kwargs)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/models/dense_heads/anchor_head.py", line 496, in get_bboxes
    scale_factor, cfg, rescale)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/models/dense_heads/rpn_head.py", line 120, in _get_bboxes_single
    dets, keep = batched_nms(proposals, scores, ids, nms_cfg)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/ops/nms/nms_wrapper.py", line 154, in batched_nms
    torch.cat([bboxes_for_nms, scores[:, None]], -1), **nms_cfg_)
  File "/vol/bitbucket/shp2918/mmdetection/mmdet/ops/nms/nms_wrapper.py", line 53, in nms
    inds = nms_ext.nms(dets_th, iou_thr)
RuntimeError: CUDA error: no kernel image is available for execution on the device (launch_kernel at /pytorch/aten/src/ATen/native/cuda/Loops.cuh:103)

Did you build mmdetection on the same server?

I'm not sure if I've 100% understood the question properly but yes, I cloned the git repo, set CUDA_HOME, made sure that torch.cuda.is_available() returned true and installed mmdetection using python setup.py develop.

@hellock  @sehyungp92 Even I am facing the same error. How did you manage to fix it?
The output of collect_env.py is as follows:
`sys.platform: linux
Python: 3.6.10 |Anaconda, Inc.| (default, Mar 25 2020, 23:51:54) [GCC 7.3.0]
CUDA available: True
CUDA_HOME: /usr/local/cuda-10.1
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GPU 0: Tesla V100-SXM2-16GB
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 1.4.0
PyTorch compiling details: PyTorch built with:

GCC 7.3
Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc)
OpenMP 201511 (a.k.a. OpenMP 4.5)
NNPACK is enabled
CUDA Runtime 10.1
NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
CuDNN 7.6.3
Magma 2.5.1
Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Wno-stringop-overflow, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,

TorchVision: 0.5.0
OpenCV: 4.2.0
MMCV: 0.6.1
MMDetection: 2.1.0+264fdf6
MMDetection Compiler: GCC 7.5
MMDetection CUDA Compiler: 10.1
`

I believe PyTorch needs to be built with GCC 7.5

@sehyungp92 I'm actually running the default pytorch_p36 env from AWS, how do I fix this issue?

I'm not sure unfortunately. Maybe set TORCH_CUDA_ARCH_LIST to include the required compute capability?

I'm sorry I did not exactly understand. What would I set TORCH_CUDA_ARCH_LIST to? I'm currently running on Tesla V100.
Also, do you mean building mmdetection again with the following code or am I missing something?
TORCH_CUDA_ARCH_LIST = "XYZ" python setup.py develop

Hi @ashwinvaswani @sehyungp92 I also encountered the same problem: CUDA error: no kernel image is available for execution on the device
My environment is as follows:
sys.platform: linux
Python: 3.7.7 (default, Mar 23 2020, 22:36:06) [GCC 7.3.0]
CUDA available: True
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.0, V10.0.130
GPU 0,1,2,3,4,5,6,7: Tesla V100-PCIE-32GB
GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)
PyTorch: 1.5.0a0+4ff3872
PyTorch compiling details: PyTorch built with:
  - GCC 5.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2019.0.1 Product Build 20180928 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc)
  - OpenMP 201307 (a.k.a. OpenMP 4.0)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.0
  - NVCC architecture flags: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_70,code=compute_70
  - CuDNN 7.6.4
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DNDEBUG -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_INTERNAL_THREADPOOL_IMPL -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format, FORCE_FALLBACK_CUDA_MPI=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,

TorchVision: 0.6.0
OpenCV: 4.4.0
MMCV: 1.0.5
MMDetection: 2.3.0+b97322e
MMDetection Compiler: GCC 5.3
MMDetection CUDA Compiler: 10.0

How can I solve this problem?

@Richie-yan In my case, the error was due to Pytorch being built on a different version of cuda than the standard one installed on my machine. For some reason I had both cuda 10 and 10.1 installed on my machine and Pytorch was installed with cuda 10.1 but cuda 10 was being used by default. Hope it helps!

@ashwinvaswani Hi , I had both cuda 10.1 and 11.1 installed on my machine, how to check which cuda version that Pytorch was used by default? and how to change it?


newgem_spec.rb was broken with Ruby 2.7

I merged e1c518363641208429f397170354054b3d28effd into ruby/ruby at https://github.com/ruby/ruby/commit/0bd1cd677f769ac6128989bf1d021753698fdaac.
But newgem_spec.rb was broken with Ruby 2.7 same as https://travis-ci.org/rubygems/rubygems/jobs/567144945#L512
It's maybe caused eval with path.expand_path.to_s arg on https://github.com/bundler/bundler/blob/master/lib/bundler.rb#L575. But I didn't find the root cause yet.
I and @mame are investigating this issue.

I could repo without bundler, so bundler is innocent :+1:  I'll file a ticket into ruby-core bug tracker.

I'm happy to have a look too. I'll start by trying to reproduce it, thanks for reporting this!

We addressed this https://bugs.ruby-lang.org/issues/16041

Fixed at https://github.com/ruby/ruby/commit/5931857281ce45c1c277aa86d1588119ab00a955
Thanks @nobu

Nice, thanks everyone!


Fix the Username Field, to let users make new custom Names

The Username field, does not let people to change their username propley.
**See Video **
It lets them to add new things and backspace from their current username
You can fix this by doing Ctrl + A (command + A on Mac) and typing a new one. (However, that's not very user friendly)
https://www.loom.com/share/eb07df72089741cdb1aad89947ebdf8d

Good catch! There's something definitely not right with how the input works.
If no one else wants to take this up, may I? I can have a go at this after working on mobile responsiveness. 😜

Any change on this?


Added assumption that GMC is installed

Description
Added that it is assumed GMC installed before attempting to launch CodeGen pipeline in Kubernetes environment.
Issues
List the issue or RFC link this PR is working on. If there is no such link, please mark it as n/a.
Type of change
List the type of change like below. Please delete options that are not relevant.

[x] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds new functionality)
[ ] Breaking change (fix or feature that would break existing design and interface)

Dependencies
List the newly introduced 3rd party dependency if exists.
Tests
Describe the tests that you ran to verify your changes.

Making a unified one and hence cancellign this


Hyundai CAN FD: remove undefined signal

Related to https://github.com/commaai/openpilot/pull/28604 and https://github.com/commaai/opendbc/issues/869

added test in https://github.com/commaai/openpilot/pull/28763


Correction for raw affiliation Montpellier Interdisciplinary Center on Sustainable Agri-food Systems (MoISA), University of Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro

Correction needed for raw affiliation Montpellier Interdisciplinary Center on Sustainable Agri-food Systems (MoISA), University of Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro
raw_affiliation_name: Montpellier Interdisciplinary Center on Sustainable Agri-food Systems (MoISA), University of Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro
new_rors: 0005r2j17;003vg9w96;05kpkpg04;051escj72;03rnk6m14;011xg1225
previous_rors: 0005r2j17;003vg9w96;05kpkpg04;051escj72;03rnk6m14
works_examples: W4388070512
contact: 6fad3653138d3afe25635a615b033b80:6fd16e815ed6b411 @ supagro.fr

This issue was accepted and ingested by the OpenAlex team on 2024-12-19. The new affiliations should be visible within the next 7 days.


Edit Product Page

Edit product page for CS2101 product demo presentation.

Codecov Report

Merging #143 (6a9ab8f) into master (ae24af7) will not change coverage.
The diff coverage is n/a.

@@            Coverage Diff            @@
##             master     #143   +/-   ##
=========================================
  Coverage     60.84%   60.84%
  Complexity      462      462
=========================================
  Files            92       92
  Lines          1849     1849
  Branches        212      212
=========================================
  Hits           1125     1125
  Misses          647      647
  Partials         77       77

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update ae24af7...6a9ab8f. Read the comment docs.


Zaimanhua: Some comics are hidden on the web side/再漫画部分漫画在网页端被隐藏

Source information
Zaimanhua 1.4.2
Source language
Chinese
Steps to reproduce
部分书架中的漫画检查更新时提示 漫画不存在
Some bookshelves check for updates indicating that the comic does not exist.

这些漫画在WebView与浏览器中也无法打开
These comics also cannot be opened in WebView or browser.

但是可以在再漫画app中打开
But  can be opened in Zaimanhua app.

Expected behavior
所有来自再漫画的漫画都可以在mihon中更新、阅读
All comics from Zaimanhua can be updated or read in mihon.
Actual behavior
部分来自再漫画的漫画无法在mihon中更新、阅读
Some comics from Zaimanhua cannot be updated or read in mihon.
Mihon/Tachiyomi version
0.17.0
Android version
Android 13
Other details
No response
Acknowledgements

[X] I have searched the existing issues and this is a new ticket, NOT a duplicate or related to another open or closed issue.
[X] I have written a short but informative title.
[X] I have updated the app to version 0.15.3.
[X] I have updated all installed extensions.
[X] I have tried the troubleshooting guide.
[X] If this is an issue with the app itself, I should be opening an issue in the app repository.
[X] I will fill out all of the requested information in this form.

在插件设置里重新登录

确实是这个问题，解决了，感谢🙏


[For discussion] Update C++ standard requirement to 20

I think we discussed this in one of our meetings, but wanted to write it down so we won't forget about it. Right now we use C++17, but updating to C++20 would give us e.g. designated initializes. Using them would improve code readability in many places.
Not sure if all our target platforms support C++20 though.

In addition to a recent compiler toolchain, if we are thinking about using modules we would also need to bump the minimum cmake version to 3.28

Individual samples can enable 2.0 as needed.  Closing this for now


A way to get multiple suggested answers from Rasa bot with confidence scores for each.

Here is an enhancement request.
In one implementation of Rasa chat bot, we need for the bot to suggest top 5 suggested answers based on score / confidence (so obviously also need for the bot to tell us scores / confidence value for each as well).
Thanks.

@Shehzad777 In order to do this, you need to subclass PolicyEnsemble and overwrite this method: https://github.com/RasaHQ/rasa_core/blob/93101815832cc00dc81d71f6e9d5eccd7f96ca17/rasa_core/policies/ensemble.py#L78

Thanks @Ghostvv. Can you please elaborate or help out with this overwriting. Just a high level info would be good enough.

@Shehzad777 For example the standard ensemble that is used in rasa_core is SimplePolicyEnsemble. It subclasses PolicyEnsemble and overwrites this method: https://github.com/RasaHQ/rasa_core/blob/7ca2a23473a52d0054bc35052e8ddad13ab2447c/rasa_core/policies/ensemble.py#L209 and return the probabilities from the policy that provide the maximum confidence. Then the action with maximum confidence is picked by https://github.com/RasaHQ/rasa_core/blob/7ca2a23473a52d0054bc35052e8ddad13ab2447c/rasa_core/policies/ensemble.py#L82.
Please take a look at the body of these functions. In your custom class you would need to substitute the logic there with the one that gives what you need.
So in order to pick 5 best actions I would overwrite probabilities_using_best_policy to create an array of probabilities with maximum confidences for each action. And then in predict_next_action find 5 indices that have maximum confidence.
Please be aware that standard rasa_core.processor.MessageProcessor uses only 1 index here: https://github.com/RasaHQ/rasa_core/blob/7ca2a23473a52d0054bc35052e8ddad13ab2447c/rasa_core/processor.py#L405. So you would probably need to change that as well.
Please let me know if you have any questions.

Thanks @Ghostvv. I really appreciate it. Let me get back to you if I have any queries.

@Ghostvv How can I register my custom PolicyEnsemble subclass? I mean is it passed as an argument to agent.load() or some other function?

I'm guessing you had no more questions - so i'll close this issue for now.


[CLI] wandb.watch causes RuntimeError: Output 0 of BackwardHookFunctionBackward is a view and is being modified inplace. during the forward pass

Description
Calling wandb.watch on a PyTorch model causes a RuntimeError during the forward pass of said model. The error seems to be related to hooks:
RuntimeError: Output 0 of BackwardHookFunctionBackward is a view and is being modified inplace. This view was created inside a custom Function (or because an input was returned as-is) and the autograd logic to handle view+inplace would override the custom backward associated with the custom Function, leading to incorrect gradients. This behavior is forbidden. You can remove this warning by cloning the output of the custom Function.

Wandb features
wandb.watch on a PyTorch model
How to reproduce
Running the code below reproduces the error:
import wandb
from torch.utils.data import DataLoader
from torchvision.models import resnet18
from torchvision.datasets import FakeData
from torchvision.transforms import ToTensor

def main():
    data = FakeData(transform=ToTensor())
    dataloader = DataLoader(data)
    model = resnet18()
    wandb.init()
    wandb.watch(model)
    input, _ = next(iter(dataloader))
    model(input)

if __name__ == '__main__':
    main()

By omitting the wandb.watch(model) line, there are no errors and the code executes successfully.
Environment

OS: Ubuntu 18.04.5 LTS (x86_64)
Environment: conda
Python version: 3.8 (64-bit runtime)
wandb version: 0.10.29
PyTorch version: 1.9.0.dev20210502
Torchaudio version: 0.9.0.dev20210502
Torchvision version: 0.10.0.dev20210502

Additional context
Perhaps this is related to https://github.com/wandb/client/issues/2140

Yep, this is indeed related to the other ticket.  I'm working on a PR  to add a way to override this behavior that should land in the next release.

If I understand correctly, that PR adds an option to use register_backward_hook instead of register_full_backward_hook?
I actually believe using register_full_backward_hook is the correct thing to do, seeing as register_backward_hook is a deprecated function.
Note that on wandb version 0.10.27 the reproduction code produces the following warning:
UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.

I don't think register_full_backward_hook is the cause of the original RuntimeError, but rather the logic of the hook registered by wandb.watch.

I encountered this also, downgrading to torchvision 0.8.2 solved the issue for me, in case thats of any help
Pytorch forums thread


Can't retrieve certificate when forcing SSL with .htaccess

Greetings again :)
First of all my apologies for my bad English.
On topic:
When i'm trying to install Let's Encrypt based certificates on for example a HTML site. It does work without .htaccess redirects to https, but if they exist, the challenge cannot be completed.
I'm not sure if thats normal or not. I'm wondering how auto renewal will behave with this seems to be issue.
I've found a work around for the .htaccess, where te REMOTE_ADDR is the main IP of your server:
#Force SSL
RewriteEngine On
RewriteCond %{HTTPS} !=on
RewriteCond %{REMOTE_ADDR} !^<IP_ADDRESS>$
RewriteRule ^.$ https://%{SERVER_NAME}%{REQUEST_URI} [R=301,L]
RewriteCond %{HTTP_HOST} !^www.
RewriteCond %{REMOTE_ADDR} !^<IP_ADDRESS>$
RewriteRule . https://www.%{HTTP_HOST}%{REQUEST_URI} [L,R=301]

The HTTP-01 challenge, which is used for Domain Validation, requires the validation file to be server over http.
Your current .htaccess file doesn't work with the validation, unless you add the IP adress of the ACME client. It also includes multiple redirects if you visit http://example.com/ (First a redirect http://example.com => https://example.com, and after that a redirect https://example.com => https://www.example.com)
I suggest you to use the following .htaccess file:
RewriteEngine On
# prepend www. to url if host not starts with www.
RewriteCond %{HTTP_HOST} !^www\.
RewriteCond %{REQUEST_URI} !\.well-known
RewriteRule (.*) https://www.%{HTTP_HOST}%{REQUEST_URI} [R=301,L]
# enforce HTTPS if url does start with www.
RewriteCond %{HTTPS} off
RewriteCond %{REQUEST_URI} !\.well-known
RewriteRule (.*) https://%{HTTP_HOST}%{REQUEST_URI} [R=301,L]

Maybe its even better to include also the acme-challenge dir to the ignore path.

The Challenge doesn't require it, it's a configurable option. So perhaps this could be a configurable option as well? Once installed, it's likely that the site is forced over HTTPS.

I used the Let's Encrypt client a few times now on sites that already forced https. For the client that does not seem to be a problem.

I've experimented a little bit with the Custom Apache Templates, you can create in /usr/local/directadmin/data/templates/custom/
I've added the following code to:

virtual_host2.conf
virtual_host2_secure.conf

<Location /.well-known>
Require all granted
RewriteEngine On
RewriteCond %{HTTPS} on
RewriteRule ^.*$ http://%{SERVER_NAME}%{REQUEST_URI} [R=301,L]
</Location>

You can even simplify it per file, to explain my code:
First of all i grant all access to /.well-known
Second and lastly i make sure the request is done over plain old HTTP (NON SSL) in case someone else is forcing SSL by .htaccess for example.
I didn;t experiment with subdomains, but this seems to work for me. Now i don't have to examine every user/.htaccess fule
Again my apologies for the bad English:P

I couldn't find where Let's Encrypt states a http-connection is needed? I have a few websites on a different server with Nginx which have HTST enabled and rewrite all urls to https, but it was no problem for de LE client using webroot?

When traffic is forced over https:// it will fail if there is no valid SSL certificate.

I think this is a something i'll need to look at. Most sites are indeed forced to HTTPs, so it should also work over HTTPS (for reissuing).


Replace direct Slack link by the redirect

squash me pls

FTR https://github.com/wiremock/wiremock.org-sources/issues/31


[IDEA] Flash all controls on first launch

Problem Summary
Based on https://github.com/nvlgzr/fngrng/discussions/3, it's clear that some of the controls are difficult to find, esp. the "Imitate Layout" toggle. For those without QWERTY keyboards, layout imitation actually breaks the experience.
Idea(s) for How to Solve It
My hope is that flashing all the controls on "startup" will ensure that folks who encounter such issues will know to mouse all the way down to those lower controls while exploring the app as new users.
What alternatives have you considered?

An explicit onboarding workflow
Display all controls when mousing, rather than doing it in groups

I've tried the latter, and it doesn't really work because every accidental graze of the cursor ends up filling the entire screen with colorful distractions!

I've decided to try a different approach: ⇧⌃? (with permanent affordance) to toggle visibility on all non-dropdown settings, even mid-gameplay. My hope is that this solves the discovery problem without having to "push" the controls.


Extracting

Can't seem to extract to the directory I want.
Finally managed to get this installed properly and it works great.
In the setup I used the download dir:  -v /home/user/downloads:/downloads
all downloaded files go to /downloads
I wish to extract to folder  /home/user/plex/tv  but nothing shows up there after extracting
files extract fine if I choose the option: Extract archives in the downloads directory
How can I fix this?

I don't use the extraction feature myself, but it seems like you might need to define another path:
-v /home/user/plex/tv:/tmp

The suggestion solution is correct. Please re-create this issue if you're still having problems.


Maestral does not appear in menu bar

Describe the bug
Maestral seems to be running correctly but I can't access the gui. The icon is no longer in the menu bar (with Bartender) and the command line does not work (e.g. "maestral gui" returns "zsh: command not found: maestral")
To Reproduce
Tried restarting/rebooting
Expected behaviour
I used to be able to see the Maestral icon and click on it to change settings
System:

Maestral version: 1.7.0
Python version: 3.8.8
OS: [e.g. Ubuntu] macOS 13.2.1
Desktop environment: [e.g. Gnome 3.32] Finder
PyQt version (for Linux GUI):5.9.2

Thank you
Bob

If its one of those fancy MacBook Pros with a notch, an issue which I have seen in the past is that icons may be hidden behind it. Otherwise:

Maestral typically runs two processes, one sync daemon and one GUI process. They will both show up in activity monitor, but only the GUI process will have an app icon next to it in the list. Can you see both?
The CLI is a simple symlink to /Applications/Maestral.app/Contents/MacOS/maestral-cli. You can always create it yourself by running:ln -s /Applications/Maestral.app/Contents/MacOS/maestral-cli /usr/local/bin/maestral

No, intel macbook pro, no notch
When I start the Maestral app I only see the app, not the sync process.
If I then go to the command line and type

/Applications/Maestral.app/Contents/MacOS/maestral-cli start

Then Activity Monitor shows 2 of the Maestral sync processes (no icon)
(and in fact I just checked back, there are 3 of them now, 2 of which use 0% CPU)
I tried to access the gui by typing:

/Applications/Maestral.app/Contents/MacOS/maestral-cli gui

and I get the output

app_packages/rubicon/init.py:5: DeprecationWarning: Deprecated call to pkg_resources.declare_namespace('rubicon').
Implementing implicit namespace packages (as specified in PEP 420) is preferred to pkg_resources.declare_namespace. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages

I’m seeing something similar. On my main Mac, running MacOS Ventura 13.2.1, Maestral 1.7.0 seems to be running just fine. But on one of my old Macs, an old Intel MBP running MacOS Big Sur 11.7.4 (most recent OS supported), the GUI will launch but never appears in the Menu bar. It also seems to consume much CPU while being stuck. The command line tool reports the following:
% maestral status
Maestral daemon is not running.
gruber@YT-2014 ~> maestral gui
app_packages/rubicon/__init__.py:5: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('rubicon')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages

% maestral start
Starting Maestral...        [FAILED]
Please check logs for more information.

Here are the pertinent lines from ~/Library/Logs/maestral/maestral.log:
2023-02-25 23:01:18 daemon ERROR: Could not communicate with daemon
Traceback (most recent call last):
  File "app_packages/Pyro5/client.py", line 310, in connect_and_handshake
  File "app_packages/Pyro5/socketutil.py", line 283, in create_socket
FileNotFoundError: [Errno 2] No such file or directory

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "app_packages/maestral/daemon.py", line 537, in start_maestral_daemon_process
  File "app_packages/maestral/daemon.py", line 348, in wait_for_startup
  File "app_packages/maestral/daemon.py", line 344, in wait_for_startup
  File "app_packages/Pyro5/client.py", line 214, in _pyroBind
  File "app_packages/Pyro5/client.py", line 376, in __pyroCreateConnection
  File "app_packages/Pyro5/client.py", line 336, in connect_and_handshake
Pyro5.errors.CommunicationError: cannot connect to /Users/gruber/Library/Application Support/maestral/maestral.sock: [Errno 2] No such file or directory
2023-02-25 23:01:18 daemon ERROR: Daemon is running but not responsive, killing now

Reverting to Maestral 1.6.4 on the older Mac seems to restore everything to working order.

Looks like this is the same underlying issue as reported in #841.


Metrics not instance specific for multiple tablet-servers in 1.9

When multiple tablet servers are in use, the MetricsSystemHelper https://github.com/apache/accumulo/blob/5de8d0f1e1aa674bfada825ddd9014367b3e2e27/server/base/src/main/java/org/apache/accumulo/server/metrics/MetricsSystemHelper.java#L34
appends a serviceInstance to the process name. This service instance is derived from the system property 'accumulo.metrics.service.instance'.
I believe the accumulo script https://github.com/apache/accumulo/blob/5de8d0f1e1aa674bfada825ddd9014367b3e2e27/assemble/bin/accumulo#L170 is setting up the incorrect property (accumulo.service.instance) which leads to the metrics system ignoring the service instances and incorrectly reporting metrics.

I'm not sure this is a bug. The accumulo.service.instance being set in the script is associated with the default configuration for file-based logging. It's not for the metrics. The system property for metrics appears to be a similar property, but we do not try to set it for the user. The user can set this system property in their accumulo-env.sh script on startup, though, when they set up metrics for their system.
We could converge on the same property... but there's already a lot of assumptions being made when setting these for our scripts, that I'd be concerned that this would break somebody who managed to rely on those assumptions. In 2.0, it is my intent to argue in favor of moving more of these things under the user's control, and to have fewer assumptions in our own scripts and/or configuration about the user's intended setup. The scripts in 2.0 have already been rewritten with this principle in mind, so I'm not sure there's a lot of value in messing with the 1.9 scripts.
I'm closing this and #730 for now, but if setting this property for metrics in one's accumulo-env.sh script is insufficient, we can revisit this.


ip that script listens on is wrong

ip.address() seems to output wrong ip adress that the server has. It has to start with 192.168, but it starts with 26.99.121 instead and Tun2Socks can't connect to it accordingly. I used ipconfig as a workaround to get my real ip and connected to propper 192.168 adress and everything worked

I think this issue is specific to the ip package so I can't do much about it until they fix it. It seems like ip.address() has returned your public ip or a network adapter with a non-standard private ip address. It could also be specific to your system's configuration since I couldn't recreate the issue.


Catching exceptions of dispatched events

I cannot find a way to catch Exceptions properly using the SQSForwardHandler with a classic try catch inside my api.

Hi @colarrue, could you please provide more context and some code examples?
Do you mean exceptions raised during dispatch() or the internal code of SQSForwardHandler?


Add new lint to block organisational unit names as of 1st September 2022

I've attempted to address #628.  ~I took a guess at what the appropriate version number for the BRs will be but please let me know if I've guessed wrong.~  (Nevermind, I realised that the version of the document is not as important as the rule change has a particular date mentioned and I can just describe that instead of a version number for the BRs)   I ran make integration -overwriteExpected to try and get an entry in the config.json record for the new lint but it didn't seem to change the file so I think I might have made a mistake somewhere but I can't work out where as it looks right to me...
So far, I've just tackled the easy bit of SC47 and banned them utterly from 1st September.  I'll try to suss out the combination rules and add a rule effective sooner but I am less certain if that's needed if it's outright banned in September but I'll see what I can work out from the PR Corey linked in the issue he opened.
Also, I'm English so can reviewers be extra careful to check that I've correctly, incorrectly spelled "organizational" across all the files I've added/changed 😄

This issue is also related to https://github.com/zmap/zlint/pull/643.

outright banned in September but I'll see what I can work out from the PR Corey linked in the issue he opened.

I'll attempt to fix the merge conflict in that one and re-engage people on it.

check that I've correctly, incorrectly spelled "organizational"

I had to look this one up. I had no idea that this was (yet another) difference.

@christopher-henderson - any updates on this vs the #643 PR?  It's been approved for three weeks so it seems a shame not to merge.

@robplee the primary reason was because Sleevi had some objections that I was interesting in understanding if they were addressed, however we gave not heard from him in the project for awhile.


move json behind ts

As stated in #9834, I changed default file extension order by moving json behind ts and tsx. This modification preventing loading json over ts files. Please review, thanks!
Fixes #9834

@SimenB Sure, I'd like to.

Thanks! Just updating the snapshots that CI is pointing out and this should be good to go 🙂

This is probably breaking?

yup, I'd say so

@jackneer this has a few outdated snapshots - could you update them?


Can not visit  d2g6u4gh6d9rq0.cloudfront.net

hi, my friends
my network can not visit   https://d2g6u4gh6d9rq0.cloudfront.net/browsers/fake_useragent_0.1.10.json
how to make it work
thank you very much

i fixed it
use

pip install --upgrade fake-useragent


Feature request: Sharing plugin for macos

Is your feature request related to a problem? Please describe.
To send files, open the software, and drag them into the software window.
It's not bad, but it would be much nicer if it was possible to right-click > localsend sharing, just like Apple's AirDrop.
Describe the solution you'd like
The Gifski software (https://github.com/sindresorhus/Gifski) contains a sharing plugin - you can right-click File > Sharing > Gifski, and thus send a file to the software.
This thing will be very useful for localsend, to be able to share file(s) with the software, similar to sharing with the built-in AirDrop.
A short video for demonstration:
https://github.com/localsend/localsend/assets/78599753/91922928-91d0-4f41-9b58-a9487d6ac615
Describe alternatives you've considered
No response
Additional context
No response

It would also be useful to allow dragging a file to the LocalSend icon in the menu bar
Similar to CleanShot app

Yes! This would be great!

Yes, please. The context menu option would be very useful

@Tienisto have any plan support this feature?

@Tienisto have any plan support this feature?

Yes, but unfortunately, there is no ETA

Would love access to LocalSend via the Mac share menu.

Ref: https://github.com/sindresorhus/Gifski/pull/156


Remove fixed XFAILED test test_mod_uint64

caused by revious commit:

66ed1389b8 - [CPU] Make VectorPreProcStrategy consider undefined behaviors (#18146)

CI results look good: https://github.com/iree-org/iree/actions/runs/10409888311/job/28830937648?pr=18235 (assuming the test isn't just flaky...)


Fix losing series when multiple statements in query.

When multiple statement in query series metric are lost.

 Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.You have signed the CLA already but the status is still pending? Let us recheck it.


Can we adopt your Zulip archive export tool?

Hey, I run the Zulip project, and I was wondering if you folks would be interested in helping migrate your data import tool to something that lives in https://github.com/zulip/python-zulip-api that we document as generally available to other projects that want a public archive?
If so, I'd love to have some of our core contributors collaborate with the author to integrate it there (and then you can just use our project as a pip dependency here).
We have plans for a more built-in experience in Zulip, but I was realizing even if we provide that, this sort of "generate HTML" thing is both more customizable and maybe a cleaner approach for a final public archive of a Zulip organization being closed down, so we probably want something of this form available as a tool to use with Zulip anyway.

Can we adopt your Zulip archive export tool?

Short answer: yes, of course, do whatever you'd like with it!
It's almost the end of the semester here and I'm swamped with teaching/exam prep duties. As soon as that's over I have a month straight of conference travel, so I won't have a lot of time to devote to this in the near future. But I'd be happy to see this adapted, and I'll help however I can.
I should admit that not a ton of thought went into the export tool -- it was a "good enough" solution for what we wanted to do at the time. If it ends up rewritten from scratch, I'd be neither surprised nor disappointed. :)

Cool, makes sense.  I'll keep you updated on our efforts.

@timabbott I finally found a bit of time to come back to this. I've moved the archive script to its own repository (https://github.com/robertylewis/zulip_archive) and refactored a bit, at least to indicate what is customizable.
I'm no Python developer, and my previous disclaimer still stands. But at least this version is disentangled from the rest of our Jekyll setup here.

Awesome, thanks @robertylewis!  I'll see if I can recruit someone from the community to help move that forward.


Add rich text editor to syllabus form

Changes
Fixes #1001
Implementation details

added CKEditor for rich-text editing
added necessary CKEditor packages
used CKEditor component for the syllabus content description field
updated template to render html (output of rte)

How to review PR

pull down branch to your local machine, and npm ci
make sure you can auth in using the Google auth approach
go edit your Classroom > Syllabus
Publish

Screenshots
https://user-images.githubusercontent.com/6276074/170350535-bfdfa944-bafe-4cfe-9d3a-2b9b7db61052.mov

@vabarbosa - great feedback. We'll still need to figure out the URL part -- you're right, using something like example.com will parse as learn.qiskit.org/course/path/example.com... which we don't want.
We'll have to let users know (@pandasa123), that in the meanwhile, we'll need to use https / http when adding URLs.
In regards to the italics and min-height for the editor, I updated the styles:
https://user-images.githubusercontent.com/6276074/170350535-bfdfa944-bafe-4cfe-9d3a-2b9b7db61052.mov

@vabarbosa - great feedback. We'll still need to figure out the URL part -- you're right, using something like example.com will parse as learn.qiskit.org/course/path/example.com... which we don't want.
We'll have to let users know (@pandasa123), that in the meanwhile, we'll need to use https / http when adding URLs.

@techtolentino thanks for the quick turnaround. you probably already saw this but regarding relative links. it looks like there is a CKeditor setting (config.link.defaultProtocol) to set a default protocol when none is specified: https://ckeditor.com/docs/ckeditor5/latest/features/link.html#adding-default-link-protocol-to-external-links

@vabarbosa - I did not see that... this is good to know!

@vabarbosa - I did not see that... this is good to know!
I like your suggestions for both adding the default protocol, and for having links open in a new tab... great UX thinking.
Still, I think there's a couple of things to figure out here since the docs are targeting an id="editor"... but we'll be having more than one editor per form, potentially.
What if we merge as is, and enhance/improve along the way?

👍🏽 those can definitely be enhancements


Several edits.

linux sys calls, pointers, dereferencing, complex data structures, linux sys call data structures, system-reserved names (double-underscore prefix), capitalized macros, capitalized variables and constants.

The second pull request was a change to line 1398:
)
to
)

This became stale, I'll probably reopen it later to merge support of Linux syscalls.


Create conan package for cpp-mapreduce-client

ytsaurus itself uses conan package manager for building. But there is no conan recipe for cpp-mapreduce-client. So for now if one wants to use cpp sdk they need to copy/paste ytsaurus sources or add ytsaurus repo as submodule.
It would be nice if we could use cpp-mapreduce-client library as conan package.

Yes we want to do that, but the first thing that we are working on – it is creating a separate repository with SDK and without bundled protobuf and libstd++


Standalone Server

Since the server is one of the goals / highlights of this project. I'm planning to move it into a subpackage e.g. llama-cpp-python[server] or something like that.
Work that needs to be done first:

[x] Ensure compatibility with OpenAI

[x] Response objects match
[x] Request objects match
[x] Loaded model appears under /v1/models endpoint
[x] Test OpenAI client libraries
[x] Unsupported parameters should be silently ignored

[x] Ease-of-use

[x] Integrate server as a subpackage
[x] CLI tool to run the server

Future work

[ ] Prompt caching to improve latency
[ ] Support multiple models in the same server
[ ] Add tokenization endpoints to make it easier to make it easier for small clients to calculate context window sizes

Just a note, I found a package fastapi-code-generator that you can put the OpenAI OpenAPI spec into and it will generate a server skeleton with the correct models and endpoints. Similarly, there are packages that can create test cases for the endpoints based off the API spec. This might save some time and we can return a not implemented error for endpoints that our server doesn't support.

With the latest commit we now handle all the request parameters for the /v1/completions, /v1/chat/completions and /v1/embeddings endpoints. The server accepts additional parameters that are llama.cpp specific and ignores any that we currently don't support.
Next step is really just to bundle this into the PyPI package as a subpackage  so it can be installed with pip install llama-cpp-python[server] and then run with python -m llama_cpp.server or something like that.

Awesome work! Just FYI, Llama CPP just got some major bug fixes that improves performance in the last hour. There should no longer be a performance degradation as the context size increases. Hopefully this translates into better performance for us too 🔥

Awesome, I'll update the package!

@MillionthOdin16 pushed the updated llama.cpp and the standalone server.
Do you mind testing it for me should?
Just update from pip and run "MODEL=/path/to/model python3 -m llama_cpp.server"

@abetlen done! I created a #29 with some fixes, especially for windows. API is super nice. I did experience significantly slower chat_completion performance compared to the other endpoints (as you previously mentioned). But overall, super cool!

One extra note on use, I think it would be nice to pass in the model (and eventually model folder) as an argument to llama_cpp.server instead of using an env var. Would make it more similar to other usages I think

Next steps on the server (no particular order):

[ ] multiple models selectable by model parameter
[ ] prompt caching (if possible or maybe just hack this with multiple contexts)
[ ] server cli options
[ ] logprobs
[ ] investigate adding /models/{model} endpoint
[ ] model aliasing (kind of a hack but could fix some issues)

I want to save chat log.
What's the best practices for this purpose?


[Feature Request] Multiple vaults

Any possibility to save multiple vaults in the configuration?
Then on either when saving save and/or by picking the default vault in the configuration the user could set which vault to save the note.

Thank you for your suggestion.


change(state): Lookup unspent UTXOs in non-finalized state before checking disk

Motivation
This PR updates a check in the state to look for unspent UTXOs in the non-finalized state before querying the database.
Solution

Skip checking the db if an unspent UTXO is in the non-finalized state

Review
Anyone can review.
Reviewer Checklist

[ ] Will the PR name make sense to users?

[ ] Does it need extra CHANGELOG info? (new features, breaking changes, large changes)

[ ] Are the PR labels correct?
[ ] Does the code do what the ticket and PR says?

[ ] Does it change concurrent code, unsafe code, or consensus rules?

[ ] How do you know it works? Does it have tests?

activate_mempool_mainnet failed due to #6506:
https://github.com/ZcashFoundation/zebra/actions/runs/4695966101/jobs/8326476626?pr=6513#step:3:3895


Address performance on FreeCEN2

http://freecen2.freecen.org.uk/ seems to be a bit slow.  Let's figure that out.

Some of the slow response is due to asset loading and also the double-loading of some assets (see FreeReg issue #915) and may be able to sort some of that out while dealing with #152.  However, initial connection/response and responses in general also seem quite slow compared to FreeReg.

To contact Lemon and clarify if this might be related to apache loading.

In scrum we discussed the initial response lag of about .75-1.25 seconds that I had been seeing and @Captainkirkdawson mentioned there had been a similar issue with Reg that was resolved a couple of years ago by Lemon configuring Passenger to pre-load the rails application. I communicated with Lemon and he informed me that it had already been done for FC2, too. He indicated that he was not seeing the issue on production, so if only on vervet probably just due to processes getting swapped out.  I had discovered this delay on vervet, and double-checked and indeed do not see the issue on production, had only seen it on vervet, so the particular portion of the performance investigation related to the small delay before data transfer begins is resolved. Additional investigation needed for next comment.

At 11:57 on 2016-12-21 @DeniseColbert reported that "FreeCEN2 is taking up to / around 1 minute to load pages." I was unable to reproduce the problem about an hour later.  The bmd build is going on, so perhaps there had been some resource-contention related to that at the time when Denise was experiencing the issue?  As first point of investigation, I will communicate with @Captainkirkdawson about whether bmd builds usually cause degradation with Reg at all.

Re. reproducing the issue, Pat and I experienced this on 19th Dec at around 10am GMT also. Upon trying now,  one or two pages took a couple of seconds to load, most were fine.

Responding to @dougkdev email but in this thread.
Attached is the performance of Cen on colubus for the past 60 minutes

Also attached is the REG performance over the same period

What is clear is that there is no issue with REG as far as loading rails is concerned BUT there is for CEN.

I always see time spent loading ruby with CEN.
Are the assets for CEN precompiled? Is the app set up to use precompiled assets with apache delivering them?

There was a performance peak on REG at the same time as "At 11:57 on 2016-12-21 @DeniseColbert reported that "FreeCEN2 is taking up to / around 1 minute to load pages."

Thank you, @Captainkirkdawson . I did precompile assets and believe we are properly set up to use precompiled assets and have them served by apache, but will double-check to make sure I didn't miss something. Also, I notice the CEN 07:20 request (immediately after a previous request) had no ruby load time.  Lemon mentioned ruby processes maybe getting swapped from memory to disk when they haven't been used for a while.  Will need to investigate with a higher amount of traffic to know for sure whether ruby load time is only when it has been a while since a request or whether the 0 ruby time at 07:20 was a fluke.

When we restart REG on production there is a very noticeable delay in respon se for the first user. It seems that passenger takes 30-60 seconds to load the new ode into the server. Once there response is extremely good. .I normally do a search following a restart just to get the load underway.

I ran a number of searches on production (brazza) performance was slower but still very good.
After the initial load, response was good. I did notice someone else was doing cen searches at the same time  (howler)

REG performance on brazza at the same time was quite similar

ruby performance is similar. Mongodb is similar brazza was responding to significantly more requests from REG than CEN but there were no issues that would concern me

Just a few minutes ago at about 00:18 GMT, I visited freecen2 and it hung for over a minute before initial page load. After first load, it was fine on subsequent page loads. My session cookie indicated that I was on colobus.  Similarly I had about 1-minute hangs with initial visit to howler and saki, followed by normal load times for subsequent requests on each.  Brazza and drill didn't exhibit the same initial lag.
I do not know whether each server was visited after deploying most recent code changes.  @AlexAvlonitis , do you remember whether or not you visited each server after your most recent update/reload?  If you didn't, that probably explains the slow initial load, but if you did, a minute seems really long to just be getting swapped back into memory from disk (although all disk access on production is much slower than I would have anticipated).  Here's a quick linux command for hitting a particular server after an update without having to mess with the cookies in your browser to make sure you visit them all:
wget -O /dev/null --header="Set-Cookie: freecen2-session=brazza" freecen2.freecen.org.uk

That's how long it takes to get passenger to reload the app (~1min)
Kirk Dawson
5220 Riverside Drive
Fairmont Hot Springs, B.C.
V0B 1L1
On 2 January 2017 at 18:13, dougkdev<EMAIL_ADDRESS>wrote:

Just a few minutes ago at about 00:18 GMT, I visited freecen2 and it hung
for over a minute before initial page load. After first load, it was fine
on subsequent page loads. My session cookie indicated that I was on
colobus. Similarly I had about 1-minute hangs with initial visit to howler
and saki, followed by normal load times for subsequent requests on each.
Brazza and drill didn't exhibit the same initial lag.
I do not know whether each server was visited after deploying most recent
code changes. @AlexAvlonitis https://github.com/AlexAvlonitis , do you
remember whether or not you visited each server after your most recent
update/reload? If you didn't, that probably explains the slow initial load,
but if you did, a minute seems really long to just be getting swapped back
into memory from disk (although all disk access on production is much
slower than I would have anticipated). Here's a quick linux command for
hitting a particular server after an update without having to mess with the
cookies in your browser to make sure you visit them all:
wget -O /dev/null --header="Set-Cookie: freecen2-session=brazza"
freecen2.freecen.org.uk
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
https://github.com/FreeUKGen/FreeCENMigration/issues/177#issuecomment-270038822,
or mute the thread
https://github.com/notifications/unsubscribe-auth/ACvdRlP0ejOcsiNjMZuJ9qhK1e9NowV7ks5rOaDSgaJpZM4LAa1u
.

howler at 5:20 am 4 Jan. first request ~1 min, subsequent requests ~10sec. A couple of simple searches took somewhere between 30 sec and a minute.

brazza at about 5:30am GMT 4 Jan. first request 4 min 17 sec!  Second request 1 min 10 sec.
Need to check with @Captainkirkdawson  to see if indexes are currently being deleted for freereg story number 465, if so that might explain it.  Perhaps also resource contention from normally scheduled updates.

To investigate further - include Lemon in discussions.

WRT brazza. The nightly update of FR started at 05:00 GMT. It had a big impact on FR. Due in part due to the 35 indexes we are carrying as part of the transition. Based on the CEN scrum chat the following is the server loading at that time.

From that you can see that there was major disk contention at that time.


BDD 100K 车道线 分割 mask 如何生成？

例如json信息中的“L”，“C”，其中“C”该如何利用
{
"category": "lane/single white",
"id": 8,
"attributes": {
"direction": "parallel",
"style": "dashed"
},
"poly2d": [
[
641.873374,
463.734289,
"C"
],
[
571.238349,
494.44517,
"C"
],
[
585.058244,
506.729521,
"C"
],
[
766.252437,
692.530346,
"L"
]
]
},

Please read the BDD100K documentation.
https://github.com/ucbdrive/bdd100k/blob/master/doc/format.md
"‘L’ for vertex and ‘C’ for control point of a bezier curve."

Thank you for your attention. The latest commit includes code(./toolkit/datapre) to generate segmentation mask.

I see the code(./toolkit/datapre) could generate drivable area segmentation mask. Do you know how to make it to generate the lane segmentation mask as your training dataset ?

I see the code(./toolkit/datapre) could generate drivable area segmentation mask. Do you know how to make it to generate the lane segmentation mask as your training dataset ?
I have the same problem, did you solve it?

I see the code(./toolkit/datapre) could generate drivable area segmentation mask. Do you know how to make it to generate the lane segmentation mask as your training dataset ?

I have the same problem, did you solve it?


memoQ 11.1.13 - compatibility

Hello dear Dev
I hope this finds you well
kindly check the plugin with the latest version of MemoQ memoQ 11.1.13
https://www.memoq.com/
https://www.memoq.com/downloads

I tested the latest version of memoQ 11.1.13 on a new computer, and the plugin seems to be working fine.

Or are you referring to the compatibility issue with the part highlighted in red in the picture? That's the plugin's unique ID. Multiple installations require each plugin to have a unique name; otherwise, it'll cause errors. In the previous version, this was hidden using line breaks. It’s just a display issue and doesn’t affect plugin’s functionality.


Adjust pre-commit hook regex

As Developer
I want to write clean commit messages. Currently the regex for the commit messages only allows you to write the issues like this: [#31,#32,#33]. The regex should be adjusted to also allow spaces after the comma, like this: [#31, #32, #33].
Because it makes the development experience nicer
Acceptance Criteria:

[ ] The pre-commit hook allows a single space after the comma between issue reference numbers

As this is a matter of taste, I think we should get more opinions in before changing the regex. Because my opinion is: the current way looks cleaner, and we should only allow one of the options for consistency.
What does @0815Sailsman think?

Answer from @0815Sailsman, we should allow both but modify the acceptance criteria to allow only a single space

I personally think it's ugly, but it's done


Unique method is undefined

Using Faker 1.6.6, the example from the README.md returns an undefined method error:
Faker::Name.unique.name
returns
NoMethodError: undefined method 'unique' for Faker::Number:Class
I feel like I'm missing something extremely obvious.

Hitting same issue on my end.

@mikrofusion I'm glad it's not me! But sorry that you're having the same issue :(

@davidmccoy after looking through some of the other issues, it appears master has not been pushed to rubygems lately.  I changed my Gemfile to point to this github repo and seemed to have gotten around the issue.
  gem 'faker', branch: 'master' , git: 'https://github.com/stympy/faker.git'

@mikrofusion that would make sense, thanks

gem 'faker', '1.7.3'


[FEATURE] Enables multiple offering (ibetShare)

1. Is your feature request related to a problem? Please describe.

Since ibetShare holds only one generation of application information, it is difficult to use it for multiple offerings.
In particular, I think it should be possible to store multiple generations of application information for the same account address.

2. Describe the solution you'd like

Make it possible to store multiple generations of application information.
Applications should be made by specifying the offering generation.
Allocation should also be done by specifying the Offering generation.

Already implemented


object-behaviour-relation.md - fixed a simple typo

activley -> actively

This pull request is included in version 11.11.2
The release is available to download on GitHub release or in the MLAPI Installer.


Dead link in ListView

ListView Page
The link in the following section

If you use the ListView to display large sets of data, see Optimize ListView and GridView for tips to maintain a smooth and responsive user experience.

is pointing to a missing page

Link appears to be fixed.


Can I use IntrospectiveRationaleExplainer to explain pre-trained model ?

Hello, I have a pre-trained model for text sentiment polarity classification, with a structure roughly composed of RoBERTa+TextCNN. Can I use the Introspective Rationale Explainer to interpret its output? I aim to obtain the importance/contribution of each word towards the final predicted polarity.

@nochimake  I would suggest to try Exaplainable AI (XAI), Explainable AI (XAI) aims to make the decision-making processes of machine learning models transparent and interpretable.
Refer this:- https://github.com/explainX/explainx
Through it's lime and shap libraries , it is possible to interpret the decesions of model through visualizations.
You can also use the IRE for that as well, but have a look at the accuracy. In my oinion, XAI has the best one.
Plz let me know, if this helps
Thanks


Fix some of the flake8 issues.

Description
Ran a flake8 command on the backend/API directory
Fixes #89
Type of Change:

Code reformatting
Command: flake8 backend/API

How Has This Been Tested?
Not tested yet.
Checklist:

[ ] My PR follows the style guidelines of this project
[ ] I have performed a self-review of my own code or materials

@kishan3 Thanks for contributing :D


Create dataset webmd_health_and_wellbeign

uid: webmd_health_and_wellbeign
type: primary
description:

name: WEBMD Health and Wellbeign

description: WebMD has created an organization that we believe fulfills the promise of health information on the Internet. We provide credible information, supportive communities, and in-depth reference material about health subjects that matter to you. We are a source for original and timely health information as well as material from well known content providers.
The WebMD content staff blends award-winning expertise in journalism, content creation, community services, expert commentary, and medical review to give our users a variety of ways to find what they are looking for.
And that, we believe, requires dedicated, full-time staff professionals with state-of-the-art expertise in:
Health news for the public
Creating and maintaining up-to-date medical reference content databases
Medical imagery, graphics, and animation
Communities
Live web events
User experience
Interactive tools
Our board-certified physicians and award-winning journalists are solely dedicated to your daily information experience on WebMD. Our content staff includes individuals who hold advanced degrees in journalism, medical illustration, health communications, clinical informatics, nursing, and medicine. WebMD verifies the qualifications of all medical professionals on the site; including health professionals, experts, editorial professionals and contributors with a specialty license. Health Professionals, including those who write, review and edit our editorial content undergo credential verification by a third party.
Most of us at WebMD Health have spent our entire careers dedicated to helping people find the health and medical information, support, and services they need -- even before there was an Internet! We are dedicated to providing quality health information and to upholding the integrity of our editorial process.

homepage: https://www.webmd.com

validated: True

languages:

language_names:

English

language_comments:
language_locations:

World-Wide
United States of America

validated: False

custodian:

name: WebMd
in_catalogue:
type: A private individual
location: United States of America
contact_name: WebMD
contact_email: https://customercare.webmd.com/hc/en-us
contact_submitter: False
additional: https://www.webmdhealthservices.com/contact-us/
validated: False

availability:

procurement:

for_download: No - but the current owners/custodians have contact information for data queries
download_url:
download_email:

licensing:

has_licenses: Yes
license_text:
license_properties:

copyright - all rights reserved

license_list:

unknown: License information unavailable

pii:

has_pii: Yes
generic_pii_likely: very likely
generic_pii_list:

names
email addresses

numeric_pii_likely: somewhat likely
numeric_pii_list:

telephone numbers

sensitive_pii_likely: somewhat likely
sensitive_pii_list:

health-related data

no_pii_justification_class:
no_pii_justification_text:

validated: False

source_category:

category_type: website
category_web: official website
category_media:
validated: False

media:

category:

text

text_format:

.HTML

audiovisual_format:
image_format:

.JPG

database_format:
text_is_transcribed: Yes - image
instance_type: article
instance_count: 100K<n<1M
instance_size: 100<n<10,000
validated: False

fname: webmd_health_and_wellbeign.json

Duplicate entry on the Catalogue of:

#343


To add working steps in  Reuleaux Triangle within a Square which is inscribed within a Circle

Is your feature request related to a problem? Please describe.

A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

Describe the solution you'd like

A clear and concise description of what you want to happen.

Hi, I want to work on this issue I will start working on it as soon as I get assigned!! I am a part of GSSoC'21.
Kindly assign this issue to me!
Discord Username : Abhijeet Sinha(P)
Discord Tag: #4018


Upgrade to VS Code's webview API

Hi, I'm on the VS Code team. I noticed that your extension uses the vscode.previewHtml command which is deprecated and which we are actively working to remove: https://github.com/Microsoft/vscode/issues/62630
We've developed a webview API that provides a much better developer experience and offers a number of important security and compatibility benefits over previewHtml. We cannot fix previewHtml without breaking backwards compatibility, and have instead opted to remove it.
To ensure that your extension continues to work properly in VS Code, please try upgrading to use the new Webview API. You can find documentation on the API usage here. Let me know if you have any questions or concerns about this migration

What sort of timeframe does this need to be completed in?

Never mind, I see you're aiming for March/April with deprecation warnings in the dev environment arriving this or next month.


Add 1-Wire support to FT232H via GPIO

This change adds a OneWireDevice class to the FT232H module and enables support for 1-wire devices via GPIO bit-banging.
Rather than attempt to handle the 1-wire timings directly in python (and at the mercy of the kernel scheduler), we write command pipelines to the MPSSE, and it handles the high low transitions to perform RESET, WRITE-1, WRITE-0, and READ.
The code includes the option for 1-wire "overdrive" speeds, but I have not tested this personally. I'm using this code to talk to a digital thermometer (DS18b20) which only supports standard mode timings.
The GPIO pin used for 1-wire needs to have a pull-up resistor to the 5v line. I used a 4k7. 1-Wire devices can operate in parasite power mode where they charge themselves directly from the data line. I have tested both powered and parasite modes with my thermometer.

hiya thank you for the pull request. we're going to be deprecating this library in favor of our python3 Blinka library which has support for almost 200 different drivers, and a wide variety of linux computers as well as ft232h