Fix icons

You only changed the size for party slots, change it for the box slots too.
Also i need to run some tests to make sure theres no unintended consequences, if not then this is good to go.

The Display is although a bit awkward But it fixes the issue.

@HoeenCoder We Might ask ppl not to use Full screen while Playing SGgame

@HoeenCoder This looks kinda like

ATM this is better than before, it prevents any issues with multiple pokemon showing.


The image failed to scale after rotated.

Hi guys,
I use PhotoView as the control to display my images. The images were captured by Samsung Note 3, so it's marked as rotated in its EXIF info (Orientation 90 degree). I don't want to rotate it back by using bitmap, so i rotate and scale the whole image_view(Photo view) instead. After i rotated the control , everything looks well except it can't be dragged in x side.
        float[] scaleRate = getScaleRate();
        ViewHelper.setRotation(this.mainImage, degree);
        ViewHelper.setScaleX(this.mainImage, scaleRate[0]);
        ViewHelper.setScaleY(this.mainImage, scaleRate[1]);

SO, WHAT could / should i do to make sure the image can be dragged in x side?
Thanks, in advance.
here is the origin image:

Instead of rotating the view, you should use an image loading library that respects EXIF info


"NaN" displayed on stake withdraw modal

Closed by https://github.com/hop-protocol/hop/commit/ba9e134cb67ddad07710c9bdc1c65a671569f23c


if there are only 2-3 column how to fit on full screen

Hi,
I have 3-4 columns only that time in table we do not need horizontal scroll, and these column should fit on full screen.can we give that kind of dynamic width.
right now it looks like ?

Here i have vertical scroll but columns are not on full screen

The component isn't designed to support dynamic-width columns, because dynamic widths are based on the idea that the table has a given width and must allocate that width to the columns. Here, the table is has overflow, so there is no "correct" table width. Also, because of the box model used to render the table elements, if you set the THEAD and TBODY children to have width:auto, they won't line up with one another (i.e., the "auto width" calculation for header and body elements are independent, not synchronized like they are in a normal table).
My recommendation is to create some classes based on the column type (checkbox, name, email, date, etc.) with some reasonable default widths. For variable-length text fields, you could also use a function to compute the appropriate width needed for the longest value in a given column, with a minimum and maximum value (basically simulating an "auto" width). If the total width exceeds the width of the component, the horizontal scroll feature will come into play automatically.


[test] upgrade webpack from 1 to 3

First of all, thank you for your contribution!
Please makes sure that these checkboxes are checked before submitting your PR, thank you!
CheckList:
if isBugFix :

[ ] Make sure that you add at least one unit test for the bug which you had fixed.

elif isNewFeature :

[ ] Update API docs for the component.
[ ] Update/Add demo to demonstrate new feature.
[x] Update test scripts for the feature.
[ ] Add unit tests for the feature.

This PR is closed because it is outdated and has conflicts with the master branch.


Add FP16.16 to allowed numeric formats

Please review and discuss.

Here is a link to a light technical doc about the data format:
[https://graphcore.sharepoint.com/sites/tech-docs/Shared Documents/Forms/AllItems.aspx?id=%2Fsites%2Ftech-docs%2FShared Documents%2FCustomer documents%2FMk2 IPU%2FAI computation with the IPU - AIFloat.pdf&parent=%2Fsites%2Ftech-docs%2FShared Documents%2FCustomer documents%2FMk2 IPU&p=true&originalPath=aHR0cHM6Ly9ncmFwaGNvcmUuc2hhcmVwb2ludC5jb20vOmI6L3MvdGVjaC1kb2NzL0VVd1NsNXZpZXpKTm55dnRldTZoRXVrQkU0TkhoTFRLUHUzN2pFSGZuSFNWaFE_cnRpbWU9STN5YjlWVm0yRWc]
Please let me know if you can access it

@mrinaliyer I am unable to access the above link.

I see, I’ll get a new one uploaded tomorrow
On Thu, Oct 22, 2020 at 4:55 PM Ritika Borkar<EMAIL_ADDRESS>wrote:

@mrinaliyer https://github.com/mrinaliyer I am unable to access the
above link.
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Hi @mrinaliyer , when do you expect to upload a new doc with open permissions?

Hi John,
We should be able to open permissions by the next Thur meeting
On Mon, Nov 2, 2020 at 8:20 AM johntran-nv<EMAIL_ADDRESS>wrote:

Hi @mrinaliyer https://github.com/mrinaliyer , when do you expect to
upload a new doc with open permissions?
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SWG:
Now expected the week after Thanksgiving.

Hi @mrinaliyer , do you have an update on when the doc can be ready?

Hi @johntran-nv, Are you able to access this? https://docs.google.com/document/d/1XWxFKjJWjExmDLuMwlE-lIrBT68Orj9ardBvO-5QTPA/edit

From last meeting's notes, @bitfort has the AI to create a PR for the rule update to accept this, so assigning this issue to him.

From last meeting's notes, @bitfort has the AI to create a PR for the rule update to accept this, so assigning this issue to him.

Hi Victor,
Just wanted to check whether this has been accepted in!
Mrinal
On Mon, Jan 4, 2021 at 12:38 PM johntran-nv<EMAIL_ADDRESS>wrote:

From last meeting's notes, @bitfort https://github.com/bitfort has the
AI to create a PR for the rule update to accept this, so assigning this
issue to him.
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Hi Victor,
Just wanted to check whether this has been accepted in!
Mrinal
On Mon, Jan 4, 2021 at 12:38 PM johntran-nv<EMAIL_ADDRESS>wrote:

From last meeting's notes, @bitfort https://github.com/bitfort has the
AI to create a PR for the rule update to accept this, so assigning this
issue to him.
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Let me know if FLOAT 16.16 is how you want it named, or if you want it further specified as "Graphcore FLOAT 16.16"

Let me know if FLOAT 16.16 is how you want it named, or if you want it further specified as "Graphcore FLOAT 16.16"

Good point! Grapcore FOAT 16.6, would be better
On Thu, Jan 14, 2021 at 11:03 AM Victor Bittorf<EMAIL_ADDRESS>wrote:

Let me know if FLOAT 16.16 is how you want it named, or if you want it
further specified as "Graphcore FLOAT 16.16"
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Good point! Grapcore FOAT 16.6, would be better
On Thu, Jan 14, 2021 at 11:03 AM Victor Bittorf<EMAIL_ADDRESS>wrote:

Let me know if FLOAT 16.16 is how you want it named, or if you want it
further specified as "Graphcore FLOAT 16.16"
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This has been added to the rules docs.  Closing.


Added social sharing.

Added commenting.
Added tags.

Coverage increased (+0.2%) to 58.354% when pulling b87fbc8be73132340c7a894bb194d994e853f7b0 on tags-commenting-sharing into 0bf2916cc9f6a17fc2d81f7067aff0e0815d6a09 on master.


It seems there's a minor error in 'fairseq/fairseq/dataclass /configs.py Line1103

🐛 Bug

To Reproduce
Steps to reproduce the behavior (always include the command you ran):

run pyinstaller exe on win10
File "fairseq\dataclass\configs.py", line 1103, in EMAConfig
default=False, metadata={help: "store exponential moving average shadow model"}
NameError: name 'help' is not defined
you can check out on https://github.com/facebookresearch/fairseq/blob/main/fairseq/dataclass/configs.py
Line 1103

I'm also encountering this issue

Traceback (most recent call last):
  File "app.py", line 97, in modelAnalysis
  File "inference\infer_tool.py", line 166, in __init__
  File "utils.py", line 113, in get_speech_encoder
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "PyInstaller\loader\pyimod02_importers.py", line 419, in exec_module
    exec(bytecode, module.__dict__)
  File "vencoder\ContentVec768L12.py", line 2, in <module>
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "PyInstaller\loader\pyimod02_importers.py", line 419, in exec_module
    exec(bytecode, module.__dict__)
  File "fairseq\__init__.py", line 20, in <module>
    from fairseq.distributed import utils as distributed_utils
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "PyInstaller\loader\pyimod02_importers.py", line 419, in exec_module
    exec(bytecode, module.__dict__)
  File "fairseq\distributed\__init__.py", line 7, in <module>
    from .fully_sharded_data_parallel import (
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "PyInstaller\loader\pyimod02_importers.py", line 419, in exec_module
    exec(bytecode, module.__dict__)
  File "fairseq\distributed\fully_sharded_data_parallel.py", line 10, in <module>
    from fairseq.dataclass.configs import DistributedTrainingConfig
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "PyInstaller\loader\pyimod02_importers.py", line 419, in exec_module
    exec(bytecode, module.__dict__)
  File "fairseq\dataclass\__init__.py", line 6, in <module>
    from .configs import FairseqDataclass
  File "<frozen importlib._bootstrap>", line 991, in _find_and_load
  File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 671, in _load_unlocked
  File "PyInstaller\loader\pyimod02_importers.py", line 419, in exec_module
    exec(bytecode, module.__dict__)
  File "fairseq\dataclass\configs.py", line 1078, in <module>
    class EMAConfig(FairseqDataclass):
  File "fairseq\dataclass\configs.py", line 1080, in EMAConfig
    default=False, metadata={"help": "store exponential moving average shadow model"}
NameError: name 'help' is not defined


Make building RUC package optional

What:
So far, there has been no possibility to specify whether the RUCPackage should be built or not. Currently it will always be built.
This PR adds the ability to specify whether to build the RUCPackage via command-line flag while maintaining the current behavior if the flag is omitted.
Why:
In our workflow for building AS projects under certain conditions there might be building errors in case the RUCPackage is built. Making building the RUCPackage optional will help us prevent the building errors.

This makes sense to me. @sclaiborne, please take a gander


[Site]Added Korean Support

Description
This Fixes #24 and #27

Added Korean Language Support
Added Nanum Gothic Font

After Changes

@jinwoo1225 Can you confirm the translation since I used GT. Thank you.

Thank you 😊 @jinwoo1225. Yeah, gotta make sure it's all correct.

@NikhilSharma03 How about making locale file? that stores language based string data.

@jinwoo1225 .json files?

@NikhilSharma03 yes json file would be great!

@jinwoo1225 Ok, I will work on it.

@NikhilSharma03 you don't have to do this by yourself. let's talk about locale.json file!

@jinwoo1225 Yeah sure. What approach we can take.
In my opinion

one locale.json file with two key "kor" and "eng"
We will use these data keys based on the user's chosen language.

@NikhilSharma03 that means like
{
{
subject:"subject",
eng : "english"
kor : "korean"
}
...
and if "kor" is not in present. displaying english is fine!

@jinwoo1225 So for example it should look like
{
{
subject:"home-title-main",
english:"Student Oriented Learning & Teaching Platform",
korean:"대학생용 지식공유 플랫폼",
}
// Other texts
}

@NikhilSharma03 Yes, that's correct. it will make a room for improvement for adding another language options 👍

@jinwoo1225 That's awesome. I will start working on it today.


Support PostgreSQL casting

CREATE TABLE foo (
    reason character varying(255) DEFAULT 'Test'::character varying NOT NULL
);

http://www.postgresql.org/docs/9.4/static/sql-expressions.html#SQL-SYNTAX-TYPE-CASTS

Any updates on this error, any hints on how to extend the grammar to support this

Parameters within a create table statement are simply parsed as string lists. It is not a very sophisticated parsing. The changes should be in Create table rule within the jj file. If you think about a patch, don't forget the deparsers. Most of the tests try to parse and deparse and compare the results to assure specials like brackets or optionally syntactic sugar are recognized and reconstructed. Cheers  Tobias

A long way to go ...


Ensure Plain imports will always be at top of file

Fixes #454
Closes #454

Description
Currently, Plain imports can get caught in Regex groups. However, plain imports should always be at the top of the file to avoid unwanted bugs (e.g. a plain import initializes something, if another import gets called before and depends on it then it will fail).
Please let me know if I should change anything :)

Could you let me know if you agree with this PR before I fix the tests? Thanks in advance


Adding new ignition to append to etc hosts

Hacky additions to the ignition files for bootstrap / master / worker to append the Gateway domains to /etc/hosts
https://issues.redhat.com/browse/ARO-9569

https://github.com/openshift/installer-aro-wrapper/blob/505fb3386486830a6963a9850e18ae5a5f71faf5/pkg/installer/custominstallconfig.go#L23
Can't we use this function to add a new machineconfig, instead of adding a new commit in this repo?

/lgtm

/approve

/cherrypick release-4.13-azure

/cherrypick release-4.12-azure

/cherrypick release-4.15-azure


Formatting should always be stored on the highest-level AST element possible.

Given a method declaration, for example, the whitespace preceding the method declaration could be placed on the public modifier or on the method declaration. We should put it on the method declaration.
public void method() {}

I'm pretty sure that all of the formatting changes made on master have accomplished this.

I'm pretty sure that all of the formatting changes made on master have accomplished this.


updated _collections_abc.py and test_collections.py to CPython 3.11.2

#4564 updating _collections_abc.py to 3.11.2 for Python

thanks @bobby-palmer, this might be a tricky one :smile: there's two test cases now failing in Lib/test/test_typing.py:
test_errors (test.test_typing.CollectionsCallableTests.test_errors)
test_valid_uses (test.test_typing.ParamSpecTests.test_valid_uses)

You can open that file and decorate them with unittest.expectedFailure to mark them as so. For test_errors you can add this function to CollectionsCallableTests:
    # TODO: RUSTPYTHON
    @unittest.expectedFailure
    def test_errors(self): # TODO: RUSTPYTHON, remove when this passes
        super().test_errors() # TODO: RUSTPYTHON, remove when this passes

while for test_valid_uses just mark the function directly since it isn't brought in via inheritance:
    # TODO: RUSTPYTHON
    @unittest.expectedFailure
    def test_valid_uses(self):
        ....  # function body unchanged

@DimitrisJim thanks for the feedback! those tests should be fixed now


fix loading of some audio NFTs

On behalf of @dkackman:
For an audio NFT (or at least the one indicated in the #1786)
rawValue on line 44 of \chia-blockchain-gui\packages\gui\src\components\nfts\NFTProperties.tsx can be undefined. Added a simple check alongside where typeof object is checked and return null. Haven't seen downstream consequences and the nft detail page now opens without error.
value on that line could also be set to an empty string or other default but I don't know enough about the code to know what is the best approach so deiced an early bail out, since it already is in there, was safest.

thanks! this encouraged me to finally set up commit signing by default


Move benchmark upstream

Currently, this repository contains benchmarks for idgenerator and propagator and has a Github workflow which run benchmarks on every PR. Ideally, we should add these benchmark upstream with the actual code of idgenerator and propagator.

Created a PR to migrate benchmark to upstream: https://github.com/open-telemetry/opentelemetry-go-contrib/pull/812https://github.com/open-telemetry/opentelemetry-go-contrib/pull/812

benchmark migration is completed: https://github.com/aws-observability/aws-otel-go/pull/71 so closing this issue.


KAFKA-14499: [5/N] Refactor GroupCoordinator.fetchOffsets and GroupCoordinator.fetchAllOffsets

This patch refactors the GroupCoordinator.fetchOffsets and GroupCoordinator.fetchAllOffsets methods to take an OffsetFetchRequestGroup and to return an OffsetFetchResponseGroup. It prepares the ground for adding the member id and the member epoch to the OffsetFetchRequest. This change also makes those two methods more aligned with the others in the interface.
Committer Checklist (excluded from commit message)

[ ] Verify design and implementation
[ ] Verify test coverage and CI build status
[ ] Verify documentation (including upgrade notes)

Many test failures look like known issues: https://github.com/apache/kafka/pull/14296


vlog_to_model does not recognize clock assignment if a port is not connected directly to $dff

in the following case:
module simple_dff_logic(clk, a, b, q)
    input wire clk;
    input wire a;
    input wire b;
    output reg q;

    always @ (posedge clk) begin
        q <= a | b;
    end
endmodule

The $dff input is connected to $or output, a and b signals are connected to the $or inputs.
the is_registered function (see: https://github.com/SymbiFlow/symbiflow-arch-defs/blob/master/utils/vlog/vlog_to_model.py#L29) checks only $dff inputs, so in the above example a and b will not be classified as assigned to clk clock.

Looking at these functions;
https://github.com/SymbiFlow/symbiflow-arch-defs/blob/dc45861228a81ade14f22d828856a575f9b471d9/utils/vlog/vlog_to_model.py#L29-L73
They should be using Yosys to find this information. Yosys has the ability to trace through the logic.

The issue is likely in;
https://github.com/SymbiFlow/symbiflow-arch-defs/blob/dc45861228a81ade14f22d828856a575f9b471d9/utils/vlog/vlog_to_model.py#L195-L209

This commit https://github.com/SymbiFlow/symbiflow-arch-defs/pull/664/commits/0349a652be87a5b5b08c3ce2d38b545c7c94b9d2
seems to be fixing this. It is a part of #664

Since fix has been merged, we can close this issue


docs: add info on calling plugins over HTTP

User emailed requesting HTTP instructions for invoking plugins. I've taken that info and added to our external docs based on the similar information for packages.

Is this a thing we actually want to support? I would vote no.
Currently the engine mediates calls to and from plugins. For generators, this means extracting the appropriate content of existing files, resolving queries, etc. This means that the API interface to a plugin is aligned with internal expectations of both the engine and the plugin helper shim. We may wish to change these in the future.
At the very least, I think we should mark this as experimental / unsupported / beta / likely to break or something.

I was fairly torn on this. Having people use our SDK is definitely the preferred path. However, we've had multiple users recently asking to use HTTP directly (and even attempting to figure it out on their own). That, to me, indicates that desire is out-pacing our intentions for plugins. I'm fine adding a bunch of disclaimers and other language (or even an answer that reads "write a simple package that wraps the plugin and use that package. here's example code..."), but I think we need to have something that addresses the need.
Thoughts?

I apologize, I definitely misunderstood what was being put on offer here.  I'm totally fine exposing the engine API for plugins in this way.

PTAL. Added some language to attempt to indicate SDK is preferred, and clarify the API surface being invoked.


Fix: Qwik City Html Component attributes

What is it?

[x] Feature / enhancement
[x] Bug
[ ] Docs / tests

Description
Currently, Qwik City's Html tag accepts props but it does not pass those props to the Host tag.
Also adds the correct values to for the dir attribute:
https://developer.mozilla.org/en-US/docs/Web/HTML/Global_attributes/dir
Fixes: #863
Checklist:

[x] My code follows the developer guidelines of this project
[x] I have performed a self-review of my own code
[ ] I have made corresponding changes to the documentation
[ ] Added new tests to cover the fix / functionality

Thanks @nnelgxorz !
You're wonderful
If possible, can you please also add a test for this fix?

I can. I think the best place would be the e2e tests, but it looks like they've been commented out. I'll see if there's a different spot to add it.

Thanks buddy! 🙏
Appreciate it

Compromise: Added an e2e test for Qwik City, but left that didn't un-comment any commented out code.

awesome work, thanks!


Armorer solver button not working

Required Information
Class: Armorer
Level: 52
Craftsmanship: 132
Control: 163
CP: 282
Recipe Name: either grade 4 skybuilders
Recipe Level: 20/40
Solver Seed:
Expected Behaviour
for the solver button to work
Actual Behaviour
no solver button on armorer it doesn't light up
Steps To Reproduce
(Example: Buffs, Food, Synthesis Condition, Simulator/Solver Options if different from default)

Did you check if this isn't the same issue as #40 ? Maybe your initial guess doesn't let the solver start button be active.


Document clearly the usage L1/L2 metadata for people not knowing BaseOS QE tests

After speaking with @stefwalter, we should try to make the onboarding to FMF easier for people who do not know the concept of L1/L2 metadata. Seems it is just too much information for them to understand. Moreover people wanting to add a simple tests can just write it in L2 metadata and they do not need to understand why there is L1 metadata, and what is the really the use case.
I am opening this issue, so we can try to find a way how to make the documentation more easy for these cases.

Which documentation should be improved? The testing farm docs already cover the simple smoke test scenario right at the start. The same applies to the internal Quick Start Guide. I don't see much L1/L2 terminology there. Both basically say:
Create template:
tmt init --template mini

Adjust the script as desired:
summary:
    Basic smoke test
execute:
    script: tmt --help

Commit and you're done. How can we simplify more?

I believe this has been covered by #877. The second chapter of the guide now clearly describes what are plans (L2) and tests (L1).


Move landing container images to dockerhub

Every public repo should be hosted in https://hub.docker.com/ instead of quay.
Once a new repo in dockerhub is created and images have been copied there, assign this issue to Infra team know so they can configure drone to work with the new registry instead.

Looks like Infra is tracking in a separate issue. closing.


Function calls inside assert

Describe the bug
Function calls inside assert are optimized away when NDEBUG is defined.
To Reproduce
Define NDEBUG
Environment (please complete the following information):
Any
Additional context
See read_binary.

#132


Refactor code to modern standards

It's been a long time since the code has been cleaned up. It originally started as a fork of another project but has since deviated drastically. As a result, it's appropriate to make updates to the internals. The refactor the code to leverage the following:

ES6 through Babel
Update gulp builds or switch to webpack asset bundling
Remove bower and switch to npm/yarn full-time
Font awesome 5 upgrade
Improve JS code with better design practices

It's difficult trying to find the time to do this myself, so if anyone would like to volunteer, you'd be the real mvp.

Hey @kelyvin,
I would love to help! I literally just got my own ghost blog hosted yesterday and forked the uno-zen theme with the intention to use it. See https://nickjames.io. Last night I stumbled on your theme and will be using yours instead.
I'm still getting the hang of ghost theme development, but I was able to make some enhancements to my fork of uno-zen. I removed bower and moved to npm, upgrade to gulp v4, added ES6 support using Babel, and removed some unnecessary dependencies.
I will fork your theme to use for myself but will be opening some PRs soon to address some of the things outlined. Looking forward to helping out!

@nickjamesio You are awesome! Please let me know if you have any questions or need any help along the way as well. Would also like to leverage ES6 modules as well instead of the spaghetti JQuery workarounds.

Thanks! I am in the process of getting it setup on my local machine now. Had a few quirks to figure out since I am using docker but so far so good. I just successfully built the project using gulp so that is good :) I will definitely reach out if I get stuck or need help!

I have sent a pull request for Font Awesome 5. I have tested it locally.


Errno 13 Permission denied during installation

Trying to install this for the first time (haven't really messed around with python installations or the cmd on Windows before) and this is preventing me from installing the file. I think I set up a python virtual machine to fix this, but dunno how to use it yet. I believe I've fixed any permission issues that should interfere, but it seems I'm wrong. Is that the right way to go? How do I fix this?
`[Errno 13] Permission denied: 'C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1776.0_x64__qbz5n2kfra8p0\Lib\site-packages\test-easy-install-18828.write-test'
The installation directory you specified (via --install-dir, --prefix, or
the distutils default setting) was:
C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1776.0_x64__qbz5n2kfra8p0\Lib\site-packages\

Perhaps your account does not have write access to this directory?  If the
installation directory is a system-owned directory, you may need to sign in
as the administrator or "root" account.  If you do not have administrative
access to this machine, you may wish to choose a different installation
directory, preferably one that is listed in your PYTHONPATH environment
variable.
For information on other options, you may wish to consult the
documentation at:
https://setuptools.readthedocs.io/en/latest/easy_install.html
Please make the appropriate changes for your system and try again.`

It's worth noting I tried to install the program via the initial command, but recieved this error
ERROR: Could not find a version that satisfies the requirement tensorflow==2.0.0 (from ISR) (from versions: 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1) ERROR: No matching distribution found for tensorflow==2.0.0 (from ISR)

It's worth noting I tried to install the program via the initial command, but recieved this error
ERROR: Could not find a version that satisfies the requirement tensorflow==2.0.0 (from ISR) (from versions: 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1) ERROR: No matching distribution found for tensorflow==2.0.0 (from ISR)

Hi! Not sure if that helps, but you can also try installing TF 2.0.0 from a wheel from here: https://pypi.org/project/tensorflow/2.0.0/#files

This issue seems related: #126

Thanks! I'll give it a try


Several Arguments Seems Missing in llama-toolchain, according to your document

When building up the project according to your ''Installing and Configuring Distributions'' section, the following error occurs:
llama stack build local --name 8b-instruct
usage: llama [-h] {download,model,stack} ...
llama: error: unrecognized arguments: local --name 8b-instruct

llama stack build local-ollama --name 8b-instruct
usage: llama [-h] {download,model,stack} ...
llama: error: unrecognized arguments: local-ollama --name 8b-instruct

Also, I noticed that the ''api'' subcommand is missing. Is it because some components of the llama-stack repository are still incomplete?

Thanks for the report, @jnzju! @yanxi0830 updated these docs; let us know if you need more help


Custom Attributes(Claims) doesn't show up in the console app

Describe the issue:
After creating a new attribute in the Console app and turning on the "Display this attribute on the user's profile" option, it still cannot be seen on the user's profile page in the Console App. But it can be viewed from the Management Console.
How to reproduce:
Create a new attribute(Claim) from the Console app or from the Management console. Both are okay to reproduce the issue.

Here you can enter an existing attribute mapping. "address" is used here.

The newly created attribute can be found in the Management Console by navigating to Claims -> List -> http://wso2.org/claims

Also, it can be viewed from Users and Roles -> List -> Users -> A user's User Profile -> default

But the issue is, that the newly created attribute does not show up in the Console app.

Expected behavior:
A newly created Attribute(Claim) should be viewed from the Console app.
Environment information:

Product Version: [IS 6.0.0 M2]
OS: [Windows]
Database: [PostgreSQL]

Solution 1
The console app and the myaccount app uses /scim2/Me API to recieve user profile attributes that are being displayed.
So in order to display attributes you created in the user profile, you need to add a SCIM2 mapping to the attribute you created. This warning is already there in the user attribute info section that you will get redirected once the attribute is created.

Click here button and get redirected to the SCIM mapped attributes page. Use the Enterprise Schema tab and create a SCIM user attribute mapping.
The added mapping will be visible in myaccount -> profile info section.
Solution 2
Use the below documentation link and follow the steps to add the custom attribute with a SCIM2 mapping.


Update scalatest-flatspec to 3.2.11

Updates org.scalatest:scalatest-flatspec from 3.2.10 to 3.2.11.
I'll automatically update this PR to resolve conflicts as long as you don't change it yourself.
If you'd like to skip this version, you can just close this PR. If you have any feedback, just mention me in the comments below.
Configure Scala Steward for your repository with a .scala-steward.conf file.
Have a fantastic day writing Scala!

Files still referring to the old version number
The following files still refer to the old version number (3.2.10).
You might want to review and update them manually.
build.sbt

Ignore future updates
Add this to your .scala-steward.conf file to ignore future updates of this dependency:
updates.ignore = [ { groupId = "org.scalatest", artifactId = "scalatest-flatspec" } ]

labels: test-library-update, early-semver-patch, semver-spec-patch, old-version-remains, commit-count:1

Codecov Report

Merging #160 (d704b09) into master (d6d3d64) will not change coverage.
The diff coverage is n/a.

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  Coverage   100.00%   100.00%
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  Lines           35        35
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TeaVM fix 1.0.0-b3

Hey boys and girls,
there was a bug in TeaVM 1.0.0-b2 which is currently used by gdx-liftoff which threw an exception during compilation stage:
https://github.com/xpenatan/gdx-teavm/issues/65
The guys over there released a new version 1.0.0-b3 which fixed the issue (at least for me) but this version also requires some other changes because they remove the "web" package and classes.
The things I had to do:

change version from 1.0.0-b2 to 1.0.0-b3
in root gradle file I made sure that the mentioned repositories are part of it:maven { url "https://oss.sonatype.org/content/repositories/snapshots/" }
maven { url "https://oss.sonatype.org/content/repositories/releases/" }
maven { url "https://teavm.org/maven/repository/" }

change sourceCompatibility in root and lwgjl3 gradle from 1.8 to 11 (Not sure if this is something critical or not. I read that LibGDX nowadays also requires Java11 for compilation so it might be just fine?)
remove following line from teavm gradle dependencies:implementation "com.github.xpenatan.gdx-teavm:backend-web:$gdxTeaVMVersion"

in TeaVMBuilder.kt I had do fix the import for SkipClass to import com.github.xpenatan.gdx.backends.teavm.gen.SkipClass
in TeaVMLauncher.kt I had to replace WebApplication with TeaApplication

After those changes, my compilation worked again and I was able to run it successfully in the browser again. The project worked at the beginning with a basic LibGDX setup and ECS Fleks but at some point it broke. Unfortunately, I cannot tell when exactly it happened but it was after adding box2d and box2dlights but not sure if it was related to that.
Anyway, in case you need a reference for the adjusted files, have a look at: https://github.com/Quillraven/MysticGarden/commit/b3f2301557723e323bba17537c8b8abbd40919f6
@czyzby: can you please also verify that with your example teavm projects?

Sample projects are generated with gdx-liftoff via a GitHub Action, so once these issues are addressed here, I can trigger the actions manually and verify whether they compile correctly.

I believe I fixed these in https://github.com/tommyettinger/gdx-liftoff/commit/9604750bcfff9a4f7a1bc4fcbcdcaa244058260d yesterday, but today Xpe mentioned wanting to make a 1.0.0-b4 bugfix release, so there may still be bugs in 1.0.0-b3. There's also the thing where TeaVM requires JDK 11 now, and I've moved the default Java version to 11 so Android and TeaVM can work out-of-the-box. The Java version can still be changed as low as 7 in the Advanced tab. If there are other options here that don't involve requiring a JDK 11 or higher, that would be great, but Android is kind-of forcing our hand.

Thank you tommy for your great work with this setup tool 👍

I think you still need to update some imports in the template @tommyettinger. These are the errors I'm getting when generating a sample automatically with Kotlin template:
> Task :teavm:compileKotlin FAILED
5 actionable tasks: 5 executed
e: file:///home/runner/work/ktx-sample-web-project/ktx-sample-web-project/teavm/src/main/kotlin/ktx/demo/teavm/TeaVMBuilder.kt:10:2 Unresolved reference: SkipClass
e: file:///home/runner/work/ktx-sample-web-project/ktx-sample-web-project/teavm/src/main/kotlin/ktx/demo/teavm/TeaVMLauncher.kt:6:41 Unresolved reference: web
e: file:///home/runner/work/ktx-sample-web-project/ktx-sample-web-project/teavm/src/main/kotlin/ktx/demo/teavm/TeaVMLauncher.kt:15:5 Unresolved reference: WebApplication

Additionally, the following warning is raised:
'compileJava' task (current target is 11) and 'compileKotlin' task (current target is 1.8) jvm target compatibility should be set to the same Java version.
By default will become an error since Gradle 8.0+! Read more: https://kotl.in/gradle/jvm/target-validation

I can help with the warning. I fixed that yesterday in my project.
In the root Gradle file I had to adjust this block:
configure(subprojects - project(':android')) {
apply plugin: 'java-library'
apply plugin: 'kotlin'
sourceCompatibility = 11
compileJava {
options.incremental = true
}
compileKotlin {
compilerOptions.jvmTarget = JvmTarget.JVM_11
}
}
I added the compileKotlin block and then the warning was gone.

OK, I've fixed the Kotlin template errors and added the compileKotlin block. I'll commit this in a few hours (I must continue the commit streak!). For the first, I had already made the changes to the Java template, so these were quick to add to Kotlin's template, too. For the second, my approach isn't especially elegant; I just check that both the Kotlin plugin and the TeaVM platform are in use, and if so I emit the compileKotlin block. To avoid having to import JvmTarget (which seems to be in the Kotlin DSL's package, for some reason, and isn't immediately available to Groovy), I'm using a fully-qualified name, which at least limits the changes to this block.

I can confirm the app was exported correctly after the changed, thanks.


Update to swf-tree 0.9

This commit updates the SWF parser and type definitions to the version 0.9.
This version adds complete support for the SWF spec. It means that any valid file should now be parsed successfully. More improvements are planned to support invalid files. These changes were tested against Open Flash's test samples and the movies mentioned in https://github.com/LykenSol/flashback/pull/3#issuecomment-515109082.

https://github.com/open-flash/swf-tree/blob/master/CHANGELOG.md#090-2019-10-17
https://github.com/open-flash/swf-parser/blob/master/CHANGELOG.md#090-2019-10-17

I'll try to push the gh-pages branch soon, please remind me if I forget.


auto-multiple-choice needs imagemagick

Describe the bug
On a specific pdf file, auto-multiple-choice fails to match some scanned result in the data capture step. AMC fails to put the scanned pages in portrait mode. Enabling the debug logs, I can find this error :
[ 566758,   1.15] WARNING: undefined image orientation for /tmp/79DzJZiKON/2024-02-12-10-08-25.pdf-page-057-056.jpg
Can't exec "identify": No such file or directory at /nix/store/x1sfa6iacpmh3rc7b85zwjck7s51hq58-auto-multiple-choice-1.6.0/lib/perl/AMC-getimages.pl line 132.
[ 566758,   1.15] CMD: identify -format %w,%h

It seems the identify program (from imagemagick) is used to correctly identify whether the scanned results are in portait or landscape mode, and auto-multiple-choice does not depend on imagemagick.
Using a shell with both AMC and imagemagick fixed the problem for me, but the package needs to be fixed.
Notify maintainers
@thblt
Metadata
Please run nix-shell -p nix-info --run "nix-info -m" and paste the result.
nix-shell -p nix-info --run "nix-info -m"
 - system: `"x86_64-linux"`
 - host os: `Linux 6.1.75, NixOS, 23.11 (Tapir), 23.11.4166.20f65b86b648`
 - multi-user?: `yes`
 - sandbox: `yes`
 - version: `nix-env (Nix) 2.18.1`
 - channels(root): `"nixos-23.11"`
 - channels(remy): `""`
 - nixpkgs: `/nix/var/nix/profiles/per-user/root/channels/nixos`

The amc package uses graphicsmagick. Can you check if things work in a shell with  graphicsmagick-imagemagick-compat installed? Thanks!

It does work as expected with graphicsmagick-imagemagick-compat installed, @thblt


Migrate log in logic from OAuth implicit flow to PKCE

In order to support shorter-lived access tokens and seamless re-auth with refresh tokens on the front end, our log in flow should adopt PKCE in place of the implicit auth flow.

Duplicate of #620, but who's counting. 😆

D'oh! Closing in favor of #620


Request: Unlag chams

So uh Can you guys maybe add an accurate unlag? kinda like projectile prediction with chams and for the aimbot to shoot

What is accurate unlag :trollface:

rijin accurate Unlag (fake lag correction)

Example?

a cham that will render an unlagged player and the aimbot will try to shoot it rather than hitting the fake

pretty much most cheats goes up to 22 ticks

And how does that work, how am I meant to add that

maybe add proj prediction to the aimbot and add a cham for it

Dude what

https://www.youtube.com/watch?v=_bUf_OmySqU&t=41s
0:38

still dont get it?

 That's utterly retarded

lmao the cheat is a bit bad when it comes to fake lag hvh

projectile aimbot has player movement prediction maybe it can be use to unlag other hackers and make something for the aimbot to shoot it, like the aimbot aims at the last tick of backtrack

you can't "unlag" players that are fakelagging, tf2 does not simulate every tick like csgo, if they are not sending packets, they are not being simulated.
too stupid, didn't understand; simulating fakelagging players won't do anything because the server doesn't simulate them, you would end up shooting air.

i thought i closed this


Add pokeball command to actions

Adds the remaining Pokeball command action for Card Link
It provides a 3/7 chance to catch someone in your Pokeball.

I pushed a few nitpicks to save the back/forth. I'm good with this if it looks fine to you.


FIC f5-bigip-ctlr.k8s.ipam not found

Setup Details
FIC Version : 0.1.5
CIS Version : 2.6.0
FIC Build: f5networks/f5-ipam-controller:0.1.5
CIS Build: f5networks/k8s-bigip-ctlr:2.6.0
BIGIP Version: Big IP 15.0
AS3 Version: 3.28
Orchestration: K8S
Orchestration Version:
Additional Setup details: Cilium
Description
Deploying a type loadbalancer with the IPAM label results in the following FIC error:
[ERROR] Unable to Update IPAM: kube-system/f5-bigip-ctlr.k8s.ipam   Error: ipams.fic.f5.com "f5-bigip-ctlr.k8s.ipam" not found
And due to the above the CIS message:
IP address not available, yet, for service service: nginx/nginx-lb
Steps To Reproduce
CIS is installed using Helm and all objects that does not require FIC works when manually specifying the IP.
Roles are updated according to the doc.
kubectl describe clusterrole f5-bigip-ctlr
  ipams.fic.f5.com/status                         []                 []              [get list watch update create patch delete]
  ipams.fic.f5.com                                []                 []              [get list watch update create patch delete]

kubectl describe clusterrole ipam-ctlr-clusterrole
  ipams.fic.f5.com/status  []                 []              [get list watch update patch delete create]
  ipams.fic.f5.com         []                 []              [get list watch update patch delete create]

kubectl describe ipam -n kube-system
Name:         f5-bigip-ctlr.k8s.ipam
Namespace:    kube-system
Labels:       <none>
Annotations:  <none>
API Version:  fic.f5.com/v1
Kind:         IPAM
Metadata:
  Creation Timestamp:  2021-10-12T15:36:24Z
  Generation:          45
  Managed Fields:
    API Version:  fic.f5.com/v1
    Fields Type:  FieldsV1
    fieldsV1:
      f:spec:
        .:
        f:hostSpecs:
      f:status:
    Manager:         k8s-bigip-ctlr.real
    Operation:       Update
    Time:            2021-10-13T08:21:41Z
  Resource Version:  3617083
  UID:               7a38d2ae-77bd-4de7-85d3-f219fa4674ed
Spec:
  Host Specs:
    Ipam Label:  Production
    Key:         nginx/nginx-lb_svc
Status:
Events:  <none>

kubectl describe svc -n nginx
Name:              nginx
Namespace:         nginx
Labels:            name=nginx
                   role=public
Annotations:       <none>
Selector:          name=nginx
Type:              ClusterIP
IP Family Policy:  SingleStack
IP Families:       IPv4
IP:                <IP_ADDRESS>
IPs:               <IP_ADDRESS>
Port:              http  80/TCP
TargetPort:        80/TCP
Endpoints:         <IP_ADDRESS>:80,<IP_ADDRESS>:80,<IP_ADDRESS>:80
Session Affinity:  None
Events:            <none>

Name:                     nginx-lb
Namespace:                nginx
Labels:                   app=nginx
Annotations:              cis.f5.com/health: {"interval": 10, "timeout": 31}
                          cis.f5.com/ipamLabel: Production
Selector:                 name=nginx
Type:                     LoadBalancer
IP Family Policy:         SingleStack
IP Families:              IPv4
IP:                       <IP_ADDRESS>
IPs:                      <IP_ADDRESS>
Port:                     svc-lb1-80  80/TCP
TargetPort:               80/TCP
NodePort:                 svc-lb1-80  32479/TCP
Endpoints:                <IP_ADDRESS>:80,<IP_ADDRESS>:80,<IP_ADDRESS>:80
Port:                     svc-lb1-8080  8080/TCP
TargetPort:               8080/TCP
NodePort:                 svc-lb1-8080  30797/TCP
Endpoints:                <IP_ADDRESS>:8080,<IP_ADDRESS>:8080,<IP_ADDRESS>:8080
Session Affinity:         None
External Traffic Policy:  Cluster
Events:                   <none>

FIC logs:
2021/10/13 14:51:18 [INFO] [INIT] Starting: F5 IPAM Controller - Version: 0.1.5, BuildInfo: azure-1035-1bb5b0bc70546b7546ad2b1f42405b9aa867de2e
2021/10/13 14:51:18 [DEBUG] Creating IPAM Kubernetes Client
2021/10/13 14:51:18 [DEBUG] [ipam] Creating Informers for Namespace kube-system
2021/10/13 14:51:18 [DEBUG] Created New IPAM Client
2021/10/13 14:51:18 [DEBUG] [MGR] Creating Manager with Provider: f5-ip-provider
2021/10/13 14:51:18 [DEBUG] [STORE] Using IPAM DB file from mount path
2021/10/13 14:51:18 [DEBUG] [STORE] [ipaddress status ipam_label reference]
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage Uv38ByGCZU8WP18P
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage lWbHTRADfE17uwQH
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage gYVa2GgdDYbR6R4A
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage ZpTSxCKs0gigByk5
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage 650YpEeEBF2H88Z8
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage la9aJTZ5Ubqi/2zU
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Stage X7kLrbN8WCG22VUm
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 0 Production nginx/nginx-lb_svc
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production YyUlP+xzjdep4ov5
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production DwcCRIYVu9oIMT9q
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production C/UFmHWSHmaKW98s
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production ktJXK80GaNLWxS9Q
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production a/hMcXTLdHY2TMPb
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production Fy7YV5S7NYsMO1Jd
2021/10/13 14:51:18 [DEBUG] [STORE] <IP_ADDRESS> 1 Production /wlCedsZROvXoZ0P
2021/10/13 14:51:18 [DEBUG] [PROV] Provider Initialised
2021/10/13 14:51:18 [INFO] [CORE] Controller started
2021/10/13 14:51:18 [INFO] Starting IPAMClient Informer
I1013 14:51:18.234151       1 shared_informer.go:240] Waiting for caches to sync for F5 IPAMClient Controller
2021/10/13 14:51:18 [DEBUG] Enqueueing on Create: kube-system/f5-bigip-ctlr.k8s.ipam
I1013 14:51:18.334297       1 shared_informer.go:247] Caches are synced for F5 IPAMClient Controller
2021/10/13 14:51:18 [DEBUG] K8S Orchestrator Started
2021/10/13 14:51:18 [DEBUG] Starting Response Worker
2021/10/13 14:51:18 [DEBUG] Starting Custom Resource Worker
2021/10/13 14:51:18 [DEBUG] Processing Key: &{0xc0004d6420 <nil> Create}
2021/10/13 14:51:18 [ERROR] Unable to Update IPAM: kube-system/f5-bigip-ctlr.k8s.ipam	 Error: ipams.fic.f5.com "f5-bigip-ctlr.k8s.ipam" not found
2021/10/13 14:51:18 [DEBUG] Updated: kube-system/f5-bigip-ctlr.k8s.ipam with Status. With IP: <IP_ADDRESS> for Request:
Hostname: 	Key: nginx/nginx-lb_svc	IPAMLabel: Production	IPAddr: 	Operation: Create

Same issue here as well. Is anyone looking at this? Does any additional information need to be provided?

@andreasjacobi CIS is not validated on Cilium CNI.  @morishitaf5 and @writemike do you see this issue the same Cilium based setup. Unable to reproduce this issue. However, delete IPAM CRD and restart CIS. after restart CIS will create it again.

@trinaths Should the CNI affect the operation of CIS? Anyway I tried to delete the CRD and restart CIS and IPAM but that just gave me this:
E1102 09:54:45.566901       1 reflector.go:138] github.com/F5Networks/f5-ipam-controller/pkg/ipammachinery/informers.go:35: Failed to watch *v1.IPAM: failed to list *v1.IPAM: the server could not find the requested resource (get ipams.fic.f5.com)
The CRD is not re-created.

@trinaths I'm using a k3s deployment with flannel. Built using the "NGINX Ingress Controller Lab" UDF.

After a few f5-ipam-controller and k8s-bigip-ctlr pods restarts the error went away and IngressLink with ipamLabels started working. Wish I knew what fixed it. Anything I can provide here to help @andreasjacobi ?
CIS ARGs:
args: [
            "--bigip-username=$(BIGIP_USERNAME)",
            "--bigip-password=$(BIGIP_PASSWORD)",
            "--bigip-url=https://<IP_ADDRESS>",
            "--insecure=true",
            "--custom-resource-mode=true",
            "--bigip-partition=kubernetes",
            "--pool-member-type=cluster",
            "--flannel-name=/Common/flannel_vxlan",
            "--log-level=INFO",
            "--as3-validation=true",
            "--log-as3-response=true",
            "--ipam=true",
            "--disable-teems"
          ]

IPAM ARGs:
args:
            - --orchestration
            - kubernetes
            - --ip-range
            - '{"Production":"<IP_ADDRESS>-<IP_ADDRESS>","Default":"<IP_ADDRESS>-<IP_ADDRESS>"} '
            - --log-level
            - DEBUG`

k3s node info:
kg nodes -o wide

NAME      STATUS     ROLES                  AGE     VERSION        INTERNAL-IP   EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION    CONTAINER-RUNTIME
bigip1    NotReady   <none>                 7h58m                  <none>        <none>        <unknown>            <unknown>         <unknown>
knode2    Ready      <none>                 2d18h   v1.21.5+k3s2   <IP_ADDRESS>   <none>        Ubuntu 18.04.1 LTS   4.15.0-1021-aws   containerd://1.4.11-k3s1
knode1    Ready      <none>                 2d18h   v1.21.5+k3s2   <IP_ADDRESS>   <none>        Ubuntu 18.04.1 LTS   4.15.0-1021-aws   containerd://1.4.11-k3s1
kmaster   Ready      control-plane,master   2d18h   v1.21.5+k3s2   <IP_ADDRESS>   <none>        Ubuntu 18.04.1 LTS   4.15.0-1021-aws   containerd://1.4.11-k3s1

@writemike Thanks for your effort. I couldn't get it to work so I gave up on IPAM for now. I noticed that in my lab I run k8s 1.22 which I guess is not supported so that could be something.
I'm not sure if @morishitaf5 made any progress?

I have quite (except k3s v.1.19) the exact same setup like @writemike with the exact same error.
Any help/solution would be great. Everything is working, except services tpye LoadBalancer. :(

I have the same error and I cannot work around it. I get it whether I am using a VirtualServer or a IngressLink.
@writemike  you mentioned that the error went away after some restarts. Is it possible you rolled back to FIC version 0.1.4 and edited your clusterrole and ipam crd schema accordingly to make this work?
FIC Build: f5networks/f5-ipam-controller:0.1.5
CIS Build: f5networks/k8s-bigip-ctlr:2.6.0
BIGIP version: 16.1.1 - shouldnt matter, error is in K8s
AS3 version: 3.25 - shouldnt matter, error is in K8s
Orchestration: K8S
Additional Setup details: AKS

@andreasjacobi - Is CIS upgraded in your setup  from an older version to 2.6 ? if so, please delete the ipam crd and restart CIS. CIS will recreate that again.

@trinaths - You are correct, it is upgraded from older version. I just now tried deleting the CRD and restart the CIS but it doesn't re-create the CRD. Now I just get the CIS error message:
 E1201 08:08:18.868382       1 reflector.go:138] github.com/F5Networks/f5-ipam-controller/pkg/ipammachinery/informers.go:35: Failed to watch *v1.IPAM: failed to list *v1.IPAM: the server could not │
│  find the requested resource (get ipams.fic.f5.com)

 kubectl get crd ipams.fic.f5.com    Error from server (NotFound): customresourcedefinitions.apiextensions.k8s.io "ipams.fic.f5.com" not found

@andreasjacobi  can you share the come log rather than this 1 line from log.

I used CIS 2.6.1 at begining.
If I delete the IPAM CRD it will re-create after a CIS restart. But IPAM throw the error message above. :(

@trinaths I can easily reproduce this error but cannot work around it. I've emailed my complete logs from CIS and FIC to you, and supporting resource definitions.

@trinaths Logs emailed to you.

Update. @mdditt2000 helped me solve this. FIC and CIS should both run with the same svc account. I had created a svc account for FIC and another for CIS, with 2 different clusterroles and 2 different clusterrolebindings. After fixing this, my errors went away. I created a small repo with a working demo: https://github.com/mikeoleary/ipam-troubleshooting

@mikeoleary glad that resolved the issue. Thanks @nandakishorepeddi fir your help!!

Issue is a misconfiguration of the ServiceAccount and ClusterRoleBindings. I have created the following YouTube video and document on how to troubleshoot and resolve this configuration issue.
https://youtu.be/Zt_fEife19Y
https://github.com/mdditt2000/kubernetes-1-19/blob/master/cis 2.7/ipam/README.md
CIS 2.7 documentation will be updated for additional information. Closing this issue as resolved.


feature request: mxml as single header + source library

Would you consider making an amalgamated version of mxml which would allow to add 2 files to a project (mxml.h + mxml.c) and be built as part of the project?

Doing the whole library (indexing, etc.) probably isn't feasible, but I can look at refactoring things so the core XML functionality is available in one source file.

I'm using mxml 3.3.1. It works fine as a library in LInux with the main application written in Qt. In Win10, I compiled mxml in Visual Studio 2022. The main application is done in Qt-Creator 6.0.1. Qt just crashes when I try to use the DLL from VS. Undoubtedly this is some issue that could be figured out, but instead I just added your sources to the Qt project and all works. No action needed on your part, I just thought you'd like to know. Windows 21H2.
Thanks for all the work you did on this, and thanks for making it open source.


Changes to preferred name behaviour

Rename username to preferred name https://dfedigital.atlassian.net/browse/CPDEL-212
Remove initial "set username" screen https://dfedigital.atlassian.net/browse/CPDEL-364
Some other copy changes https://dfedigital.atlassian.net/browse/CPDEL-376

Guidance to review
Per one of the tickets, the account_created logic is sticking around and might be used in the future. It was already being set to true in the dashboard controller which is the new desired behaviour.
Testing
yes

I think
  Scenario: Should be able to load seed data
    Given seed data should be loaded
    And I am logged in as existing user with email<EMAIL_ADDRESS>    When I click the submit button
    Then "page body" should contain "Ambition Institute ECT User"

is failing because it expects the create account screen too. If you remove the When I click submit button line it ought to just work.


Release

Thanks @martinRenou for starting this.
Maybe we would like to start publishing this package to PyPI, and see if we can integrate it with existing repos.
I pushed a placeholder to https://pypi.org/project/jupyterlite-sphinx/, let me know if you would like to be added to it. Thanks!

Sure we can do this :)
I'll invite you to have full rights on this repo. I guess it's a bit early to make it part of the jupyterlite org but it's up to you.

It can be found here https://pypi.org/project/jupyterlite-sphinx/0.1.0, it's a very minimal first version

Nice thanks, a good start!


Onboard more extensions to localization

This extension tracks our progress to onboard our extensions to vscode-nls & our new localization pipeline:

[ ] ms-python.gather (uses custom solution) - https://github.com/microsoft/vscode-gather/issues/109
[ ] ms-toolsai.jupyter-renderers (not localized)
[ ] ms-vscode.anycode (not localized) - https://github.com/microsoft/vscode-anycode/issues/77
[ ] ms-vscode.hexeditor (not localized) https://github.com/microsoft/vscode-hexeditor/issues/468
[ ] dbaeumer.vscode-eslint (not localized) https://github.com/microsoft/vscode-eslint/issues/1753
[x] ms-vscode.vscode-selfhost-test-provider (not localized) (low pri: dev extension)
[x] ms-vscode.vscode-markdown-notebook (not localized) (low pri: dev extension)
[x] ms-vscode.mock-debug (not localized) (low pri: dev extension)
[x] ms-vscode.azurecli
[x] ms-vscode.sublime-keybindings
[x] ms-vscode.live-server
[x] ms-vscode-remote.remote-containers
[x] ms-vscode-remote.remote-ssh
[x] ms-vscode-remote.remote-ssh-edit
[x] ms-vscode-remote.remote-wsl
[x] ms-toolsai.jupyter
[x] ms-python.python
[x] ms-python.black-formatter
[x] ms-python.flake8
[x] ms-python.pylint
[x] ms-python.isort
[x] ms-python.autopep8
[x] Azure Repos
[x] GitHub Repositories
[x] Remote Repositories
[x] GitHub.vscode-pull-request-github
[x] ms-vscode.vscode-github-issue-notebooks
[x] ms-vscode.atom-keybindings (no strings to localize)
[x] ms-vscode.brackets-keybindings (no strings to localize)
[x] ms-vscode.notepadplusplus-keybindings (no strings to localize)
[x] ms-vscode.vs-keybindings (no strings to localize)
[x] ms-toolsai.jupyter-keymap (no strings to localize)
[x] ms-vscode.vscode-typescript-next (no strings to localize)

Closing this since issues have been created in their respective repos... the exception is Notebook Renderers which can't be localized at the moment.


Questions about dropout_add_rms_norm

Hello, I want to use the function in here. However, I do not know the meanings and dtype of these parameters. For example, the second parameters residual, is it a bool value? I send a bool value and met some bugs. At the same time, I want to know whether this function fused the dropout, residual and rms norm together? Can I use it to replace my function as following.
def _dropout_and_norm_attn(_hidden_states):
_dropped = self.dropout1(_hidden_states)
_residual = _dropped
_hidden_states = self.norm1(_residual.float())
return _residual, _hidden_states
if it does, how can I adopt my code? Maybe, it is better to give some explanations for these parameters. Looking forward for your reply.

You can look at the tests here and how it's used here.
It fuses:
dropped = self.dropout1(hidden_states)
residual = (dropped + residual) if residual is not None else dropped
hidden_states = self.norm1(residual)

Okay, thank you very much.

Another question about pre_norm. I found that if I set pre_norm is True, the function will return a tuple, which means (hidden_states, residual)?

Yes that's right, that's how it's used here.


Command Palette

Description
Changes proposed in this pull request:

...
...
...

Related issue(s)
Resolves #728

/retest

/retest

/retest

/test pre-busola-integration-test-k3s

/test pre-busola-integration-test-k3s

/test pre-busola-integration-test-k3s


is there any solution to fix n+1 problem from column expansion on grid?

Laravel Version: 9.19
PHP Version:8.0.2
Laravel-admin: 1.8.9

Description:
I try any step to fix n+1 problem on grid column expansion. how to fix it?

Will that help?
$grid->model()->with(['relations']);


Make on_crash callback FnOnce

Is your feature request related to a problem? Please describe.
Currently the on_crash callback has to be Fn, which imposes quite heavy restrictions on the closures user are able to pass.
Describe the solution you'd like
If I'm not mistaken the callback will only ever be called once during the lifetime of the instumented app (bc it's gonna crash afterwards) so it should be possible to change the signature to FnOnce to allow consumers maximum flexibility (especially use move closures)
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
Additional context
Add any other context or screenshots about the feature request here.

Seems reasonable.


Example with standalone build

Hi, this is a great repo and has been really helpful to me in setting up my own Next.js monorepo. Thank you.
One suggestion. Next.js recommends using output file tracing ("standalone" build) with Docker:

https://nextjs.org/docs/advanced-features/output-file-tracing
https://github.com/vercel/next.js/tree/canary/examples/with-docker

I've modified your example to use this feature, and it seems to work.
In next.config.mjs:
import path from "path";
import url from "url";

const _filename_ = url.fileURLToPath(import.meta.url);
const _dirname_ = path.dirname(_filename_);
const ROOT_DIR = path.resolve(_dirname_, "..", "..");

/**
 * @type {import('next').NextConfig}
 */
const nextConfig = {
  ...
  experimental: {
    // For tracing, include files from the monorepo base (two directories up).
    // https://nextjs.org/docs/advanced-features/output-file-tracing#caveats
    outputFileTracingRoot: ROOT_DIR,
  },
  output: "standalone",
  ...
};

In Dockerfile's last stage:
ARG APP_NAME

WORKDIR /base/apps/${APP_NAME}

ENV NODE_ENV production

RUN addgroup --system --gid 1001 nodejs && adduser --system --uid 1001 nextjs

COPY --from=builder --chown=nextjs:nodejs /base/apps/${APP_NAME}/.next/standalone/ /base/
COPY --from=builder --chown=nextjs:nodejs /base/apps/${APP_NAME}/.next/static /base/apps/${APP_NAME}/.next/static
COPY --from=builder --chown=nextjs:nodejs /base/apps/${APP_NAME}/public /base/apps/${APP_NAME}/public

...

# Start the app.
CMD ["node", "server.js"]

Note: The contents of the standalone directory are copied to /base/. (My base directory is base rather than app because I don't like the look of /app/apps.)

Happy to know that it's useful, thanks.

The contents of the standalone directory are copied to /base/. (My base directory is base rather than app because I don't like the look of /app/apps.)

Yes I agree :smile:
And yesy it should work. A question about the .next folder, isn't that safer to add it to dockerignore ?
In the short term I'll release rewrite a v2 of this repo... based on pnpm - with nx and turbo for the example part. When ready 'll improve the docker too and take the standalone from your example if you don't mind
Thanks again

A question about the .next folder, isn't that safer to add it to dockerignore ?

Yep, the .next folder should be in .dockerignore.

In the short term I'll release rewrite a v2 of this repo... https://github.com/belgattitude/nextjs-monorepo-example/pull/2765 - with nx and turbo for the example part. When ready 'll improve the docker too and take the standalone from your example if you don't mind

Awesome. Looking forward to seeing your v2.

Closed as it’s done in https://github.com/belgattitude/nextjs-monorepo-example/blob/main/docker/Dockerfile


Pass loadable-stats.json to ChunkExtractor ?

Currently, statsFile is the path to ChunkExtractor.
Is there anyway for us to pass the json content to ChunkExtractor instead ?
I'd like to do like this
const statsJson = require('loadable-stats.json')
const extractor = new ChunkExtractor({statsJson})

Hello @revskill10, yes of course, see h-code/loadable-components/blob/master/packages/server/src/ChunkExtractor.js#L151
Use stats instead of statsFile.


Feature request: Word count for all notes in the containing folder

Hello! Thanks for the plugin. I'm using folders to organize notes that will eventually be stitched together into very very long files, probably in software outside Obsidian. As such, I'm interested in knowing the number of words in all files in a given folder (plus the various associated stats, e.g. count deltas on those folders, etc.).
Is such an addition possible?

I came here to request exactly the same thing.
An idea would be to create an "outline file" which only contains wiki-links to other notes. And hen a command that displays word/char counts for each wiki-linked note. maybe by just appending the count after the wikilink, e.g.:
[[linked note]] - 230 words
[[linked note 2]] - 402 words

My preference is to be able to configure "total in parent folder" as one of the status bar options but whatever works!

Hi thank you for creating this issue. This has been suggested by many people on the discord and Reddit. So it is definitely on the list. I'm not sure how it will be implemented yet. Probably as a status bar option. Thank you for the other suggestions as well.

This would be great for me too. Looking forward to what you come up with @lukeleppan & great work so far.

@lukeleppan Thanks for considering! I also very much support @kevboh’s suggestion, since I also use his Longform plugin.

Good luck on your exams!


 This error will disappear.

Sounds good.


Add configuration step to clear up readme

Coverage remained the same at 94.655% when pulling c273efd1b383ca8ba2998886107fd7c9dc6ae947 on bnmrrs:update-docs into 848e8b2d0157335efc2be3acac736656a248b247 on kikinteractive:master.

@bnmrrs Thanks for the fix. You get to be the first PR through, congrats!

Can you bump the package version to 2.0.1 for npm?

Coverage remained the same at 94.655% when pulling c5e6c9557f8615e80acd2c574e14175c8ea498d2 on bnmrrs:update-docs into 848e8b2d0157335efc2be3acac736656a248b247 on kikinteractive:master.

@mproberts Done!

Coverage remained the same at 94.655% when pulling c5e6c9557f8615e80acd2c574e14175c8ea498d2 on bnmrrs:update-docs into 848e8b2d0157335efc2be3acac736656a248b247 on kikinteractive:master.

Looks good, thanks Ben. :+1:


Fix #27.

Coverage remained the same at 100.0% when pulling 07ed3f5f99c10c2247e5ac6c675d1376298cc9ed on Axure:1.3.x into 90bb82f003a22d6853ccc18d7b6239e235872ebb on ColinH:1.3.x.

The renaming of the input classes was done after 1.3.x so the documentation is correct in that branch.


AdamW does not load for tensorflow 2.11.0

System information.
python version: 3.9.10
python branch:
python build version: ('main', 'Feb 23 2022 17:21:47')
python compiler version: GCC 4.8.5 20150623 (Red Hat 4.8.5-44)
python implementation: CPython
== compiler =====================================================
c++ (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
Copyright (C) 2015 Free Software Foundation, Inc.
tf.version.VERSION = 2.11.0
tf.version.GIT_VERSION = v2.11.0-rc2-17-gd5b57ca93e5
tf.version.COMPILER_VERSION = 9.3.1 20200408
Problem:
The AdamW optimizer will not load for tensorflow version 2.11.0.
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-21-633fecdb3a51> in <module>
      4
      5 model = generate_model(df_sub)
----> 6 model.compile(loss=error, optimizer=optimizers.AdamW(learning_rate=0.01))
      7
      8 model.summary()

AttributeError: module 'keras.api._v2.keras.optimizers' has no attribute 'AdamW'

@maerory,
Could you please provide the complete standalone code to reproduce the issue which helps us to analyse the issue in an effective way. Thank you!

Please update the latest version of Tensorflow 2.13 and then check if it's working or not.

@tilakrayal I do not possess all the rights to the original code so it might be a little difficult to share the whole code.
@hi-sushanta
I was managed to load AdamW with tensorflow 2.13.0. However, I am facing another graph execution error.
Epoch 1/100
---------------------------------------------------------------------------
FailedPreconditionError                   Traceback (most recent call last)
<ipython-input-12-2f04be9f29a8> in <module>
     12 ]
     13
---> 14 history = model.fit(
     15     x=xt,
     16     y=yt,

/usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py in error_handler(*args, **kwargs)
     68             # To get the full stack trace, call:
     69             # `tf.debugging.disable_traceback_filtering()`
---> 70             raise e.with_traceback(filtered_tb) from None
     71         finally:
     72             del filtered_tb

/usr/local/lib/python3.9/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     51   try:
     52     ctx.ensure_initialized()
---> 53     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     54                                         inputs, attrs, num_outputs)
     55   except core._NotOkStatusException as e:

FailedPreconditionError: Graph execution error:

Detected at node 'AdamW/StatefulPartitionedCall_5' defined at (most recent call last):
    File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code
      exec(code, run_globals)
    File "/usr/local/lib/python3.9/site-packages/ipykernel_launcher.py", line 16, in <module>
      app.launch_new_instance()
    File "/usr/local/lib/python3.9/site-packages/traitlets/config/application.py", line 846, in launch_instance
      app.start()
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelapp.py", line 619, in start
      self.io_loop.start()
    File "/usr/local/lib/python3.9/site-packages/tornado/platform/asyncio.py", line 199, in start
      self.asyncio_loop.run_forever()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 596, in run_forever
      self._run_once()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 1890, in _run_once
      handle._run()
    File "/usr/local/lib/python3.9/asyncio/events.py", line 80, in _run
      self._context.run(self._callback, *self._args)
    File "/usr/local/lib/python3.9/site-packages/tornado/ioloop.py", line 688, in <lambda>
      lambda f: self._run_callback(functools.partial(callback, future))
    File "/usr/local/lib/python3.9/site-packages/tornado/ioloop.py", line 741, in _run_callback
      ret = callback()
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 814, in inner
      self.ctx_run(self.run)
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 775, in run
      yielded = self.gen.send(value)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 358, in process_one
      yield gen.maybe_future(dispatch(*args))
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 234, in wrapper
      yielded = ctx_run(next, result)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 261, in dispatch_shell
      yield gen.maybe_future(handler(stream, idents, msg))
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 234, in wrapper
      yielded = ctx_run(next, result)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 536, in execute_request
      self.do_execute(
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 234, in wrapper
      yielded = ctx_run(next, result)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/ipkernel.py", line 302, in do_execute
      res = shell.run_cell(code, store_history=store_history, silent=silent)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/zmqshell.py", line 539, in run_cell
      return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2914, in run_cell
      result = self._run_cell(
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2960, in _run_cell
      return runner(coro)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/async_helpers.py", line 78, in _pseudo_sync_runner
      coro.send(None)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3185, in run_cell_async
      has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3377, in run_ast_nodes
      if (await self.run_code(code, result,  async_=asy)):
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3457, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "<ipython-input-12-2f04be9f29a8>", line 14, in <module>
      history = model.fit(
    File "/usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1742, in fit
      tmp_logs = self.train_function(iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1338, in train_function
      return step_function(self, iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1322, in step_function
      outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1303, in run_step
      outputs = model.train_step(data)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1084, in train_step
      self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 544, in minimize
      self.apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1230, in apply_gradients
      return super().apply_gradients(grads_and_vars, name=name)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 652, in apply_gradients
      iteration = self._internal_apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1260, in _internal_apply_gradients
      return tf.__internal__.distribute.interim.maybe_merge_call(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1352, in _distributed_apply_gradients_fn
      distribution.extended.update(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1347, in apply_grad_to_update_var
      return self._update_step_xla(grad, var, id(self._var_key(var)))
Node: 'AdamW/StatefulPartitionedCall_5'
DNN library initialization failed. Look at the errors above for more details.
	 [[{{node AdamW/StatefulPartitionedCall_5}}]] [Op:__inference_train_function_1694]

You try to restart runtime and then check if it's work or not.

@hi-sushanta
The error has been updated. Looks like my CuDNN for my GPU is an older version?
2023-07-11 13:04:06.437658: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fe5f401cbc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-07-11 13:04:06.437714: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA Tesla T4, Compute Capability 7.5
2023-07-11 13:04:06.445343: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-07-11 13:04:07.427286: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.429623: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.444968: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.446482: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.460456: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.461876: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.475345: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.476726: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.491007: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.492400: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.506442: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.507826: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
---------------------------------------------------------------------------
FailedPreconditionError                   Traceback (most recent call last)
Cell In[14], line 14
      1 LR_SCHEDULE = [
      2     (10, 0.005),
      3     (20, 0.001),
      4     (30, 0.0005),
      5     (50, 0.00001)
      6 ]
      8 callbacks = [
      9 #     tf.keras.callbacks.ReduceLROnPlateau(monitor='val_loss', min_lr=1e-6),
     10     tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=20),
     11     CustomLRScheduler(lr_schedule),
     12 ]
---> 14 history = model.fit(
     15     x=xt,
     16     y=yt,
     17     batch_size=1200,
     18     epochs=100,
     19     verbose=1,
     20     callbacks=CustomLRScheduler(lr_schedule),
     21     validation_data=(xT, yT)).history
     24 pd.DataFrame(history)[['loss', 'val_loss']][2:].plot()

File /usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs)
     67     filtered_tb = _process_traceback_frames(e.__traceback__)
     68     # To get the full stack trace, call:
     69     # `tf.debugging.disable_traceback_filtering()`
---> 70     raise e.with_traceback(filtered_tb) from None
     71 finally:
     72     del filtered_tb

File /usr/local/lib/python3.9/site-packages/tensorflow/python/eager/execute.py:53, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     51 try:
     52   ctx.ensure_initialized()
---> 53   tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     54                                       inputs, attrs, num_outputs)
     55 except core._NotOkStatusException as e:
     56   if name is not None:

FailedPreconditionError: Graph execution error:

Detected at node 'AdamW/StatefulPartitionedCall_5' defined at (most recent call last):
    File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code
      exec(code, run_globals)
    File "/usr/local/lib/python3.9/site-packages/ipykernel_launcher.py", line 17, in <module>
      app.launch_new_instance()
    File "/usr/local/lib/python3.9/site-packages/traitlets/config/application.py", line 1043, in launch_instance
      app.start()
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelapp.py", line 728, in start
      self.io_loop.start()
    File "/usr/local/lib/python3.9/site-packages/tornado/platform/asyncio.py", line 195, in start
      self.asyncio_loop.run_forever()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 596, in run_forever
      self._run_once()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 1890, in _run_once
      handle._run()
    File "/usr/local/lib/python3.9/asyncio/events.py", line 80, in _run
      self._context.run(self._callback, *self._args)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 513, in dispatch_queue
      await self.process_one()
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 502, in process_one
      await dispatch(*args)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 409, in dispatch_shell
      await result
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 729, in execute_request
      reply_content = await reply_content
    File "/usr/local/lib/python3.9/site-packages/ipykernel/ipkernel.py", line 422, in do_execute
      res = shell.run_cell(
    File "/usr/local/lib/python3.9/site-packages/ipykernel/zmqshell.py", line 540, in run_cell
      return super().run_cell(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3009, in run_cell
      result = self._run_cell(
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3064, in _run_cell
      result = runner(coro)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/async_helpers.py", line 129, in _pseudo_sync_runner
      coro.send(None)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3269, in run_cell_async
      has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3448, in run_ast_nodes
      if await self.run_code(code, result, async_=asy):
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3508, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "/tmp/ipykernel_33447/3475931621.py", line 14, in <module>
      history = model.fit(
    File "/usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1742, in fit
      tmp_logs = self.train_function(iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1338, in train_function
      return step_function(self, iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1322, in step_function
      outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1303, in run_step
      outputs = model.train_step(data)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1084, in train_step
      self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 544, in minimize
      self.apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1230, in apply_gradients
      return super().apply_gradients(grads_and_vars, name=name)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 652, in apply_gradients
      iteration = self._internal_apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1260, in _internal_apply_gradients
      return tf.__internal__.distribute.interim.maybe_merge_call(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1352, in _distributed_apply_gradients_fn
      distribution.extended.update(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1347, in apply_grad_to_update_var
      return self._update_step_xla(grad, var, id(self._var_key(var)))
Node: 'AdamW/StatefulPartitionedCall_5'
DNN library initialization failed. Look at the errors above for more details.
	 [[{{node AdamW/StatefulPartitionedCall_5}}]] [Op:__inference_train_function_1309]

Please can you provide your notebook?

@hi-sushanta is there any way to fix it without sharing the notebook file?

There's another related minor issue, AdamW does not work with tf.keras.optimizers.get. It's missing in all_classes dictionary here

@maerory you need to upgrade your CuDNN library to a version that is compatible with the version of TensorFlow that you are using

@maerory,
Without the reproducible code, it would be difficult for us to debug the issue. In order to expedite the trouble-shooting process, could you please provide a minimal code snippet you are using. Thank you!


Update requirements_dev.txt

Pull Request Test Coverage Report for Build<PHONE_NUMBER>

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 93.878%

Totals

Change from base Build<PHONE_NUMBER>:
0.0%

Covered Lines:
92

Relevant Lines:
98

💛  - Coveralls

Pull Request Test Coverage Report for Build<PHONE_NUMBER>

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 93.878%

Totals

Change from base Build<PHONE_NUMBER>:
0.0%

Covered Lines:
92

Relevant Lines:
98

💛  - Coveralls


rofi: fix displaying hicolor icons

Motivation for this change
Fixes rofi not displaying hicolor icons: #76196
Things done

[x] Tested using sandboxing (nix.useSandbox on NixOS, or option sandbox in nix.conf on non-NixOS linux)
Built on platform(s)

[x] NixOS
[ ] macOS
[ ] other Linux distributions

[ ] Tested via one or more NixOS test(s) if existing and applicable for the change (look inside nixos/tests)
[ ] Tested compilation of all pkgs that depend on this change using nix-shell -p nixpkgs-review --run "nixpkgs-review wip"
[x] Tested execution of all binary files (usually in ./result/bin/)
[ ] Determined the impact on package closure size (by running nix path-info -S before and after)
[ ] Ensured that relevant documentation is up to date
[x] Fits CONTRIBUTING.md.

Notify maintainers
cc @mbakke @ma27

@worldofpeace I didn't use wrapGAppsHook because the application isn't a GNOME or GTK app and already has a separate wrapper. Although, this doesn't seem like a very clean solution. Do you think it be better to just use wrapGAppsHook anyway?


Review  to see if code duplication score can be improved

See codeclimate.
It may not be possible or sensible to remove this duplication hence why this issue is titled "Review".
From an initial quick look the fix is to break out things into methods and call the new method each time.

This might have automagically improved with the work on #19.

Fixed with commits on #19.


Move template and static to root

Description
Move the template directory and the static directory to the root level
Rationale
It's mostly a uvicorn reloading issue. I haven't tested this yet, but the current configuration always reloads if HTML / static files are edited, but on Django they do not reload. Will look a little more into this.

Although it may not be needed if Django can pull off an async dev server in Django 3.3...

I think we close this one now. Feel free to reopen if I missed anything


Initial checkin for TelemetryProcessor

Add Initial TelemetryProcessor support, patterning after nodejs.

Nice, looks good! Can you please add a note to the CHANGELOG.md and usage exampe in README.


No import examples on documentation

Im looking for import examples to reuse my configurations. I tried many ways I thought it could be done but none of that worked. It would be nice to see some examples on the URL as a mail level syntax element too.
As the wiki say:
There are 5 top level test syntax elements:

    url: a simple test, fetches given url via GET request and checks for good response code

Hi there,
I came across the same import problem mentioned above, and I've tried
---
- import: miniapp-test.yaml

but occurred No such file or directory IOError，I'm sure the target yaml DO exists and in the same path. I've also tried absolute Path，but neither work. Any other solution?


Module not found: Can't resolve '@svgr/webpack'

Hello! I am trying to use this library in my Next.js crypto project. And I am getting this error when I install this library.
Module not found: Can't resolve '@svgr/webpack'

Import trace for requested module:
./node_modules/react-crypto-icons/lib/Icon.js
./node_modules/react-crypto-icons/lib/index.js
./src/components/UI/Crypto/FTView.tsx
./src/pages/index.tsx

P.S: I even tried to install @svgr/webpack library but then I get another issue.

Thanks for opening this issue. When creating this library, I did not test it with the Next.js framework. The @svgr/webpack package is a dev dependency for this library and therefore is required for use.
Please provide some more info about your project:

What version of Next.js are you using?
What is the error message you get after installing @svgr/webpack?
Have you setup a custom webpack config?

In the meantime, I found this stack overflow issue that seems similar to the one you are having.

Same here, I'm using the latest version of NextJS, and this package doesn't works :(

Exactly the same issue here. I'm using NX mono repo with a React app.

This looks to be an issue with how this library interacts directly with @svgr/webpack, which is essentially a webpack-only package.
Because monorepos (and monorepo-like tools like bit.dev) dont hold all tooling dependencies in the top-level node_modules you get an error when an individual component tries to access tooling-specific packages, as they're only installed as dependencies of the tooling (e.g. with bit.dev that's a dependency of the environment building your components).
Cant work out why installing it directly in the project doesnt work though (as @JJ810 reported above)

Did anyone manage to get this working with Next.js. I've got the same error as @lucasbara

Still having this issue. Installing @svgr/webpack explicitly produces this error.
Module not found: Package path ./?+svgo,+titleProp,+ref is not exported from package D:\[PROJECT_FOLDER]\node_modules\@svgr\webpack (see exports field in<EMAIL_ADDRESS>

Running into this problem using ReactJS and Vite.

same issue here with plain React + Vite... the problem is that this is a webpack focused lib so it expects a loader


Develop

Set version to 3.3.0.
Add transaction_hash property to each decoded log

Coverage increased (+0.8%) to 86.393% when pulling d030e2b59386ea84b958ee69354f01dd3d3cb7e7 on develop into b722fe448186722c64f0d5c029ad9e3254c7522b on master.


Create polytech-lille.txt

According to DNS, the domain polytech-lille.net is owned by  Ecole Polytechnique Universitaire de Lille, the same organization as the one owning a domain of the official website, polytech-lille.fr.
@SHALALALALA I am sorry for a delay with processing your request. Pull request is now merged. Thank you for your contribution.


Autotools

the RING.m4 is still under constructions, and can not be used right now.
this commit is part of autotools patch, this aims to give the ability to use autotools and make the benefits of it.
the upcoming is to give the user the power of using ./configure script to choose his preferable flavours of ring extensions to be compiled with ring.

Thanks for the update


[ISSUE-633][FEATURE] Support provider user identity by customized class and keep LifecycleManager and ShuffleClient user identity consistence

What changes were proposed in this pull request?
Why are the changes needed?

What are the items that need reviewer attention?
Related issues.
Related pull requests.
How was this patch tested?
/cc @related-reviewer
/assign @main-reviewer

ping @waitinfuture @FMX @RexXiong


Simulator improvements

The simulator we have right now is pretty basic. Let's improve it as follows:

[ ] Multiple tenants with their own database, but using same I/O dispatcher. Verify that tenants read from their own database file.
[ ] Write to the database and verify data consistency.
[ ] Make fault injection more explicit. For example, simulate out of disk space or disk errors.
[ ] Simulate out of memory situations. We may want explicit Allocator for this.

How should the tenants interact? in a multithreaded way or with concurrency as perf/latency?

i'm interested in doing some of these enhancements in my part time (can not guarantee the completion time though).
please assign to me if there's no other working on it.


Refactor some styling, notes page

📝 Changed routes:

/endorsements
/

(view full size)
(view full size)

/notes

(view full size)

And 1 other route:

/api/skill-category

Commit 0c0bccc82510e007ef31e844253e35bf420dfc2f (https://thvu-blog-1sqehvef1-thvu.vercel.app).


Feature/create event sub

Description
Changes proposed in this pull request:

...
...
...

Related issue(s)

/test all

/test all

/test all

/test all

/test all

/retest

/retest

/retest

/retest

"So, for now unfortunately it is 7 segments constraint, we try to fix that soonish, it’s already in our backlog" Info from Tunas, we have to discuss about solution of Event type

/retest

/retest


Adds photo gallery (unlinked for now)

Adds photo gallery and a few photos for three teams:

Mountain Wave
MultCo
PMR

Still need to add CSAR

Closing for now. I'll reopen when all photos are in.


Change behaviour of pause button to restart stream

I'm using the audio player to play a live mp3 stream from a URL. When the player is paused and re-played, I want to re-fetch the stream and begin playing from the 'live' position. Is this possible? How would I go about adapting the current code to do this? Thanks!

I'm not sure how a live stream mp3 works. The functionality of playing/pausing is in build/src/functions/playPause. You can probably handle it using the audioRef. Maybe use audioRef.currentTime if you're tracking the current time of the live stream when paused? I'm not sure how live streaming works in this context tho. Feel free to fork and play with the code as needed.


Please update to be compatible with Avalonia 11.1.x

Thanks for your hard work in building such a wonderful library!
I am using Avalonia version 11.0.11, everything works perfectly!
But when I updated to version 11.1.x, there was a binding error.
I did some research and it seems the Binding system has been reworked since 11.1.
https://github.com/AvaloniaUI/Avalonia/issues/15270

I have created a pull request
https://github.com/MicroSugarDeveloperOrg/LocalizationManager.Avalonia/pull/8#issue-2444332870