text:
🛑 Greater Bank is down

In e72af00, Greater Bank (https://public.cdr-api.greater.com.au/cds-au/v1/banking/products) was down:

HTTP code: 403
Response time: 949 ms

Resolved: Greater Bank is back up in 768dad5.

repo: LukePrior/OpenBankingUptime


text:
🛑 Greater Bank is down

In 34bed5f, Greater Bank (https://public.cdr-api.greater.com.au/cds-au/v1/banking/products) was down:

HTTP code: 403
Response time: 786 ms

Resolved: Greater Bank is back up in 4025bb2.

source: gharchive/issue

license: MIT

license_type: permissive

license_source: github-api


text:
🛑 Official（泠泫凝的异次元空间-主页） is down

In dfe83a9, Official（泠泫凝的异次元空间-主页） (https://lxnchan.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Official（泠泫凝的异次元空间-主页） is back up in 659a2a1 after 8 minutes.

repo: LxnChan/status


text:
🛑 EnderChest（末影箱-云盘） is down

In 0700225, EnderChest（末影箱-云盘） (https://enderchest.anavi.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: EnderChest（末影箱-云盘） is back up in 4f5ca1b after 5 minutes.


text:
🛑 EnderChest（末影箱-云盘） is down

In 0f48296, EnderChest（末影箱-云盘） (https://enderchest.anavi.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: EnderChest（末影箱-云盘） is back up in 1c0626b after 19 minutes.


text:
🛑 EnderChest（末影箱-云盘） is down

In 65f8f76, EnderChest（末影箱-云盘） (https://enderchest.anavi.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: EnderChest（末影箱-云盘） is back up in e99f3e5 after 5 minutes.


text:
🛑 Official（泠泫凝的异次元空间-主页） is down

In fa9cc85, Official（泠泫凝的异次元空间-主页） (https://lxnchan.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Official（泠泫凝的异次元空间-主页） is back up in b2ad142 after 45 minutes.


text:
🛑 Official（泠泫凝的异次元空间-主页） is down

In 52ac59c, Official（泠泫凝的异次元空间-主页） (https://lxnchan.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Official（泠泫凝的异次元空间-主页） is back up in 9b4296b after 15 minutes.


text:
🛑 EnderChest（末影箱-云盘） is down

In c583a25, EnderChest（末影箱-云盘） (https://enderchest.anavi.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: EnderChest（末影箱-云盘） is back up in 6f73957 after 1 hour, 1 minute.


text:
🛑 Official（泠泫凝的异次元空间-主页） is down

In e3ad3f2, Official（泠泫凝的异次元空间-主页） (https://lxnchan.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Official（泠泫凝的异次元空间-主页） is back up in 5a19ce8 after 5 minutes.


text:
🛑 Official（泠泫凝的异次元空间-主页） is down

In 931a2bd, Official（泠泫凝的异次元空间-主页） (https://lxnchan.cn) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Official（泠泫凝的异次元空间-主页） is back up in db4bfa7 after 21 minutes.


text:
🛑 mongo-hetzner is down

In e08e91e, mongo-hetzner ($URI_HETZNER) was down:

HTTP code: 0
Response time: 0 ms

Resolved: mongo-hetzner is back up in 1d80d12.

repo: LyoSU/upptimly


text:
🛑 Edge Compute Cluster - US West is down

In b3880b4, Edge Compute Cluster - US West (https://uswest1-vega.lyrid.io/version) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Edge Compute Cluster - US West is back up in 3143b32.

repo: LyridInc/statuspage


text:
🛑 sspanel is down

In c702feb, sspanel (https://ss.168167.xyz) was down:

HTTP code: 500
Response time: 999 ms

Resolved: sspanel is back up in 9049682 after 1 hour, 56 minutes.


text:
Unresponsive news letter banner

Describe the bug
The news letter banner in the home screen is unresponsive on smaller devices
To Reproduce
Go to home page
Screenshots

Hey @MAVRICK-1 I would like to work on this issue under SSOC

@iSubhamMani duplicate issue #11


text:
How do other networks use SCConv convolution block?

If I want to use it in other networks, such as VGG ,ALexNet，and so on, I just need to replace the standard convolution blocks with this SCConv module whether or not？

You should include the K1 path as well: https://github.com/MCG-NKU/SCNet/blob/c0b5bd6aa919c00afb5815b2810e645e6a4a5976/scnet.py#L78 .
Also, the BN layers should be removed accordingly.

The BN layers ?  removed？
Does it refer to the BN layer contained in K1,K2,K3,K4？
Do I just need to remove them？

Architectures like VGGs do not have BN layers.
For those models, you should remove all the BN layers.

repo: MCG-NKU/SCNet


text:
Bug in generator

[Server] WARN This is a bug in the generator plugin, NOT a bug in Multiverse!
[Server] WARN Failed to set the generator for world 'test' to 'TerrainControl':
java.lang.NullPointerException: The validated object is null

Could you post the rest of the error? While these lines are the most useful for you, they don't contain any information for us to resolve the issue.

there is no more error juste that's

There must be other lines nearby containing stuff like at com.khorn.terraincontrol, but maybe your admin panel doesn't display them.
What I would try:

create a world with another name - the name 'test' sometimes causes problems, as that name is also used internally by Multiverse for several tests.
make sure you have the correct TerrainControl version for your Minecraft version -- see the table over here.

Ok, thanks

authors: Culvanen rutgerkok

repo: MCTCP/TerrainControl

license: mit

license_source: bigquery


text:
Allow specifying custom task repo - all-in-one PR

Allow users to specify the task repo rather than always using TASK_REPO_URL
Watch out:

.env changes

Testing:
try running a task from another repo

Same as this stack:
https://github.com/METR/vivaria/pull/737 - Add repoName to TaskSource
https://github.com/METR/vivaria/pull/738 - Add taskRepoName to task_environments_t
https://github.com/METR/vivaria/pull/739 - Update the frontend taskRepoUrl function to use the DB taskRepoName
https://github.com/METR/vivaria/pull/740 - Fetch tasks from repos other than TASK_REPO_URL
https://github.com/METR/vivaria/pull/741 - Allow specifying custom task repo
https://github.com/METR/vivaria/pull/742 - Add more params to CopyRunCommandButton
But @sjawhar requested an all-in-one PR

Also, getOrCreateLockFile() is a misleading function. The lock file does not need to exist, its parent directory does.

When I tried it it seemed that the lockfile did need to exist. And when you were encountering errors before, you said it was because wellKnownDir didn't exist, but Vivaria has always put lockfiles in wellKnownDir so I would be surprised if that was the case, I'm pretty sure the errors you were encountering was because the lockfile didn't exist

Please do not merge without fixing the / in the image name

When I tried it it seemed that the lockfile did need to exist.

$ rm -f this_file_does_not_exist.lock && git status && flock this_file_does_not_exist.lock git status
On branch report-run-error-rate
Your branch is up to date with 'origin/report-run-error-rate'.

nothing to commit, working tree clean
On branch report-run-error-rate
Your branch is up to date with 'origin/report-run-error-rate'.

Untracked files:
  (use "git add <file>..." to include in what will be committed)
        this_file_does_not_exist.lock

nothing added to commit but untracked files present (use "git add" to track)

Flock will create the lock file, that is not the issue

Please do not merge without fixing the / in the image name

I did fix this already in 062ae40

source: gharchive/pull-request

authors: oxytocinlove sjawhar

repo: METR/vivaria


text:
Grid spacing becomes inconsistent with high slope values.

The italic grid gets closer together the higher the slope value.

This has been fixed in the newest working branch commit. Closing this here.

repo: MFEK/glif


text:
[Question] NVIDIA GeForce RTX 4080 GPU is not yet supported in the Docker

:question: Question

Hi, I build and run the docker, everything looks right except a warning that stated Detected NVIDIA NVIDIA GeForce RTX 4080 GPU, which is not yet supported in this version of the container
ERROR: No supported GPU(s) detected to run this container

Is there any solution to this problem ?

You could try to bump the base image in the docker image to a newer PyTorch version (make sure to keep the PyTorch Version below 2.0 since it is not yet supported in nnDetection).

authors: Yasmin-Kassim mibaumgartner

repo: MIC-DKFZ/nnDetection


text:
[QUESTION] test on two ply but the result is not good

clouds.zip
Thanks for your code and paper. It is very interesting.
I installed teaser++ on windows (with some modifications). I got the two examples (*.cc) running.
I tested on two point cloud with teaser_cpp_fpfh but the result was not good (the point cloud is so simple and symmetric).
I think the performance depends on keypoint detection, descriptor extraction.
teaser_cpp_ply takes a lot of time because it takes all points in the cloud as keypoint. [
](url)
Can you please test your algorithms on these clouds ?
Thanks.

Hi @david-ngo-sixense , you need to first generate correspondences & then feed the correspondences to TEASER++. I recommend you to use the Python interface together with Open3D so that you can test different feature detectors and select the best combination.

Hi @jingnanshi , thanks for your reply.
I installed your teaser++ (c++ version, on a windows machine) and used it sucessfully for a C++ project.
Yes, I want to use the python interface, but I can't install the python wrapper.
`(Pytorch) C:\dev\TEASER-plusplus\build\python>pip install .
Processing c:\dev\teaser-plusplus\build\python
Building wheels for collected packages: teaserpp-python
Building wheel for teaserpp-python (setup.py) ... done
Created wheel for teaserpp-python: filename=teaserpp_python-1.0.0-py3-none-any.whl size=18144 sha256=631c0432c1ba85f575c7cace87144edbc03ab4154435b71693b54234290699cf
Stored in directory: C:\Users\ttngo\AppData\Local\Temp\pip-ephem-wheel-cache-f485dfpb\wheels\d7\cc\2e\d79e3ca0e0949697fc37003fde9b332b17db6e371bdd357de5
Successfully built teaserpp-python
Installing collected packages: teaserpp-python
Successfully installed teaserpp-python-1.0.0
(Pytorch) C:\dev\TEASER-plusplus\build\python>python
Python 3.8.8 (default, Feb 24 2021, 15:54:32) [MSC v.1928 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.

import teaserpp_python
Traceback (most recent call last):
File "", line 1, in
File "C:\dev\TEASER-plusplus\build\python\teaserpp_python_init_.py", line 1, in
from .teaserpp_python import *
ModuleNotFoundError: No module named 'teaserpp_python.teaserpp_python'
`
Do you know why ?

Make sure when you compile the C++ project you turn on BUILD_PYTHON_BINDINGS

Hi, I don't have too much experience with C++. How would I go about turning on BUILD_PYTHON_BINDINGS when compiling the project? I just followed the instructions for installation over at https://teaser.readthedocs.io/en/master/installation.html and it did not mention anything about the flag you mention

repo: MIT-SPARK/TEASER-plusplus


text:
This is a C project not a C++ project

Hello
You wrote a nice library.
But it shows that you are still a C++ beginner.
It is COMPLETELY WRONG to require the user of your library to call 'delete' to detroy a JSONValue. Anybody who forgets this will have a MEMORY LEAK.
In a correclty programmed C++ library there must NEVER be the need to ever use 'delete' for a class. C++ classes have a destructor which should do all the work of freeing memory.
The correct way would be to use a MEMBER function Parse() instead of a static function Parse().
JSONValue myValue;
myValue.Parse(stringData);

Then the destructor of myValue does the clean up of the memory alone.

@Elmue you tone is soooo agresssive, you should at least propose a fix in a pull request ;p

Better now ?

authors: Elmue lilpit

repo: MJPA/SimpleJSON


text:
Update bug reporter url

Summary
Changes the url for the bug-reporter api.
3 commits, one line changed. Some sort of record(?).

Why is this change needed?
Because the bug-reporter server code was moved to the organisation repository, so the server needed to be redeployed under a new domain.

Does it depend on any other changes/PRs?
IMPORTANT PLS READ!
This depends on the mlvet repo being moved to the organisation account. The bug-report feature will not work until that happens, and will instead tell you to "try again later". This is because the server code already points to the to-be location of the mlvet repo, not the current location.
OS

[ ] Linux
[ ] MacOS
[x] Windows

MLVET has been moved, does it work now?

Yep, it works

repo: MLVETDevelopers/mlvet


text:
IndexError in dimensionality reduction

I tried running the dimensionality reduction notebook with the LSI setting, but ran in the following error.

Tokenizing text, this will take a while...
Creating the gensim corpora, this will take a while...
Using gensim's implementation of TF-IDF, this will take a while...
Creating the LSI model, this will take a while...
Reformatting output to a 2D array, this will take a while...
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
 in ()
----> 1 train_x, test_x = gensim_preprocess(train, test, model_type='lsi', num_topics=500, report_progress=True, data_dir=DATA_ROOT)

~\Documents\JADS Working Files\JADS Kaggle\jads_kaggle\toxicity\preprocessing.py in wrap(*args, **kwargs)
     20     """
     21     def wrap(*args, **kwargs):
---> 22         train, test = f(*args, **kwargs)
     23         assert(train.shape[1] == test.shape[1])
     24         return train, test

~\Documents\JADS Working Files\JADS Kaggle\jads_kaggle\toxicity\utils.py in wrap(*args, **kwargs)
     16     def wrap(*args, **kwargs):
     17         start = time.time()
---> 18         ret = f(*args, **kwargs)
     19         stop = time.time()
     20         print('{} function took {:.1f} seconds to complete\n'.format(f.__name__, (stop - start)))

~\Documents\JADS Working Files\JADS Kaggle\jads_kaggle\toxicity\preprocessing.py in gensim_preprocess(train, test, model_type, num_topics, use_own_tfidf, force_compute, report_progress, data_dir, **tfidf_params)
    168     print("Reformatting output to a 2D array, this will take a while...")
    169     values = np.vectorize(lambda x: x[1])
--> 170     return values(np.array(train)), values(np.array(test))
    171
    172

~\Anaconda3\lib\site-packages\numpy\lib\function_base.py in __call__(self, *args, **kwargs)
   2753             vargs.extend([kwargs[_n] for _n in names])
   2754
-> 2755         return self._vectorize_call(func=func, args=vargs)
   2756
   2757     def _get_ufunc_and_otypes(self, func, args):

~\Anaconda3\lib\site-packages\numpy\lib\function_base.py in _vectorize_call(self, func, args)
   2829                       for a in args]
   2830
-> 2831             outputs = ufunc(*inputs)
   2832
   2833             if ufunc.nout == 1:

~\Documents\JADS Working Files\JADS Kaggle\jads_kaggle\toxicity\preprocessing.py in (x)
    167     # Transform into a 2D array format.
    168     print("Reformatting output to a 2D array, this will take a while...")
--> 169     values = np.vectorize(lambda x: x[1])
    170     return values(np.array(train)), values(np.array(test))
    171

IndexError: list index out of range

Oh I think I remember: There is a single corrupted row in test which causes this, I manually deleted it from the CSV and forgot to add it in the code. You can try to:
a) Replace lambda x: x[1] with a named function like:
def safe_get(x):
  try:
    return x[1]
  except IndexError:
    return None

b) Manually delete the bad line from the CSV (quick & dirty)

UPDATE
I tried to fix the issue and apparently it harder than I thought. the lsi module has a lot of trouble handling small documents, and many documents in our corpus contain less than 10 words.
We could exclude them but we are giving up too much information. Since I have very limited time, I propose we stick on the wider representations for now unless someone else can solve the bug.

Probably yes! The sklearn one might work out of the box

Alright, will take a look at it tonight.

UPDATE
It appears that the TF-IDF implementations were the problem. I now switched to sklearn's implementation of both TF-IDF and dimensionality reduction (TruncatedSVD, which is the same as LSA / LSI in this context) and it seems to work. It still uses the NLTK tokenizer. PR coming up, running one more test now.

authors: joepvdbogaert steremma


text:
BookStore: Add redux

In this milestone, I have used the redux toolkit,

[ ] Added actions
[ ] Added reducers
[ ] initialized books with an empty array.

I added the variable selectStatus that will always return the status of the categories as ''under construction.

In the updated code I have included a reducer that always returns a string 'Under construction ' as required.

repo: MPDADDY/bookstore


text:
Website

After running the project for several days, the website opens several consumer group connections to the ehdevices and ehalerts event hubs.  Eventually the consumer group limit of 20 is exceeded, and the website can't get data.  I have to delete the "stale" consumer group connections periodically. Not sure if this is a code issue, or an issue with my deployment.

Fix was pushed to master today.

Had same problem. Fix from dinar seems like it should do the trick. Have deployed myself and will see. Closing issue. Reopen if problem reappears.

Worked for me. Thanks

authors: dinarisio markhenninger spyrossak

repo: MSOpenTech/connectthedots


text:
Does not load

Is there an existing issue for this?

[X] I have searched the existing issues

I'm submitting a ...

[X] bug report
[ ] feature request
[ ] support request --> Contact me over mail for support https://github.com/MShawon

Description
Traceback (most recent call last):
File "C:\users\download\YouTube-Viewer\youtube_viewer.py", line 1007, in
import wmi
File "C:\Users\download\anaconda3\lib\site-packages\wmi.py", line 105, in
from win32com.client import GetObject, Dispatch
File "C:\Users\download\anaconda3\lib\site-packages\win32com_init_.py", line 5, in
import win32api, sys, os
ImportError: DLL load failed while importing win32api: The specified procedure could not be found.
Environment
- OS : windows 11
- Python : 3.9.12
- Script version : 1.8

config.json
{
    "http_api": {
        "enabled": true,
        "host": "0.0.0.0",
        "port": 5000
    },
    "database": true,
    "views": 100000,
    "minimum": 85.0,
    "maximum": 95.0,
    "proxy": {
        "category": "f",
        "proxy_type": false,
        "filename": "GoodProxy.txt",
        "authentication": false,
        "proxy_api": false,
        "refresh": 0.0
    },
    "background": false,
    "bandwidth": true,
    "playback_speed": 1,
    "max_threads": 5,
    "min_threads": 2
}

install python 3.8 to 3.11 not anaconda
or simply download the exe version and use it without installing python

repo: MShawon/YouTube-Viewer


text:
example: exit nicely on end-of-file

Signed-off-by: Vincent Batts vbatts@hashbangbash.com

Thank you :+1:

authors: MStoykov vbatts

repo: MStoykov/go-libarchive


text:
主题透明效果设置

color不支持带有透明通道的颜色
用滑块设置透明效果感觉不错
我也不怎么会css，这里仅提供参考

settings.html中添加滑块

主题背景透明
                 <input type="range" value="1" min="0" max="10" step="1"                     class="q-button q-button--small q-button--secondary pick-opacity" style="width: 460px;" />

主题颜色透明
                 <input type="range" value="1" min="0" max="9" step="1"                     class="q-button q-button--small q-button--secondary pick-opacity-1" style="width: 460px;" />

renderer.js中添加代码（// 打开设置界面时触发）
参考pick-color的代码
// 主题背景透明     const themeOpacity = settings.themeOpacity;     // 给pick-opacity(input)设置默认值     const pickOpacity = view.querySelector(".pick-opacity");     pickOpacity.value = themeOpacity;     // 给pick-opacity(input)添加事件监听     pickOpacity.addEventListener("change", (event) => {         // 修改settings的themeOpacity值         settings.themeOpacity = event.target.value;         // 将修改后的settings保存到settings.json         mspring_theme.setSettings(settings);     });
// 主题颜色透明     const themeOpacity1 = settings.themeOpacity1;     // 给pick-opacity-1(input)设置默认值     const pickOpacity1 = view.querySelector(".pick-opacity-1");     pickOpacity1.value = themeOpacity1;     // 给pick-opacity-1(input)添加事件监听     pickOpacity1.addEventListener("change", (event) => {         // 修改settings的themeOpacity1值         settings.themeOpacity1 = event.target.value;         // 将修改后的settings保存到settings.json         mspring_theme.setSettings(settings);     });

main.js中添加代码（// 更新样式）
--theme-color: color-mix(in oklch, ${themeColor}, transparent ${themeOpacity1}0%);
--theme-opacity: color-mix(in oklch, #FFFFFF, transparent ${themeOpacity}0%);

main.js中添加代码（// 加载插件时触发）
"themeOpacity": "3",             "themeOpacity1": "7",

style.css中修改代码（ /* 浅色模式 */）
background: var(--theme-opacity) !important;
深色模式需要在添加一个滑块

厉害的
不过我感觉主题色加透明度不太好（）
背景色透明度可以，但是得考虑内容的可见度
一会儿看看

话说macOS版有没有可能做一下半透明的效果呢？

最新的代码加了背景颜色的透明

authors: Bill-Haku MUKAPP Uincsrh

repo: MUKAPP/LiteLoaderQQNT-MSpring-Theme