sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: ant-design
Issue: sticky 和 scroll 搭配使用会破坏原本的列宽
Labels: Inactive,unconfirmed

### Reproduction link

[https://stackblitz.com/edit/react-cqjukl?file=demo.tsx ](https://stackblitz.com/edit/react-cqjukl?file=demo.tsx )

### Steps to reproduce

4版本 https://stackblitz.com/edit/react-cqjukl?file=demo.tsx
5版本 https://stackblitz.com/edit/react-varhnk?file=demo.tsx

### What is expected?

sticky 与 scroll 正常使用

### What is actually happening?

本身scroll，无sticky时，表头也会撑开列。当设置了sticky后，表头不会再撑开列

| Environment | Info |
| --- | --- |
| antd | undefined |
| React | 任意 |
| System | macos |
| Browser | chrome@latest |

<!-- generated by ant-design-issue-helper. DO NOT REMOVE -->
Repository: vscode
Issue: RunTask command lists duplicate tasks when a filter is applied
Labels: bug,tasks

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- VS Code Version: 1.77.3
- OS Version: macOS Ventura 13.2.1

Steps to Reproduce:

- `git clone https://github.com/microsoft/vscode`
- `code --disable-extensions vscode`
- Open keybindings.json and add the following keybinding
``` 
{
  "key": "shift+ctrl+i",
  "command": "workbench.action.tasks.runTask",
  "args": {
    "type": "npm"
  }
}
```
- Press `shift+ctrl+I`
- Press cog to edit task in `tasks.json`
- Change script name to `7z2` and save
-  Press `shift+ctrl+I`

There are now two entries in the task list and both of these run the version of the task from tasks.json
Repository: PowerToys
Issue: focus tool 
Labels: Needs-Triage

### Description of the new feature / enhancement

in this feature there will be something called as focus mode where a timer Is set and only set of feature can only be used in this focus mode and every thing else is disabled ,features

### Scenario when this would be used?

this could e used for many things, for the student who gets distracted a lot may be people who are working who doesn't like any distraction and many more a 

### Supporting information

windows 11 already have focus mode but it's not possible to restict the access of apps and all so that would be a very helpful add
Repository: pytorch
Issue: More Nested Tensor Functionality (layer_norm, cross_entropy / log_softmax&nll_loss)
Labels: triaged,module: nestedtensor,topic: new features

### 🚀 The feature, motivation and pitch

I am working on Graphs. Right now I have a model running that takes a subgraph and does some predictions.
To improve throughput I want to batch multiple subgraphs of different sizes together.
Padding them to the same size does not work in my case as I use an aggregation operation where I don't want to aggregate the padded neighbours but masking some (the padded) neighbours is not possible.

I tried modifiying my model to support nested tensors as input which somewhat worked, but I had to cut out some unsupported operations, specifically layer_norm.
Also currently there are no supported loss functions, so a cross_entropy or nll_loss (and log_softmax) that supports nested tensors would be a big usability upgrade.

Also some error messages related to nested tensors point to [https://github.com/pytorch/nestedtensor](https://github.com/pytorch/nestedtensor) which I suspect is not correct anymore since nested tensors were moved to the core.

### Alternatives

I tried implementing layer_norm myself using the currently supported nested ops, but was not sucessfull.
The issue is the "a/sqrt(b)" calculation, which I did not get to work without a .pow() or element wise division of two nested tensors.

For the loss function I can work around it by unbinding and stacking the output nested tensors, but this is very ugly.

### Additional context

_No response_

cc @cpuhrsch @jbschlosser @bhosmer @drisspg
Repository: axios
Issue: ECONNRESET is being reproduced while using version 1.3.5 with nest.js
Labels: priority::medium

### Describe the bug

/usr/src/app/node_modules/axios/dist/node/axios.cjs in Function.AxiosError.from at line 825:14
System

  utils.toFlatObject(error, axiosError, function filter(obj) {
    return obj !== Error.prototype;
  }, prop => {
    return prop !== 'isAxiosError';
  });
  AxiosError.call(axiosError, error.message, code, config, request, response);
  axiosError.cause = error;
  axiosError.name = error.name;
  customProps && Object.assign(axiosError, customProps);
/usr/src/app/node_modules/axios/dist/node/axios.cjs in RedirectableRequest.handleRequestError at line 2965:25
System

events.js in RedirectableRequest.emit at line 400:28
System
domain.js in RedirectableRequest.emit at line 475:12
System
/usr/src/app/node_modules/follow-redirects/index.js in ClientRequest.eventHandlers.<computed> at line 14:24
System

events.js in ClientRequest.emit at line 400:28
System
domain.js in ClientRequest.emit at line 475:12
System
/usr/src/app/node_modules/dd-trace/packages/datadog-instrumentations/src/http/client.js in ClientRequest.req.emit at line 95:23
System

_http_client.js in TLSSocket.socketErrorListener at line 475:9
System
events.js in TLSSocket.emit at line 400:28
System
Error
read ECONNRESET

internal/stream_base_commons.js in TLSWrap.onStreamRead at line 209:20
System
internal/async_hooks.js in TLSWrap.callbackTrampoline at line 130:17

### To Reproduce

_No response_

### Code snippet

_No response_

### Expected behavior

error is not thrown, redirect works 

### Axios Version

1.3.5

### Adapter Version

_No response_

### Browser

Chrome

### Browser Version

_No response_

### Node.js Version

14 lts

### OS

_No response_

### Additional Library Versions

```bash
"@google-cloud/pubsub": "^3.1.0",
    "@nestjs/common": "^8.3.1",
    "@nestjs/core": "^8.3.1",
    "@nestjs/platform-express": "^8.3.1",
    "@nestjs/sequelize": "^9.0.0",
    "@nestjs/swagger": "^5.2.0",
    "@types/jwt-decode": "^3.1.0",
    "axios": "^0.26.0",
    "body-parser": "^1.19.2",
    "class-sanitizer": "^1.0.1",
    "class-transformer": "^0.5.1",
    "class-validator": "^0.13.2",
    "cors": "^2.8.5",
    "dotenv": "^16.0.0",
    "express": "^4.17.2",
    "form-data": "^4.0.0",
    "json-stable-stringify": "^1.0.1",
    "jsonwebtoken": "^8.5.1",
    "jwt-decode": "^3.1.2",
    "lodash": "^4.17.21",
    "mysql2": "^2.3.3",
    "om-compliance-common": "github:KWRI/om-compliance-common#v1.13.3",
    "pdf-lib": "^1.17.1",
    "pluralize": "^8.0.0",
    "redis": "^3.1.1",
    "reflect-metadata": "^0.1.13",
    "rimraf": "^3.0.2",
    "rxjs": "^7.5.2",
    "sequelize": "^6.21.4",
    "sequelize-cli": "^6.4.1",
    "sequelize-typescript": "^2.1.3",
    "slugify": "^1.6.5",
    "stream-buffers": "^3.0.2",
    "typescript": "^4.5.5",
    "uuid": "^8.3.2"
```


### Additional context/Screenshots

_No response_
Repository: pytorch
Issue: No documentation to show how to implement aten::view for custom backend
Labels: module: cpp-extensions,module: docs,triaged

### 📚 The doc issue

The original code is:

```py
  x = torch.empty([1024], device='privateuseone:0')
  y = x.view([2, -1]) # raise error by missing aten::view
```
Then I get following errors:
```txt
NotImplementedError: Could not run 'aten::view' with arguments from the 'PrivateUse1' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::view' is only available for ..
```

According to some interface declaration in Pytorch source code, the extension looks like this:
```cpp
static at::Tensor __view(c10::DispatchKeySet ks, const at::Tensor & self, c10::SymIntArrayRef size) {
  return at::_ops::view::redispatch(ks, self, size);
}
TORCH_LIBRARY_IMPL(aten, Antares, m) {
  m.impl("view", __view);
}
```

However, it results in infinite recursive call of this function and ends with stack overflow.
I don't think `x.view([2, -1])` really requires user to define its implementation. If this definition is a must, what documentation can I refer to get it passed correctly?

### Suggest a potential alternative/fix

An document example of how to implement custom `aten::view`, or any simpler solutions to solve the reshape problem above.

cc @malfet @zou3519 @svekars @carljparker
Repository: angular
Issue: Binding syntax in text literal is not an error or warning 
Labels: help wanted,area: compiler,compiler: extended diagnostics

### Which @angular/* package(s) are the source of the bug?

Don't known / other

### Is this a regression?

Yes

### Description

I have this beautiful highlighting issue in a component's html file, in which if I write an input between the element tags and not inside the angle brackets, it highlights as if it were a real input. This gave me a big headache trying to figure out why I wasn't getting any data in the receiving component. 
 
![image](https://user-images.githubusercontent.com/73020686/232042871-943364ac-3980-48b2-8d26-5f3cd94f65af.png)

I'm not sure which package this has to do with, but here are my dev dependencies 

```json
{
        "@angular-devkit/build-angular": "~15.2.0",
        "@angular-devkit/core": "~15.2.0",
        "@angular-devkit/schematics": "~15.2.0",
        "@angular-eslint/eslint-plugin": "~15.0.0",
        "@angular-eslint/eslint-plugin-template": "~15.0.0",
        "@angular-eslint/template-parser": "~15.0.0",
        "@angular/cli": "~15.2.0",
        "@angular/compiler-cli": "~15.2.0",
        "@angular/language-service": "~15.2.0",
        "@angular/localize": "^15.2.2",
}
```


### Please provide a link to a minimal reproduction of the bug

_No response_

### Please provide the exception or error you saw

_No response_

### Please provide the environment you discovered this bug in (run `ng version`)

```true
Angular CLI: 15.2.2
Node: 18.15.0
NPM: 9.5.0
OS: Ubuntu 22.04.2 LTS
VsCode
```


### Anything else?

_No response_
Repository: opencv
Issue: calibrateCamera to undistort images gives wrong results when the picture is too large
Labels: bug,category: calib3d,needs investigation

### System Information

OpenCV python version: 4.6.0
Operating System / Platform: Ubuntu 22.04.2 LTS
Python version: 3.10.6



### Detailed description

I followed the procedure as described here:
https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html

It worked perfectly with example patterns.
Using my own camera, I got strange results (very distorted images).
I found out, that when I crop my original image, the results improved a lot.

I suppose the implementation of the underlying algorithm is not robust against high pixel counts or large image files. 

Either fix the issue or document thoroughly the maximum image size.

### Steps to reproduce

Follow the code here:
https://docs.opencv.org/4.x/dc/dbb/tutorial_py_calibration.html
Use a very large grid or checker board.
In my case: 1384 x 1032 pixel

### Issue submission checklist

- [X] I report the issue, it's not a question
- [X] I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
- [X] I updated to the latest OpenCV version and the issue is still there
- [X] There is reproducer code and related data files (videos, images, onnx, etc)
Repository: youtube-dl
Issue: version update
Labels: request

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## Checklist

<!--
Carefully read and work through this check list in order to prevent the most common mistakes and misuse of youtube-dl:
- First of, make sure you are using the latest version of youtube-dl. Run `youtube-dl --version` and ensure your version is 2021.12.17. If it's not, see https://yt-dl.org/update on how to update. Issues with outdated version will be REJECTED.
- Search the bugtracker for similar feature requests: http://yt-dl.org/search-issues. DO NOT post duplicates.
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- [x] I'm reporting a feature request
- [x] I've verified that I'm running youtube-dl version **2021.12.17**
- [x] I've searched the bugtracker for similar feature requests including closed ones


## Description

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Provide an explanation of your issue in an arbitrary form. Please make sure the description is worded well enough to be understood, see https://github.com/ytdl-org/youtube-dl#is-the-description-of-the-issue-itself-sufficient. Provide any additional information, suggested solution and as much context and examples as possible.
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version 2021.12.17 looks too old. Please use versioningit to make it more relevant reflecting resent updates
Repository: kubernetes
Issue: Add unit test coverage for sparse converted objects logic
Labels: kind/cleanup,sig/api-machinery,help wanted,priority/important-longterm,triage/accepted

The webhook converter has logic that takes a potential list of objects (some of which might already be at the desired API version & others that may require conversion), converts the ones that require conversion, and then emits a list that combines them all together in the right order. This code does not have any unit tests, and would definitely benefit from the addition.

https://github.com/kubernetes/kubernetes/blob/27475f6cf45d0d0d7ed6fb41c360e6465513bc24/staging/src/k8s.io/apiextensions-apiserver/pkg/apiserver/conversion/webhook_converter.go#L291-L329

/priority important-longterm
/help
/sig api-machinery
/kind cleanup
Repository: kubernetes
Issue: Server side apply sometimes invokes CR object conversion with an object that has no metadata
Labels: kind/bug,sig/api-machinery,triage/accepted

### What happened?

Sometimes, server side apply sends a metadata-less CR to the converter, which breaks because the webhook converter expects all objects to have metadata:

https://github.com/kubernetes/kubernetes/blob/a71b7570dd85be41a2668f7a9d4ae8ad3d9148ea/staging/src/k8s.io/apiextensions-apiserver/pkg/apiserver/conversion/webhook_converter.go#L358

which calls

https://github.com/kubernetes/kubernetes/blob/a71b7570dd85be41a2668f7a9d4ae8ad3d9148ea/staging/src/k8s.io/apiextensions-apiserver/pkg/apiserver/conversion/webhook_converter.go#L383-L386

This results in an error that looks similar to the following:

```
failed to prune fields: failed add back owned items: failed to convert pruned object at version <foo.com>/v1alpha1: conversion webhook for <foo.com>/v1alpha2, Kind=<resource>  returned invalid metadata: invalid metadata of type <nil> in input object
```

### What did you expect to happen?

No error

### How can we reproduce it (as minimally and precisely as possible)?

https://github.com/LittleWat/conversion-webhook-test-with-flux

### Anything else we need to know?

_No response_

### Kubernetes version

<details>

```console
$ kubectl version
# paste output here
```

</details>


### Cloud provider

<details>

</details>


### OS version

<details>

```console
# On Linux:
$ cat /etc/os-release
# paste output here
$ uname -a
# paste output here

# On Windows:
C:\> wmic os get Caption, Version, BuildNumber, OSArchitecture
# paste output here
```

</details>


### Install tools

<details>

</details>


### Container runtime (CRI) and version (if applicable)

<details>

</details>


### Related plugins (CNI, CSI, ...) and versions (if applicable)

<details>

</details>
Repository: kubernetes
Issue: Webhook converter fails if object being converted is missing metadata
Labels: kind/bug,priority/important-soon,sig/api-machinery,triage/accepted

### What happened?

Because of #117356, the webhook converter may receive an object to convert that has no metadata. In that scenario, it returns an error, because it expects the input object to have metadata.

### What did you expect to happen?

No error

### How can we reproduce it (as minimally and precisely as possible)?

https://github.com/LittleWat/conversion-webhook-test-with-flux

### Anything else we need to know?

Ideally the converter should always receive an object with metadata. Until then, it should match its output expectations to the input object; i.e., if the input does not have metadata, it should not require that the output does have it.

### Kubernetes version

<details>

```console
$ kubectl version
# paste output here
```

</details>


### Cloud provider

<details>

</details>


### OS version

<details>

```console
# On Linux:
$ cat /etc/os-release
# paste output here
$ uname -a
# paste output here

# On Windows:
C:\> wmic os get Caption, Version, BuildNumber, OSArchitecture
# paste output here
```

</details>


### Install tools

<details>

</details>


### Container runtime (CRI) and version (if applicable)

<details>

</details>


### Related plugins (CNI, CSI, ...) and versions (if applicable)

<details>

</details>
Repository: storybook
Issue: [Bug]: Storybook 7 + @storybook/react-vite  Not Working on Firefox (Only on GitHub Pages)
Labels: bug,react,builder-vite

### Describe the bug

We've recently upgraded the Storybook version for [React DaisyUI](https://react.daisyui.com/) ([source code](https://github.com/daisyui/react-daisyui)) to 7.0.2. Everything worked locally and in our Netlify preview builds, but when deployed to GitHub Pages the Storybook breaks with the error `identifier starts immediately after numeric literal`:

<img width="542" alt="Screen Shot 2023-04-14 at 9 38 56 AM" src="https://user-images.githubusercontent.com/64439681/232059299-e4e73e09-b6d7-4104-b908-54b9203f8917.png">

After adding a `.nojekyll` file to the `docs` folder where the pages are built from (after finding a similar issue https://github.com/storybookjs/storybook/issues/20564) and clearing my browser cache, the issue appeared to be resolved on Chrome. However, Firefox is still affected.

### To Reproduce

Cannot easily reproduce since it's specific to GitHub Pages on Firefox.

### System

```shell
Environment Info:

  System:
    OS: macOS 12.3
    CPU: (10) arm64 Apple M1 Pro
  Binaries:
    Node: 16.15.1 - /usr/local/bin/node
    Yarn: 1.22.19 - /usr/local/bin/yarn
    npm: 9.6.4 - ~/Documents/React Projects/react-daisyui/node_modules/.bin/npm
  Browsers:
    Chrome: 112.0.5615.49
    Firefox: 111.0.1
    Safari: 15.4
  npmPackages:
    @storybook/addon-essentials: ^7.0.4 => 7.0.4 
    @storybook/addon-links: ^7.0.4 => 7.0.4 
    @storybook/addon-styling: ^0.3.2 => 0.3.2 
    @storybook/react: ^7.0.4 => 7.0.4 
    @storybook/react-vite: ^7.0.4 => 7.0.4
```


### Additional context

_No response_
Repository: godot
Issue: Copying root with unsaved rename in tree fails with `Node not found`
Labels: bug,topic:editor

### Godot version

4.0.stable

### System information

MacOS 13.1 M1 Pro

### Issue description

When renaming a node and then copying the root/whole tree it would fail and raise an `Node not found` on the node renamed

### Steps to reproduce

1. create a scene with two nodes
2. rename the second node
3. try to copy the root node
4. see the error

### Minimal reproduction project

N/A
Repository: youtube-dl
Issue: youtube-dl from nightly build is suspicious?
Labels: question

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## Checklist



- [x] I'm asking a question
- [x] I've looked through the README and FAQ for similar questions
- [x] I've searched the bugtracker for similar questions including closed ones


## Question
Working on Windows 11.
youtube-dl.exe gives "ERROR: Unable to extract uploader id;"
I checked here and found the problem
I went to https://github.com/ytdl-patched/youtube-dl/releases and downloaded the latest build (youtube-dl 2023.04.14.19419 Latest).
When I tried running youtube-dl.exe I first got a warning from Windows that the file was unsafe and next a warning from F-Secure.
Inspecting the information brought me to https://www.f-secure.com/v-descs/w32_malware.shtml.

The version from http://ytdl-org.github.io/youtube-dl/download.html (2021.12.17) didn't trigger anything.

What can be the reason for this trigger and block of youtube-dl.exe?