sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: storybook
Issue: [Bug]: Module "node"process" has been externalized - Svelte | Addon-Test
Labels: bug,help wanted,svelte,sev:S3,addon: test

### Describe the bug

When setting up `@storybook/experimental-addon-test` in a Svelte 5 project and running tests, the following warning gets printed to the terminal for each story file:

```
Module "node:process" has been externalized for browser compatibility. Cannot access "node:process.cwd" in client code. See https://vite.dev/guide/troubleshooting.html#module-externalized-for-browser-compatibility for more details.
```

### Reproduction steps

1. Create a Svelte 5 sandbox
2. Run `yarn vitest`
Repository: vscode
Issue: VS Code installation corrupts when update comes during running WSL session
Labels: bug,install-update,WSL,confirmation-pending


Type: <b>Bug</b>

Issue:
When VS Code is running, it is connected to WSL and update comes - installation is being corrupted.
Repro steps:
- Install VS Code using system installer (not tested for user installer)
- Open directory in WSL (tested against WSL2)
- Wait for update to come out (issue appears even with disabled auto-update)
- Try to open another instance of VS Code - it should be broken for both Windows and WSL environments
Workarounds:
- Use system installer to make new installation "on top" of existing one
- Try to catch update without opened WSL environment - when only Windows directories are opened update goes smoothly
- You can use old system installer and then update VS Code from Help menu with only Windows directories opened - it also works

VS Code version: Code 1.94.2 (384ff7382de624fb94dbaf6da11977bba1ecd427, 2024-10-09T16:08:44.566Z)
OS version: Windows_NT x64 10.0.22631
Modes:

<details>
<summary>System Info</summary>

|Item|Value|
|---|---|
|CPUs|13th Gen Intel(R) Core(TM) i9-13980HX (32 x 2419)|
|GPU Status|2d_canvas: enabled<br>canvas_oop_rasterization: enabled_on<br>direct_rendering_display_compositor: disabled_off_ok<br>gpu_compositing: enabled<br>multiple_raster_threads: enabled_on<br>opengl: enabled_on<br>rasterization: enabled<br>raw_draw: disabled_off_ok<br>skia_graphite: disabled_off<br>video_decode: enabled<br>video_encode: enabled<br>vulkan: disabled_off<br>webgl: enabled<br>webgl2: enabled<br>webgpu: enabled<br>webnn: disabled_off|
|Load (avg)|undefined|
|Memory (System)|63.62GB (47.63GB free)|
|Process Argv|--crash-reporter-id 1e948e9a-f2a3-48d2-8f25-b094576126d2|
|Screen Reader|no|
|VM|0%|
</details><details><summary>Extensions (9)</summary>

Extension|Author (truncated)|Version
---|---|---
solargraph|cas|0.24.1
erb|Cra|0.0.1
vscode-html-css|ecm|2.0.10
endwise|kai|1.5.1
vscode-docker|ms-|1.29.3
vscode-kubernetes-tools|ms-|1.3.18
remote-wsl|ms-|0.88.4
vscode-yaml|red|1.15.0
ruby-lsp|Sho|0.8.7


</details><details>
<summary>A/B Experiments</summary>

```
vsliv368:30146709
vspor879:30202332
vspor708:30202333
vspor363:30204092
vscod805cf:30301675
binariesv615:30325510
vsaa593:30376534
py29gd2263:31024239
c4g48928:30535728
azure-dev_surveyone:30548225
962ge761:30959799
pythongtdpath:30769146
pythonnoceb:30805159
asynctok:30898717
pythonmypyd1:30879173
h48ei257:31000450
pythontbext0:30879054
accentitlementsc:30995553
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
dsvsc021:30996838
9c06g630:31013171
dvdeprecation:31068756
dwnewjupytercf:31046870
2f103344:31071589
impr_priority:31102340
nativerepl2:31139839
refactort:31108082
pythonrstrctxt:31112756
wkspc-onlycs-t:31132770
wkspc-ranged-t:31151552
cf971741:31144450
autoexpandse:31146404
iacca2:31156134
notype1:31157159
5fd0e150:31155592
dwcopilot:31162478
iconenabled:31158251

```

</details>

<!-- generated by issue reporter -->
Repository: PowerToys
Issue: Mouse without border deactivates the '|' and the '@'  on my keyboard
Labels: Issue-Bug,Needs-Triage

### Microsoft PowerToys version

0.81.1 (not checked on v0.85.1 yet)

### Installation method

PowerToys auto-update

### Running as admin

No

### Area(s) with issue?

Mouse Without Borders

### Steps to reproduce

I am using a keyboard ' BEFR' 
when I do activate the 'mouse without border' - I loose usage of the keys 
   'AltGr+&' which should issue a '|'  and 
   'Alt Gr+é' which should issue a '@'  

When 'mouse without border is activated
   'AltGr+&'  produces '&' and 
   'Alt Gr+é'  produces '@'    -    in both cases "after a certain time / strikes on the key...

Note that the other Alt Gr keys remain working correctly  : 'Alt Gr+"' = '#', 'Alt Gr+§' = '^', 'Alt Gr+ç' = '{'...

### ✔️ Expected Behavior

I do not see that there is a remapping of the keyboard in the 'Mouse without border toy'  
So, I was expecting my keyboard working normally.. and producing '|' or '@'

### ❌ Actual Behavior

producing respectively '&' or 'é' at the 2nd stroke  (the 1st stroke on 'AltGr'+'&' produces nothing, same for 'é')

### Other Software

all softwares were affected the same
Repository: pytorch
Issue: Cholesky factorization of sparse tensors
Labels: module: sparse,feature,triaged,module: linear algebra

### 🚀 The feature, motivation and pitch

For many applications involving sparse matrices, the sparse Cholesky factorization plays an important role in enabling efficient computations. 

I am working within the field of spatial statistics, and here the Cholesky factorization is actively used for sampling from distributions, computing likelihoods and solving linear systems. As the size of the matrices in my statistical model grows, the more time consuming it becomes it to use the existing dense Cholesky factorization for sparse tensors. Therefore, since an efficient Cholesky factorization of sparse tensors is not yet implemented, it severely limits the models I can use within PyTorch.

I believe the sparse Cholesky factorization and its related operations can be of great relevance for expanding the functionality of the `torch.sparse` package!

### Alternatives

The [theseus](https://github.com/facebookresearch/theseus) project seems to have some support for solving sparse linear systems. SImilarly, [torchsparsegradutils](https://github.com/cai4cai/torchsparsegradutils) contains a wrapper for a Jax sparse solver. However, other computations involving the Cholesky factorization (like computing a log-determinant) does not seem to be supported. 

Ideally, similar functionality as in the `sksparse.cholmod` library ([link](https://scikit-sparse.readthedocs.io/en/latest/cholmod.html)) would be preferable. Here one can compute the Cholesky factorization, and then easily use this to perform relevant operations like solving systems, computing determinants etc.

### Additional context

_No response_

cc @alexsamardzic @nikitaved @pearu @cpuhrsch @amjames @bhosmer @jcaip @jianyuh @mruberry @walterddr @xwang233 @Lezcano
Repository: opencv
Issue: The new dnn engine doesn't support forward to a specified layer
Labels: feature,category: dnn

### Describe the feature and motivation

The old dnn engine has forward(layerName) method, that runs the model graph to the specified layer. The new dnn engine layer doesn't support this feature.
Several tests use this features so they are currently disabled with the new engine:

- Test_TFLite.max_unpooling

Reference: https://github.com/opencv/opencv/pull/26330

### Additional context

_No response_
Repository: electron
Issue: App freezes with custom spell-checker on Electron 31.7.1
Labels: platform/linux,bug :beetle:,has-repro-gist,31-x-y

### Preflight Checklist

- [x] I have read the [Contributing Guidelines](https://github.com/electron/electron/blob/main/CONTRIBUTING.md) for this project.
- [x] I agree to follow the [Code of Conduct](https://github.com/electron/electron/blob/main/CODE_OF_CONDUCT.md) that this project adheres to.
- [x] I have searched the [issue tracker](https://www.github.com/electron/electron/issues) for a bug report that matches the one I want to file, without success.

### Electron Version

31.7.1

### What operating system(s) are you using?

Other Linux

### Operating System Version

Linux speedforce 6.11.4-arch1-1 #1 SMP PREEMPT_DYNAMIC Thu, 17 Oct 2024 20:53:41 +0000 x86_64 GNU/Linux

### What arch are you using?

x64

### Last Known Working Electron version

31.6

### Expected Behavior

The app should not hit 100% CPU usage when using a custom spell checker and the UI should not freeze.

### Actual Behavior

When using a custom spell checker, the app hits 100% CPU usage and the UI freezes when typing a lot of text or pasting in text.

Everything was working on older versions of electron.

### Testcase Gist URL

_No response_

### Additional Information

Use https://github.com/MicroPad/MicroPad-Electron with v31.7.1 in the `package.json` and the problem occurs. I'll see if I can make a better repro when I have time.

After updating electron:
1. `yarn start`
2. Exit the whats new modal if it pops up
3. hit the 'N' key
4. Hit the 'N' key again
5. Start typing

I haven't tried v32 or v33 because MicroPad Electron does not work at all with them.
Repository: neovim
Issue: `<NL>` and `<C-J>`  are sometimes equal and sometimes not equal
Labels: bug,documentation,api,input,has:workaround,mappings

### Problem

`<NL>` and `<C-J>` and behaves like the same key in some cases and like different keys in the other cases.


### Steps to reproduce

* Run `nvim --clean` (tested on current HEAD and 0.10.2), and then run the following command.
  ```
  nnoremap <NL> <Cmd>echom 'NL'<CR>
  ```
  If you type `<C-J>`, `NL` is printed. I believe this is expected behavior in most terminals that don't distinguish `<C-J>` and `<NL>`.
  In this sense, `<C-J>` and `<NL>` are equal.

* `keytrans()` agrees on that.
  The following command prints `<NL> <NL>`
  ```
  echo keytrans(nvim_replace_termcodes('<C-J>', v:true, v:true, v:true)) keytrans(nvim_replace_termcodes('<NL>', v:true, v:true, v:true))
  ```

* But the problem is that you can map both `<C-J>` and `<NL>` somehow `<C-J>` is prioritized.
  Run the following commands in fresh nvim instance in that order, and type `<C-J>`.
  ```
  nnoremap <C-J> <Cmd>echom 'C-J'<CR>
  nnoremap <NL> <Cmd>echom 'NL'<CR>
  ```
  It prints `C-J`. This means that `<C-J>` and `<NL>` are actually different.
  (NOTE: In vim 9.1.771, this prints `NL`.)


Related: https://github.com/hrsh7th/nvim-cmp/pull/1935#issuecomment-2426250159



### Expected behavior

`<NL>` and `<C-J>` should be either different xor the same; not both.


### Nvim version (nvim -v)

current master and 0.10.2

### Vim (not Nvim) behaves the same?

no

### Operating system/version

ubuntu 22.04

### Terminal name/version

GNOME Terminal 3.44.0

### $TERM environment variable

tmux-256color

### Installation

manually built / appimage
Repository: next.js
Issue: setAssetPrefix not work in custom server
Labels: bug

### Link to the code that reproduces this issue

https://github.com/yutingzhao1991/nextSetAssetPrefixBug

### To Reproduce

1. Clone https://github.com/yutingzhao1991/nextSetAssetPrefixBug
2. npm install
3. node index.js

### Current vs. Expected behavior

https://github.com/yutingzhao1991/nextSetAssetPrefixBug/blob/main/index.js#L14 This line of code doesn't work, I hope to set the address of static resources through `setAssetPrefix`, different server environments need to request different addresses.

### Provide environment information

```bash
Operating System:
  Platform: darwin
  Arch: arm64
  Version: Darwin Kernel Version 22.3.0: Mon Jan 30 20:39:46 PST 2023; root:xnu-8792.81.3~2/RELEASE_ARM64_T6020
  Available memory (MB): 16384
  Available CPU cores: 10
Binaries:
  Node: 20.12.2
  npm: 10.5.0
  Yarn: N/A
  pnpm: 8.14.0
Relevant Packages:
  next: 14.2.15 // Latest available version is detected (14.2.15).
  eslint-config-next: N/A
  react: 18.3.1
  react-dom: 18.3.1
  typescript: N/A
Next.js Config:
  output: N/A
```


### Which area(s) are affected? (Select all that apply)

create-next-app

### Which stage(s) are affected? (Select all that apply)

Other (Deployed)

### Additional context

Similar to issue https://github.com/vercel/next.js/issues/59940, but it seems like this problem has been fixed by PR https://github.com/vercel/next.js/pull/61676. However, I tried the latest version of next and the issue still persists.
Repository: tensorflow
Issue: Overflow in `tf.raw_ops.Fill`
Labels: stat:awaiting tensorflower,type:bug,comp:ops,2.17

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

tf2.17.0 tf2.16.1

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Overflow in `tf.raw_ops.Fill` when there are too large values in `dims`.

### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/drive/1GDBN4lheNUIW704hsXVt3lW55UJue97S?usp=sharing
```


### Relevant log output

```shell
Kill
```
Repository: excalidraw
Issue: Webview embedding error
Labels: More information needed / cannot reproduce

In the H5 project, the drawing board plugin was used, and then webview embedding was used in the WeChat mini program to generate errors when drawing rectangles, circles, diamonds, and inserting images

TypeError: Failed to execute 'roundRect' on 'CanvasRenderingContext2D': The provided value cannot be converted to a sequence.
![Image](https://github.com/user-attachments/assets/2394e58d-91f5-4977-891b-2a2a5fe1790c)
Repository: opencv
Issue: opencv keep failing in window
Labels: category: build/install,incomplete,platform: win32

### System Information

opencv v 4.10.0
window 11
visual studio 2022
python 3.11

### Detailed description

keep crashing for unknown reason all previous or old version opencv work fine 4.10.0 version has this issue i have check 4.90 work fine

![image](https://github.com/user-attachments/assets/5e70c2ed-6d42-4e6c-8cbc-74ed5cdab0f9)


### Steps to reproduce

```
#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
using namespace cv;

int main()
{
    cv::Mat img = cv::imread("O:/operadown/oldceleberity/2081.jpg");
    return 0;
}
```

### 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: tensorflow
Issue: Overflow and Check fail in `tf.raw_ops.Conv2DBackpropInput`
Labels: stat:awaiting tensorflower,type:bug,comp:ops,2.17

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

tf2.17.0 tf2.16.1

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Overflow : `input_sizes` is a one-dimensional tensor and contains maximum values
Check fail：`input_sizes`'s shape is [2] and The dimension of `filter` is less than 2

### Standalone code to reproduce the issue

```shell
Overflow:

import tensorflow as tf

input_sizes = tf.constant([1, 5, 5, 999999999999], shape=[4], dtype=tf.int32)
filter_tensor = tf.constant(3, shape=[3, 3, 3, 2], dtype=tf.float32)
out_backprop = tf.constant(5, shape=[1, 5, 5, 2], dtype=tf.float32)

strides = [1, 1, 1, 1]
padding = "SAME"

tf.raw_ops.Conv2DBackpropInput(
    input_sizes=input_sizes,
    filter=filter_tensor,
    out_backprop=out_backprop,
    strides=strides,
    padding=padding
)

Check fail:
```python
import tensorflow as tf

input_sizes = tf.constant(1, shape=[2], dtype=tf.int32)
filter_tensor = tf.constant(2, shape=[1], dtype=tf.float32)
out_backprop = tf.constant(5, shape=[1, 5, 5, 2], dtype=tf.float32)

strides = [1, 1, 1, 1]
padding = "SAME"

tf.raw_ops.Conv2DBackpropInput(
    input_sizes=input_sizes,
    filter=filter_tensor,
    out_backprop=out_backprop,
    strides=strides,
    padding=padding
)
```
```


### Relevant log output

```shell
Overflow:

2024-10-21 11:40:49.417611: F tensorflow/core/kernels/mkl/mkl_conv_grad_input_ops.cc:578] Non-OK-status: tensor::MakeShape(input_tensor, &input_tf_shape)
Status: INVALID_ARGUMENT: Dimension -727379969 must be >= 0
Aborted (core dumped)
```

Check fail:
```
2024-10-21 11:16:29.937265: F tensorflow/core/framework/tensor_shape.cc:357] Check failed: d < dims() (2 vs. 1)
Aborted (core dumped)
```
```
Repository: pytorch
Issue: Tried to instantiate dummy base class 
Labels: needs reproduction,triaged,module: testing

### 🐛 Describe the bug

/Users/cizon/miniconda3/envs/s2s/lib/python3.10/site-packages/torch/_utils.py", line 912, in err_fn
    raise RuntimeError(f"Tried to instantiate dummy base class {class_name}")

### Error logs

/Users/cizon/miniconda3/envs/s2s/lib/python3.10/site-packages/torch/_utils.py", line 912, in err_fn
    raise RuntimeError(f"Tried to instantiate dummy base class {class_name}")


### Minified repro

_No response_

### Versions

2.4.0

cc @ezyang @chauhang @penguinwu
Repository: tensorflow
Issue: No kernels registered for op `Conv2DBackpropInputV2`
Labels: type:docs-bug,stat:awaiting tensorflower,type:bug,comp:ops,TF 2.16

### Issue type

Documentation Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

binary

### TensorFlow version

tf 2.16.1

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

The existence of operator `Conv2DBackpropInputV2` is described in the official website document.https://www.tensorflow.org/api_docs/python/tf/raw_ops/Conv2DBackpropInputV2.
However, during my actual execution, the following error message appears:

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

input_sizes = tf.constant(1, shape=[4], dtype=tf.int32)
filter_tensor = tf.constant(2, shape=[4], dtype=tf.float32)
out_backprop = tf.constant(5, shape=[1, 5, 5, 2], dtype=tf.float32)

strides = [1, 1, 1, 1]
padding = "SAME"

tf.raw_ops.Conv2DBackpropInputV2(
    input=input_sizes,
    filter=filter_tensor,
    out_backprop=out_backprop,
    strides=strides,
    padding=padding
)
```


### Relevant log output

```shell
2024-10-21 12:30:18.492624: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Traceback (most recent call last):
  File "/mnt/tests/Conv2DBackpropInput.py", line 10, in <module>
    tf.raw_ops.Conv2DBackpropInputV2(
  File "/mnt/origin/venv/tensorflow-nightly/lib/python3.11/site-packages/tensorflow/python/util/tf_export.py", line 377, in wrapper
    return f(**kwargs)
           ^^^^^^^^^^^
  File "/mnt/origin/venv/tensorflow-nightly/lib/python3.11/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 2030, in conv2d_backprop_input_v2
    _ops.raise_from_not_ok_status(e, name)
  File "/mnt/origin/venv/tensorflow-nightly/lib/python3.11/site-packages/tensorflow/python/framework/ops.py", line 5983, in raise_from_not_ok_status
    raise core._status_to_exception(e) from None  # pylint: disable=protected-access
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tensorflow.python.framework.errors_impl.NotFoundError: Could not find device for node: {{node Conv2DBackpropInputV2}} = Conv2DBackpropInputV2[T=DT_INT32, data_format="NHWC", dilations=[1, 1, 1, 1], explicit_paddings=[], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true]
All kernels registered for op Conv2DBackpropInputV2:
  <no registered kernels>
 [Op:Conv2DBackpropInputV2] name:
```
Repository: godot
Issue: Reflection probes greenish reflected light
Labels: bug,platform:windows,topic:rendering,needs testing,topic:3d

### Tested versions

Reproducible in 4.3 stable

### System information

Windows 10, Godot 4.3, gl compatibility mode with opengl 3

### Issue description

On linux (Ubuntu 24.04.1), in compatibility mode, reflection probes work correctly but on windows 10 using reflection probes in compatibility mode, apply to objects into the probe a green light. If the rendering driver is set to be opengl ES, the bug does not appear

![Screenshot (28)](https://github.com/user-attachments/assets/8246a4a1-1a9f-4a2b-b99d-d1052066edae)
Screenshot taken from windows 10

### Steps to reproduce

Create a 3d scene, add a reflection probe and a meshinstance 3d with a sphere or any other mesh selected and you will see a green light on the mesh.

### Minimal reproduction project (MRP)

N/A
Repository: flutter
Issue: [video_player] Expand controls cross-platform for smoother video scrubbing
Labels: platform-android,p: video_player,package,c: proposal,P3,team-android,triaged-android

### Use case

Package: video_player

Scrubbing a video slider that controls the positions of the video_player (by calling `seekTo`) works fine for iOS, but very sluggish for Android. It is so slow that at some point it looks like ExoPlayer is stacking the seekTo calls which never actually finishes until the user stop dragging the slider.

It turns out that Android underlying implementation uses ExoPlayer, which contains a property called "seekParameters" that defines how the seekTo should behave. The configuration is a tradeoff between speed and precision of the seekTo. The default configuration is EXACT (which means full precision but slowest possible).


### Proposal

I propose to expose this seekParameters so it is possible to pick a faster strategy that makes the video scrubbing on Android acceptable.

https://developer.android.com/reference/androidx/media3/exoplayer/SeekParameters
https://developer.android.com/reference/androidx/media3/exoplayer/ExoPlayer#setSeekParameters(androidx.media3.exoplayer.SeekParameters)
https://developer.android.com/reference/androidx/media3/exoplayer/ExoPlayer#getSeekParameters()