sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: pytorch
Issue: DISABLED test_sync (__main__.TestMPS)
Labels: triaged,module: flaky-tests,module: macos,skipped,module: mps

Platforms: mac, macos

This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_sync&suite=TestMPS&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/33237372365).

Over the past 3 hours, it has been determined flaky in 4 workflow(s) with 10 failures and 4 successes.

**Debugging instructions (after clicking on the recent samples link):**
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:
1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for `test_sync`
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.


Test file path: `test_mps.py`

cc @clee2000 @malfet @albanD @kulinseth @DenisVieriu97 @jhavukainen
Repository: tensorflow
Issue: Aborted (core dumped) in `tf.raw_ops.MatrixSolve`
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

tf 2.17

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 22.04.3 LTS (x86_64)

### Mobile device

_No response_

### Python version

3.9.13

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

When the shape of the matrix argument is empty and the gpu is available, tf.raw_ops.MatrixSolve triggers a crash.
It can be reproduced on tf-nightly when the gpu is available.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
tf.raw_ops.MatrixSolve(matrix=tf.random.uniform([], dtype=tf.dtypes.double, maxval=1000000000), rhs=tf.random.uniform([1, 2], dtype=tf.dtypes.double, maxval=1000000000), adjoint=True)
```


### Relevant log output

```shell
2024-11-20 14:51:08.714846: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-11-20 14:51:08.775383: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-11-20 14:51:08.852267: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-11-20 14:51:08.876168: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-11-20 14:51:08.931206: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX512_FP16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-11-20 14:51:16.385650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2021] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 535 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4090, pci bus id: 0000:1f:00.0, compute capability: 8.9
2024-11-20 14:51:16.387914: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2021] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 71 MB memory:  -> device: 1, name: NVIDIA GeForce RTX 4090, pci bus id: 0000:d4:00.0, compute capability: 8.9
2024-11-20 14:51:16.542383: F tensorflow/core/framework/tensor_shape.cc:356] Check failed: d >= 0 (0 vs. -1)
Aborted (core dumped)
```
Repository: godot
Issue: handle on exported range property detaches from slider when scrolling while control is hovered
Labels: bug,topic:gui

### Tested versions

Found in v4.3.stable.official [77dcf97d8]




### System information

Godot v4.3.stable - Ubuntu 22.04.5 LTS 22.04 - X11 - Vulkan (Forward+) - dedicated NVIDIA GeForce GTX 970 (nvidia; 550.120) - Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz (20 Threads)

### Issue description

This is a visual bug. the slider handles detach from the sliders when hovered while scrolling with the scrollbar

https://github.com/user-attachments/assets/b7efe512-a994-4c14-8b30-0212a9dd4737

### Steps to reproduce

1. go to the inspector on any node or resource with an exported float range property
2. make scrollbar appear and hold click on the scrollbar
3. move mouse over the range slider while scrolling up/down
4. notice the handle detaches

### Minimal reproduction project (MRP)

Empty project
Repository: ollama
Issue: OLLAMA_MAX_QUEUE does not limit requests to the same model
Labels: feature request

### What is the issue?

It seems that OLLAMA_MAX_QUEUE is not taking effect. My environment is Windows 11, and I have set OLLAMA_NUM_PARALLEL=1,
set OLLAMA_MAX_QUEUE=1, but excessive requests are still queuing up instead of returning an error.


### OS

Windows

### GPU

Nvidia

### CPU

Intel

### Ollama version

0.3.14
Repository: PowerToys
Issue: Copy from PowerToys Run error
Labels: Issue-Bug,Needs-Triage

### Microsoft PowerToys version

0.86.0

### Installation method

WinGet

### Running as admin

No

### Area(s) with issue?

PowerToys Run

### Steps to reproduce

Open PowerToys Run, insert some equation. Click on the "Copy this number to clipboard". Error pops up with following:
![Image](https://github.com/user-attachments/assets/e8d5f9ef-7845-4dc9-843b-fd6920f3af9c)

More info in the following bug report summary:
[PowerToysReport_2024-11-20-07-38-11.zip](https://github.com/user-attachments/files/17826692/PowerToysReport_2024-11-20-07-38-11.zip)


### ✔️ Expected Behavior

Copy value to clipboard

### ❌ Actual Behavior

_No response_

### Other Software

_No response_
Repository: pytorch
Issue: How to fuse batchnorm to conv2d in the graph exported by torch.export
Labels: oncall: pt2,oncall: export

I used the torch.export to export my CNN model in eval mode,but the op batchnorm still exists. how to eliminate it. Is there some options in torch.export.export function or I should write a fusion pass by myself. 
Thanks.
code:
```
import torch
import torch.nn as nn
class CNN(nn.Module):
    def __init__(self):
        super().__init__()
        self.conv1 = nn.Conv2d(in_channels=16, out_channels=16, kernel_size=3, stride=1, padding=1)
        self.bn1 = nn.BatchNorm2d(16)

    def forward(self, x):
        x = self.conv1(x)   
        x = self.bn1(x)
        return x

torch.manual_seed(0)
model=CNN().eval()
input=torch.randn(3,16,224,224)
ep=torch.export.export(model,(input,))
print(ep.graph)
```
graph:
```
graph():
    %p_conv1_weight : [num_users=1] = placeholder[target=p_conv1_weight]
    %p_conv1_bias : [num_users=1] = placeholder[target=p_conv1_bias]
    %p_bn1_weight : [num_users=1] = placeholder[target=p_bn1_weight]
    %p_bn1_bias : [num_users=1] = placeholder[target=p_bn1_bias]
    %b_bn1_running_mean : [num_users=1] = placeholder[target=b_bn1_running_mean]
    %b_bn1_running_var : [num_users=1] = placeholder[target=b_bn1_running_var]
    %b_bn1_num_batches_tracked : [num_users=0] = placeholder[target=b_bn1_num_batches_tracked]
    %x : [num_users=1] = placeholder[target=x]
    %conv2d : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%x, %p_conv1_weight, %p_conv1_bias, [1, 1], [1, 1]), kwargs = {})
    %_native_batch_norm_legit_no_training : [num_users=1] = call_function[target=torch.ops.aten._native_batch_norm_legit_no_training.default](args = (%conv2d, %p_bn1_weight, %p_bn1_bias, %b_bn1_running_mean, %b_bn1_running_var, 0.1, 1e-05), kwargs = {})
    %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%_native_batch_norm_legit_no_training, 0), kwargs = {})
    return (getitem,)
```

cc @chauhang @penguinwu @avikchaudhuri @gmagogsfm @zhxchen17 @tugsbayasgalan @angelayi @suo @ydwu4
Repository: vscode
Issue: Settings Editor Synchronization Error
Labels: bug,settings-editor,confirmation-pending

<!-- ⚠️⚠️ Do Not Delete This! bug_report_template ⚠️⚠️ -->
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Does this issue occur when all extensions are disabled?: Yes

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- VS Code Version: 1.95.3
- OS Version: win 11

Steps to Reproduce:

1. Click the Settings button at the bottom left corner of the Workbench, which opens the Settings Editor window.
2. In the Settings Editor window, modify the visibility of the Workbench's Status Bar. (need)
3. Change the visibility of the status bar through the menu: View > Appearance > Status Bar.
4. At this point, the value of the status bar visibility in the Settings Editor window does not synchronize with the recently set state.
Repository: tensorflow
Issue: Does tfl.quantize support QI4 data type
Labels: stat:awaiting tensorflower,type:support,comp:lite

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 22.04
- TensorFlow installed from (source or binary): source 
- TensorFlow version (or github SHA if from source): the latest version

**Standalone code to reproduce the issue** 
The [doc of tfl.quantize](https://www.tensorflow.org/mlir/tfl_ops#tflquantize_tflquantizeop) supports QI4 data types, but [the kernel implementation](https://source.chromium.org/chromium/chromium/src/+/main:third_party/tflite/src/tensorflow/lite/kernels/quantize.cc;l=121) doesn't support QI4 data type, the implementation seems not be consistent with the doc.
Repository: flutter
Issue: Linux plugin_test is 2.11% flaky
Labels: platform-android,P1,c: flake,team-android,triaged-android

<!-- meta-tags: To be used by the automation script only, DO NOT MODIFY.
{
  "name": "Linux plugin_test"
}
-->

The post-submit test builder `Linux plugin_test` had a flaky ratio 2.11% for the past (up to) 100 commits, which is above our 2.00% threshold.

One recent flaky example for a same commit: https://ci.chromium.org/ui/p/flutter/builders/prod/Linux%20plugin_test/21536
Commit: https://github.com/flutter/flutter/commit/638331b13328245d7fd5b8cffd729622e3518b8b

Flaky builds:
https://ci.chromium.org/ui/p/flutter/builders/prod/Linux%20plugin_test/21536
https://ci.chromium.org/ui/p/flutter/builders/prod/Linux%20plugin_test/21529
https://ci.chromium.org/ui/p/flutter/builders/prod/Linux%20plugin_test/21528

Recent test runs:
https://flutter-dashboard.appspot.com/#/build?taskFilter=Linux%20plugin_test

Please follow https://github.com/flutter/flutter/blob/master/docs/infra/Reducing-Test-Flakiness.md#fixing-flaky-tests to fix the flakiness and enable the test back after validating the fix (internal dashboard to validate: go/flutter_test_flakiness).
Repository: terminal
Issue: Releasing both pressed Shift keys (left+right) reports only one
Labels: Help Wanted,Area-Input,Issue-Bug,Product-Terminal,Priority-3

### Windows Terminal version

current main

### Windows build number

10.0.19045.5011

### Other Software

_No response_

### Steps to reproduce

1. Activate "debug tap" pane.
   - Add the global setting (near the top of your JSON file):
     ```
     "debugFeatures": true
     ```
   - Open a new tab while holding down both left and right Alt .
2. Press and release both Shift keys simultaneously.


### Expected Behavior

There are four reports in the "debug tap" pane:
- The first Shift key was pressed.
- The second Shift key was pressed.
- Some Shift key was released.
- The remaining Shift key was released.

### Actual Behavior

![Image](https://github.com/user-attachments/assets/e4e03c3d-6d12-4b8e-aa9c-625ffda013c2)

There are only three reports in the "debug tap" pane:
- The first Shift key was pressed.
- The second Shift key was pressed.
- Some Shift key was released.
Repository: godot
Issue: Can't disable SSL in HttpRequest
Labels: bug,topic:network

### Tested versions

v4.4.dev4.mono.official [36e6207bb]

### System information

Godot v4.4.dev4.mono - Windows 10.0.26100 - Multi-window, 2 monitors - Vulkan (Forward+) - dedicated NVIDIA GeForce RTX 2070 (NVIDIA; 32.0.15.6094) - 13th Gen Intel(R) Core(TM) i7-13700 (24 threads)

### Issue description

I need post a https. for some reason, it will report TLS_HANDSHAKE_ERROR. i'm test in Godot and Qt. both will report this error.
then for Qt, i can add some code for disable tls:
```
QSslConfiguration sslConfig;
sslConfig.setPeerVerifyMode(QSslSocket::VerifyNone);
objRequest.setSslConfiguration(sslConfig);
```
then Qt can get response successful.

but for Godot, i'm try add code like this:
```
http_request.set_tls_options(TLSOptions.client_unsafe())
```
but unfortunately, it can't work. it always response TLS_HANDSHAKE_ERROR.


### Steps to reproduce

none

### Minimal reproduction project (MRP)

none


ADDTION: i'm search for this issue. but all of them was closed. maybe I'm use this in a wrong way, but i don't know how to do it.
Repository: vscode
Issue: Bug Report Must Be Improved
Labels: feature-request,issue-reporter

- There are lots of inappropriate issues
- Most of them are created via VSCode Issue Reporter screen
- The minimum description length is so small
- There is no minimum length requirement for Title, 1 character is enough
- For example, this is accepted: ![Image](https://github.com/user-attachments/assets/fca0fca5-0f35-467b-ab1e-54896c4bdd13)

- Also the issue template can be improved in Github


- This is causing many issues be in bad form. For example: https://github.com/microsoft/vscode/issues/234040 https://github.com/microsoft/vscode/issues/234224 https://github.com/microsoft/vscode/issues/234196
Repository: PowerToys
Issue: PowerToys RUN crash when I play game
Labels: Issue-Bug,Needs-Triage

### Microsoft PowerToys version

0.86.0

### Installation method

GitHub

### Running as admin

No

### Area(s) with issue?

PowerToys Run

### Steps to reproduce

I am playing DIRT RALLY 2 with boadless window. 
Microsoft Windows [10.0.27749.1000]

### ✔️ Expected Behavior

I am starting race.

### ❌ Actual Behavior

game screen frozen and PowerToys RUN show error.

[2024-11-20.txt](https://github.com/user-attachments/files/17829455/2024-11-20.txt)


### Other Software

_No response_
Repository: tauri
Issue: [feat] How to modify the referer attribute of video and audio on the Android platform
Labels: type: feature request

### Describe the problem

How to modify the referer attribute of video and audio on the Android platform, because I am now making the app version of the website, but in Tauri, the referer looks like tarui.local

### Describe the solution you'd like

How to modify the referer attribute of video and audio on the Android platform, because I am now making the app version of the website, but in Tauri, the referer looks like tarui.local

### Alternatives considered

_No response_

### Additional context

_No response_
Repository: ui
Issue: [bug]: Can't install shadcn
Labels: bug

### Describe the bug

                              npx shadcn@latest init -d
>> C:\Users\Hs\Documents\sam>
✔ Preflight checks.
✔ Verifying framework. Found Next.js.
✔ Validating Tailwind CSS.
✔ Validating import alias.
✔ Writing components.json.
✔ Checking registry.
✔ Updating tailwind.config.js
✔ Updating src\app\globals.css
⠋ Installing dependencies.
Something went wrong. Please check the error below for more details.
If the problem persists, please open an issue on GitHub.

Command failed with UNKNOWN: yarn add tailwindcss-animate class-variance-authority lucide-react clsx tailwind-merge
spawn UNKNOWN

### Affected component/components

the component itself

### How to reproduce

                              npx shadcn@latest init -d
>> C:\Users\Hs\Documents\sam>
✔ Preflight checks.
✔ Verifying framework. Found Next.js.
✔ Validating Tailwind CSS.
✔ Validating import alias.
✔ Writing components.json.
✔ Checking registry.
✔ Updating tailwind.config.js
✔ Updating src\app\globals.css
⠋ Installing dependencies.
Something went wrong. Please check the error below for more details.
If the problem persists, please open an issue on GitHub.

Command failed with UNKNOWN: yarn add tailwindcss-animate class-variance-authority lucide-react clsx tailwind-merge
spawn UNKNOWN

### Codesandbox/StackBlitz link

_No response_

### Logs

```bash
npx shadcn@latest init -d
>> C:\Users\Hs\Documents\sam>
✔ Preflight checks.
✔ Verifying framework. Found Next.js.
✔ Validating Tailwind CSS.
✔ Validating import alias.
✔ Writing components.json.
✔ Checking registry.
✔ Updating tailwind.config.js
✔ Updating src\app\globals.css
⠋ Installing dependencies.
Something went wrong. Please check the error below for more details.
If the problem persists, please open an issue on GitHub.

Command failed with UNKNOWN: yarn add tailwindcss-animate class-variance-authority lucide-react clsx tailwind-merge
spawn UNKNOWN
```


### System Info

```bash
npx shadcn@latest init -d
>> C:\Users\Hs\Documents\sam>
✔ Preflight checks.
✔ Verifying framework. Found Next.js.
✔ Validating Tailwind CSS.
✔ Validating import alias.
✔ Writing components.json.
✔ Checking registry.
✔ Updating tailwind.config.js
✔ Updating src\app\globals.css
⠋ Installing dependencies.
Something went wrong. Please check the error below for more details.
If the problem persists, please open an issue on GitHub.

Command failed with UNKNOWN: yarn add tailwindcss-animate class-variance-authority lucide-react clsx tailwind-merge
spawn UNKNOWN
```


### Before submitting

- [X] I've made research efforts and searched the documentation
- [X] I've searched for existing issues
Repository: deno
Issue: Deno.serve timeouts on AWS lambda
Labels: needs investigation

Version: Deno 2.0.6

I'm trying to deploy a **complied** deno project into AWS Lambda. I'm using Hono, and in the docs, they are using [Deno.serve](https://hono.dev/docs/getting-started/deno#_3-hello-world).
The problem is that lambda timeouts and returns `Internal Server Error`.

After investigating the problem it seems that the `Deno.serve` is causing this.

In the log I can see:
```
2024-11-20T09:22:13.960Z | Listening on http://0.0.0.0:8000/
2024-11-20T09:22:22.838Z | EXTENSION Name: lambda-adapter State: Ready Events: []
2024-11-20T09:22:22.838Z | INIT_REPORT Init Duration: 9999.92 ms Phase: init Status: timeout
```

Steps:
1. Create a `main.ts` with `Deno.serve((req) => new Response("Hello World!"));`
2. Build & deploy the app:
```
deno compile -A --target x86_64-unknown-linux-gnu --no-check -o bootstrap main.ts && chmod +x ./bootstrap && zip -r -D artifact.zip bootstrap && aws lambda update-function-code --region eu-central-1 --function-name deno-compiled --zip-file fileb://artifact.zip
```
3. Remember to add lambda layer adapter `arn:aws:lambda:eu-central-1:753240598075:layer:LambdaAdapterLayerX86:23`.

I know there is a dockerised approach for deploying Deno, but I don't want to use it because it uses too much memory.

If you take an oak example from [aws-lambda-web-adapter examples](https://github.com/awslabs/aws-lambda-web-adapter/blob/main/examples/deno-zip/src/main.ts), compile it, and deploy it to AWS Lambda - it works.
Repository: TypeScript
Issue: NoInfer not working on callback parameter destructuring
Labels: Help Wanted,Possible Improvement

### 🔎 Search Terms

NoInfer parameter callback destructuring

### 🕗 Version & Regression Information

Latest to date.

### ⏯ Playground Link

https://www.typescriptlang.org/play/?#code/MYGwhgzhAEBiD28A8AVANNASgPmgbwCgBIYeAOwgBcAnAV2EvmoApqBTMAE3JAE9pgAIwBc0ZpVHpoAfVEA5eAEkyAMzbUkeaAA9RZWgFtB6gNzR4lABbr5S1eqQ5oAX2wBKaAF5cmD3mfEAPSBAuRUdAxMrBzcZHwCImIS0FKy+Dp6hsbUZhbW1LbKahpOzh7eWH4BRMGhFDT0jCzsXDz8QqLikhhpCkUOWrrQ+kam5lY2WC7uXj5VBAEEpPUyAIxew2wA7nCIzMxkYAZsouEAlmQA5hiDLuW4zFqHxxjad25mtQjI51cYtGQANZkeBbMjYAi1CCWeC0ECcaDGXY-GgXa7pZ4naC-S5mIYjbLTAhLMKUGQAJg2ZG2yP2mNOqKu9zETyObHenxCWyYgIgom+SBxN2GbIZ1DRRKAA

### 💻 Code

```ts
class Foo<T, R> {
	constructor(readonly cb: (t: T, _: NoInfer<{ x: number; other: NoInfer<R> }>) => R) {}
}

const _1 = new Foo((name: string, { x }) => ({ name, x })); // Foo<string, unknown>
// should be Foo<string, { name: string; x: number }>

const _2 = new Foo((name: string) => ({ name })); // works: Foo<string, { name: string }>
```


### 🙁 Actual behavior

infers `unknown`.

### 🙂 Expected behavior

Should ignore the parameter tagged with `NoInfer` and infer correctly.

### Additional information about the issue

Is this intended behavior? feels like a bug to me.
If the callback parameter is destructured partially it infers `unknown`, but it works if the parameter is omitted.
I tried `NoInfer` at various locations.
Repository: vscode
Issue: Presentation of experimental settings in settings.json
Labels: bug,settings-editor

![Image](https://github.com/user-attachments/assets/d2662f4c-f1d9-4542-a770-8958e4b38e06)

Thoughts:

1. Why the line about no quick fixes?
2. I was expecting it to look more like deprecated, where there's a yellow underline to be much more obvious about settings that could potentially break the editor.
Repository: vscode
Issue: Light bulb shows up for move to new file?
Labels: bug,editor-code-actions

Maybe I remember wrong but didn't we hide the lightbulb when the only actions were move to file?

![Image](https://github.com/user-attachments/assets/62412826-b28d-4847-92fb-1e4edfdbac40)

Version: 1.96.0-insider (user setup)
Commit: 8d1d1373cd9b8408222b51958e9688827a9e27ce
Date: 2024-11-20T09:23:45.992Z
Electron: 32.2.5
ElectronBuildId: 10579404
Chromium: 128.0.6613.186
Node.js: 20.18.0
V8: 12.8.374.38-electron.0
OS: Windows_NT x64 10.0.26100
Repository: go
Issue: os/signal: TestSignalTrace is flaky on openbsd/arm64
Labels: OS-OpenBSD,NeedsInvestigation,arch-arm64,compiler/runtime

The `os/signal.TestSignalTrace` is flaky on openbsd/arm64:

  https://build.golang.org/log/5a334b71cd825842917d59f362ca9c211da82ec9

  https://build.golang.org/log/2c4c9b74d2a13ab71e0a00d8430fbf367a4a96e1

This appears to be a signal being lost - it's not currently clear when this issue started, or where the problem exists (and it may well be a kernel related issue). The failure can be reproduced by running `os/signal.TestSignalTrace` in a loop on an Apple M1 or Apple M2. Running another competing workload (such as a build) will speed up the test failure.

This test should be skipped until it can be diagnosed further.