sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: godot
Issue: Cannot use new signal created using Signal()
Labels: enhancement,topic:core,documentation

### Godot version

v4.0.alpha11.official.afdae67cc

### System information

Linux

### Issue description

After creating a new signal using the empty `Signal()` constructor or `Signal(object, name)`, the created signal cannot be emitted and doesn't work with `await`.

In the latter case, if you declare the signal first with `signal custom_signal` or `add_user_signal("custom_signal")` it works as normal, but nothing in the docs implies you have to do this.

> Signal Signal()
> Constructs a null Signal with no object nor signal name bound.
> 
> Signal Signal(object: Object, signal: StringName)
> Creates a new Signal with the name signal in the specified object.

Also, at the moment it doesn't seem to be possible to use "anonymous" signals or change the name/object of a signal. There is no `Signal.new()` either.

If this is all working as intended, I think that appropriate documentation and error messages (when creating an unusable signal) should at least be added.

### Steps to reproduce

1. Create a signal using the syntax `var sig = Signal(self, "custom_signal")`
2. `sig.emit()` gives `Can't emit non-existing signal "custom_signal".`
3. `await sig` gives `Error connecting to signal: custom_signal during await.`

### Minimal reproduction project

```gdscript
extends Node2D

func _ready():
	var sig = Signal(self, "custom_signal")
	sig.connect(queue_free) # fails to connect
	sig.emit() # fails to emit
	await sig # await fails
```
Repository: three.js
Issue: Examples: OpenGraph meta tags
Labels: Addons

This is a rather minor issue but could be fixed quickly i suppose, but if the example page is just static passing the tag to the iframe it could be fixed by outputting it through a php or other, just as wrapper for adding these tags based on the query.

![image](https://user-images.githubusercontent.com/28584767/177053425-6d0b927f-8ae0-491f-83e2-e876d4d886e7.png)

Some platforms like the forum also automatically create a link with the page title instead full link

![image](https://user-images.githubusercontent.com/28584767/177053853-e28fc393-fb66-437e-afc1-791d24bc220b.png)

It would be nice to provide the thumbnails we have since longer, for embedding in social media. And for the title using or appending the example name. The relevant og tags:

``` html
<meta property="og:title" content="" />
<meta property="og:type" content="website" />
<meta property="og:url" content="" />
<meta property="og:image" content="" />
<meta property="og:description" content="" />
```
Repository: rust
Issue: Make mem::uninitialized inaccessible in future editions
Labels: T-lang,T-libs-api,A-maybe-future-edition

We have reached the end of what we can do in https://github.com/rust-lang/rust/issues/66151 (making `mem::uninitialized` panic when it is used incorrectly) without enormous amounts of crater failures. However, there is still one more thing we can do: we can make `mem::uninitialized()` inaccessible in future editions. We seem to have the support of at least [one lang-team member](https://rust-lang.zulipchat.com/#narrow/stream/213817-t-lang/topic/Making.20mem.3A.3Auninitialized.20detect.20more.20UB.20only.20in.20new.20edition/near/276909362) as well. :) Cc @joshtriplett 

@bstrie mentioned they have a patch doing this, though the [RFC got closed](https://github.com/rust-lang/rfcs/pull/3088). Reading the [Zulip discussion](https://rust-lang.zulipchat.com/#narrow/stream/268952-edition-2021/topic/denying.20edition.202015.20deprecated.20APIs), it looks like some libs team members were concerned, though the concern seems to have been mostly around hiding things from the docs. I am not talking about the docs here, I just want edition 2024 code to not compile when it calls `mem::uninitialized`. @m-ou-se I wonder if you would be fine with that?
Repository: pytorch
Issue: Add typing support to ModuleList and ModuleDict
Labels: module: typing,triaged

### 🚀 The feature, motivation and pitch

Currently, the containers `nn.ModuleList` and `nn.ModuleDict` are typing-unaware, i.e. given this:

```python
class A(nn.Module):
    def __init__(self):
        self.my_modules = nn.ModuleList([nn.Linear(1, 1) for _ in range(10)])
```

`self.my_modules[i]` is treated as `nn.Module`, not as `nn.Linear`. For example, VSCode complains about snippets like `function_that_expects_tensor(self.my_modules[i].weight`), because it thinks that `.weight` can be both `Tensor` and `nn.Module`.

What I propose:

```python
from collections.abc import MutableSequence
from typing import TypeVar

ModuleListValue = TypeVar('ModuleListValue', bound=nn.Module)

class ModuleList(Module, MutableSequence[ModuleListValue]):
    # now, some methods can be typed, e.g.:    
    def __getitem__(...) -> ModuleListValue:
        ...
    ...
```

For `nn.DictModule`, it is a bit more complicated, since there are two different patterns:
- (A) `dict`-like: the set of keys is not fixed, all values are modules of the same type (e.g. `nn.Linear`)
- (B) `TypedDict`-like: the set of keys is fixed, the values can be of different types (e.g. `{'linear': nn.Linear(...), 'relu': nn.ReLU}`).

(A) can be implemented similarly to the previous example:

```python
...
class ModuleDict(Module, MutableMapping[str, ModuleDictValue]):
    ...
```

In fact, this can cover (B) as well in a very limited way (by setting `ModuleDictValue=nn.Module`). And it is unclear to me how to implement the fully functioning (B), it looks like we need something like `TypedMutableMapping`, but there is no such thing in typing. So I would start with `MutableMapping` and add TypedModuleDict when it becomes technically possible.

### Alternatives

_No response_

### Additional context

_No response_

cc @ezyang @malfet @rgommers @xuzhao9 @gramster
Repository: angular
Issue: Views attached to ApplicationRef cannot be detached from Change Detection unless they're dettached from ApplicationRef itself
Labels: area: core,core: change detection,P4,bug

### Which @angular/* package(s) are the source of the bug?

core

### Is this a regression?

No

### Description

If you create a view and add it to `ApplicationRef` directly, then calling `changeDetectorRef.detach()` will have no effect. It's expected that when detaching the view from change detection, CD does not run, even if it's directly attached to ApplicationRef.

I believe this is related to the fact that `ApplicationRef` does a manual `detectChanges()` call without checking the LView's DIRTY/ATTACHED flags.

https://github.com/angular/angular/blob/3a60063a54d850c50ce962a8a39ce01cfee71398/packages/core/src/application_ref.ts#L986-L988

### Please provide a link to a minimal reproduction of the bug

https://stackblitz.com/edit/angular-ivy-vvznhk?devToolsHeight=33&file=src/app/app.component.ts

### Please provide the exception or error you saw

_No response_

### Please provide the environment you discovered this bug in (run `ng version`)

```true
Angular 14, but is present in all versions, I believe. See the stackblitz example for details
```


### Anything else?

_No response_
Repository: kubernetes
Issue: High resource usage due to no exponential backoff for cacher.startCaching
Labels: kind/bug,sig/api-machinery,triage/accepted

### What happened?

We're seeing mulitple clusters where the API server is stuck in a loop trying to intialize its cache.  The result is high resource usage and, sometimes, lots of 429 responses to user traffic.

It happens when there is a conversion webhook for a certain type, and that conversion webhook fails.  We see error messages that look like this (I've redacted identifiying details of the webhook, since we've seen it happen with several different ones).

`unexpected ListAndWatch error: failed to list <redacted>, Kind=<redacted>: conversion webhook for <redacted>, Kind=<redacted> failed: Post <redacted conversion webhook url>": <redacted webhook error>; reinitializing...`

### What did you expect to happen?

API server should back off, or maybe even stop trying, to initialize its cache if it can never succeed.

### How can we reproduce it (as minimally and precisely as possible)?

Set up a conversion webhook for a resource type, and ensure that webhook will always fail.  Then restart the API server.  When api server tries to fill its watch cache for the resource type, you'll get the repeated errors.

### Anything else we need to know?

The code here should backoff, instead of just doing a retry every second: https://github.com/kubernetes/kubernetes/blob/976a940f4a4e84fe814583848f97b9aafcdb083f/staging/src/k8s.io/apiserver/pkg/storage/cacher/cacher.go#L390 


### Kubernetes version

1.22.6 (but same bug is in master)


### Cloud provider

AKS

### 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: godot
Issue: Crash on startup on Raspberry Pi4b 64bit Ubuntu 22.04 + v3dv
Labels: bug,platform:linuxbsd,topic:rendering,topic:thirdparty,crash

### Godot version

Godot Engine v4.0.alpha.custom_build.41fdddb1f

### System information

Raspberry Pi4b 64bit Ubuntu 22.04 + v3dv

### Issue description

I just built and was trying to start Godot with the vulkan loader pointing to the official Raspberry Vulkan driver v3dv by Igalia.
I get a black window and this message in the term,

Hopefully this can be of use.

```
bin/godot.linuxbsd.tools.64 
Godot Engine v4.0.alpha.custom_build.41fdddb1f - https://godotengine.org
Vulkan API 1.2.0 - Using Vulkan Device #0: Unknown - V3D 4.2
 
ERROR: vmaCreatePool failed with error -8.
   at: _find_or_create_small_allocs_pool (drivers/vulkan/rendering_device_vulkan.cpp:8807)
ERROR: Can't create buffer of size: 1024, error -8.
   at: _buffer_allocate (drivers/vulkan/rendering_device_vulkan.cpp:1347)

================================================================
handle_crash: Program crashed with signal 11
Engine version: Godot Engine v4.0.alpha.custom_build (41fdddb1f8132dcba8256a145de44da5df3155b2)
Dumping the backtrace. Please include this when reporting the bug on: https://github.com/godotengine/godot/issues
[1] linux-vdso.so.1(__kernel_rt_sigreturn+0) [0xffff9919f7dc] (??:0)
[2] /usr/lib/libvulkan_broadcom.so(+0x13f2c4) [0xffff96d9f2c4] (??:0)
[3] /usr/lib/libvulkan_broadcom.so(+0x13f550) [0xffff96d9f550] (??:0)
[4] /usr/lib/libvulkan_broadcom.so(+0x13f644) [0xffff96d9f644] (??:0)
[5] /usr/lib/libvulkan_broadcom.so(+0x603f4) [0xffff96cc03f4] (??:0)
[6] /usr/lib/libvulkan_broadcom.so(+0x60f5c) [0xffff96cc0f5c] (??:0)
[7] /usr/lib/libvulkan_broadcom.so(+0xa252c) [0xffff96d0252c] (??:0)
[8] RenderingDeviceVulkan::texture_get_data(RID, unsigned int) (??:0)
[9] RendererRD::TextureStorage::texture_2d_get(RID) const (??:0)
[10] RenderingServerDefault::texture_2d_get(RID) const (??:0)
[11] ImageTexture::get_image() const (??:0)
[12] bin/godot.linuxbsd.tools.64(+0x34cf990) [0xaaaadcfff990] (??:0)
[13] create_editor_theme(Ref<Theme>) (??:0)
[14] create_custom_theme(Ref<Theme>) (??:0)
[15] ProjectManager::ProjectManager() (??:0)
[16] Main::start() (??:0)
[17] bin/godot.linuxbsd.tools.64(main+0x13c) [0xaaaadbd88950] (??:0)
[18] /lib/aarch64-linux-gnu/libc.so.6(+0x273fc) [0xffff98b973fc] (??:0)
[19] /lib/aarch64-linux-gnu/libc.so.6(__libc_start_main+0x98) [0xffff98b974cc] (??:0)
[20] bin/godot.linuxbsd.tools.64(_start+0x30) [0xaaaadbd88730] (??:0)
-- END OF BACKTRACE --
================================================================
```

Cheers

### Steps to reproduce

Build as usual but with Mesa/Igalia Vulkan driver build from hot.
`scons -j3 module_denoise_enabled=no module_lightmapper_cpu_enabled=no module_raycast_enabled=no`
Run in shell on Ubuntu desktop.

### Minimal reproduction project

_No response_
Repository: PowerToys
Issue: Additional markdown extensions
Labels: Idea-Enhancement,Product-File Explorer,Needs-Triage,Needs-Team-Response

### Description of the new feature / enhancement

There are a bunch of different filetypes which are either markdown or extensions of markdown. For example .Qmd and .Rmd are R flavoured versions of markdown with additional features. It would be nice if you could specify additional file extensions beyond the standard .md to be parsed using the markdown file previewer.

### Scenario when this would be used?

R users use a lot of .Rmd, but others also use particular named md extensions for various purposes.

### Supporting information

_No response_
Repository: pytorch
Issue: Ne op does not behaves as expected with nan
Labels: high priority,needs reproduction,triaged

### 🐛 Describe the bug

When  Nan values are given as input torch.ne op behaves in a strange manner

```
import torch 
import numpy as np
x= torch.tensor([  -np.inf, 0.3516, 0.3719, 0.5452, 0.4024, 0.9232, 0.6995, 0.0805, 0.7434,0.1871, 0.3802, 0.5379, 0.1533,    np.nan, 0.8519, 0.7572,    np.inf, 0.4675, 0.4702, 0.2297, 0.5905, 0.6923, 0.2628,   -np.inf,   -np.inf, 0.6335, 0.9912,0.9256, 0.0237, 0.4891,    np.nan, 0.9731])
x.ne__(45)
# when x.size is greater than or equal to 32, ne  op returns 0 in the place of NAN

x= torch.tensor([  -np.inf, 0.9232, 0.6995, 0.0805, 0.7434,0.1871, 0.3802, 0.5379, 0.1533,    np.nan, 0.8519, 0.7572,    np.inf, 0.4675, 0.4702, 0.2297, 0.5905, 0.6923, 0.2628,   -np.inf,   -np.inf, 0.6335, 0.9912,0.9256, 0.0237, 0.4891,    np.nan, 0.9731])
x.ne__(45)
# when x.size is lesser than 32, ne  op returns 1 in the place of NAN


```


### Versions

Collecting environment information...
PyTorch version: 1.11.0+cu113
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.5 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: 6.0.0-1ubuntu2 (tags/RELEASE_600/final)
CMake version: version 3.22.5
Libc version: glibc-2.26

Python version: 3.7.13 (default, Apr 24 2022, 01:04:09)  [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
Is CUDA available: False
CUDA runtime version: 11.1.105
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.0.5
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.21.6
[pip3] torch==1.11.0+cu113
[pip3] torchaudio==0.11.0+cu113
[pip3] torchsummary==1.5.1
[pip3] torchtext==0.12.0
[pip3] torchvision==0.12.0+cu113
[conda] Could not collect

cc @ezyang @gchanan @zou3519
Repository: pytorch
Issue: Can torchscript dump backward graph?
Labels: oncall: jit

### 🚀 The feature, motivation and pitch

Can torchscript dump backward graph?
I am interested in tracing through both the forward and backward graph using TorchScript and dumping the IR, for full graph optimization in a separate framework.

Currently,  can torchscript dump backward graph?

### Alternatives

_No response_

### Additional context

_No response_
Repository: pytorch
Issue: [DDP] doesn't support multiple backwards when static_graph=True
Labels: oncall: distributed,module: ddp

### 🐛 Describe the bug

```python
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.nn.parallel import DistributedDataParallel as DDP

class ToyModel(nn.Module):
    def __init__(self, in_dim=10, out_dim=5):
        super(ToyModel, self).__init__()
        self.dense1 = nn.Linear(in_dim, in_dim)
        self.dense2 = nn.Linear(in_dim, out_dim)
    
    def forward(self, x):
        x = self.dense1(x)
        return self.dense2(x)


dist.init_process_group("nccl")
rank = dist.get_rank()

model = ToyModel().to(rank)
ddp_model = DDP(model, device_ids=[rank], find_unused_parameters=True)
ddp_model._set_static_graph()

x = torch.randn(5, 10)
y = torch.randn(5, 5).to(rank)
loss_fn = nn.MSELoss()

output = ddp_model(x)
loss = loss_fn(output, y)

loss.backward(retain_graph=True)
output.backward(torch.zeros_like(output))
```

It will report the error:
```
SystemError: <built-in method run_backward of torch._C._EngineBase object at 0x7fb37a2ec200> returned NULL without setting an error
```
But if I call the prepare_for_backward before backward (like #47260),
```python
ddp_model.reducer.prepare_for_backward(loss)
loss.backward(retain_graph=True)
ddp_model.reducer.prepare_for_backward(output)
output.backward(torch.zeros_like(output))
```
It works and the output seems ok. But I don't know if this is correct or potentially risky?

cc @pietern @mrshenli @pritamdamania87 @zhaojuanmao @satgera @rohan-varma @gqchen @aazzolini @osalpekar @jiayisuse @SciPioneer @H-Huang @kwen2501 @ezyang @gchanan @zou3519 @bdhirsh @agolynski @mrzzd @xush6528


### Versions

PyTorch 1.10.0
Repository: transformers
Issue: Add DFFT
Labels: New model

### Model description

DFFT is a new fully Transformer-based object detector. The model doesn't require a decoder, unlike DETR.

### Open source status

- [X] The model implementation is available
- [X] The model weights are available

### Provide useful links for the implementation

Paper: https://arxiv.org/abs/2206.06829

Github repo (and weights): https://github.com/Pealing/DFFT
Repository: flutter
Issue: [Flutter Web] The keyboard animation is abnormal when the Web closes the keyboard on Android
Labels: a: text input,framework,a: animation,f: material design,a: quality,platform-web,has reproducible steps,P2,found in release: 3.0,found in release: 3.1,team-web,triaged-web

When Flutter is output to the web, on iPhone 13 Simulator and Note 8, 
there is a blank background when the keyboard is folded, causing strange animations, especially on Android.


iPhone 13 Simulator
![image info](https://imgur.com/dRuTdQ7.gif)

Android Note 8 chrome
![image info](https://imgur.com/r9k8UZB.gif)



Demo Code
```
class MyHomePage extends StatefulWidget {
  const MyHomePage({Key? key, required this.title}) : super(key: key);
  final String title;

  @override
  State<MyHomePage> createState() => _MyHomePageState();
}

class _MyHomePageState extends State<MyHomePage> {
  var viewList = new List<int>.generate(100, (i) => i + 1);

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text(widget.title),
      ),
      body: SingleChildScrollView(
        child: Column(
            mainAxisAlignment: MainAxisAlignment.center,
            children: viewList
                .asMap()
                .entries
                .map((e) => _textFieldView(e.key))
                .toList()),
      ),
    );
  }

  Widget _textFieldView(int index) {
    return Container(
      width: double.infinity,
      height: 44,
      padding: EdgeInsets.all(8),
      child: Row(
        children: [
          Text(index.toString()),
          Expanded(child: TextField()),
        ],
      ),
    );
  }
}
```

flutter doctor
```
Doctor summary (to see all details, run flutter doctor -v):
[✓] Flutter (Channel stable, 3.0.0, on macOS 12.3.1 21E258 darwin-arm (Rosetta), locale zh-Hant-TW)
[✓] Android toolchain - develop for Android devices (Android SDK version 32.0.0)
[✓] Xcode - develop for iOS and macOS (Xcode 13.2.1)
[✓] Chrome - develop for the web
[✓] Android Studio (version 2020.3)
[✓] VS Code (version 1.68.1)
[✓] Connected device (8 available)
[✓] HTTP Host Availability
```
Repository: vscode
Issue: Support Markdown hovers for CodeLens
Labels: feature-request,api,code-lens

<!-- ⚠️⚠️ Do Not Delete This! feature_request_template ⚠️⚠️ -->
<!-- Please read our Rules of Conduct: https://opensource.microsoft.com/codeofconduct/ -->
<!-- Please search existing issues to avoid creating duplicates. -->

A `CodeLens` currently takes a `Command` which only allows a plain text hover via a `tooltip` property. It would be nice to support a rich Markdown based hover for Code Lens as supported in other APIs.

We are currently adding a decoration that has such a rich Markdown hover, but would like to show the same rich markdown hover from our Code Lenses.
Repository: opencv
Issue: Do not use reserved identifiers
Labels: category: core,category: build/install

https://github.com/opencv/opencv/blob/3bf22d00240bdaa2496fb7a4e96ada49e5b40156/modules/core/include/opencv2/core/mat.inl.hpp#L81

This has undefined behaviour because names like `_Tp` are reserved for the implementation (the compiler and standard library).

There's nothing wrong with `Tp`, or just `T`, so you could use that.
Repository: godot
Issue: [C#] Unable to load assembly
Labels: needs testing,topic:dotnet

### Godot version

v3.5.rc5.mono.official [ae6059793]

### System information

Windows 11, GLES3

### Issue description

I want to use `LitJson` to Serialize Property, but when I run the scene, it throw a exception
```
System.IO.FileNotFoundException: Could not load file or assembly 'LitJSON, Version=0.18.0.0, Culture=neutral, PublicKeyToken=null' or one of its dependencies.
File name: 'LitJSON, Version=0.18.0.0, Culture=neutral, PublicKeyToken=null'
```

Here is mono log:
```
Loading reference 17 of C:/Users/redel/Documents/Projects/Move/Movalia/.mono/temp/bin/Debug/Movalia.dll asmctx DEFAULT, looking for LitJSON, Version=0.18.0.0, Culture=neutral, PublicKeyToken=null (in domain Mono, info)
Assembly Loader probing location: 'C:/Program Files/Godot/GodotSharp/Mono/lib\LitJSON.dll'. (in domain Mono, info)
Assembly Loader probing location: 'C:\Program Files\Godot\GodotSharp\Mono\lib\mono\4.5\/Facades\LitJSON.dll'. (in domain Mono, info)
Assembly Loader probing location: 'C:/Program Files/Godot/GodotSharp/Mono/lib\LitJSON.exe'. (in domain Mono, info)
Assembly Loader probing location: 'C:\Program Files\Godot\GodotSharp\Mono\lib\mono\4.5\/Facades\LitJSON.exe'. (in domain Mono, info)
Assembly Loader probing location: 'C:\Users\redel\Documents\Projects\Move\Movalia\.mono\temp\bin\Debug\LitJSON.dll'. (in domain Mono, info)
Assembly Loader probing location: 'C:/Program Files/Godot/GodotSharp/Mono/lib\LitJSON.dll'. (in domain Mono, info)
Assembly Loader probing location: 'C:\Program Files\Godot\GodotSharp\Mono\lib\mono\4.5\/Facades\LitJSON.dll'. (in domain Mono, info)
Assembly Loader probing location: 'C:\Users\redel\Documents\Projects\Move\Movalia\.mono\temp\bin\Debug\LitJSON.exe'. (in domain Mono, info)
Assembly Loader probing location: 'C:/Program Files/Godot/GodotSharp/Mono/lib\LitJSON.exe'. (in domain Mono, info)
Assembly Loader probing location: 'C:\Program Files\Godot\GodotSharp\Mono\lib\mono\4.5\/Facades\LitJSON.exe'. (in domain Mono, info)
The following assembly referenced from C:/Users/redel/Documents/Projects/Move/Movalia/.mono/temp/bin/Debug/Movalia.dll could not be loaded:
     Assembly:   LitJSON    (assemblyref_index=17)
     Version:    0.18.0.0
     Public Key: (none)
The assembly was not found in the Global Assembly Cache, a path listed in the MONO_PATH environment variable, or in the location of the executing assembly (C:\Users\redel\Documents\Projects\Move\Movalia\.mono\temp\bin\Debug\).
 (in domain Mono, warning)
Failed to load assembly Movalia[0000027436b55700]. (in domain Mono, info)
```

### Steps to reproduce

Just run the scene

### Minimal reproduction project

[Playground.zip](https://github.com/godotengine/godot/files/9038733/Playground.zip)