sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: rust
Issue: regression: a value of type `HashMap<Pulse, u64>` cannot be built from
Labels: T-lang,T-compiler,regression-from-stable-to-beta,I-prioritize,I-lang-nominated,A-edition-2024

- https://crater-reports.s3.amazonaws.com/beta-1.85-1/beta-2025-01-12/gh/dimo414.advent-2023/log.txt

```
[INFO] [stderr]    Compiling advent-2023 v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] error[E0277]: a value of type `HashMap<Pulse, u64>` cannot be built from an iterator over elements of type `&(Pulse, {integer})`
[INFO] [stdout]    --> src/bin/20/main.rs:278:88
[INFO] [stdout]     |
[INFO] [stdout] 278 |           assert_eq!(config.counts, [(Pulse::Low, low), (Pulse::High, high)].into_iter().collect());
[INFO] [stdout]     |                                                                                          ^^^^^^^ value of type `HashMap<Pulse, u64>` cannot be built from `std::iter::Iterator<Item=&(Pulse, {integer})>`
[INFO] [stdout] 279 |       } }
```
Repository: rust
Issue: regression: cannot borrow ... as immutable because it is also borrowed as mutable
Labels: T-compiler,regression-from-stable-to-beta,P-critical,T-types

- https://crater-reports.s3.amazonaws.com/beta-1.85-1/beta-2025-01-12/gh/LP-Finance-Inc.twamm/log.txt
- https://crater-reports.s3.amazonaws.com/beta-1.85-1/beta-2025-01-12/gh/Mokosha.pbrt_rust/log.txt
- https://crater-reports.s3.amazonaws.com/beta-1.85-1/beta-2025-01-12/gh/jw1912.diffable/log.txt

```
[INFO] [stdout] error[E0502]: cannot borrow `*inputs` as immutable because it is also borrowed as mutable
[INFO] [stdout]    --> examples/basic.rs:267:27
[INFO] [stdout]     |
[INFO] [stdout] 263 |           if let Some(grd) = inputs[0].grad.as_mut() {
[INFO] [stdout]     |                              -------------- mutable borrow occurs here
[INFO] [stdout] 264 | /             *grd += output_grad
[INFO] [stdout] 265 | |                 * if inputs[0].val > 0.0 {
[INFO] [stdout] 266 | |                     1.0
[INFO] [stdout] 267 | |                 } else if inputs[0].val == 0.0 {
[INFO] [stdout]     | |                           ^^^^^^^^^ immutable borrow occurs here
[INFO] [stdout] ...   |
[INFO] [stdout] 270 | |                     -1.0
[INFO] [stdout] 271 | |                 };
[INFO] [stdout]     | |_________________- mutable borrow later used here
```
Repository: rust
Issue: regression: ICE: `trimmed_def_paths` called, diagnostics were expected but none were emitted
Labels: I-ICE,P-high,T-compiler,regression-from-stable-to-beta

- https://crater-reports.s3.amazonaws.com/beta-1.85-1/beta-2025-01-12/reg/quinn-proto-0.11.9/log.txt

```
[INFO] [stderr] `trimmed_def_paths` called, diagnostics were expected but none were emitted. Use `with_no_trimmed_paths` for debugging. This happened in the following `must_produce_diag` call's backtrace:
[INFO] [stderr]    0: <rustc_errors::DiagCtxtHandle>::set_must_produce_diag
[INFO] [stderr]    1: <rustc_session::session::Session>::record_trimmed_def_paths
[INFO] [stderr]    2: rustc_middle::ty::print::pretty::trimmed_def_paths
[INFO] [stderr]    3: rustc_query_impl::plumbing::__rust_begin_short_backtrace::<rustc_query_impl::query_impl::trimmed_def_paths::dynamic_query::{closure#2}::{closure#0}, rustc_middle::query::erase::Erased<[u8; 8]>>
[INFO] [stderr]    4: rustc_query_system::query::plumbing::try_execute_query::<rustc_query_impl::DynamicConfig<rustc_query_system::query::caches::SingleCache<rustc_middle::query::erase::Erased<[u8; 8]>>, false, false, false>, rustc_query_impl::plumbing::QueryCtxt, false>
[INFO] [stderr]    5: rustc_query_impl::query_impl::trimmed_def_paths::get_query_non_incr::__rust_end_short_backtrace
```
Repository: flutter
Issue: I get this error in IOS : [ERROR:flutter/runtime/dart_vm_initializer.cc(40)] Unhandled Exception: PlatformException(channel-error, Unable to establish connection on channel: "dev.flutter.pigeon.path_provider_foundation.PathProviderApi.getDirectoryPath"., null, null) #0
Labels: waiting for customer response,in triage

When I try to run this in IOS I get this error.

[ERROR:flutter/runtime/dart_vm_initializer.cc(40)] Unhandled Exception: PlatformException(channel-error, Unable to establish connection on channel: "dev.flutter.pigeon.path_provider_foundation.PathProviderApi.getDirectoryPath"., null, null)
#0      PathProviderApi.getDirectoryPath (package:path_provider_foundation/messages.g.dart:95:7)
Repository: deno
Issue: Relax restrictions on scrypt `log_n`
Labels: upstream,node compat,crypto

Version: Deno 2.1.6

```js
// scrypt.js
import crypto from 'node:crypto'

crypto.scrypt('password', 'salt', 128, (err, hashed) => {
  if (err) throw err
  console.log('hashed = ', hashed.toString('hex'))
})

crypto.scrypt('password', 'salt', 128, (err, hashed) => {
  if (err) throw err
  console.log('hashed = ', hashed.toString('hex'))
})
```

```shell
$ deno ./scrypt.js

============================================================
Deno has panicked. This is a bug in Deno. Please report this
at https://github.com/denoland/deno/issues/new.
If you can reliably reproduce this panic, include the
reproduction steps and re-run with the RUST_BACKTRACE=1 env
var set and include the backtrace in your report.

Platform: linux x86_64
Version: 2.1.6
Args: ["/home/cyan/.asdf/installs/deno/2.1.4/bin/deno", "./scrypt.js"]

thread 'tokio-runtime-worker' panicked at ext/node/ops/crypto/mod.rs:585:4:
called `Result::unwrap()` on an `Err` value: InvalidParams
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace

============================================================
Deno has panicked. This is a bug in Deno. Please report this
at https://github.com/denoland/deno/issues/new.
If you can reliably reproduce this panic, include the
reproduction steps and re-run with the RUST_BACKTRACE=1 env
var set and include the backtrace in your report.

Platform: linux x86_64
Version: 2.1.6
Args: ["/home/cyan/.asdf/installs/deno/2.1.4/bin/deno", "./scrypt.js"]

thread 'tokio-runtime-worker' panicked at ext/node/ops/crypto/mod.rs:585:4:
called `Result::unwrap()` on an `Err` value: InvalidParams
```

```shell 
$ node ./scrypt.js
hashed =  745731af4484f323968969eda289aeee005b5903ac561e64a5aca121797bf7734ef9fd58422e2e22183bcacba9ec87ba0c83b7a2e788f03ce0da06463433cda64176095fbbad7dc98c33fd75955b4b29c94f6e97617bd68d8ff17cf1ed5ad12f3fc6c8eb5b844f2d003ebaf5eaed19e8f665928472a6941f7efc6ebcdd6fd13a
hashed =  745731af4484f323968969eda289aeee005b5903ac561e64a5aca121797bf7734ef9fd58422e2e22183bcacba9ec87ba0c83b7a2e788f03ce0da06463433cda64176095fbbad7dc98c33fd75955b4b29c94f6e97617bd68d8ff17cf1ed5ad12f3fc6c8eb5b844f2d003ebaf5eaed19e8f665928472a6941f7efc6ebcdd6fd13a
```

Here:
https://github.com/denoland/deno/blob/57dd66ec3dae2a0fe376f6a43c476dfade421c84/ext/node/ops/crypto/mod.rs#L579-L585
The Result is unwrapped, and it will be an `Err` when len > 64
According to the Document here: https://docs.rs/scrypt/latest/scrypt/struct.Params.html#conditions

But the same thing works in Node.js, maybe deno need to consider some alternatives?
Repository: godot
Issue: Duplicating resources and editing them without saving stores incorrect data in them and inspector displays wrong data.
Labels: topic:editor,needs testing

### Tested versions

Reproducible in:
- v4.4.beta1.official [d33da79d3]
- v4.3.stable.official [77dcf97d8]
- v4.2.2.stable.official [15073afe3]

### System information

Godot v4.3.stable - Windows 10.0.19045 - GLES3 (Compatibility) - NVIDIA GeForce GTX 750 Ti (NVIDIA; 32.0.15.6094) - Intel(R) Core(TM) i5-6400 CPU @ 2.70GHz (4 Threads)

### Issue description

When setting up a resource, then duplicating that resource an setting it up (a few times) the resource file will have icorrect data in it but display the correct data in the editor. When the project is executed, the incorrect information will be used.

https://github.com/user-attachments/assets/4ab695f9-bf9a-4c32-a93a-72d2f485346a

### Steps to reproduce

1. Create a Shortcut resource.
2. Assign it an InputKeyEvent
3. Duplicate that resource
4. Edit that resource InputKeyEvent to be something new.
5. (..repeat 2 or 3 times)
6. Run project.

Shortcuts are assigned wrongly

**Note:** When creating the shortcuts directly (Create New -> Resource) this didn't happen. Issue only occours when duplicating (Ctrl+D).

The Minimal Reproduction Project can't be uploaded in its entirety since the editor will display the correctly stored data on reload.

### Minimal reproduction project (MRP)

[shortcut_saving.zip](https://github.com/user-attachments/files/18462889/shortcut_saving.zip)
Repository: tensorflow
Issue: TFnode on TensorflowonSpark 2.2.5
Labels: type:support,TF 2.12

I'm running some code on Microsoft Fabric, and I use the following line:
def map_fun(tf_args, ctx):
cluster, server = TFNode.start_cluster_server(ctx)
print('ctx')
if ctx.job_name == "ps":
server.join()
else:
print("Hello from worker", ctx.task_index)

I'm getting an error regarding TFnode, does anyone know why this could be?
TensorFlow version:2.12
TensorflowonSpark:2.2.5


The idea is to print a hello world to see if they are running on differents clusters.
Repository: ollama
Issue: Embedding Model: iamgroot42/rover_nexus
Labels: model request

Its the top model in MTEB Leaderboard.
Repository: terminal
Issue: First turn off the performance option Show window contents when dragging. Open a Windows terminal window and drag the right edge of the window to zoom out the window. Black lines are displayed in the original position.
Labels: Issue-Bug,Needs-Author-Feedback,Needs-Triage,No-Recent-Activity

### Windows Terminal version

1.21.3231.0

### Windows build number

10.0.26100.2894

### Other Software

_No response_

### Steps to reproduce

First turn off the performance option Show window contents when dragging. Open a Windows terminal window and drag the right edge of the window to zoom out the window. Black lines are displayed in the original position.

### Expected Behavior

No black line appears when the window is zoomed out.

### Actual Behavior

Open a Windows terminal window and drag the right edge of the window to zoom out the window. Black lines are displayed in the original position.
Repository: godot
Issue: play_backwards Cannot Play Loop Animations
Labels: bug,needs testing,topic:animation

### Tested versions

v4.4.beta1.official [4ce466d7f]

### System information

Windows 11 (build 22631) - Multi-window, 1 monitor - Vulkan (Forward+) - dedicated NVIDIA GeForce RTX 2050 (NVIDIA; 32.0.15.6109) - 12th Gen Intel(R) Core(TM) i5-12500H (16 threads)

### Issue description

I have encountered an issue where the `play_backwards()` method cannot play loop animations for models imported from Blender. When attempting to play these animations in reverse, they get stuck on the first frame, while all non-looping animations play correctly in reverse.


### Steps to reproduce

Play a looped animation backwards

### Minimal reproduction project (MRP)

N/A
Repository: terminal
Issue: Unable to Launch Windows Terminal via `wt.exe` or `windowsterminal.exe` After KB5050021 Update
Labels: Issue-Bug,Needs-Triage,Needs-Attention

### Windows Terminal version

1.21.3231.0

### Windows build number

22621.4751

### Other Software

_No response_

### Steps to reproduce

## Detailed Description
After applying the KB5050021 update on January 14, 2025, the Windows Terminal fails to launch when executed via:

- `wt.exe` in PowerShell, CMD, or VS Code integrated terminal.
- Direct execution of `windowsterminal.exe` in `C:\Program Files\WindowsApps\Microsoft.WindowsTerminal_1.21.3231.0_x64__8wekyb3d8bbwe`.

No error messages are displayed, and the process is not visible in `Task Manager` for long. The `WindowsTerminal.exe` process briefly appears in Task Manager but disappears after a couple of seconds. However, the terminal opens correctly when launched via its app icon in the Start menu.

---

## Steps to Reproduce
1. Update Windows 11 to build 22621.4751 via KB5050021.
2. Attempt to open Windows Terminal via `wt.exe` in a PowerShell or CMD window.
3. Alternatively, attempt to open `windowsterminal.exe` directly.
4. Observe that no terminal appears and no error messages are shown.

---

## Observations
- When launched via the app icon, the terminal works correctly.
- Running `Get-Process -Name *WindowsTerminal*, wt` after opening the terminal via the app icon shows `WindowsTerminal` as active. Running the same command after executing `wt.exe` returns no processes.
- When executing `wt.exe`, the `WindowsTerminal.exe` process briefly appears in Task Manager but disappears after a couple of seconds.
- The issue persists across the following environments:
  - Default PowerShell terminal.
  - CMD.
  - VS Code integrated terminal.
- Resetting, uninstalling, and reinstalling Windows Terminal, as well as running `sfc /scannow` and DISM commands, did not resolve the issue.

---

## Expected Behavior
`wt.exe` and `windowsterminal.exe` should launch Windows Terminal normally, as before the update.


## Additional Notes
The issue affects workflows that depend on scripting or terminal automation via `wt.exe`. This problem has been consistently reproducible and may affect other users who installed the KB5050021 update.


### Expected Behavior

## Expected Behavior
`wt.exe` and `windowsterminal.exe` should launch Windows Terminal normally, as before the update.

---

### Actual Behavior

No error messages are displayed, and the process is not visible in `Task Manager` for long. The `WindowsTerminal.exe` process briefly appears in Task Manager but disappears after a couple of seconds. However, the terminal opens correctly when launched via its app icon in the Start menu.
Repository: puppeteer
Issue: [Feature]: Keyboard and Pointer Lock API Permission type added
Labels: feature,P2,chrome,m133

### Feature description

Can we please get the new chrome v131 Keyboard and Pointer Lock permissions added?
https://pptr.dev/api/puppeteer.permission

Current workaround requires using v23.7.1 for chrome v130 browser.
https://pptr.dev/supported-browsers
https://developer.chrome.com/blog/keyboard-lock-pointer-lock-permission

We are currently unable to test our application on any version of puppeteer above v23.7.1

KeyboardLock and PointerLock were added to devtools-protocol in this commit (r1388031)

https://github.com/ChromeDevTools/devtools-protocol/commit/e3771a854976cb9579b78c03c58bef4d5c63ca93
Repository: tensorflow
Issue: Segmentation fault (core dumped) in `RaggedTensorToTensor`
Labels: 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

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?

On specific inputs, `tf.raw_ops.RaggedTensorToTensor` triggers crash.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

shape = tf.constant(-1, shape=[], dtype=tf.int64)
values = tf.constant(0, shape=[0], dtype=tf.int32)
default_value = tf.constant(0, shape=[], dtype=tf.int32)
row_partition_tensors = tf.constant([0, 1, 6], shape=[3], dtype=tf.int64)
row_partition_types = ["ROW_SPLITS"]

tf.raw_ops.RaggedTensorToTensor(
    shape=shape,
    values=values,
    default_value=default_value,
    row_partition_tensors=[row_partition_tensors],
    row_partition_types=row_partition_types)
```

### Relevant log output

```shell
Segmentation fault (core dumped)
```
Repository: ui
Issue: [feat]: I would like to request a change to the cookie name used in the sidebar component.
Labels: area: request

### Feature description

The current cookie name for the sidebar is as follows:

```
const SIDEBAR_COOKIE_NAME = "sidebar:state";
```

However, this cookie name causes a validation error in msw, making it unusable.

```
TypeError: argument name is invalid
```

In msw, cookie names are validated against the following regular expression:

msw.js

```
var cookieNameRegExp = /^[!#$%&'*+\-.^_`|~0-9A-Za-z]+$/;
 
      if (!cookieNameRegExp.test(name)) {
        throw new TypeError("argument name is invalid");
      }
```

The issue was resolved when I changed the cookie name to "sidebar-state".
Could you please adjust the cookie name to comply with this validation?
 Thank you!

### Affected component/components

Sidebar

### Additional Context

Additional details here...

### Before submitting

- [x] I've made research efforts and searched the documentation
- [x] I've searched for existing issues and PRs
Repository: tensorflow
Issue: Aborted  in `tf.raw_ops.RaggedGather`
Labels: 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

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?

On specific inputs, `tf.raw_ops.RaggedGather` triggers crash.

### Standalone code to reproduce the issue

```shell
params_nested_splits = tf.constant(0, shape=[3], dtype=tf.int64)
params_dense_values = tf.constant(1, shape=[0], dtype=tf.float32)
indices = tf.constant(0, shape=[], dtype=tf.int64)
OUTPUT_RAGGED_RANK = 1
PARAMS_RAGGED_RANK = 1

tf.raw_ops.RaggedGather(
    params_nested_splits=[params_nested_splits],
    params_dense_values=params_dense_values,
    indices=indices,
    OUTPUT_RAGGED_RANK=1,
    name=None
)
```

### Relevant log output

```shell
2025-01-18 09:30:00.549762: F tensorflow/core/framework/tensor.cc:844] Check failed: dtype() == expected_dtype (9 vs. 1) float expected, got int64
Aborted (core dumped)
```
Repository: vscode
Issue: Explorer not working as intended
Labels: info-needed


Type: <b>Bug</b>

The explorer doesnt show the folders and folder structure.

VS Code version: Code 1.96.4 (cd4ee3b1c348a13bafd8f9ad8060705f6d4b9cba, 2025-01-16T00:16:19.038Z)
OS version: Windows_NT x64 10.0.22631
Modes:

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

|Item|Value|
|---|---|
|CPUs|11th Gen Intel(R) Core(TM) i5-11300H @ 3.10GHz (8 x 3110)|
|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)|7.75GB (0.39GB free)|
|Process Argv|--crash-reporter-id f57f71a7-a455-4bb6-87be-c0f886d15903|
|Screen Reader|no|
|VM|0%|
</details><details><summary>Extensions (4)</summary>

Extension|Author (truncated)|Version
---|---|---
prettier-vscode|esb|11.0.0
copilot|Git|1.257.0
copilot-chat|Git|0.23.2
LiveServer|rit|5.7.9


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

```
vsliv368:30146709
vspor879:30202332
vspor708:30202333
vspor363:30204092
vscod805:30301674
binariesv615:30325510
vsaa593cf:30376535
py29gd2263:31024239
c4g48928:30535728
azure-dev_surveyone:30548225
962ge761:30959799
pythonnoceb:30805159
pythonmypyd1:30879173
2e7ec940:31000449
pythontbext0:30879054
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
dsvsc021:30996838
dvdeprecation:31068756
dwnewjupytercf:31046870
nativerepl1:31139838
pythonrstrctxt:31112756
nativeloc1:31192215
cf971741:31144450
iacca1:31171482
notype1cf:31157160
5fd0e150:31155592
dwcopilot:31170013
stablechunks:31184530
3d9ag387:31215808
6074i472:31201624
dwoutputs:31217127

```

</details>

<!-- generated by issue reporter -->
Repository: pytorch
Issue: Please add fp16 to MPS devices.
Labels: needs reproduction,triaged,module: amp (automated mixed precision),module: mps

### 🚀 The feature, motivation and pitch

I used torch==2.7 to train llama via huggingface transformers,but
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00,  9.00it/s]
trainable params: 4,194,304 || all params: 6,933,450,752 || trainable%: 0.0605
Traceback (most recent call last):
  File "/Users/rbhan/Data/StellAIHub/Train/LanguageModel/xmt.py", line 115, in <module>
    trainer = Trainer(
              ^^^^^^^^
  File "/Users/rbhan/Data/AIHub/Trans-Penv/transformers/src/transformers/utils/deprecation.py", line 165, in wrapped_func
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/Users/rbhan/Data/AIHub/Trans-Penv/transformers/src/transformers/trainer.py", line 459, in __init__
    self.create_accelerator_and_postprocess()
  File "/Users/rbhan/Data/AIHub/Trans-Penv/transformers/src/transformers/trainer.py", line 5071, in create_accelerator_and_postprocess
    self.accelerator = Accelerator(**args)
                       ^^^^^^^^^^^^^^^^^^^
  File "/Users/rbhan/Data/AIHub/Trans-Penv/accelerate/src/accelerate/accelerator.py", line 495, in __init__
    raise ValueError(f"fp16 mixed precision requires a GPU (not {self.device.type!r}).")
ValueError: fp16 mixed precision requires a GPU (not 'mps').


### Alternatives

So when can pytorch support fp16 on MPS?I have waited for one year,but no solution.Thank you!

### Additional context

_No response_

cc @mcarilli @ptrblck @leslie-fang-intel @jgong5 @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen
Repository: tensorflow
Issue: Aborted in ` tf.nn.conv3d_transpose`
Labels: stat:awaiting response,type:bug,comp:apis,comp:ops,TF 2.16

### Issue type

Bug

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

No

### Source

source

### TensorFlow version

tf 2.16.1

### Custom code

Yes

### OS platform and distribution

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?

On specific inputs, `tf.nn.conv3d_transpose` triggers crash. 

### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/drive/1wA5pUfm4HpNpHx-PawrZt4CKS2YCUR-4?usp=sharing
```

### Relevant log output

```shell
2025-01-18 11:31:33.696896: F tensorflow/core/common_runtime/mkl_layout_pass.cc:2754] Non-OK-status: GetNodeAttr(orig_node->def(), "strides", &strides) status: INVALID_ARGUMENT: Attr strides has value 5717580618211388939 out of range for an int32
Aborted (core dumped)
```
Repository: godot
Issue: project manager unable to resolve icon referenced by uid before import
Labels: bug,topic:editor

### Tested versions

4.4-beta1

### System information

(Native)
Godot v4.4.beta1 - Windows 10 (build 19045) - Multi-window, 2 monitors - OpenGL 3 (Compatibility) - NVIDIA GeForce RTX 4070 (NVIDIA; 32.0.15.6636) - AMD Ryzen 9 3950X 16-Core Processor (32 threads)

(WSL2 on above system)
Godot v4.4.beta1 - Ubuntu 24.04.1 LTS 24.04 - X11 display driver, Multi-window, 2 monitors - OpenGL 3 (Compatibility) - D3D12 (NVIDIA GeForce RTX 4070) - AMD Ryzen 9 3950X 16-Core Processor (32 threads)

### Issue description

The project manager is unable to resolve an icon referenced by uid before first import:
```
ERROR: Unrecognized UID: "uid://b3xkos3u4jns4".
   at: get_id_path (core/io/resource_uid.cpp:157)
ERROR: Error opening file ''.
   at: load_image (core/io/image_loader.cpp:89)
```


### Steps to reproduce

open project manager
import MRP without "Edit Now"
-> no icon, errors in console

### Minimal reproduction project (MRP)

[icontest44b1.zip](https://github.com/user-attachments/files/18464271/icontest44b1.zip)