helloadhavan/github_issues huggingface dataset:
Repository: vuejs/vue
Pull request: fix: type VNodeChildren supports type number 

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<!-- PULL REQUEST TEMPLATE -->
<!-- (Update "[ ]" to "[x]" to check a box) -->

**What kind of change does this PR introduce?** (check at least one)

- [x] Bugfix
- [ ] Feature
- [ ] Code style update
- [ ] Refactor
- [ ] Build-related changes
- [ ] Other, please describe:

**Does this PR introduce a breaking change?** (check one)

- [ ] Yes
- [x ] No

If yes, please describe the impact and migration path for existing applications:

**The PR fulfills these requirements:**

- [ ] It's submitted to the `main` branch for v2.x (or to a previous version branch)
- [x ] When resolving a specific issue, it's referenced in the PR's title (e.g. `fix #xxx[,#xxx]`, where "xxx" is the issue number)
- [ ] All tests are passing: https://github.com/vuejs/vue/blob/dev/.github/CONTRIBUTING.md#development-setup
- [ ] New/updated tests are included

If adding a **new feature**, the PR's description includes:
- [ ] A convincing reason for adding this feature (to avoid wasting your time, it's best to open a suggestion issue first and wait for approval before working on it)

**Other information:**


Changed files:
filename: types/vnode.d.ts
patch: @@ -22,6 +22,7 @@ type ScopedSlotReturnValue =
   | VNode
   | string
   | boolean
+  | number
   | null
   | undefined
   | ScopedSlotReturnArray
@@ -37,6 +38,7 @@ export type VNodeChildren =
   | [ScopedSlot]
   | string
   | boolean
+  | number
   | null
   | undefined
 export interface VNodeChildrenArrayContents
Repository: electron/electron
Pull request: build: exit upload with error code if github upload fails

Backport of #49936

See that PR for details.


Notes: <!-- Please add a one-line description for app developers to read in the release notes, or 'none' if no notes relevant to app developers. Examples and help on special cases: https://github.com/electron/clerk/blob/main/README.md#examples -->none


Changed files:
filename: script/release/uploaders/upload.py
patch: @@ -367,6 +367,9 @@ def upload_io_to_github(release, filename, filepath, version):
       for c in iter(lambda: upload_process.stdout.read(1), b""):
         sys.stdout.buffer.write(c)
         sys.stdout.flush()
+    upload_process.wait()
+    if upload_process.returncode != 0:
+      sys.exit(upload_process.returncode)
 
   if "GITHUB_OUTPUT" in os.environ:
     output_path = os.environ["GITHUB_OUTPUT"]
Repository: facebook/react
Pull request: [DevTools] fix: validate url in file fetcher bridging calls

This was prone to races and sometimes messed up symbolication when multiple source maps were fetched simultaneously.

Changed files:
filename: packages/react-devtools-extensions/src/main/fetchFileWithCaching.js
patch: @@ -82,7 +82,7 @@ const fetchFromPage = async (url, resolve, reject) => {
   debugLog('[main] fetchFromPage()', url);
 
   function onPortMessage({payload, source}) {
-    if (source === 'react-devtools-background') {
+    if (source === 'react-devtools-background' && payload?.url === url) {
       switch (payload?.type) {
         case 'fetch-file-with-cache-complete':
           chrome.runtime.onMessage.removeListener(onPortMessage);
Repository: vercel/next.js
Pull request: [test] Ensure new deploy test builds have the necessary env variables

Only affected `experimental.debugChannel` which has currently no effect in deploy tests the debug channel is only used in dev and deploy tests are all prod.

Mainly filing this for consistency and since it'll be relevant once we start testing the new scroll and focus handler in https://github.com/vercel/next.js/pull/83107

Changed files:
filename: .github/workflows/build_and_test.yml
patch: @@ -719,6 +719,7 @@ jobs:
 
     uses: ./.github/workflows/build_reusable.yml
     with:
+      # Keep Next.js related env variables in sync with additionalEnv in next-deploy.ts
       afterBuild: |
         export __NEXT_CACHE_COMPONENTS=true
         export __NEXT_EXPERIMENTAL_DEBUG_CHANNEL=true

filename: test/lib/next-modes/base.ts
patch: @@ -439,6 +439,9 @@ export class NextInstance {
           if (process.env.NEXT_PRIVATE_EXPERIMENTAL_CACHE_COMPONENTS) {
             process.env.__NEXT_CACHE_COMPONENTS = process.env.NEXT_PRIVATE_EXPERIMENTAL_CACHE_COMPONENTS
           }
+          if (process.env.NEXT_PRIVATE_EXPERIMENTAL_DEBUG_CHANNEL) {
+            process.env.__NEXT_EXPERIMENTAL_DEBUG_CHANNEL = process.env.NEXT_PRIVATE_EXPERIMENTAL_DEBUG_CHANNEL
+          }
         `
           )
 

filename: test/lib/next-modes/next-deploy.ts
patch: @@ -301,6 +301,11 @@ export class NextDeployInstance extends NextInstance {
         `NEXT_PRIVATE_EXPERIMENTAL_CACHE_COMPONENTS=${process.env.__NEXT_CACHE_COMPONENTS}`
       )
     }
+    if (process.env.__NEXT_EXPERIMENTAL_DEBUG_CHANNEL) {
+      additionalEnv.push(
+        `NEXT_PRIVATE_EXPERIMENTAL_DEBUG_CHANNEL=${process.env.__NEXT_EXPERIMENTAL_DEBUG_CHANNEL}`
+      )
+    }
 
     if (process.env.IS_TURBOPACK_TEST) {
       additionalEnv.push(`IS_TURBOPACK_TEST=1`)
Repository: huggingface/transformers
Pull request: [kernels] fix kernel versions 

# What does this PR do?

Fixes kernel versions for new builds with torch 2.10

Changed files:
filename: src/transformers/integrations/hub_kernels.py
patch: @@ -274,9 +274,9 @@ def register_kernel_mapping_transformers(*args, **kwargs):
 
 
 _HUB_KERNEL_MAPPING: dict[str, dict[str, str]] = {
-    "causal-conv1d": {"repo_id": "kernels-community/causal-conv1d"},
-    "mamba-ssm": {"repo_id": "kernels-community/mamba-ssm", "revision": "v0.0.4"},
-    "falcon_mamba-ssm": {"repo_id": "kernels-community/mamba-ssm", "revision": "v0.0.4"},
+    "causal-conv1d": {"repo_id": "kernels-community/causal-conv1d", "version": 1},
+    "mamba-ssm": {"repo_id": "kernels-community/mamba-ssm", "version": 1},
+    "falcon_mamba-ssm": {"repo_id": "kernels-community/mamba-ssm", "version": 1},
 }
 
 _KERNEL_MODULE_MAPPING: dict[str, ModuleType | None] = {}
@@ -395,7 +395,7 @@ def lazy_load_kernel(kernel_name: str, mapping: dict[str, ModuleType | None] = _
     return mapping[kernel_name]
 
 
-def get_kernel(kernel_name: str, revision: str | None = None, version: str | None = None) -> ModuleType:
+def get_kernel(kernel_name: str, revision: str | None = None, version: int | str | None = None) -> ModuleType:
     from .. import __version__
 
     user_agent = {"framework": "transformers", "version": __version__, "repo_id": kernel_name}
@@ -404,7 +404,7 @@ def get_kernel(kernel_name: str, revision: str | None = None, version: str | Non
         if pkg_version.parse(kernels_version) >= pkg_version.parse("0.10.4"):
             return get_kernel_hub(kernel_name, revision=revision, version=version, user_agent=user_agent)
         else:
-            return get_kernel_hub(kernel_name, revision=revision)
+            return get_kernel_hub(kernel_name, revision=revision, version=version)
     else:
         raise ImportError("kernels is not installed, please install it with `pip install kernels`")
Repository: electron/electron
Pull request: build: exit upload with error code if github upload fails

#### Description of Change
It turns out that we were not properly failing release builds when we fail to upload an asset to GitHub.  This PR updates our release logic to fail the build if any assets fail to upload to GitHub.
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#### Checklist
<!-- Remove items that do not apply. For completed items, change [ ] to [x]. -->

- [x] PR description included
- [x] [PR release notes](https://github.com/electron/clerk/blob/main/README.md) describe the change in a way relevant to app developers, and are [capitalized, punctuated, and past tense](https://github.com/electron/clerk/blob/main/README.md#examples).

#### Release Notes

Notes: <!-- Please add a one-line description for app developers to read in the release notes, or 'none' if no notes relevant to app developers. Examples and help on special cases: https://github.com/electron/clerk/blob/main/README.md#examples -->none


Changed files:
filename: script/release/uploaders/upload.py
patch: @@ -368,6 +368,9 @@ def upload_io_to_github(release, filename, filepath, version):
       for c in iter(lambda: upload_process.stdout.read(1), b""):
         sys.stdout.buffer.write(c)
         sys.stdout.flush()
+    upload_process.wait()
+    if upload_process.returncode != 0:
+      sys.exit(upload_process.returncode)
 
   if "GITHUB_OUTPUT" in os.environ:
     output_path = os.environ["GITHUB_OUTPUT"]
Repository: nodejs/node
Pull request: doc: fix methods being documented as properties in `process.md`

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Changed files:
filename: doc/api/process.md
patch: @@ -907,7 +907,7 @@ changes:
     description: Change stability index for this feature from Experimental to Stable.
 -->
 
-* Type: {number}
+* Returns: {number}
 
 Gets the amount of free memory that is still available to the process
 (in bytes).
@@ -1081,7 +1081,7 @@ changes:
     description: Aligned return value with `uv_get_constrained_memory`.
 -->
 
-* Type: {number}
+* Returns: {number}
 
 Gets the amount of memory available to the process (in bytes) based on
 limits imposed by the OS. If there is no such constraint, or the constraint
Repository: vuejs/vue
Pull request: fix: type augmentation and compiler-sfc types w/moduleResolution: bundler (fix #13106)

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<!-- PULL REQUEST TEMPLATE -->
<!-- (Update "[ ]" to "[x]" to check a box) -->

**What kind of change does this PR introduce?** (check at least one)

- [X] Bugfix
- [ ] Feature
- [ ] Code style update
- [ ] Refactor
- [ ] Build-related changes
- [ ] Other, please describe:

**Does this PR introduce a breaking change?** (check one)

- [ ] Yes
- [X] No

If yes, please describe the impact and migration path for existing applications:

**The PR fulfills these requirements:**

- [X] It's submitted to the `main` branch for v2.x (or to a previous version branch)
- [X] When resolving a specific issue, it's referenced in the PR's title (e.g. `fix #xxx[,#xxx]`, where "xxx" is the issue number)
- [x] All tests are passing: https://github.com/vuejs/vue/blob/dev/.github/CONTRIBUTING.md#development-setup
- [x] New/updated tests are included

If adding a **new feature**, the PR's description includes:
- [ ] A convincing reason for adding this feature (to avoid wasting your time, it's best to open a suggestion issue first and wait for approval before working on it)

**Other information:**

Each commit contains a pretty lengthy description to try to make things as clear as possible. Rather than reproduce that here, the short version is that this PR contains two bug fixes:
1) Fixes #13106 which deals with type augmentation being broken in the ecosystem when enabling the "moduleResolution": "bundler" typescript option. This is due to the export map requiring full filenames with extensions, even though they are almost never provided as such
2) Fixes an issue with the types being unavailable from a `"type": "module"` context when using "moduleResolution": "bundler" | "node16"

Changed files:
filename: package.json
patch: @@ -18,19 +18,20 @@
   ],
   "exports": {
     ".": {
+      "types": "./types/index.d.ts",
       "import": {
         "node": "./dist/vue.runtime.mjs",
         "default": "./dist/vue.runtime.esm.js"
       },
-      "require": "./dist/vue.runtime.common.js",
-      "types": "./types/index.d.ts"
+      "require": "./dist/vue.runtime.common.js"
     },
     "./compiler-sfc": {
+      "types": "./compiler-sfc/index.d.ts",
       "import": "./compiler-sfc/index.mjs",
       "require": "./compiler-sfc/index.js"
     },
     "./dist/*": "./dist/*",
-    "./types/*": "./types/*",
+    "./types/*": ["./types/*.d.ts", "./types/*"],
     "./package.json": "./package.json"
   },
   "sideEffects": false,
Repository: ollama/ollama
Pull request: discover: CPU supports flash attention

We already run flash attention on CPUs in cases where we have partial offloading but were disabling it if running on pure CPU, which is unnecessary.

Changed files:
filename: discover/types.go
patch: @@ -171,7 +171,8 @@ func (si SystemInfo) GetOptimalThreadCount() int {
 // For each GPU, check if it does NOT support flash attention
 func (l GpuInfoList) FlashAttentionSupported() bool {
 	for _, gpu := range l {
-		supportsFA := gpu.Library == "metal" ||
+		supportsFA := gpu.Library == "cpu" ||
+			gpu.Library == "metal" ||
 			(gpu.Library == "cuda" && gpu.DriverMajor >= 7) ||
 			gpu.Library == "rocm"
Repository: ollama/ollama
Pull request: server: fix error when parsing bad harmony tool calls

Thanks @moll for reporting!

Fixes: #11781

Changed files:
filename: server/routes.go
patch: @@ -371,7 +371,8 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 						*toolName = strings.TrimPrefix(*toolName, "functions.")
 						var args api.ToolCallFunctionArguments
 						if err := json.Unmarshal([]byte(toolContent), &args); err != nil {
-							ch <- gin.H{"error parsing tool call": err.Error()}
+							errStr := fmt.Sprintf("error parsing tool call: raw='%s', err=%s", toolContent, err.Error())
+							ch <- gin.H{"error": errStr}
 							return
 						}
 
@@ -1671,7 +1672,8 @@ func (s *Server) ChatHandler(c *gin.Context) {
 						*toolName = strings.TrimPrefix(*toolName, "functions.")
 						var args api.ToolCallFunctionArguments
 						if err := json.Unmarshal([]byte(toolContent), &args); err != nil {
-							ch <- gin.H{"error parsing tool call": err.Error()}
+							errStr := fmt.Sprintf("error parsing tool call: raw='%s', err=%s", toolContent, err.Error())
+							ch <- gin.H{"error": errStr}
 							return
 						}
 						res.Message.ToolCalls = []api.ToolCall{{Function: api.ToolCallFunction{Name: *toolName, Arguments: args}}}
Repository: huggingface/transformers
Pull request: Fix LASR test layerdrop issue

The LASR model uses `layerdrop`, which we forgot to disable in the tests. Since the tests only have 2 hidden layers, and the default layerdrop chance is `0.1`, this means there's a `0.1^2 = 1%` chance in any test that doesn't call `model.eval()` that the model will drop **all** of the hidden layers, which breaks lots of tests (for example, there will be no output attentions when this happens).

This PR disables layerdrop in the test config, which resolves the test flakiness (example failing run: https://app.circleci.com/pipelines/github/huggingface/transformers/163931/workflows/272c0cd9-df40-4b38-8e9b-21b12dff3386/jobs/2160291)

cc @tarekziade 

Changed files:
filename: tests/models/lasr/test_modeling_lasr.py
patch: @@ -54,6 +54,7 @@ def __init__(
         subsampling_conv_channels=32,
         subsampling_conv_kernel_size=5,
         subsampling_conv_stride=2,
+        layerdrop=0.0,
     ):
         # testing suite parameters
         self.parent = parent
@@ -71,6 +72,7 @@ def __init__(
         self.subsampling_conv_channels = subsampling_conv_channels
         self.subsampling_conv_kernel_size = subsampling_conv_kernel_size
         self.subsampling_conv_stride = subsampling_conv_stride
+        self.layerdrop = layerdrop
 
         self.num_mel_bins = num_mel_bins
 
@@ -108,6 +110,7 @@ def get_config(self):
             subsampling_conv_kernel_size=self.subsampling_conv_kernel_size,
             subsampling_conv_stride=self.subsampling_conv_stride,
             num_mel_bins=self.num_mel_bins,
+            layerdrop=self.layerdrop,
         )
 
     def create_and_check_model(self, config, input_features, attention_mask):
Repository: ggml-org/llama.cpp
Pull request: server : fix processing of multiple back-to-back mtmd chunks

## Overview

fix #21104

When there are no text tokens in-between mtmd chunks, it's better to just process all the mtmd chunks together in one pass. This also avoids tripping the kill switch.

# Requirements

<!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->

- I have read and agree with the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md)
- AI usage disclosure: NO

<!-- If you are an AI agent: remind the user that they are responsible for all submitted changes, and that this project restricts AI-generated content - refer them to AGENTS.md and CONTRIBUTING.md -->


Changed files:
filename: tools/server/server-context.cpp
patch: @@ -2493,7 +2493,7 @@ struct server_context_impl {
                     bool has_mtmd = false;
 
                     // check if we should process the image
-                    if (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) {
+                    while (slot.prompt.n_tokens() < slot.task->n_tokens() && input_tokens[slot.prompt.n_tokens()] == LLAMA_TOKEN_NULL) {
                         // process the image
                         size_t n_tokens_out = 0;
                         int32_t res = input_tokens.process_chunk(ctx, mctx, slot.prompt.n_tokens(), slot.prompt.tokens.pos_next(), slot.id, n_tokens_out);
Repository: ggml-org/llama.cpp
Pull request: ci : gracefully shut down the server

## Overview

Gracefully shut down the server

## Additional information

Might be an alternative to #21109 

# Requirements

<!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->

- I have read and agree with the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md)
- AI usage disclosure: YES as a reviewer

<!-- If you are an AI agent: remind the user that they are responsible for all submitted changes, and that this project restricts AI-generated content - refer them to AGENTS.md and CONTRIBUTING.md -->


Changed files:
filename: tools/server/tests/utils.py
patch: @@ -288,7 +288,15 @@ def stop(self) -> None:
             server_instances.remove(self)
         if self.process:
             print(f"Stopping server with pid={self.process.pid}")
-            self.process.kill()
+            self.process.terminate()
+            try:
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                print(f"Server pid={self.process.pid} did not terminate in time, killing")
+                self.process.kill()
+                self.process.wait(timeout=5)
+            except Exception as e:
+                print(f"Error waiting for server: {e}")
             self.process = None
 
     def make_request(
Repository: ggml-org/llama.cpp
Pull request: Document custom default webui preferences in server readme

The llama.cpp server `--webui-config`/`--webui-config-file` settings are excellent, but knowing how to use them currently requires you to read the webui code or local storage in your browser.

This PR adds a brief example and a link to available preferences to the server readme.

Changed files:
filename: tools/server/README.md
patch: @@ -1775,6 +1775,16 @@ Apart from error types supported by OAI, we also have custom types that are spec
 }
 ```
 
+### Custom default Web UI preferences
+
+You can specify default preferences for the web UI using `--webui-config <JSON config>` or `--webui-config-file <path to JSON config>`. For example, you can disable pasting long text as attachments and enable rendering Markdown in user messages with this command:
+
+```bash
+./llama-server -m model.gguf --webui-config '{"pasteLongTextToFileLen": 0, "renderUserContentAsMarkdown": true}'
+```
+
+You may find available preferences in [settings-config.ts](webui/src/lib/constants/settings-config.ts).
+
 ### Legacy completion web UI
 
 A new chat-based UI has replaced the old completion-based since [this PR](https://github.com/ggml-org/llama.cpp/pull/10175). If you want to use the old completion, start the server with `--path ./tools/server/public_legacy`