jobs:
  changes:
    runs-on: ubuntu-latest
    # Required permissions
    permissions:
      pull-requests: read
    # Set job outputs to values from filter step
    outputs:
      src: ${{ steps.filter.outputs.src }}
    steps:
    - uses: actions/checkout@v6
    # For pull requests it's not necessary to checkout the code but for the main branch it is
    - uses: dorny/paths-filter@v4
      id: filter

    testDecodeOnly(
      unicode = "ليهمابتكلموشعربي؟",
      punycode = "Xn--EgBpDaJ6Bu4bXfGeHfVwXn",
    )
  }

  /**
   * It's invalid to have a label longer than 63 characters. If that's requested, the encoder may
   * overflow and return null.
   */
  @Test fun overflowEncodingOversizedLabel() {
    val a1000 = "a".repeat(1000)
    val a1000MaxCodePoint = a1000 + "\udbff\udfff"
    testEncodeDecode(

/// note | Technical Details

An `async` task can only be cancelled when it reaches an `await`. If there is no `await`, the generator (function with `yield`) can not be cancelled properly and may keep running even after cancellation is requested.

Since this small example does not need any `await` statements, we add an `await anyio.sleep(0)` to give the event loop a chance to handle cancellation.

This would be even more important with large or infinite streams.

// IsSet will return whether the singleton has been set.
func (s *Singleton[T]) IsSet() bool {
	select {
	case <-s.set:
		return true
	default:
		return false
	}
}

// Set the value and unblock all Get requests.
// This may only be called once, a second call will panic.
func (s *Singleton[T]) Set(v *T) {
	s.v = v
	close(s.set)

#ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_
#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one
// which creates a remote input, to simulate a scenario that the remote input
// is not ready when we start running an op or a function.
void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,

// Creates a new in-process TensorFlow server configured using a serialized
// ServerDef protocol buffer provided via `proto` and `proto_len`.
//
// The server will not serve any requests until TF_ServerStart is invoked.
// The server will stop serving requests once TF_ServerStop or
// TF_DeleteServer is invoked.
TF_CAPI_EXPORT extern TF_Server* TF_NewServer(const void* proto,
                                              size_t proto_len,

            "The system cannot find the file specified.", "Bad password.", "The system cannot find the path specified.", "reserved",
            "The client does not have the necessary access rights to perform the requested function.", "Access is denied.",
            "The TID specified was invalid.", "The handle is invalid.", "The network name cannot be found.",

            "The system cannot find the file specified.", "Bad password.", "The system cannot find the path specified.", "reserved",
            "The client does not have the necessary access rights to perform the requested function.", "Access is denied.",
            "The TID specified was invalid.", "The handle is invalid.", "The network name cannot be found.",

on:
  schedule:
  - cron: "*/10 * * * *"

permissions:
  contents: read

jobs:
  stale:
    permissions:
      issues: write  # for actions/stale to close stale issues
      pull-requests: write  # for actions/stale to close stale PRs
    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v9
      with:

on:
  schedule:
  - cron: "*/10 * * * *"

permissions:
  contents: read

jobs:
  stale:
    permissions:
      issues: write  # for actions/stale to close stale issues
      pull-requests: write  # for actions/stale to close stale PRs
    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v9
      with: