name: gitStream workflow automation
run-name: |
  /:\ gitStream: PR #${{ fromJSON(fromJSON(github.event.inputs.client_payload)).pullRequestNumber }} from ${{ github.event.inputs.full_repository }}

on:
  workflow_dispatch:
    inputs:
      client_payload:
        description: The Client payload
        required: true
      full_repository:
        description: the repository name include the owner in `owner/repo_name` format

    token = token
)

/**
 * Implicit dispatch receiver is present when an extension function declared in object
 * is imported somewhere else and used without directly referencing the object instance
 * itself:
 *
 * ```kt
 * import Foo.bar
 *
 * object Foo { fun String.bar() {} }
 *
 * fun usage() {
 *   "hello".bar() // this call has implicit 'Foo' dispatch receiver
 * }
 * ```
 */

name: Submit Dependency Graph
on:
  workflow_dispatch:
  push:
    branches:
      - master

permissions:
  contents: write

jobs:
  generate-and-submit:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4
    - uses: actions/setup-java@v4
      with:
        distribution: temurin
        java-version: 11
    - name: Setup Gradle
      uses: gradle/actions/dependency-submission@v3
      with:

            }

            /**
             * Returns correct importable name for implicitly dispatched callable - that is, a callable
             * which has a dispatch receiver, but whose dispatch receiver is present implicitly. The most
             * important case for that is the following:
             *
             * ```kt
             * import MyObject.bar

        event.setTrace(trace);
        event.setArtifact(artifact);
        event.setException(exception);

        repositoryEventDispatcher.dispatch(event.build());
    }

    private void invalidDescriptor(
            RepositorySystemSession session, RequestTrace trace, Artifact artifact, Exception exception) {

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:

            when (explicitReceiverKind) {
                ExplicitReceiverKind.DISPATCH_RECEIVER -> {
                    checkWithAttachment(
                        dispatchReceiver != null,
                        { "Dispatch receiver must be not null if explicitReceiverKind is DISPATCH_RECEIVER" }
                    ) {
                        withPsiEntry("explicitReceiverPsi", explicitReceiverPsi)

        event.setTrace(trace);
        event.setMetadata(metadata);
        event.setException(exception);
        event.setRepository(repository);

        repositoryEventDispatcher.dispatch(event.build());
    }

   */
  @Test
  fun canceledBeforeIOSignalsOnFailure() {
    // Force requests to be executed serially.
    val dispatcher = Dispatcher(client.dispatcher.executorService)
    dispatcher.maxRequests = 1
    client =
      client.newBuilder()
        .dispatcher(dispatcher)
        .build()
    val requestA = Request(server.url("/a"))
    val requestB = Request(server.url("/b"))

---

"_**Netflix**는 우리의 오픈 소스 배포판인 **위기 관리** 오케스트레이션 프레임워크를 발표할 수 있어 기쁩니다: 바로 **Dispatch**입니다! [**FastAPI**로 빌드]_"

<div style="text-align: right; margin-right: 10%;">Kevin Glisson, Marc Vilanova, Forest Monsen - <strong>넷플릭스</strong> <a href="https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072" target="_blank"><small>(ref)</small></a></div>

---

"_**FastAPI**가 너무 좋아서 구름 위를 걷는듯 합니다. 정말 즐겁습니다!_"