default: false
      max:
        description: Maximum number of items to translate (e.g. 10)
        type: number
        required: false
        default: 10

jobs:
  langs:
    runs-on: ubuntu-latest
    outputs:
      langs: ${{ steps.show-langs.outputs.langs }}
      commands: ${{ steps.show-langs.outputs.commands }}
    steps:
      - uses: actions/checkout@v6
      - name: Set up Python

    * Pydantic permet aussi de le représenter sous la forme d'un « encodage de différence de temps ISO 8601 », [voir la documentation pour plus d'informations](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset` :
    * Dans les requêtes et les réponses, traité de la même manière qu'un `set` :

        triggerName = "QuickFeedback",
    ) {
    init {
        id("Promotion_SnapshotFromQuickFeedback")
        name = "Nightly Snapshot (from QuickFeedback)"
        description = "Promotes the latest successful changes on '${branch.branchName}' from Quick Feedback as a new nightly snapshot"
    }

        required: false
        default: "false"

jobs:
  job:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

        required: false
        default: "false"

jobs:
  job:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

    paths:
      - CITATION.cff

permissions:
  contents: read

jobs:
  validate:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: "validate"
    runs-on: ubuntu-latest
    steps:
      - name: Check out a copy of the repository
        uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1

      - name: Check whether the citation metadata from CITATION.cff is valid

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1

typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.12.0.dev
tb-nightly ~= 2.20.0.a

name: Check closed issue release notes

on:
  issues:
    types: [ closed ]

permissions: {}

jobs:
  check_release_notes:
    permissions:
      issues: write
    runs-on: ubuntu-latest
    steps:
      # Check that release-note-worthy issues have a PR with release notes attached

name: "Issue Labeler"
on:
  issues:
    types: [opened, edited, reopened]
  pull_request:
    types: [opened, edited, reopened]

jobs:
  triage:
    runs-on: ubuntu-latest
    name: Label issues and pull requests
    steps:
      - name: check out
        uses: actions/checkout@v4

      - name: labeler
        uses: jinzhu/super-labeler-action@develop
        with: