name: Publish

on:
  release:
    types:
      - created

jobs:
  publish:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    permissions:
      id-token: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4

					}
				} else {
					if err := job.Replicate.Start(job.ctx, j.objLayer, *job); err != nil {
						if !isErrBucketNotFound(err) {
							batchLogIf(j.ctx, err)
							j.canceler(job.ID, false)
							continue
						}
						// Bucket not found proceed to delete such a job.
					}
				}
			case job.KeyRotate != nil:
				if err := job.KeyRotate.Start(job.ctx, j.objLayer, *job); err != nil {

name: Test Redistribute

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize

jobs:
  test-redistribute:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}

  schedule:
    - cron: '45 9 * * 0'
  push:
    branches: [ "master" ]

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    name: Scorecard analysis
    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write

// ----------
// This implementation of the PUT operation adds an object to a bucket
// while reading the object from another source.
// Notice: The S3 client can send secret keys in headers for encryption related jobs,
// the handler should ensure to remove these keys before sending them to the object layer.
// Currently these keys are:
//   - X-Amz-Server-Side-Encryption-Customer-Key

        classification.

*   `tf.data`:

    *   Added support for cross-trainer data caching in tf.data service. This
        saves computation resources when concurrent training jobs train from the
        same dataset. See
        (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers)
        for more details.

	if value := env.Get(config.EnvMinIOPrometheusURL, ""); value != "" {
		os.Setenv("CONSOLE_PROMETHEUS_URL", value)
		if value := env.Get(config.EnvMinIOPrometheusJobID, "minio-job"); value != "" {
			os.Setenv("CONSOLE_PROMETHEUS_JOB_ID", value)
			// Support additional labels for more granular filtering.
			if value := env.Get(config.EnvMinIOPrometheusExtraLabels, ""); value != "" {

		bootstrapTrace("globalTransitionState.Init", func() {
			globalTransitionState.Init(newObject)
		})

		// Initialize batch job pool.
		bootstrapTrace("newBatchJobPool", func() {
			globalBatchJobPool = newBatchJobPool(GlobalContext, newObject, 100)
		})

		// Initialize the license update job
		bootstrapTrace("initLicenseUpdateJob", func() {
			initLicenseUpdateJob(GlobalContext, newObject)
		})

* 🔨 Add MkDocs hook that renames sections based on the first index file. PR [#9737](https://github.com/tiangolo/fastapi/pull/9737) by [@tiangolo](https://github.com/tiangolo).
* 👷 Make cron jobs run only on main repo, not on forks, to avoid error notifications from missing tokens. PR [#9735](https://github.com/tiangolo/fastapi/pull/9735) by [@tiangolo](https://github.com/tiangolo).

### Example Tools to Run at Startup

Some examples of the tools that can do this job are:

* Docker
* Kubernetes
* Docker Compose
* Docker in Swarm Mode
* Systemd
* Supervisor
* Handled internally by a cloud provider as part of their services
* Others...