return false
	}
	return true
}

// Validate checks if sf is a valid batch-job size filter
func (sf BatchJobSizeFilter) Validate() error {
	if sf.LowerBound > 0 && sf.UpperBound > 0 && sf.LowerBound >= sf.UpperBound {
		return BatchJobYamlErr{
			line: sf.line,
			col:  sf.col,
			msg:  "invalid batch-job size filter",
		}
	}
	return nil
}

					}
				} 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: CI

on:
  push:
    branches:
      - master
  pull_request:
    branches:
      - master

permissions:
  contents: read

jobs:
  test:
    permissions:
      actions: write  # for styfle/cancel-workflow-action to cancel/stop running workflows
      contents: read  # for actions/checkout to fetch code
    name: "${{ matrix.root-pom }} on JDK ${{ matrix.java }} on ${{ matrix.os }}"
    strategy:
      matrix:

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 ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

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 ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

)

// Start the batch key rottion job, resumes if there was a pending job via "job.ID"
func (r *BatchJobKeyRotateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),
		StartTime: job.Started,
	}
	if err := ri.loadOrInit(ctx, api, job); err != nil {
		return err
	}
	if ri.Complete {
		return nil

name: "Conflict detector"
on:
  push:
  pull_request_target:
    types: [synchronize]

jobs:
  main:
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - name: Check if PRs have merge conflicts
        uses: eps1lon/actions-label-merge-conflict@v3
        with:
          dirtyLabel: "conflicts"
          repoToken: "${{ secrets.GITHUB_TOKEN }}"

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@v5

name: "Check markdown links"

on:
  push:
    branches:
      - master
  pull_request:
  workflow_dispatch:

permissions: {}

jobs:
  check-links:
    permissions:
      contents: read
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v5

      - name: Check links
        uses: lycheeverse/lychee-action@v2.6.1
        with:
          # excluded:

# ==============================================================================

name: cffconvert

on:
  push:
    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