name: Java CI with Maven

on:
  push:
    branches:
    - master
    - "*.x"
  pull_request:
    branches:
    - master
    - "*.x"

jobs:
  build:

    runs-on: ubuntu-latest
    env:
      PARENT_BRANCH: main

    steps:
    - uses: actions/checkout@v4
    - name: Set up JDK 21
      uses: actions/setup-java@v4
      with:
        java-version: '21'

		var isSet bool
		for _, userMetadataPrefix := range userMetadataKeyPrefixes {
			if !stringsHasPrefixFold(k, userMetadataPrefix) {
				continue
			}
			// check the doc https://docs.aws.amazon.com/AmazonS3/latest/userguide/UsingMetadata.html
			// For metadata values like "ö", "ÄMÄZÕÑ S3", and "öha, das sollte eigentlich
			// funktionieren", tested against a real AWS S3 bucket, S3 may encode incorrectly. For

body:
  - type: markdown
    attributes:
      value: |
        Thanks for taking the time to fill out this bug report.     

        Simple fixes in single PRs do not require issues. 
  
        **Do you use the latest project version?**

  - type: input
    id: version
    attributes:
      label: Affected version
    validations:
      required: true

  - type: textarea
    id: message
    attributes:

        triggerName = StageName.PULL_REQUEST_FEEDBACK.uuid,
    ) {
    init {
        id("Promotion_NightlyDocumentation")
        name = "Nightly Documentation"
        description =
            "Promotes the latest successful documentation changes on '${branch.branchName}' from Ready for Nightly as a new nightly documentation snapshot"

        triggers {
            branch.nightlyPromotionTriggerHour?.let { triggerHour ->

## Pydantic `Settings` { #pydantic-settings }

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Install `pydantic-settings` { #install-pydantic-settings }

* `datetime.timedelta`:
    * Pythonの`datetime.timedelta`です。
    * リクエストとレスポンスでは合計秒数の`float`で表現されます。
    * Pydanticでは「ISO 8601 time diff encoding」として表現することも可能です。<a href="https://docs.pydantic.dev/latest/concepts/serialization/" class="external-link" target="_blank">詳細はドキュメントを参照してください</a>。
* `frozenset`:
    * リクエストとレスポンスでは`set`と同じように扱われます:
        * リクエストでは、リストが読み込まれ、重複を排除して`set`に変換されます。
        * レスポンスでは`set`が`list`に変換されます。

// is different from regular HTTP range header. It only supports the
// form `bytes=first-last` where first and last are zero-based byte
// offsets. See
// http://docs.aws.amazon.com/AmazonS3/latest/API/mpUploadUploadPartCopy.html
// for full details. This function treats an empty rangeString as
// referring to the whole resource.
func parseCopyPartRangeSpec(rangeString string) (hrange *HTTPRangeSpec, err error) {

    @J2ObjCIncompatible // ClassValue
    enum ClassValueValidator implements GetCheckedTypeValidator {
      INSTANCE;

      /*
       * Static final fields are presumed to be fastest, based on our experience with
       * UnsignedBytesBenchmark. TODO(cpovirk): benchmark this
       */
      private static final ClassValue<Boolean> isValidClass =
          new ClassValue<Boolean>() {

name: Set nightly branch to master HEAD

permissions: {}

jobs:
  master-to-nightly:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
    - uses: zofrex/mirror-branch@0be56f4c8077a288a635a491b306ba0bb1c810e6 # v1.0.4
      name: Set nightly branch to master HEAD
      with:

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.