```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

# First, set your TFCI variable to choose the environment settings.
#   TFCI is a comma-separated list of filenames from the envs directory, which

{% if people %}
<div class="user-list user-list-center">
{% for user in people.last_month_active %}

<div class="user"><a href="{{ user.url }}" target="_blank"><div class="avatar-wrapper"><img src="{{ user.avatarUrl }}"/></div><div class="title">@{{ user.login }}</div></a> <div class="count">Fragen beantwortet: {{ user.count }}</div></div>

* Revisar Pull Requests, [especially important for translations](contributing.md#traducoes){.internal-link target=_blank}.

Uma salva de palmas para eles. 👏 🙇

## Usuários mais ativos do ultimo mês

Estes são os usuários que estão [helping others the most with issues (questions) in GitHub](help-fastapi.md#responda-perguntas-no-github){.internal-link target=_blank} durante o ultimo mês. ☕

{% if people %}

* Переглядають пул реквести, [особливо важливо для перекладів](contributing.md#translations){.internal-link target=_blank}.

Оплески їм. 👏 🙇

## Найбільш активні користувачі минулого місяця

Це користувачі, які [найбільше допомагали іншим із проблемами (запитаннями) у GitHub](help-fastapi.md#help-others-with-questions-in-github){.internal-link target=_blank} протягом минулого місяця. ☕

{% if people %}

**Typer** est le petit frère de FastAPI. Et il est destiné à être le **FastAPI des <abbr title="Command Line Interface">CLI</abbr>**. ⌨️ 🚀

## Prérequis

FastAPI repose sur les épaules de géants :

* <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> pour les parties web.

!!! info
    Beautiful illustrations by <a href="https://www.instagram.com/ketrinadrawsalot" class="external-link" target="_blank">Ketrina Thompson</a>. 🎨

---

Imagine you are the computer / program 🤖 in that story.

While you are at the line, you are just idle 😴, waiting for your turn, not doing anything very "productive". But the line is fast because the cashier is only taking the orders (not preparing them), so that's fine.

                <link>http://jakarta.apache.org/commons/logging/apidocs/</link>
                <link>http://jakarta.apache.org/commons/pool/apidocs/</link>
                <link>http://www.junit.org/junit/javadoc/</link>
                <link>http://logging.apache.org/log4j/docs/api/</link>
                <link>http://jakarta.apache.org/regexp/apidocs/</link>
                <link>http://jakarta.apache.org/velocity/api/</link>

 - [ ] Format the pull request title like `[MNG-XXX] SUMMARY`,
       where you replace `MNG-XXX` and `SUMMARY` with the appropriate JIRA issue.
 - [ ] Also format the first line of the commit message like `[MNG-XXX] SUMMARY`.
       Best practice is to use the JIRA issue title in both the pull request title and in the first line of the commit message.

 *
 * Each test is a line of the file `toascii.json`.
 */
@Serializable
class WebPlatformToAsciiData {
  var input: String? = null
  var output: String? = null
  var comment: String? = null

  override fun toString() = "input=$input output=$output"

  companion object {
    fun load(): List<WebPlatformToAsciiData> {

      object : BasicDerAdapter.Codec<T> {
        override fun decode(reader: DerReader): T {
          return reader.withTypeHint {
            val list = mutableListOf<Any?>()

            while (list.size < members.size) {
              val member = members[list.size]
              list += member.fromDer(reader)
            }

            if (reader.hasNext()) {