<c:if test="${editable}">
                                    <button type="button" class="btn btn-danger" name="delete"
                                            data-toggle="modal" data-target="#confirmToDelete"
                                            value="<la:message key="labels.design_delete_button" />">
                                        <em class="fa fa-trash">

<a href="https://ko.wikipedia.org/wiki/%EB%A7%88%ED%81%AC%EB%8B%A4%EC%9A%B4" class="external-link" target="_blank">마크다운</a> 문법으로 독스트링을 작성할 수 있습니다, 작성된 마크다운 형식의 독스트링은 (마크다운의 들여쓰기를 고려하여) 올바르게 화면에 출력됩니다.

```Python hl_lines="19-27"
{!../../docs_src/path_operation_configuration/tutorial004.py!}
```

이는 대화형 문서에서 사용됩니다:

	case conf.AWSRoleWebIdentityTokenFile != "" && conf.AWSRoleARN != "":
		sessionName := conf.AWSRoleSessionName
		if sessionName == "" {
			// RoleSessionName has a limited set of characters (https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html)
			sessionName = "minio-tier-" + mustGetUUID()
		}
		s3WebIdentityIAM := credentials.IAM{
			Client: &http.Client{
				Transport: NewHTTPTransport(),
			},

    }
    Object result;
    try {
      result = supplier.get();
    } catch (Throwable t) {
      if (predicate.apply(t)) {
        // We are careful to set up INSTANCE_OF to match each Predicate to its target Class.
        @SuppressWarnings("unchecked")
        T caught = (T) t;
        return caught;
      }
      throw new AssertionError(

    }
    Object result;
    try {
      result = supplier.get();
    } catch (Throwable t) {
      if (predicate.apply(t)) {
        // We are careful to set up INSTANCE_OF to match each Predicate to its target Class.
        @SuppressWarnings("unchecked")
        T caught = (T) t;
        return caught;
      }
      throw new AssertionError(

<img src="/img/tutorial/security/image12.png">

## ✅ 🆔

📥 🌅 🏁 🖼.

⚙️ 🔗 ✅ 🚥 🆔 &amp; 🔐 ☑.

👉, ⚙️ 🐍 🐩 🕹 <a href="https://docs.python.org/3/library/secrets.html" class="external-link" target="_blank">`secrets`</a> ✅ 🆔 &amp; 🔐.

`secrets.compare_digest()` 💪 ✊ `bytes` ⚖️ `str` 👈 🕴 🔌 🔠 🦹 (🕐 🇪🇸), 👉 ⛓ ⚫️ 🚫🔜 👷 ⏮️ 🦹 💖 `á`, `Sebastián`.

🍵 👈, 👥 🥇 🗜 `username` &amp; `password` `bytes` 🔢 👫 ⏮️ 🔠-8️⃣.

Porém, ao verificar benchmarks e comparações você deve prestar atenção ao seguinte:

comparações independentes da TechEmpower mostram as aplicações **FastAPI** rodando com Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">um dos _frameworks_ Python mais rápidos disponíveis</a>, somente atrás dos próprios Starlette e Uvicorn (utilizados internamente pelo FastAPI). (*)

Mas quando se checa _benchmarks_ e comparações você deveria ter o seguinte em mente....

on:
  schedule:
    - cron: "30 1 * * *"

permissions:
  contents: read

jobs:
  close-issues:
    # Don't do this in forks
    if: github.repository == 'tensorflow/tensorflow'
    runs-on: ubuntu-latest
    permissions:
      issues: write
      pull-requests: write
    steps:
      - name: Awaiting response issues
        uses: actions/stale@28ca1036281a5e5922ead5184a1bbf96e5fc984e # v9.0.0
        with:

* What test cases should it have? What could go wrong?
* How will it roughly be implemented? We'll happily provide code pointers to save you time.

We may ask you to answer these questions directly in the GitHub issue or (for large changes) in a shared Google Doc.