// WEB-INF/classes
        buf.append("WEB-INF");
        buf.append(File.separator);
        buf.append("classes");
        // target/classes
        final String userDir = System.getProperty("user.dir");
        final File targetDir = new File(userDir, "target");
        final File targetClassesDir = new File(targetDir, "classes");
        if (targetClassesDir.isDirectory()) {
            buf.append(cpSeparator);

        "//tensorflow/python:pywrap_tensorflow_internal",
    ]),
)

# ** Targets for Windows build (start) **

# Build a shared library (DLL) by cc_binary from tf_custom_op_library_additional_deps_impl,
# it contains all object code from its dependencies.
# This target is only used for parsing the symbols to be exported in tensorflow.dll.
# Do NOT depend on it.
tf_native_cc_binary(

                                <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:

      ->set_disable_optimize_for_static_graph(true);
  return out;
}
void TF_DeleteSessionOptions(TF_SessionOptions* opt) { delete opt; }

void TF_SetTarget(TF_SessionOptions* options, const char* target) {
  options->options.target = target;
}

void TF_SetConfig(TF_SessionOptions* options, const void* proto,
                  size_t proto_len, TF_Status* status) {
  if (!options->options.config.ParseFromArray(proto, proto_len)) {

    }
    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....